Qlik Sense Business Analyst Certification Exam-2024
Update Date
29 Aug, 2026
Total Questions
50 Questions Answers With Explanation
$59
$69
$79
Prepare Smarter for the QSBA2024 with Pass4itexam
At Pass4itexam, we believe in smart preparation. That’s why we’ve built a complete guide to help you succeed in the QlikView QSBA2024 exam. Whether you’re a first-time test taker or revisiting certification, our expert-curated PDF dumps for QSBA2024 are your shortcut to confidence and clarity.
This isn’t just a question bank—it’s a full prep system. Our materials reflect real exam objectives, with relevant scenarios and actual exam-style questions. You’ll get to know the format, practice effectively, and reduce test-day anxiety.
What to Expect from Our QSBA2024 Preparation
1. Straightforward Study Material
Exam-Aligned Content: Every topic we cover is mapped to QlikView's objectives, so no wasted time.
Easy to Understand: No fluff, no filler—just simplified concepts that actually stick.
2. Real Practice for Real Exams
True-to-Exam Questions: Practice on material that mirrors the real QSBA2024 exam format.
Instant Feedback: Learn from your mistakes and understand the “why” behind the answers.
3. Smart Strategies That Work
Master time management to reduce pressure during the exam.
Use our proven techniques to handle tricky or unexpected questions.
Learn patterns and question logic to boost your confidence.
4. Always Updated, Always Relevant
90 Days Free Updates: We keep your dumps current, so you’re never studying outdated content.
Based on Real Feedback: We monitor exam changes and adjust quickly.
Your Success Is Our Promise
If you use our QSBA2024 prep materials and still don’t pass, we’ll refund you—simple as that. No hidden terms. No stress.
We stand behind our products with a full 100% Money-Back Guarantee, because we know our materials deliver results.
Final Thoughts
If you’re serious about passing the QlikView QSBA2024 certification, you’re in the right place. Our resources are designed to help you save time, study smarter, and get certified faster.
Add Your Review About QlikView QSBA2024 Exam Dumps
Question # 1
In the 'Sales By Product' bar chart, a customer wants to highlight a specific product bar that includes
a dynamic label. The label will only be visible when conditions are met. Which feature should the
business analyst add to the bar chart?
A. A Color By Expression property under Appearance B. A Dimension reference line add-on C. An Alternative dimension with a calculation D. A reference line add-on under Properties
Answer: A
Explanation:
To dynamically highlight a specific product bar in a bar chart based on conditions, the best approach
is to use the Color By Expression feature under the Appearance settings in Qlik Sense. This feature
allows you to apply conditional formatting to bars, changing their color dynamically based on
expression logic.
A . A Color By Expression property under Appearance
This is the correct answer. The Color By Expression property allows the business analyst to
dynamically color bars in the chart based on specific conditions. The expression can be set to
highlight a specific product bar only when certain conditions are met, and the color can be
customized to make it stand out.
B . A Dimension reference line add-on
Dimension reference lines are used to show thresholds or important values along the axes, but they
do not dynamically color the bars or add conditional labels to them. This would not achieve the
desired effect.
C . An Alternative dimension with a calculation
Alternative dimensions allow users to switch between different dimensions in the same chart, but
they do not provide dynamic highlighting or conditional visibility for labels.
D . A reference line add-on under Properties
Reference lines are used to mark specific values or thresholds in a chart, but they do not interact with
the dynamic coloring or visibility of labels on individual bars.
Key Qlik Sense Business Analyst References:
Color By Expression is a powerful feature in Qlik Sense that allows dynamic customization of chart
colors based on expressions, making it ideal for highlighting specific data points or conditions.
This feature provides great flexibility in creating visually engaging and interactive charts that respond
to changes in the underlying data or user selections.
Thus, the correct way to highlight a specific product bar with a dynamic label is to use Color By
Expression under Appearance.
Question # 2
The human resources department needs to see a distribution of salaries broken down by departmentwith standard deviation indicators.Which visualization should the developer use?
A. Distribution plot B. Box plot C. Histogram D. Scatter plot
Answer: B
Explanation:
A box plot is the best visualization for displaying the distribution of salaries broken down by
department with standard deviation indicators. Box plots show the spread of data, including key
measures like quartiles, median, and outliers, which are useful for analyzing salary distributions.
They also naturally incorporate standard deviation indicators through the spread of data.
Key Concepts:
Box Plot: This type of chart is designed for analyzing the distribution of data across different
categories (in this case, departments). It shows the spread and variability of data, which can include
standard deviations.
Why the Other Options Are Less Suitable:
A . Distribution plot: While a distribution plot can show spread, its not as effective for showing
standard deviation and is less suited for categorical breakdowns.
C . Histogram: A histogram shows the distribution of a single variable, but it doesnt provide the
same detailed breakdown as a box plot.
D . Scatter plot: Scatter plots are used for showing relationships between two variables and are not
suitable for showing standard deviation across departments.
References for Qlik Sense Business Analyst:
Box Plot for Distribution Analysis: Box plots are ideal for visualizing data distribution and variability
across categories, making them the preferred choice for analyzing salary distribution by department.
Thus, the box plot is the best choice for visualizing salary distribution with standard deviation
indicators, making B the verified answer.
Question # 3
A business analyst is creating an app that contains a bar chart showing the top-selling productcategories. The users must be able to control the number of product categories shown.Which action should the business analyst take?
A. Create a variable and variable input object and use variable in dimension limit field B. Use firstsortedvalue() function to extract the required product categories C. Create a variable and variable input object and use variable in the sales expression D. Use a rankQ function in the sales expression
Answer: A
Explanation:
When users need control over how many product categories are shown in a bar chart, the most
effective solution is to use a variable input object. This allows users to dynamically adjust the number
of categories displayed.
A . Create a variable and variable input object and use the variable in the dimension limit field.
This is the correct solution. By creating a variable and using the Variable Input object, the user can
dynamically control the number of product categories shown in the bar chart by adjusting the
dimension limit. This method provides flexibility and an intuitive interface for the user.
B . Use firstsortedvalue() function to extract the required product categories.
The firstsortedvalue() function is typically used to extract the first occurrence of a value based on
sorting criteria, but its not the best approach for controlling the number of displayed categories
dynamically.
C . Create a variable and variable input object and use the variable in the sales expression.
While variables can be used in expressions, this approach is less efficient than using the dimension
limit field, which is specifically designed for controlling the number of displayed values.
D. Use a rankQ function in the sales expression.
The rankQ function ranks data, but its not the most efficient or intuitive method for dynamically
controlling the number of product categories displayed in a bar chart. It would require more complex
expressions compared to the straightforward use of a variable in the dimension limit field.
Key Qlik Sense Business Analyst References:
The Variable Input object allows users to interact with and adjust variables within the app. This is
ideal for giving users control over visual elements like the number of categories displayed in a chart.
The Dimension Limit field is specifically designed to control how many items (like product categories)
are shown in a chart based on a ranking or expression.
Thus, the best approach to allow users to control the number of product categories displayed is
Question # 4
A customer is developing over 100 apps, each with several sheets that contain multiple visualizationsand text objects. The customer wants to standardize all colors used every object across every app.The customer also needs to be able to change these colors quickly, as required.Which steps should the business analyst take to make sure the color palette is easily maintained inevery app?
A.Design all base objects as master visualizationsLink each object in each app to the relevant master visualizationAdjust the data properties as required B.Develop the first app with every variation of object and visualization that will be requiredDuplicate this app to create every other appRemove the variations that are not required and adjust the ones needed C.Create all color expressions as variables in a text fileLoad it in each app with an include statementUse these variables in the color property of all objects D.Store color definitions within a .qvd fileHave each app load this file as a data island in the modelHave every object select its required color property from the rows within the data island
Answer: C
Explanation:
In scenarios where a customer needs to standardize colors across multiple apps and be able to
update them quickly, using variables in combination with an include statement is the most flexible
and maintainable approach.
A . Design all base objects as master visualizations and link each object in each app to the relevant
master visualization.
While master visualizations help with consistency within a single app, they don't offer an easy way to
update all apps globally. You would need to manually update the colors in every master visualization
in each app, which is not efficient for large-scale management.
B . Develop the first app with every variation of object and visualization and duplicate this app.
Duplicating apps will create maintenance challenges. Each app would need to be updated
individually if colors or other settings change, which is not scalable for over 100 apps.
C . Create all color expressions as variables in a text file, load it in each app with an include
statement, and use these variables in the color property of all objects.
This is the most efficient solution. By storing color definitions in a text file and loading them with an
include statement, the business analyst can update the colors in one place, and these updates will be
reflected across all apps that use the file. This method ensures easy maintenance and flexibility.
D . Store color definitions within a .qvd file and load it as a data island.
While using a .qvd file is possible, its not as straightforward as using variables and an include
statement. Data islands are typically used for selection purposes, and this method would introduce
unnecessary complexity in managing colors.
Key Qlik Sense Business Analyst References:
Variables are widely used in Qlik Sense for managing repeated expressions or values like colors. They
can be defined once and reused throughout the app.
Include statements allow external files (like text files containing variables) to be loaded into apps,
ensuring that updates made to the text file are automatically reflected in all apps that use it. This
creates a flexible and scalable solution for managing standardization across multiple apps.
Thus, the best way to maintain a standardized color palette across all apps is to create all color
expressions as variables in a text file and load them into each app using an include statement.
Question # 5
A marketing team needs to display sales for a limited number of products by providing a bar chartthat the user can control. The visualization has several requirements:Starts with the top five productsAllows the user to change the number of products displayedAllows the user to scroll through all products on a mini chartThe business analyst creates a bar chat and a variable. Which steps should the business analystcomplete next?
A.Add the slider object and use the variable to set its valueSet the number of bars to custom and use the variable to set its value B.Use the variable to fix the limitationAdd an input box to enable the user to enter the required value C.Use the variable to fix the limitationAdd a slider object and use the variable to set its value D.Add the slider object and use the variable to set its valueUse the properties to set the number of bars to custom
Answer: A
Explanation:
To meet the requirement of controlling the number of products displayed in the bar chart, the
business analyst should use a slider object tied to a variable. The variable will store the number of
products the user wants to display. In the Appearance section of the bar chart's properties, the
analyst can set the number of bars to a custom value using the variable, ensuring that the user can
dynamically change the number of displayed products.
Key Concepts:
Slider Object: This provides a user-friendly way for users to adjust the number of products displayed
in the bar chart.
Custom Bar Limitation: By setting the number of bars displayed to a custom value controlled by the
variable, the business analyst ensures that the user can dynamically adjust how many products are
shown.
Why the Other Options Are Less Suitable:
B . Use the variable to fix the limitation and add an input box: While this could work, sliders provide a
better, more intuitive user experience than input boxes for adjusting values dynamically.
C . Use the variable to fix the limitation and add a slider: This is almost correct, but it misses the step
of setting the number of bars to a custom value using the variable.
D . Add the slider object and set its value, but without custom bar settings: While adding a slider is
correct, not setting the number of bars to custom using the variable means the user wouldnt be able
to dynamically control the number of displayed products.
References for Qlik Sense Business Analyst:
Dynamic Control with Variables and Sliders: Qlik Sense best practices recommend using sliders and
variables to give users control over visualizations, particularly when it comes to dynamically limiting data displayed.
Thus, adding the slider object and setting the number of bars to a custom value controlled by the
variable is the best solution, making A the verified answer.
Question # 6
A business analyst receives multiple requests for a variety of different filter panes to be placed on adashboard. Users need to filter on many different values across different fields.Which Qlik Sense feature do the users need to learn about to meet their needs?
A. Smart search B. Data model viewer C. Insight Advisor D. Governed self-service
Answer: A
Explanation:
When users need to filter across many different fields and values in a Qlik Sense dashboard, the most
efficient feature they can use is Smart Search. Smart Search allows users to quickly search across all
fields within the data model, enabling them to find relevant information and apply filters in a
streamlined manner.
A . Smart search
This is the correct option. Smart Search enables users to enter search terms and find matches across
all fields in the data model, allowing for quick and intuitive filtering. It helps users locate specific data
points or filter across multiple fields at once, making it highly efficient when multiple filter panes are
needed.
B . Data model viewer
The Data Model Viewer provides a visual representation of the relationships between data tables in
the model. While it's useful for understanding the data structure, its not a tool for filtering or user
interaction with data.
C . Insight Advisor
The Insight Advisor is designed for guided analytics, providing suggestions and generating
visualizations based on user queries. It does not offer the comprehensive filtering capabilities that
Smart Search does.
D . Governed self-service
Governed self-service refers to the balance between providing users with flexibility in creating their
own visualizations while maintaining control over data governance. Its not related to filtering or
searching data in the same way as Smart Search.
Key Qlik Sense Business Analyst References:
Smart Search in Qlik Sense is designed to provide fast, interactive search capabilities that span across
all fields, enabling complex filtering in an easy-to-use interface.
This feature allows users to filter multiple fields simultaneously, saving time and effort when
analyzing diverse data sets.
Thus, the correct feature for filtering on multiple values across different fields is Smart Search.
Question # 7
A business analyst is building an app to analyze virus outbreaks. They create a bar chart using adimension of Continent, and a measure of Sum (Knowning sections). They require a secondary bar onthe chart, so they create a second measure using Count (MajorCities).The bar chart adjusts, but no bars are visible for this second measure. Which action should thebusiness analyst take to resolve this issue?
A. Enable Value labels within the Presentation section of the Appearance properties B. Recreate the second measure as an alternative measure C. Change the Y-axis Range scale from Auto to Custom and select a suitable Max value D. Convert the bar chart to a combo chart and reconfigure the second measure to be a bar
Answer: D Explanation:
In this scenario, the second measure (Count of MajorCities) is likely not being displayed because the
two measures”Sum(Knowing sections) and Count(MajorCities)”are on vastly different scales.
When two measures have significantly different ranges, one of them may not be visible on the same
Y-axis, causing the issue you're seeing where no bars are visible for the second measure.
By converting the bar chart to a combo chart, the business analyst can display both measures with
appropriate configurations. The combo chart allows you to display different measures in different
ways, such as using one axis for the first measure (e.g., bars for Sum(Knowing sections)) and another
axis for the second measure (e.g., bars for Count(MajorCities)), ensuring that both are visible on the
chart.
Key Concepts:
Combo Chart: This type of chart allows you to display multiple measures using different axis scales or
types of visualization (e.g., bars and lines).
Scale Mismatch: When two measures differ significantly in scale, they may not be displayed properly
on the same axis. A combo chart helps by allowing separate Y-axes for each measure.
Why the Other Options Are Less Suitable:
A . Enable Value labels: While value labels can help show specific data points, they won't resolve the
issue of one measure being invisible due to scale differences.
B . Recreate as an alternative measure: This would allow switching between measures, but the
requirement is to show both measures simultaneously.
C . Change Y-axis Range to Custom: While adjusting the Y-axis manually might help, its not the best
solution because the scale difference between the two measures might still cause issues, and it
would be harder to adjust dynamically.
References for Qlik Sense Business Analyst:
Combo Charts for Multiple Measures: Combo charts are recommended in Qlik Sense when you need
to display multiple measures with different scales.
Thus, converting the bar chart to a combo chart ensures both measures are properly displayed,
making D the correct answer.
Question # 8
A business analyst created a visualization that has a color indicator when an order is below a certain
fixed profit threshold. This visualization now needs to change so that the threshold can be defined by
the user. The user base is approximately 1000 heavy Excel users. These thresholds will be defined by
each user somewhat frequently, although the data changes only once per day.
Which action should the business analyst take to update this visualization?
A. Add a threshold field and provide a filter pane for that field for users to select B. Allow users to define their threshold in a shared spreadsheet and increase the app reload frequency to every hour
C. Introduce a variable for the threshold that is controlled by a variable slider D. Create threshold values in the data manager using the Bucket function
Answer: C Explanation: The best approach to allow users to frequently adjust the profit threshold in the visualization is to use a variable controlled by a variable slider. This method allows each user to adjust the threshold value
independently without requiring any changes to the data model or the visualization itself. Given that
the user base consists of heavy Excel users, using a slider provides a familiar and intuitive way to
interact with the threshold.
Key Concepts:
Variables and Sliders: Variables can be used to store threshold values, and sliders provide an easy
way for users to adjust those variables interactively.
User Interaction: A variable slider is a user-friendly option for adjusting thresholds frequently,
especially for users who are accustomed to working with data interactively.
Why the Other Options Are Less Suitable:
A . Threshold field with a filter pane: This option is less flexible and doesn't allow the same dynamic
interaction as a variable and slider.
B . Shared spreadsheet and frequent app reloads: This approach is inefficient and would increase the
load on the system unnecessarily. It is also less user-friendly for frequent threshold adjustments.
D . Bucket function: The Bucket function is not appropriate for this case, as it creates static groupings,
which would not allow the user to adjust the threshold dynamically.
References for Qlik Sense Business Analyst:
Interactive Thresholds with Variables: Qlik Sense's variables and slider objects provide the best
mechanism for dynamically controlling thresholds in a visualization.
Thus, introducing a variable for the threshold and controlling it with a variable slider is the best
solution, making C the correct answer
Question # 9
A company has recently implemented Qlik Sense. A user is looking to use natural language questions
to help create content. Which feature can achieve this goal?
A. Advanced Authoring B. Story and Bookmarks C. Insights Advisor Chat D. Associative Engine
Answer: C
Explanation:
In Qlik Sense, the Insights Advisor Chat is the feature that allows users to interact with the app
through natural language questions. This tool leverages Qlik's advanced AI and machine learning
capabilities to interpret natural language queries and generate relevant insights, visualizations, or
suggestions for analysis.
A . Advanced Authoring
Advanced Authoring is a set of tools in Qlik Sense designed for creating detailed visualizations and
reports, but it does not include natural language interaction capabilities. It is focused more on
customization and precise design rather than conversational querying.
B . Story and Bookmarks
Storytelling and bookmarks in Qlik Sense are tools for narrative data presentations and saving
specific states of analysis. They do not provide the ability to ask natural language questions or
automatically generate insights.
C . Insights Advisor Chat
Insights Advisor Chat is the correct answer. This feature allows users to interact with their data by
typing natural language questions, which the system interprets to generate appropriate responses,
including charts, KPIs, and other insights. It is designed to assist non-technical users by making data
exploration more intuitive and accessible through natural language.
D . Associative Engine
The Associative Engine is the underlying technology that allows Qlik Sense to handle large datasets
and perform associative searches across them. While it is powerful for data exploration, it does not
provide a direct interface for natural language querying like Insights Advisor Chat does.
Key Qlik Sense Business Analyst References:
Insights Advisor Chat is a feature in Qlik Sense that empowers users to ask questions in natural
language and get meaningful responses without needing to be data experts.
It is part of Qlik Senses broader set of augmented intelligence tools that enhance the user
experience by providing guided insights and helping users discover relationships in data through
natural language queries.
This feature simplifies data exploration for business users who might not be familiar with complex
data querying techniques.
Thus, the feature that allows users to use natural language questions in Qlik Sense is Insights Advisor
Chat.
Question # 10
A business analyst is developing an app that contains a data model with fields: Country, City, Sales,ProductName, and ProductCategory. The global sales manager wants to add new visualizations tothis app.The business analyst must include the following:Ability to dynamically change the number of countries and citiesDisplay a maximum of 10 countriesDisplay a maximum of 5 cities per countryWhich steps should the business analyst take?
A. Create two variables: vCountry and vCityAdd a slider for vCountry and vCity max limit rangeApply the variable to each visualization B.Add an input field for vCountry and vCitySet the dimension limitation to the required maximum values: 5 and 10Apply the variable to each visualizationAdd a bookmark Country and City C.Add an input field for vCountry and vCitySet the dimension limitation to the required maximum values: 5 and 10Apply the variable to each visualization D. Create two variables: vCountry and vCityAdd a slider for vCountry and vCityApply the variable to each visualizationSet a sheet action that limits the data displayed
Answer: A
Explanation:
To meet the requirement of dynamically changing the number of countries and cities displayed in the
visualizations, the business analyst should use variables to control the number of countries and cities
shown. By creating two variables (vCountry and vCity), the analyst can use sliders to allow the user to
adjust the maximum number of countries (up to 10) and cities (up to 5 per country) that are
displayed. These variables can then be applied to each visualization to control the displayed data.
Key Concepts:
Variables: Variables allow users to dynamically adjust values in Qlik Sense visualizations. In this case,
sliders can be used to change the number of countries and cities displayed.
Slider Object: Adding a slider enables users to easily adjust the values of the variables vCountry and
vCity in a user-friendly manner.
Why the Other Options Are Less Suitable:
B . Input field and dimension limitation: This option is unnecessarily complex and doesn't provide the
same dynamic control as using variables and sliders.
C . Input field without sliders: While input fields could work, sliders offer a more intuitive way for
users to adjust the values dynamically.
D . Sheet action: Setting a sheet action to limit the data displayed is less flexible and doesn't provide
the same dynamic interaction as using variables and sliders.
References for Qlik Sense Business Analyst:
Dynamic Visualizations with Variables: Qlik Sense recommends using variables and interactive
objects like sliders to give users control over dynamic data visualizations.
Thus, the most effective solution is to create variables and use sliders to dynamically control the
number of countries and cities, making A the correct answer.
Question # 11
A dashboard developer finishes creating a supply chain analysis app and is presenting it to leadershipfor review. The landing page shows four visualizations including:Bar chart showing available supply by product categoryLine chart showing total cost of deliveries to the warehouse by month-yearScatter plot showing cost of delivery and time-to-deliver by productA map that shows the volume of delivery from suppliers to warehouses using a line layerLeadership asks the developer how they can see the total cost of delivery overall. How can theanalyst show this information to leadership?
A. Use the line chart to add up each month-year to get to the number required B. Create a KPI object that shows the total cost of delivery C. Adjust the line layer on the map to reflect cost of delivery D. Select all products in the scatter plot to see the total delivery cost
Answer: B
Explanation:
In Qlik Sense, when leadership requests a high-level summary such as the total cost of delivery
overall, the most efficient way to present this information is by using a KPI object. The KPI object is
specifically designed to display a single, important metric in a simple and clear format.
A . Use the line chart to add up each month-year to get to the number required.
This option is not efficient because it requires manual effort to add up the values from the line chart
for each period. Additionally, this method is prone to human error and would be time-consuming
during a presentation.
B . Create a KPI object that shows the total cost of delivery.
The most appropriate action here is to use a KPI object to display the overall total cost of delivery. A
KPI in Qlik Sense is specifically designed to display single, aggregate measures in a clean and concise
way, making it the perfect choice for presenting high-level summaries to leadership.
C . Adjust the line layer on the map to reflect the cost of delivery.
While it is possible to adjust the map, the map is primarily used for spatial analysis. Modifying it to
reflect the overall cost of delivery would not be as intuitive or effective as using a KPI object.
Additionally, it could lead to unnecessary clutter and confusion for the audience.
D . Select all products in the scatter plot to see the total delivery cost.
Selecting all products in the scatter plot would not give the desired result because the scatter plot is
designed to show relationships between variables (cost of delivery and time-to-deliver). Its not ideal
for displaying aggregate values like total cost.
Key Qlik Sense Business Analyst References:
KPI objects are ideal for presenting single, key metrics such as the total cost of delivery. They provide
a straightforward, visually clear representation of high-level performance indicators.
Best practices in dashboard development emphasize the importance of creating specific
visualizations that address both granular and high-level data needs. KPI objects fulfill the need for
high-level summaries, particularly in leadership presentations.
Thus, the best way to show the total cost of delivery to leadership is to create a KPI object.
Question # 12
A business analyst is working with retail data for consumer products. The customer is interested inthe following:Ability to look for outliers on sales volume and margin %Ability to understand the clustering of products visuallyAbility to see products that are above the median sales volumeWhich action should the business analyst take to implement these requirements?
A. Create a pivot table and color the sales volume cell using K-Means function and median salesvolume as an additional column B. Create a treemap visualization showing sales volume and margin% by product with the mediansales volume in the title C. Create a combo chart with K-Means colors for the bar and a line measure representing mediansales volume D. Create a scatter plot using K-Means to color the products and add a median sales volumereference line
Answer: D
Explanation:
A scatter plot is the best choice for visualizing outliers, clustering, and products that are above the
median sales volume. Scatter plots are excellent for showing relationships between two variables
(like sales volume and margin %) while providing the ability to highlight outliers. By using K-Means
clustering to color the products, the business analyst can visually group similar products.
Additionally, adding a median sales volume reference line makes it easy to identify which products
are above or below the median.
Key Concepts:
Scatter Plot: This visualization is ideal for detecting outliers and understanding the distribution and
clustering of data points.
K-Means Clustering: This technique groups similar data points (products) based on their values,
which helps to identify patterns visually.
Median Reference Line: Adding a reference line for median sales volume ensures that the analyst can
easily see which products are performing above or below the median.
Why the Other Options Are Less Suitable:
A . Pivot table: While a pivot table could show aggregated data, it is not as effective for visualizing
outliers or clustering as a scatter plot.
B . Treemap: A treemap can show hierarchical relationships but is not as effective for identifying
clusters or outliers.
C . Combo chart: A combo chart is not as well-suited for visualizing clustering and outliers as a scatter
plot.
References for Qlik Sense Business Analyst:
Outliers and Clustering Visualization: Qlik Sense recommends scatter plots for visualizing
relationships between two measures and for detecting outliers and clustering in the data.
Thus, creating a scatter plot with K-Means clustering and a median sales volume reference line is the
best approach, making D the verified answer.
Question # 13
A customer needs to demonstrate the value of sales for each month of the year with a rolling 3-
month summary. Which visualization should the business analyst recommend to meet the
customer's needs?
A. Scatter plot B. Mekko chart C. Combo chart D. Pie chart
Answer: C
Explanation:
A combo chart is the most suitable visualization to show the value of sales for each month along with
a rolling 3-month summary. The combo chart allows you to combine different types of visualizations,
such as bars for monthly sales values and a line for the rolling 3-month summary. This provides a
clear comparison and tracking of sales trends over time.
Key Concepts:
Rolling Summary: In this case, a 3-month rolling summary can be shown as a line measure in the
combo chart, while the sales values for each month can be shown as bars.
Combo Chart: This visualization is ideal for comparing multiple measures on the same axis, such as
individual sales values and aggregated rolling summaries.
Why the Other Options Are Less Suitable:
A . Scatter plot: A scatter plot is used to display the relationship between two variables, not to show
time-based trends or rolling summaries.
B . Mekko chart: Mekko charts are used for categorical data and comparisons across categories, not
for time-based analysis.
D . Pie chart: Pie charts are best suited for showing parts of a whole and are not appropriate for
visualizing time-based data or rolling summaries.
References for Qlik Sense Business Analyst:
Combo Charts for Time Series Data: Combo charts are highly recommended when there is a need to
compare different types of measures (like individual sales vs. rolling averages) over time in Qlik
Sense.
Thus, a combo chart provides the most effective solution for showing both monthly sales values and
the rolling 3-month summary, making C the correct answer.
Question # 14
A data analyst is working on a new Qlik Sense application and realizes that some of the required data
sources have already been used in previous applications. To streamline the data loading process and
maintain consistency, the analyst decides to leverage existing data connections.
What actions should the analyst take to utilize the pre-existing data connections in Qlik Sense?
A. Copy the script from the old application and paste it into the new application's script editor B. Access the Data load editor and select the desired data connection from the list of available
connections C. Export the data connection from the old application and import it into the new one D. Use a Qlik Sense extension to search and replicate data connections from other applications
Answer: B
Explanation:
In Qlik Sense, data connections are reusable objects that allow multiple apps to connect to the same
data sources. To leverage existing connections, the business analyst should go to the Data Load Editor
and select the desired connection from the list of available connections. This ensures that the analyst
uses the same data sources, promoting consistency across apps.
Key Concepts:
Data Connections: Qlik Sense allows users to create and manage connections to external data
sources. These connections can be reused across multiple applications.
Data Load Editor: This is where existing data connections can be accessed and used in new
applications, streamlining the data loading process.
Why the Other Options Are Less Suitable:
A . Copy the script from the old application and paste it into the new application's script editor:
While this could work, it's not the most efficient method, as it doesnt reuse the existing data
connection object, and its prone to errors.
C . Export the data connection from the old application and import it into the new one: Qlik Sense
doesn't require exporting and importing data connections since they are already available globally
for reuse across apps.
D . Use a Qlik Sense extension to search and replicate data connections: This is unnecessary because
Qlik Sense already allows direct access to existing data connections through the Data Load Editor.
References for Qlik Sense Business Analyst:
Reusing Data Connections: One of the key features of Qlik Sense is its ability to reuse data
connections across apps, which helps maintain consistency and reduces the need for redundant
setups.
Thus, the correct approach is to access the Data Load Editor and select the pre-existing data
connection, making B the verified answer.
Question # 15
A banking organization needs a dashboard that shows the following:A KPI indicator for current year (CY) versus last year (LY) revenueA scatter plot that shows the cost versus revenue of product categoriesA treemap that shows average customer satisfaction rating based on regionsA table that shows CY cost by record number, financial instrument, and bankIn addition to the customer satisfaction rating, which fields should be used to create the requiredmeasures?
A. CY Revenue, LY Revenue, CY Cost B. CY Revenue, LY Revenue, Cost C. Revenue and Cost D. Revenue and CY Cost
Answer: A
Explanation:
The banking dashboard requires several KPIs and visualizations based on current year (CY) and last
year (LY) revenue, as well as cost and customer satisfaction. To build the required measures, the
fields CY Revenue, LY Revenue, and CY Cost are necessary because they provide the comparison
between the current and previous year, as well as cost-related data for the specific calculations.
Key Concepts:
KPI for CY vs LY Revenue: This requires both CY Revenue and LY Revenue fields.
Scatter Plot for Cost vs Revenue: This comparison requires both CY Revenue and CY Cost to create the
necessary relationship in the scatter plot.
Treemap for Customer Satisfaction: In addition to the customer satisfaction rating, the field CY
Revenue would likely be used for additional insights by region.
Table with CY Cost: The table requires CY Cost data along with other relevant fields like record
number, financial instrument, and bank.
Why the Other Options Are Less Suitable:
B . CY Revenue, LY Revenue, Cost: While this covers the revenue fields, it does not specifically include
CY Cost, which is needed for the table and scatter plot.
C . Revenue and Cost: This option is too general and does not distinguish between current year and
last year revenue, which is essential for the KPI.
D . Revenue and CY Cost: This does not include LY Revenue, which is required for the KPI.
References for Qlik Sense Business Analyst:
Comparison Measures in Qlik Sense: In Qlik Sense, comparisons across time periods like CY and LY
require specific fields to calculate accurate insights, and its essential to ensure the appropriate fields
are included for each visualization.
Thus, A provides the correct set of fields for the required dashboard, making it the verified answer.
Question # 16
The VP of Sales asks a business analyst to include a KPI object on the sales dashboard that shows
total sales value for the year 2022, regardless of selections. Existing fields in the data model include
Sales and YearHow should the business analyst write the measure for the KPI object?
In this scenario, the VP of Sales wants to see the total sales for the year 2022 regardless of selections.
This requirement is best handled using Set Analysis in Qlik Sense. The key to achieving this is using
the set identifier 1, which ignores the user's selections and ensures the calculation is based on the
entire dataset. The expression Sum( { 1 < year = { '2022' } > } Sales) calculates the sum of sales for the
year 2022, irrespective of any other selections made in the app.
Key Concepts:
Set Identifier 1: This identifier ensures that the calculation is performed on the entire dataset,
ignoring any selections or filters applied by the user.
Year Filtering: The expression < year = { '2022' } > ensures that only sales from the year 2022 are
included in the calculation.
Why the Other Options Are Less Suitable:
A . Sum( { < year = '2022' > } Sales): This is incorrectly formatted, and the pipe (|) symbol should not
be used in this context.
B . Sum( { $ < year = { '2022' } > } Sales): The $ set identifier respects the current selections, which is
not what is needed in this case, as the VP wants the value to be shown regardless of selections.
D . Sum( 1 { < year = { '2022' } > } Sales): The placement of 1 is incorrect in this expression.
References for Qlik Sense Business Analyst:
Set Analysis: Qlik Sense's Set Analysis allows analysts to control what data is used in a calculation,
regardless of user selections. The set identifier 1 ensures that selections are ignored, which is
essential for showing fixed data such as total sales for a specific year.
Thus, the correct expression to show the total sales for 2022, regardless of user selections, is C.
Question # 17
A business analyst is developing an app that requires a complex visualization. The visualization isvery similar in style and configuration to another visualization in a different app, but the data modelsare completely different.Which action should the business analyst take to most efficiently create the new visualization?
A. Add the base visualization to the master items and use it as a template for the new visualization. B. Note the properties of the base visualization and create the new visualization from scratch. C. Copy and paste the visualization between the apps, and update the data properties in the newapp. D. Open both apps at the same time. Drag the base visualization between apps, then update the dataproperties.
Answer: C
Explanation:
When working with Qlik Sense apps, a business analyst often encounters situations where
visualizations may be highly similar between different apps, even if the underlying data models
differ. In such cases, efficiency is crucial, and Qlik Sense provides several methods to reuse
visualizations across apps. Let's break down the options:
A . Add the base visualization to the master items and use it as a template for the new visualization.
This option suggests adding the base visualization to the master items. While master items are useful
for reusing dimensions, measures, and visualizations within the same app, they do not easily transfer
across apps. In this case, since the visualization is required in a different app, this approach would
not be the most efficient or feasible.
B . Note the properties of the base visualization and create the new visualization from scratch.
This option involves manually noting the properties and then replicating them in the new app. While
this would work, it is labor-intensive and increases the likelihood of human error, especially in
complex visualizations. It is not an efficient solution for business analysts looking to save time.
C . Copy and paste the visualization between the apps, and update the data properties in the new
app.
This is the most efficient solution. Qlik Sense allows for the copying and pasting of visualizations
between different apps, and you can then adjust the properties to fit the new data model. This
option enables the business analyst to leverage existing visual work without having to recreate it
from scratch. Updating the data properties, such as dimensions and measures, ensures that the
visualization functions correctly with the new data model.
D . Open both apps at the same time. Drag the base visualization between apps, then update the
data properties.
While this seems like a practical option, Qlik Sense does not allow users to drag and drop
visualizations directly between different apps. As a result, this method is not possible.
Key Qlik Sense Business Analyst References:
Copying and pasting visualizations is a common practice in Qlik Sense when working between
different apps. The ability to quickly replicate and adapt visualizations across apps helps streamline
the development process.
Adjusting data properties such as dimensions and measures ensures that visualizations adapt to
different data models without the need for full recreation.
Efficiency and error reduction are critical in app development, and copy-paste functionalities are
specifically designed to reduce manual work in such scenarios.
In conclusion, the correct and most efficient action for the business analyst to take is C, copy and
paste the visualization, and then update the relevant data properties.
Question # 18
A business analyst needs to create a visualization that compares two measures over time using a
continuous scale that includes a range. The measures will be Profit and Revenue.
A. Line chart B. Bullet chart C. Bar chart D. Scatter plot
Answer: A
Explanation:
A line chart is the most appropriate visualization for comparing two continuous measures (Profit and
Revenue) over time. Line charts are designed to show trends and patterns over a continuous scale
(such as time), making it ideal for this scenario where we need to observe how both Profit and
Revenue vary across a period.
Key Concepts:
Continuous Scale: Line charts are specifically suited for continuous data like time, making them the
preferred choice when tracking changes over time for multiple measures.
Dual Measure Comparison: A line chart allows you to plot two measures on the same axis, making it
easy to compare their trends over the same period.
Why the Other Options Are Less Suitable:
B . Bullet chart: A bullet chart is used to compare a single measure against a target, not for tracking
two measures over time.
C . Bar chart: Bar charts are better suited for comparing categorical data, not continuous measures
over time.
D . Scatter plot: Scatter plots are used to compare relationships between two measures but are not
suited for continuous time-based comparisons.
References for Qlik Sense Business Analyst:
Line Charts for Time Series Data: Line charts are the recommended visualization for comparing
multiple measures over time in Qlik Sense, especially when working with continuous data like Profit
and Revenue.
Thus, the line chart is the best choice for this scenario, making A the correct answer.
Question # 19
A business analyst has access to all of a company's data for the past 10 years. The source tableconsists of the following fields: TransactionID, TransactionTime, Transaction Date, Transaction Year,Cardholder, Cardholder address, Cardissuer, and Amount.Users request to create an app based on this source with the following requirements:Users only review the data for the past 2 yearsData must be updated dailyUsers should not view cardholder infoWhich steps should the business analyst complete to improve the app performance?
A.Delete Cardholder and time fields in Data managerUse a bookmark based on auto-calendar fieldsUse the reload function in the sheet Editor asset panel B.Delete Cardholder and time fields in Data managerUse set analysis to show data based on transaction yearUse an API to perform a daily reload task C.Deselect Cardholder and time fields in Data managerUse a filter pane based on auto-calendar fieldsPerform a daily reload via the Data manager D.Deselect Cardholder and time fields in Data managerApply a filter to extract data based on transaction yearRequest a daily reload task from the system admin
Answer: D
Explanation:
The business analyst needs to optimize the app for performance and ensure that users only see data
from the past two years, without cardholder information, and that the data is updated daily. By
deselecting the Cardholder and time fields in the Data Manager, the analyst ensures that sensitive
information is not loaded. Applying a filter to extract data based on transaction year ensures that
only relevant data (the last two years) is included in the app, improving performance. Lastly,
requesting a daily reload task from the system administrator ensures that the app stays up to date.
Key Concepts:
Deselecting Fields: This removes unnecessary fields, such as Cardholder information, from the data
model, which improves performance and ensures privacy.
Filtering Data: Applying a filter to limit data to the last two years reduces the dataset size and
improves app responsiveness.
Daily Reload Task: Requesting a daily reload ensures that the apps data stays current, meeting the
requirement for daily updates.
Why the Other Options Are Less Suitable:
A . Delete Cardholder and time fields, use bookmark: A bookmark is not an efficient solution for
filtering by transaction year.
B . Set analysis and API reload: Set analysis works within the app but does not optimize the data load
itself. Using an API for reload tasks is unnecessarily complex.
C . Use filter pane and auto-calendar: While auto-calendar fields can be useful, they dont optimize
the data loading process for performance.
References for Qlik Sense Business Analyst:
Efficient Data Loading: Qlik Sense recommends filtering data at the load stage to improve
performance, especially when dealing with large datasets.
Thus, D is the correct solution, making it the verified answer.
Question # 20
The VP of Finance is requesting a presentable solution that allows them to share finance information
in monthly meetings with C-suite executives. Given the monthly meeting agendas, the solution must
be customizable.Which Qlik Sense feature should be implemented to meet this requirement?
A. Storytelling B. Insight Advisor Chat C. Action Buttons D. Bookmarks
Answer: A
Explanation:
Storytelling in Qlik Sense allows business users to create dynamic presentations based on data
insights. This feature is ideal for executives like the VP of Finance who need to share financial insights
in meetings. Storytelling allows users to create guided stories from data visualizations, offering a
customizable solution that can be tailored to the monthly meeting agendas.
Key Concepts:
Storytelling: This feature enables users to create data-driven stories with snapshots from Qlik Sense
visualizations, allowing for dynamic, customized presentations that can be updated as data changes.
Customizable: The VP of Finance can customize the presentation each month to focus on relevant
financial metrics and insights.
Why the Other Options Are Less Suitable:
B . Insight Advisor Chat: While helpful for querying data interactively, this option is not suited for
presenting data in a structured, presentable format to executives.
C . Action Buttons: Action buttons are used for navigating or interacting within apps, but they are not
relevant for creating presentations.
D . Bookmarks: Bookmarks save specific selections, but they dont provide the dynamic, presentable
format needed for meetings.
References for Qlik Sense Business Analyst:
Storytelling in Qlik Sense: This feature is often recommended for creating interactive, data-driven
presentations, especially for executive-level meetings.
Thus, Storytelling offers the most effective solution for presenting financial data in a customizable
0 Review for QlikView QSBA2024 Exam Dumps