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Qlik Sense Business Analyst Certification Exam-2024

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QlikView QSBA2024 Sample Questions – Free Practice Test & Real Exam Prep

Question #1

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 #2

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 #3

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 #4

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 #5

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 #6

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? 

  • A. Sum( { < year="|" '2022,="" }="" /> } Sales) 
  • B. Sum( { $ < year="{" '2022*="" )="" /> } Sales) 
  • C. Sum( { 1 < year="{" '2022'="" )="M /> ) Sales) 
  • D. Sum( 1 { < year="(" '2022'="" )="" /> ) Sales)
Answer: C 
Explanation:
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 #7

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 #8

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 #9

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 #10

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
format, making A the correct answer.

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