The Qlik Sense Business Analyst Certification Exam - 2024 (QSBA2024) validates your ability to design, build, and deploy analytics applications using Qlik Sense. This exam is designed for professionals who work with business requirements, data preparation, application design, and end-user delivery in Qlik environments. This page outlines the exam structure, core topics, and practical preparation strategies to help you succeed. Whether you are new to Qlik Sense or advancing your credentials, understanding the syllabus and question formats is essential for confident, focused study.
Use this topic map to guide your study for Qlik QSBA2024 (Qlik Sense Business Analyst Certification Exam - 2024) within the Qlik Sense path.
The QSBA2024 exam uses a mix of question types to assess both conceptual knowledge and practical decision-making in real-world analytics scenarios.
Questions progress in difficulty and emphasize practical application over memorization, reflecting the skills you need in production Qlik Sense environments.
An efficient study plan maps each core topic to weekly milestones and incorporates active practice. Dedicate time to each domain, then integrate them through realistic scenarios that mirror your day-to-day work.
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While all four domains are important, Develop Application and Design Applications typically account for a larger portion of the exam because they directly test your hands-on ability to build and optimize Qlik Sense applications. However, strong performance across Identify Requirements and Prepare and Load Data is essential, as these foundational skills support successful application development.
In practice, these domains form a continuous cycle. You begin by gathering business requirements (Identify Requirements), then design the data model and user experience (Design Applications). Next, you prepare and validate data from source systems (Prepare and Load Data), and finally you build the working application (Develop Application). Understanding these connections helps you answer scenario-based questions that test your grasp of the full analytics workflow.
Ideally, you should have practical experience building at least one or two complete applications from requirements through deployment. Hands-on labs focusing on data modeling, expression building, and visualization design are especially valuable. If you are new to Qlik Sense, prioritize labs that cover data connections, dimension and measure creation, and basic dashboard development before attempting the exam.
Many candidates underestimate the importance of data quality and preparation, leading to errors on Prepare and Load Data questions. Others rush through scenario-based items without fully analyzing the business context, missing the best solution. Additionally, confusing similar Qlik Sense features or misunderstanding aggregation behavior can lead to incorrect choices. Careful reading and linking each question back to real-world project experience helps avoid these pitfalls.
In your final week, focus on areas where you scored below 80 percent on practice tests rather than re-reading all material. Take a full-length timed practice test to simulate exam conditions, then spend time on detailed review of any missed questions. On the day before the exam, do a light review of key terminology and formulas, but avoid heavy studying that could cause fatigue. Rest well and approach the exam with confidence in your preparation.
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 to this app.
The business analyst must include the following:
* Ability to dynamically change the number of countries and cities
* Display a maximum of 10 countries
* Display a maximum of 5 cities per country
Which steps should the business analyst take?
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.
A business analyst needs to create two side-by-side charts for a sales department with the following data:
* Number of orders
* Name of the customer
* Percentage of margin
* Total sales
The charts use a common dimension, but each chart has different measures. The analyst needs to create a color association between the two charts on the dimension values.
Which action should the business analyst take?
In Qlik Sense, the 'By Dimension' and 'Persistent colors' options in the Colors property panel ensure that the same dimension values have the same color across multiple charts. This is especially useful when you have two or more side-by-side charts sharing a common dimension, like customer names in this case. Persistent colors guarantee consistency in color assignment, helping users visually track the same dimension across different visualizations.
Key Concepts:
By Dimension: This option ensures that each unique value of a dimension (e.g., customer name) gets a distinct color across all charts that use this setting.
Persistent Colors: This feature ensures that the colors remain the same between charts, making the visual comparison across charts easier for the users.
Why the Other Options Are Less Suitable:
A . Use nested IF statements to set the colors by expression for each dimension value: While this would work, it would be unnecessarily complex to maintain and manage, especially with many dimension values.
B . Define the color values in the master measures and use the color library: This would only apply if the goal was to set colors based on measures, not dimensions. In this case, dimension consistency is required, not measure-based coloring.
D . Use the FieldIndex function to set the colors by expression for each dimension value: This would involve writing complex expressions that would not be as straightforward as using the built-in functionality of 'By Dimension' and 'Persistent colors'.
References for Qlik Sense Business Analyst:
Color Consistency Across Charts: The 'By Dimension' and 'Persistent colors' settings are recommended in Qlik Sense documentation when creating multi-chart layouts with shared dimensions, ensuring visual coherence across different charts.
The Persistent colors and By Dimension settings offer a straightforward and maintainable way to create color associations across charts, making option C the verified solution.
A project management team uses an app to monitor different projects.
* Projects may have co-dependent tasks and processes
* Some projects include subtasks
The business analyst needs to use a diagram similar to a workflow with the processes and the sub tasks represented as boxes with lines to relate them to each other. The color of the boxes could also be determined by the status of each project or task.
Which visualization should be used?
A Network chart is the most suitable visualization for representing processes and tasks that have dependencies, such as projects with co-dependent tasks and subtasks. The network chart allows you to visualize relationships between nodes (in this case, tasks and subtasks) and can display them in a structured manner with lines connecting them based on their relationships. The colors of the boxes (or nodes) can be determined by the status of each project or task, which matches the requirements.
Key Concepts:
Network Chart: It's designed for showing interconnections or relationships between various elements. It is ideal when tasks or processes have dependencies or subtasks that need to be visually represented with links between them.
Color Representation: In a Network Chart, you can easily apply colors to nodes based on specific criteria, such as the status of the task, making it easier for users to track project progress at a glance.
Why the Other Options Are Less Suitable:
A . Sankey chart: While Sankey charts are used to show flow and relationships between categories, they are better suited for representing flows of data or values between stages, not hierarchical or task-related dependencies.
B . Grid chart: A grid chart is used to display values in a matrix but does not provide the relational and hierarchical representation needed for tasks and subtasks.
C . Org chart: Org charts are useful for showing hierarchies but are more structured for organization personnel or roles rather than co-dependent tasks and workflows.
References for Qlik Sense Business Analyst:
Network Diagram: Network charts are widely used for visualizing complex relationships between entities, which aligns with the need to visualize tasks and subtasks in project management.
Thus, a Network chart provides the best solution for visualizing tasks and subtasks with their dependencies, making D the correct answer.
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 Year.
How 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.
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.
Which visualization should the business analyst use?
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.
