Key details for this exam, checked against the published exam outline
Each question shows the correct answer and an explanation of why it is right
A company CEO requests an app that contains global sales information. The CEO needs to present this information to an audience of international investors during an upcoming meeting.
The presentation must meet several requirements:
* Contain visualizations that present clearly to a large audience
* Answer audience questions dynamically
* Be made available as shared content
* Emphasize important sales revenue
Which Qlik Sense features should the business analyst prepare?
To meet the CEO's requirements for a dynamic, interactive, and visually impactful presentation that can also be shared, the Storytelling feature in Qlik Sense is the best option. The Storytelling feature allows the business analyst to create a narrative combining static snapshots and live Qlik Sense sheets. This is perfect for large presentations as it lets the CEO present critical information and answer audience questions dynamically by embedding live sheets into the story, making the presentation interactive.
Key Concepts:
Storytelling: This feature allows the creation of a sequence of slides that include embedded live Qlik Sense visualizations, enabling dynamic responses to audience questions.
Shared Content: Once the app is published, it can be shared with a broader audience, allowing stakeholders to interact with the embedded sheets.
Why the Other Options Are Less Suitable:
A . Embed a video player: While videos can be useful, they do not allow for dynamic interaction, which is a requirement.
B . Colorful and layered visualizations exported as PDF: PDFs are static, and exporting as a PDF would not allow for dynamic interaction during the presentation.
C . NPrinting slideshow-style report: NPrinting is useful for generating reports, but it does not meet the need for live, dynamic presentations.
References for Qlik Sense Business Analyst:
Qlik Sense Storytelling for Presentations: Storytelling allows users to blend narrative and interactive elements, making it ideal for presenting to large audiences.
Thus, D is the best choice because it meets all the requirements for interactive and dynamic presentations, making it the verified answer.
A business analyst has access to all of a company's data for the past 10 years. The source table consists 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 years
* Data must be updated daily
* Users should not view cardholder info
Which steps should the business analyst complete to improve the app performance?
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 app's 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 don't 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.
A company has sales data where every Customer ID can be assigned to one or more Sales Account ID. Sales Accounts are assigned to one of eight Groups. The business analyst is creating an app with the following requirements:
* Each Group should have a separate sheet
* The Sales Account can only see its own customers
* The Sales Account can navigate only to the sheet for the Group assigned
The business analyst has created a Section Access table, in which each Sales Account ID is assigned their CustomerlDs. Which action should the business analyst take next?
The most effective way to control sheet access based on group assignment is to use the Group field in the Section Access table and apply it to the show/hide condition of the sheets. Each Sales Account ID is already mapped to a Group, so the business analyst can use this Group field to dynamically control which sheets are visible based on the user's Group assignment. This ensures that each Sales Account only sees their respective Group's sheet.
Key Concepts:
Section Access with Groups: By incorporating the Group field into Section Access, the analyst can restrict sheet visibility based on group membership.
Show/Hide Condition: This feature in Qlik Sense allows certain sheets or objects to be displayed or hidden based on conditions, in this case, the user's group.
Why the Other Options Are Less Suitable:
A . Sales Account ID as a filter: The Sales Account ID is used for data filtering but is not the appropriate condition for controlling sheet visibility.
B . Group as a filter on the sheet: While Group can be used as a condition, it must be managed through Section Access to ensure proper visibility control.
D . OSUser() function: While OSUser() can capture the user's login information, using the Group field in Section Access is more efficient for controlling access to specific sheets based on group assignments.
References for Qlik Sense Business Analyst:
Show/Hide Sheets Based on Section Access: Qlik Sense supports the use of Section Access for controlling access to sheets based on user roles and group assignments.
Thus, C is the most appropriate solution because it uses the Group field within Section Access to control sheet visibility, making it the correct answer.
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?
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 Sense's 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.
A business analyst is creating an app for the team. A set of selections must be applied every time an app is opened. Which action should the business analyst take to meet this requirement?
In Qlik Sense, default bookmarks allow a set of selections to be applied automatically whenever the app is opened. By creating a bookmark and setting it as the default, the business analyst ensures that the required selections are applied every time the app is opened, which meets the requirement of consistently applying the same selections for all users.
Key Concepts:
Default Bookmark: A default bookmark automatically applies the saved selections when an app is opened, ensuring consistency without manual input from users.
Bookmarking: This feature allows users to save specific selections or states of a dashboard for later use.
Why the Other Options Are Less Suitable:
A . Section Access: Section Access controls data access and security, not default selections.
B . Mashup with API: While this could technically work, it's unnecessarily complex and requires custom coding.
C . Sheet Action: A sheet action could apply a bookmark but would not ensure that the selections are applied at the time of app opening.
References for Qlik Sense Business Analyst:
Default Bookmark for Predefined Selections: This feature is commonly used to ensure that specific selections are always applied when an app is opened.
Thus, D is the best solution for applying default selections, making it the correct answer.
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 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.
A business analyst is creating an app using a dataset from ServiceNow. The dataset shows information about support cases, including how many days it has been since the case was opened (age).
The app requirements are:
* The dashboard must display support cases in categories based on the age (New, Aging, and Beyond Service Level Agreement)
* The categories will be used multiple times in the dashboard
* Given the volume of support cases, it is expected that the dataset will grow to be very large
Which solution is the most efficient way for the business analyst to create this app?
To efficiently categorize support cases based on age (New, Aging, Beyond SLA) for use in multiple places across the dashboard, the Bucket option in the Data Manager is the most efficient approach. Bucketing allows the business analyst to create new categories based on the values in an existing field (in this case, the age of support cases). Since the dataset is expected to grow, creating the categories directly within Qlik Sense ensures that the process is scalable without the need for external tools or extensive coding.
Key Concepts:
Bucket Function: This allows you to group numeric fields into predefined ranges or categories. The function is highly scalable, making it suitable for large datasets.
Efficiency: Creating a new field using Bucketing ensures that the categorization is done directly in the app, avoiding the need for external data sources or nested IF statements, which could impact performance.
Why the Other Options Are Less Suitable:
A . Ask the ServiceNow team to create the field: This would create a dependency on external teams and could delay the development process.
B . Create an Excel sheet: This adds unnecessary complexity and isn't scalable as the dataset grows.
D . Write a master dimension with a nested IF statement: While this could work, it's less efficient for handling large datasets and could result in slower performance.
References for Qlik Sense Business Analyst:
Bucketing Data: Qlik Sense recommends using the Bucketing feature for creating predefined ranges or categories, especially when dealing with large datasets.
Thus, using the Bucket option to create a new field for categories is the most efficient solution, making C the correct answer.
Exam domains verified against: Official Qlik QSBA2024 exam guide, last checked October 2026.
Analyze business requirements to determine which Qlik Sense features can deliver the needed solution. Recommend KPIs, dimensions, and measures based on how users will consume the information.
Sample question from this domain above: Q4
Create visualizations and application layouts that meet business needs. Enhance application designs based on stakeholder feedback and specific business requirements.
Create and enhance data models using Data Manager and verify them through the data model viewer. Ensure data models align with business requirements and optimize data loading based on scenarios.
Build and refine Qlik Sense applications from initial construction through to finalization. Develop applications based on given scenarios and enhance them according to business needs.
Sample question from this domain above: Q5
Common questions about the exam itself
