QlikView QSBA2024 Online Practice Questions and Exam Preparation

QlikView QSBA2024 Online Questions & Answers

• Question 1:

  A marketing team needs to display sales for a limited number of products by providing a bar chart that the user can control. The visualization has several requirements:

  1. Starts with the top five products

  2. Allows the user to change the number of products displayed

  3. Allows the user to scroll through all products on a mini chart

  The business analyst creates a bar chat and a variable.

  Which steps should the business analyst complete next?

  A. 1. Add the slider object and use the variable to set its value 2. Set the number of bars to custom and use the variable to set its value
  B. 1. Use the variable to fix the limitation 2. Add an input box to enable the user to enter the required value
  C. 1. Use the variable to fix the limitation 2. Add a slider object and use the variable to set its value
  D. 1. Add the slider object and use the variable to set its value 2. Use the properties to set the number of bars to custom
  A. 1. Add the slider object and use the variable to set its value 2. Set the number of bars to custom and use the variable to set its value

  ---

  explanation:

  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 wouldn't 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 the verified answer. A

• Question 2:

  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:

  1. Users only review the data for the past 2 years

  2. Data must be updated daily

  3. Users should not view cardholder info

  Which steps should the business analyst complete to improve the app performance?

  A. 1. Delete Cardholder and time fields in Data manager 2. Use a bookmark based on auto-calendar fields 3. Use the reload function in the sheet Editor asset panel
  B. 1. Delete Cardholder and time fields in Data manager 2. Use set analysis to show data based on transaction year 3. Use an API to perform a daily reload task
  C. 1. Deselect Cardholder and time fields in Data manager 2. Use a filter pane based on auto-calendar fields 3. Perform a daily reload via the Data manager
  D. 1. Deselect Cardholder and time fields in Data manager 2. Apply a filter to extract data based on transaction year 3. Request a daily reload task from the system admin
  D. 1. Deselect Cardholder and time fields in Data manager 2. Apply a filter to extract data based on transaction year 3. Request a daily reload task from the system admin

  ---

  explanation:

  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. Bydeselecting 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, is the correct solution, making it the verified answer. D

• Question 3:

  Two customers in an organization want to use an app that contains a finance data set. With different analysis objectives, each customer will only use a subset of that data. Which procedure should the business analyst follow?

  A. Apply Section Access to manage the data for each customer
  B. Create multiple visualizations using set analysis
  C. Duplicate and rename the apps for each customer
  D. Unpivot, then re-associate the data tables for each customer
  B. Create multiple visualizations using set analysis

  ---

  explanation:

  Explanation

  In Qlik Sense, Set Analysis is one of the most powerful tools available to a Business Analyst for managing different subsets of data within the same app. Since both customers are working with the same finance dataset but have different

  objectives, creating multiple visualizations using set analysis allows the analyst to tailor the data views for each customer without duplicating the app or creating complex data models.

  Key Concepts:

  Set Analysis: This feature enables the creation of expressions that define subsets of data, allowing you to filter data within specific visualizations. This is ideal when multiple users need different insights from the same underlying dataset.

  Flexibility: Using set analysis, you can specify conditions within individual visualizations so that each user can focus on their own segment of the data without impacting others.

  Efficiency: This method avoids redundancy by ensuring you only need one app and one data model, instead of duplicating and maintaining multiple apps or applying complex logic such as Section Access.

  Why the Other Options Are Less Suitable:

  A. Apply Section Access: While Section Access is useful for managing security and limiting what users can see in the entire dataset, it is primarily designed to restrict data access based on user roles. In this case, both users need access to the same dataset but will conduct different analyses. Section Access would be an overly restrictive and complex solution for this scenario.

  C. Duplicate and rename the apps: This is inefficient because it leads to redundancy and makes maintenance harder (e.g., any changes to the dataset or visualizations would need to be applied to both apps). It also increases the risk of inconsistencies across versions of the app.

  D. Unpivot and re-associate the data tables: This option is not relevant to the problem, as unpivoting is more appropriate for transforming datasets rather than tailoring views for different users within the same app. It does not address the need for customer-specific analysis objectives.

  References for Qlik Sense Business Analyst:

  Set Analysis: In the Qlik Sense Business Analyst's toolkit, Set Analysis is covered as a method to manage diverse data subsets within single apps, providing the flexibility needed in multi-user environments without duplicating content.

  Efficient Application Design: Best practices suggest maintaining a single app where possible to ensure consistency and ease of maintenance, which aligns with the approach of using Set Analysis.

  By using Set Analysis, you provide both customers with tailored data views that are easily managed and updated within a single app. This is why option B is the most effective and verified solution.

• Question 4:

  A customer needs to distribute sales data to a variety of teams. The internal analyst team requires a global view of data. The sales team requires mobile device access.

  Which solution will meet the needs of both teams?

  A. One app with a specific extension for mobile users
  B. Two apps: one designed for mobile and one for internal use
  C. A mashup with various objects
  D. One app with various objects
  B. Two apps: one designed for mobile and one for internal use

  ---

  explanation:

  Explanation

  To meet the needs of both the internal analyst team and the sales team, the best solution is to createtwo separate apps : one designed specifically for mobile use and another for internal use. Mobile devices require different UI considerations,

  such as simpler, touch-optimized layouts, while the internal team can benefit from a more detailed app optimized for desktop use. Designing separate apps ensures that both teams have a tailored experience that suits their specific devices

  and use cases.

  Key Concepts:

  Mobile Optimization: Mobile devices require apps that are streamlined and optimized for smaller screens, while internal users on desktop computers can handle more complex layouts and detailed reports.

  Separate Apps: Creating separate apps ensures that each team gets the best user experience tailored to their needs.

  Why the Other Options Are Less Suitable:

  A. One app with a specific extension for mobile users: While extensions can provide some mobile functionality, they don't offer the flexibility and optimization needed for a fully mobile-friendly experience.

  C. A mashup with various objects: A mashup may provide flexibility, but it could be overly complex for this requirement and wouldn't necessarily offer an optimal mobile experience.

  D. One app with various objects: This could complicate the user experience for both teams, as mobile users may struggle with objects that are not optimized for their devices.

  References for Qlik Sense Business Analyst:

  Mobile vs. Desktop App Design: Qlik Sense recommends optimizing apps for specific devices to ensure the best user experience for both desktop and mobile users.

  Thus, is the correct answer because it provides the best solution for both the mobile sales team and the B internal analyst team, making it the verified answer.

• Question 5:

  Refer to the exhibit.

  

  A movie analyst is using an app to gain insights into films created in the early 20th century. The analyst reviews the filter for Length Range, notices a hyphen "-", and selects it.

  What can the analyst determine from the resulting filter panes?

  A. Six movies in the source data contain illegal characters for the Length Range field.
  B. Movies at the start of the 20th century often varied in length.
  C. All movies from the 1920s or 1930s contain no data for Length Range.
  D. The source data for six movies is missing a Length Range.
  D. The source data for six movies is missing a Length Range.

  ---

  explanation:

  Explanation

  In the provided exhibit, the movie analyst filters by the Length Range field and notices a hyphen ("-"), which typically indicates missing data in Qlik Sense. When the analyst selects this hyphen, it filters out the rows where no data exists for the Length Range field.

  Let's review the options:

  A. Six movies in the source data contain illegal characters for the Length Range field.This statement is incorrect. The hyphen ("-") is not an indicator of illegal characters. In Qlik Sense, it usually represents null values or missing data , not improperly formatted data.

  B. Movies at the start of the 20th century often varied in length.This answer is not relevant to the specific observation of the hyphen in the Length Range field. The hyphen does not provide insights into the variation of movie lengths; it indicates missing data.

  C. All movies from the 1920s or 1930s contain no data for Length Range.While the screenshot shows some movies from different decades, we cannot definitivelyconclude that all movies from a particular era are missing the Length Range data. The hyphen indicates that some movies across various years are missing data, but this does not apply to all movies from the 1920s or 1930s.

  D. The source data for six movies is missing a Length Range.This is the correct interpretation. The hyphen in the Length Range column indicates that these six movies lack data for this field. Selecting the hyphen allows the analyst to identify movies with missing values in the Length Range field.

  Key Qlik Sense Business Analyst

  References:

  Hyphen ("-") in Qlik Sensetypically represents null or missing values in a field.

  Filter panesin Qlik Sense allow users to quickly see where data may be incomplete or missing, and selecting these null values provides immediate insight into which records are affected.

  Thus, the correct determination is that the source data for six movies is missing a Length Range .

• Question 6:

  The sales manager is investigating the relationship between Sales and Margin to determine if this relationship is linear when choosing the dimension Customer or Product Category.

  The sales manager wants to have the potential percentage Sales for each Stage (Initial to Won) of the sales process.

  Which visualizations will meet these requirements?

  A. Scatter plot: Measures X-axis Sales and Y-axis Margin, Dimensions Customer or Product category Bar chart: Dimension Stage, Measure Sales
  B. Scatter plot: Measures X-axis Sales and Y-axis Margin, Alternative dimensions Customer or Product category Funnel chart: Segments Stage, Width Sales
  C. Combo chart: Measures Sales and Margin, Dimensions Customer or Product category Pie chart: Dimension Stage, Measure Sales
  D. Distribution plot: Alternative measures Sales and Margin, Alternatives dimensions Customer or Product category Bar chart: Dimension Stage, Measure Sales
  B. Scatter plot: Measures X-axis Sales and Y-axis Margin, Alternative dimensions Customer or Product category Funnel chart: Segments Stage, Width Sales

  ---

  explanation:

  Explanation

  For analyzing the relationship between Sales and Margin, a scatter plot is ideal, as it allows you to visualize the relationship between two measures (Sales and Margin) across various dimensions such as Customer or Product Category. The

  funnel chart is perfect for visualizing stages in a sales process, as it shows how sales progress from the initial stage to the final (Won) stage, with the width of each segment representing the total sales for each stage.

  Key Concepts:

  Scatter Plot: This type of chart is specifically designed to visualize the correlation or relationship between two measures, making it ideal for analyzing Sales versus Margin across different dimensions.

  Funnel Chart: This chart is particularly suited for visualizing the sales stages, as it visually demonstrates the proportion of sales moving through each stage of the sales funnel.

  Why the Other Options Are Less Suitable:

  A. Scatter plot and Bar chart: While a scatter plot is correct for analyzing Sales and Margin, a bar chart won't adequately represent the different stages of the sales process as effectively as a funnel chart.

  C. Combo chart and Pie chart: A combo chart could potentially work, but it would not show the relationship between Sales and Margin as clearly as a scatter plot. A pie chart is also less effective for representing stages in a sales funnel.

  D. Distribution plot and Bar chart: A distribution plot does not effectively show the relationship between two measures, and a bar chart isn't the best choice for visualizing the stages of a sales process.

  References for Qlik Sense Business Analyst:

  Scatter Plot for Relationships: This chart type is highly recommended when exploring relationships between two continuous variables, such as Sales and Margin.

  Funnel Charts: These are ideal for visualizing how data moves through various stages of a process, such as sales stages, from initial engagement to final sale.

  Therefore, the combination of a scatter plot and a funnel chart provides the best solution, making the correct B answer.

• Question 7:

  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?

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

  ---

  explanation:

  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 8:

  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?

  A. Use Section Access to predefine the default selections
  B. Create a mashup and use the API to apply default selections
  C. Use a sheet action and apply a bookmark named 'Default
  D. Create bookmark and set it as default bookmark
  D. Create bookmark and set it as default bookmark

  ---

  explanation:

  Explanation

  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, is the best solution for applying default selections, making it the correct answer. D

• Question 9:

  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
  A. Storytelling

  ---

  explanation:

  Explanation

  Storytellingin 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 don't 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 the correct answer. A

• 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 to this app.

  The business analyst must include the following:

  1. Ability to dynamically change the number of countries and cities

  2. Display a maximum of 10 countries

  3. Display a maximum of 5 cities per country

  Which steps should the business analyst take?

  A. 1. Create two variables: vCountry and vCity 2. Add a slider for vCountry and vCity max limit range 3. Apply the variable to each visualization
  B. 1. Add an input field for vCountry and vCity 2. Set the dimension limitation to the required maximum values: 5 and 10 3. Apply the variable to each visualization 4. Add a bookmark Country and City
  C. 1. Add an input field for vCountry and vCity 2. Set the dimension limitation to the required maximum values: 5 and 10 3. Apply the variable to each visualization
  D. 1. Create two variables: vCountry and vCity 2. Add a slider for vCountry and vCity 3. Apply the variable to each visualization 4. Set a sheet action that limits the data displayed
  A. 1. Create two variables: vCountry and vCity 2. Add a slider for vCountry and vCity max limit range 3. Apply the variable to each visualization

  ---

  explanation:

  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 the correct answer. A