QlikView QSBA2024 Online Practice Questions and Exam Preparation

QlikView QSBA2024 Online Questions & Answers

• Question 41:

  The CEO has requested a dashboard that tracks the company's performance. The main requirements for the dashboard:

  1. Minimal number of visualizations or objects

  2. Display multiple key measures

  3. Ability to easily navigate to other sheets

  Which features would meet the requirements?

  A. Multi KPI with master visualizations
  B. Dynamic text and image linked objects
  C. A bookmark to selected key measures
  D. A container with multiple visualizations
  A. Multi KPI with master visualizations

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  Explanation

  The Multi KPI object is designed to display multiple key measures in a compact and visually appealing format, making it ideal for a dashboard that requires a minimal number of visualizations but must present multiple key metrics. By using

  master visualizations , the business analyst ensures consistency and reusability across different sheets. This setup also allows for easy navigation through the app, as users can drill down into more detailed sheets when needed.

  Key Concepts:

  Multi KPI: This visualization allows multiple key performance indicators (KPIs) to be displayed in a single object, reducing the need for multiple charts or visualizations while ensuring that critical metrics are visible.

  Master Visualizations: These ensure that KPIs are consistent across the app and can be reused as needed, helping to maintain a clean and efficient dashboard.

  Why the Other Options Are Less Suitable:

  B. Dynamic text and image linked objects: This could work for navigation, but it wouldn't meet the requirement of displaying multiple key measures in a minimal number of visualizations.

  C. Bookmark: A bookmark is used to save a particular state of selections but isn't useful for showing multiple KPIs simultaneously.

  D. Container: While containers can hold multiple visualizations, the Multi KPI object is more suited to displaying multiple key measures in a compact space.

  References for Qlik Sense Business Analyst:

  Multi KPI for Compact Dashboards: Qlik Sense recommends using Multi KPI objects when there is a need to display multiple key metrics in a minimalistic format.

  Thus, is the best choice to meet the CEO's requirements, making it the correct answer. A

• Question 42:

  A business analyst is creating an app that contains a bar chart showing the top-selling product categories. 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
  A. Create a variable and variable input object and use variable in dimension limit field

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  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 usercan 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 it's 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 it's 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 tocreate a variable and variable input object, and use the variable in the dimension limit field .

• Question 43:

  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

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  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 44:

  The business analyst creates one table by concatenating and joining several source tables. This has resulted in a table of several thousand rows that may have several columns containing between 30% and 70% null values. The business analyst needs to understand the level of null values in each field of this table to determine if this is an issue.

  Which capability should the business analyst use?

  A. Select each field in the Data model viewer and use the Density value to determine the level of nulls
  B. Enable the Preview Panel in the Data model viewer and inspect the data table visually to determine the level of null values
  C. Look at the tags fields for any indication that $null is associated to this field
  D. Inspect each field in the Data model viewer and use the Subset ratio to determine the level of null values
  A. Select each field in the Data model viewer and use the Density value to determine the level of nulls

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  Explanation

  The Density value in the Data Model Viewer provides a measure of how "dense" or "sparse" a field is in terms of data completeness. A higher density value means fewer nulls, while a lower value indicates more nulls. By checking the density

  value for each field, the business analyst can determine the percentage of non-null values, which is critical for understanding data quality and completeness.

  Key Concepts:

  Density Value: This is a measure in Qlik Sense that indicates the proportion of non-null values in a field. A field with a high density is mostly populated, while a lower density indicates a high proportion of null values.

  Data Model Viewer: This tool allows analysts to inspect the structure and quality of data fields, including metrics such as density.

  Why the Other Options Are Less Suitable:

  B. Preview Panel: While the Preview Panel shows sample data, it does not provide a comprehensive measure of null values and is more suited for a quick glance rather than detailed analysis.

  C. Tags fields with $null: This would show if the field contains any nulls, but it wouldn't quantify the level of nulls.

  D. Subset Ratio: The subset ratio compares values across related tables, not null values within individual fields.

  References for Qlik Sense Business Analyst:

  Data Quality in Qlik Sense: Using the Density value is the best way to assess the proportion of null values in a field, making it ideal for the business analyst to understand the completeness of the data.

  Thus, is the correct answer because the density value provides the required insight into the level of nulls in A each field.

• Question 45:

  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

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  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 46:

  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

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  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

• Question 47:

  A business analyst is working with a customer to refine the end user experience. The customer has the following requirements:

  1. Ability to provide these charts to a specific user group

  2. Minimize the number of navigation clicks between charts

  3. Achieve fastest screen response time when switching between charts

  4. Maximize the chart size in terms of screen real estate

  Which action should the business analyst take to meet the requirements?

  A. Use Conditional show on all charts and overlay the charts in the same location
  B. Create a single sheet with every required chart on this single sheet
  C. Use a container object to host the required visualizations
  D. Create several sheets (one sheet per client) and use buttons to navigate between sheets
  C. Use a container object to host the required visualizations

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  Explanation

  The best solution for minimizing navigation clicks, maximizing screen real estate, and ensuring fast response times is to use a container object . A container object allows the business analyst to house multiple charts within a single

  visualization, making it easy for users to switch between them with minimal navigation. This also ensures that only one chart is rendered at a time, which improves screen response time.

  Key Concepts:

  Container Object: This feature allows multiple charts to be placed in one object, minimizing navigation clicks and maximizing screen real estate, as users can switch between charts within the same view.

  Fast Response Time: Since only one chart is visible at a time, rendering performance is optimized, ensuring fast responses when switching between visualizations.

  Why the Other Options Are Less Suitable:

  A. Conditional show: This could lead to performance issues, as multiple charts would be rendered simultaneously, slowing down response time.

  B. Single sheet with all charts: This would clutter the screen and reduce chart size, making it less optimal for user experience.

  D. Several sheets with buttons for navigation: This increases the number of navigation clicks, which contradicts the requirement of minimizing navigation.

  References for Qlik Sense Business Analyst:

  Container Object for Multiple Visualizations: Qlik Sense recommends container objects when you need to show multiple charts with minimal navigation and maximum screen real estate.

  Thus, using a container object to host the required visualizations is the best solution, making the verified C answer.

• Question 48:

  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

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  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 49:

  A business analyst is building an app to analyze virus outbreaks. They create a bar chart using a dimension of Continent, and a measure of Sum (Knowningsections). They require a secondary bar on the 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 the business 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
  D. Convert the bar chart to a combo chart and reconfigure the second measure to be a bar

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  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, it's 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 the D correct answer.

• Question 50:

  Refer to the exhibit.

  

  An app is being developed at a university to monitor student exam attempts- Three core tables are loaded into the app for Students, Exams, and Attempts. Students can attempt the same exam multiple times.

  Before building any visualizations, the business analyst needs to know:

  1. How many students are in the system

  2. What percentage of students have not yet attempted an exam

  Which metadata should the analyst focus on to answer these questions?

  A. Total distinct values and Subset ratio for the StudentID field in the Attempts table
  B. Non-null values and Subset ratio for the StudentID field in the Students table
  C. Subset ratio and Present distinct values for the ExamID field in the Attempts table
  D. Present distinct values and Density% for the ExamID field in the Exams table
  A. Total distinct values and Subset ratio for the StudentID field in the Attempts table

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  Explanation

  How many students are in the system?

  What percentage of students have not yet attempted an exam?

  The analyst needs to focus on the StudentID field, specifically in relation to the Attempts table. This is because the Attempts table captures all exam attempts made by students, and we can deduce which students have and have not made an

  attempt by examining the presence of StudentID values in this table.

  Key Concepts:

  Total Distinct Values: This provides the total number of unique students who have attempted exams. It helps identify how many students have made at least one attempt.

  Subset Ratio: This compares the values of StudentID between the Students table and the Attempts table. The subset ratio shows how many students in the Students table are represented in the Attempts table. This ratio helps determine the

  percentage of students who have not yet attempted any exams.

  Why the Other Options Are Less Suitable:

  B. Non-null values and Subset ratio for the StudentID field in the Students table: Thenon-null values in the Students table are not relevant to the question about exam attempts. The focus should be on whether the StudentID is present in the Attempts table.

  C. Subset ratio and Present distinct values for the ExamID field in the Attempts table: This focuses on exams, not students. The question specifically relates to how many students have attempted exams.

  D. Present distinct values and Density% for the ExamID field in the Exams table: This focuses on the number of exams and their density, which does not help in determining how many students have attempted or not attempted an exam.

  References for Qlik Sense Business Analyst: Subset Ratio and Distinct Counts: Qlik Sense's data model viewer provides valuable metadata like the distinct count of a field and its subset ratio when compared to related fields in othertables. This is particularly useful for understanding relationships and gaps in the data, such as identifying students who have not yet made an exam attempt. By focusing on the Total distinct values and Subset ratio for the StudentID field in the Attempts table, the business analyst can easily determine the total number of students and the percentage who have not yet attempted an exam, making the verified answer. A