QlikView QSBA2024 Online Practice Questions and Exam Preparation

QlikView QSBA2024 Online Questions & Answers

• Question 21:

  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:

  1. Each Group should have a separate sheet

  2. The Sales Account can only see its own customers

  3. 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?

  A. Use the Sales Account ID as a filter on the show/hide condition on the relevant sheet
  B. Use the Group as a filter on the show/hide condition on the relevant sheet
  C. Use the Group field within the Section Access table, then apply it to the show/hide condition of the sheets
  D. Use the OSUser()function within the show/hide condition of the sheets to set the required visibility
  C. Use the Group field within the Section Access table, then apply it to the show/hide condition of the sheets

  ---

  Explanation

  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, is the most appropriate solution because it uses the Group field within Section Access to control sheet C visibility, making it the correct answer.

• Question 22:

  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

  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 23:

  A clothing manufacturer has operations throughout Europe and needs to manage access to the data.

  There is data for the following countries under the field SACOUNTRY -> France, Spain, United Kingdom and Germany. The application has been designed with Section Access to manage the data displayed.

  

  What is the expected outcome of this Section Access table?

  A. USER1 sees data for France and Spain, USER2 sees data for the UK. ADMIN sees data for France, Spain, Germany and United Kingdom
  B. USER1 does not see data for France and Spain. USER2 does not see data for the United Kingdom. ADMIN sees data for all countries.
  C. USER1 does not see data for France and Spain, USER2 does not see data for United Kingdom. ADMIN can not open the application
  D. USER1 sees data for France and Spain, USER2 sees data for the UK. ADMIN sees data for France, Spain and United Kingdom
  A. USER1 sees data for France and Spain, USER2 sees data for the UK. ADMIN sees data for France, Spain, Germany and United Kingdom

  ---

  Explanation

  In this Section Access script, the roles and access to data for different users are defined based on the SACOUNTRY field. Here's how the data access will work:

  ADMIN: The ADMIN user has access to all data because the * in the SACOUNTRY field allows full access to all countries in the dataset.

  USER1: This user has access to Spain and France because the SACOUNTRY field specifies these countries for USER1. USER2: This user has access to United Kingdom because the SACOUNTRY field specifies only the UK for USER2.

  Key Concepts:

  Section Access: This feature in Qlik Sense controls which data users can see based on their login credentials. The access rights are controlled through fields like ACCESS USERID , , and SACOUNTRY in this case.

  Why the Other Options Are Less Suitable:

  B and C: These suggest that users won't see data they have access to, which contradicts the defined Section Access script.

  D: This incorrectly assumes that ADMIN cannot see Germany, which is not defined in the script.

  References for Qlik Sense Business Analyst:

  Section Access Best Practices: In Qlik Sense, Section Access tables define the data that users can see, and the use of * for the ADMIN role ensures access to all data.

  Thus, is the correct answer because it matches the expected data access behavior based on the script, making A it the verified answer.

• Question 24:

  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

  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 25:

  A business analyst is creating a new app with sales data. The visualizations must meet several requirements:

  A Bar chart that shows sales by product group is used in multiple sheets

  1. A KPI object that visualizes that the total amount of sales is used once

  2. A Treemap that shows margin by product group is used one time inside a Container

  Which visualization should be added to the master items library?

  A. Container
  B. KPI
  C. Bar chart
  D. Treemap
  C. Bar chart

  ---

  Explanation

  The Bar chart is used multiple times across various sheets, which makes it a good candidate to be added to the Master Items library . Master items are reusable components that can be added to multiple visualizations across different sheets

  without needing to recreate them. Since the bar chart will be reused multiple times, adding it to the Master Items ensures consistency and reusability.

  Key Concepts:

  Master Items: These are predefined dimensions, measures, or visualizations that can be reused across multiple sheets in an app, ensuring consistency and reducing development time.

  Why the Other Options Are Less Suitable:

  A. Container: The container is only used once in this scenario, so it doesn't need to be a master item.

  B. KPI: The KPI is only used once, so it does not require master item status.

  D. Treemap: The treemap is only used once in a container, so it doesn't need to be a master item.

  References for Qlik Sense Business Analyst:

  Master Items for Reusability: Qlik Sense recommends adding frequently used charts or dimensions to the master items for easy reuse and consistency.

  Thus, the bar chart is the best choice for adding to the master items, making the correct answer. C

• Question 26:

  A dashboard developer finishes creating a supply chain analysis app and is presenting it to leadership for review. The landing page shows four visualizations including:

  1. Bar chart showing available supply by product category

  2. Line chart showing total cost of deliveries to the warehouse by month-year ?Scatter plot showing cost of delivery and time-to-deliver by product

  3. A map that shows the volume of delivery from suppliers to warehouses using a line layer

  Leadership asks the developer how they can see the total cost of delivery overall. How can the analyst 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
  B. Create a KPI object that shows the total cost of delivery

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  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). It's not ideal for displaying aggregate values like total cost.

  Key Qlik Sense Business Analyst

  References:

  KPI objectsare 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 developmentemphasize 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 27:

  A business analyst created a visualization that has a color indicator when an order is below a certain fixed profit threshold. This visualization now needs to change so that the threshold can be defined by the user. The user base is approximately 1000 heavy Excel users. These thresholds will be defined by each user somewhat frequently, although the data changes only once per day.

  Which action should the business analyst take to update this visualization?

  A. Add a threshold field and provide a filter pane for that field for users to select
  B. Allow users to define their threshold in a shared spreadsheet and increase the app reload frequency to every hour
  C. Introduce a variable for the threshold that is controlled by a variable slider
  D. Create threshold values in the data manager using the Bucket function
  C. Introduce a variable for the threshold that is controlled by a variable slider

  ---

  Explanation

  The best approach to allow users to frequently adjust the profit threshold in the visualization is to use a variable controlled by a variable slider . This method allows each user to adjust the threshold value independently without requiring any

  changes to the data model or the visualization itself. Given that the user base consists of heavy Excel users, using a slider provides a familiar and intuitive way to interact with the threshold.

  Key Concepts:

  Variables and Sliders: Variables can be used to store threshold values, and sliders provide an easy way for users to adjust those variables interactively.

  User Interaction: A variable slider is a user-friendly option for adjusting thresholds frequently, especially for users who are accustomed to working with data interactively.

  Why the Other Options Are Less Suitable:

  A. Threshold field with a filter pane: This option is less flexible and doesn't allow the same dynamic interaction as a variable and slider.

  B. Shared spreadsheet and frequent app reloads: This approach is inefficient and would increase the load on the system unnecessarily. It is also less user-friendly for frequent threshold adjustments.

  D. Bucket function: The Bucket function is not appropriate for this case, as it creates static groupings, which would not allow the user to adjust the threshold dynamically.

  References for Qlik Sense Business Analyst: Interactive Thresholds with Variables: Qlik Sense's variables and slider objects provide the best mechanism for dynamically controlling thresholds in a visualization. Thus, introducing a variable for the threshold and controlling it with a variable slider is the best solution, making the correct answer. C

• Question 28:

  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?

  A. Advanced Authoring
  B. Story and Bookmarks
  C. Insights Advisor Chat
  D. Associative Engine
  C. Insights Advisor Chat

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  Explanation

  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 AuthoringAdvanced 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 BookmarksStorytelling 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 ChatInsights Advisor Chatis 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 EngineThe 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 Chatis 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 .

• Question 29:

  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

  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 30:

  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:

  1. The dashboard must display support cases in categories based on the age (New, Aging, and Beyond Service Level Agreement)

  2. The categories will be used multiple times in the dashboard

  3. 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?

  A. Ask the ServiceNow team to create the field in the source dataset
  B. Create an Excel sheet with all possible age values and the corresponding categories to add to the data model
  C. Create a new field for the categories using the Bucket option in the Data manager
  D. Write a master dimension with a nested IF statement to group ages together
  C. Create a new field for the categories using the Bucket option in the Data manager

  ---

  Explanation

  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 the C correct answer.