QlikView QSBA2024 Online Practice Questions and Exam Preparation

QlikView QSBA2024 Online Questions & Answers

• Question 1:

  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

  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 2:

  A business analyst designs a visualization to analyze a count of products by fixed price ranges. The customer now wants the price ranges to be dynamically modified so they are configurable by the application users. The business analyst modified the dimension axis on the visualization.

  Which step should the business analyst complete next?

  A. Define a variable and use it in a variable input object on the sheet
  B. Create a calculated field in Data manager, using the Class() function
  C. Load an independent source file to contain the user-defined boundary values
  D. Create the price range dimension using the Buckets feature in Data manager
  A. Define a variable and use it in a variable input object on the sheet

  ---

  Explanation

  To make the price ranges dynamically adjustable by the application users, a variable input object is the best approach. The business analyst can define a variable that stores the range value, which users can modify directly through a variable

  input control. This method allows users to change the price ranges interactively, giving them control over the ranges used in the analysis.

  Key Concepts:

  Variable Input Object: This object allows users to interact with and modify the values of predefined variables directly within a Qlik Sense sheet, which can then be used to adjust calculations dynamically, such as defining custom ranges.

  Configurable by Users: This approach gives end-users the flexibility to modify the visualization based on their specific needs without requiring backend changes or reloading the app.

  Why the Other Options Are Less Suitable:

  B. Create a calculated field in Data manager, using the Class() function: The Class() function is useful for creating static price ranges, but it does not allow for user interaction or dynamic updates to the ranges.

  C. Load an independent source file to contain the user-defined boundary values: While this could provide configurable ranges, it's unnecessarily complex and would require more management, and it's not as user-friendly as using a variable.

  D. Create the price range dimension using the Buckets feature in Data manager: Similar to the Class() function, this would create static groupings, which wouldn't be dynamically adjustable by the user.

  References for Qlik Sense Business Analyst:

  Dynamic Controls with Variables: Qlik Sense provides the ability to create variable input objects that allow users to control how visualizations behave dynamically. This feature is highlighted in Qlik Sense' s Business Analyst best practices

  when making interactive applications.

  By using a variable and a variable input object, the business analyst enables user interactivity and customization, making the correct choice. A

• Question 3:

  A business analyst is creating an app for the sales team. The app must meet several requirements:

  1. Compare 10 top-performing sales representatives and the amount of sales for each

  2. Investigate margin percentage and total sales by each product category

  3. View distribution of sales amount

  Which visualizations should be used for this app?

  A. A bar chart, scatter plot, and histogram
  B. A treemap, container, and distribution plot
  C. A bar chart, line chart, and scatter plot
  D. A treemap, box plot, and histogram
  A. A bar chart, scatter plot, and histogram

  ---

  Explanation

  For this scenario, using a bar chart scatter plot , , and histogram provides the best coverage of the requirements. The bar chart is ideal for comparing the sales performance of the top 10 sales representatives. The scatter plot is used to

  analyze the relationship between margin percentage and total sales by product category. The histogram is excellent for visualizing the distribution of sales amounts.

  Key Concepts:

  Bar Chart: Perfect for comparing categorical data, such as sales amounts across different sales representatives.

  Scatter Plot: Ideal for exploring relationships between two variables, such as margin percentage and total sales.

  Histogram: Provides a clear visualization of the distribution of a continuous variable, such as sales amounts.

  Why the Other Options Are Less Suitable:

  B. Treemap, Container, and Distribution plot: A treemap is less effective for comparing individual sales reps, and a container does not provide a clear visualization on its own.

  C. Bar chart, Line chart, and Scatter plot: A line chart is not needed in this case, as it is best for showing trends over time, which is not required here.

  D. Treemap, Box plot, and Histogram: A box plot is more suited for showing statistical distributions (e.g., quartiles), which is unnecessary in this case.

  References for Qlik Sense Business Analyst:

  Data Exploration: Bar charts, scatter plots, and histograms are among the most commonly recommended visualizations for comparing performance, analyzing relationships, and viewing distributions in Qlik Sense.

  Thus, the combination of a bar chart scatter plot , , and histogram offers the most comprehensive solution, making the correct answer. A

• Question 4:

  A business analyst from the APAC region is creating a single KPI object for that region.

  The analyst must meet the following requirements:

  1. The KPI should show a total of sales

  2. The business wants to compare current year (CY) vs last year (LY) sales

  3. The KPI should not change if the user makes selections

  Which measure(s) will allow the KPI object to fulfill this requirement?

  

  A. Option A
  B. Option B
  C. Option C
  D. Option D
  A. Option A

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  Explanation

  For the KPI object that meets the requirements of comparing Current Year (CY) sales against Last Year (LY) sales, while ensuring the KPI remains static regardless of selections, we need to leverage Set Analysis with the 1 identifier. This

  ensures the KPI ignores any selections made by the user.

  Option uses the correct structure of Set Analysis that compares CY sales to LY sales within the A APAC region, and the 1 set identifier ensures the KPI does not change based on selections. The logic is structured as follows:

  Sum({1 } Sales)computes the sales for the APAC region for the current year (CY).

  Sum({1 } Sales)computes the sales for the APAC region for the previous year (LY).

  This expression will ensure that the comparison of sales between CY and LY is made, without being affected by user selections.

  Key Concepts:

  Set Analysis with 1: The 1 set identifier ensures that selections made by users do not affect the result, making the KPI static.

  Comparison of CY vs. LY: The use of $(=max(year)) and $(=max(year)-1) ensures that the current and previous years are dynamically compared.

  Why the Other Options Are Less Suitable:

  B, C, and D: While these options use a similar structure, they do not correctly handle the measure structure or have syntactical issues. Only Option properly utilizes the 1 set identifier and dynamic year A comparison for the APAC region.

  References for Qlik Sense Business Analyst:

  Set Analysis for Static KPIs: Using the 1 set identifier in Qlik Sense ensures that a KPI remains static and unaffected by user selections, which is essential for business requirements like this.

  Thus, is the correct choice because it correctly computes the required static KPI for the APAC region, A making it the verified answer.

• Question 5:

  A business analyst receives an image of a dashboard from the HR Director and is asked to recreate the image in Qlik Sense. The image shows charts for:

  1. Company employee structure

  2. Average employee salary by region

  3. Geographical representation of office capacity

  4. Company retention over time

  Which charts will meet these analysis requirements?

  A. Line chart, sankey chart, map chart, bar chart
  B. Line chart, network chart, bar chart, map chart
  C. Map chart, grid chart, line chart, KPI chart
  D. Map chart, org chart, line chart, bar chart
  D. Map chart, org chart, line chart, bar chart

  ---

  Explanation

  To recreate the dashboard image provided by the HR Director, the following charts are needed:

  Map chart: To show the geographical representation of office capacity.

  Org chart: To show the company employee structure.

  Line chart: To show company retention over time.

  Bar chart: To show average employee salary by region.

  Key Concepts:

  Map Chart: Used to visualize geographical data, such as office capacity across different locations.

  Org Chart: Ideal for displaying hierarchical structures, such as the employee structure of a company.

  Line Chart: Best suited for showing trends over time, such as employee retention.

  Bar Chart: A good choice for comparing salaries across regions.

  Why the Other Options Are Less Suitable:

  A. Sankey chart: This chart is used for flow or process analysis, not employee structure.

  B. Network chart: Network charts show relationships but are not ideal for hierarchical structures like an org chart.

  C. Grid chart and KPI chart: These charts are not well-suited for the types of data required in this scenario.

  References for Qlik Sense Business Analyst:

  Chart Selection for HR Dashboards: Qlik Sense provides various visualization options, and selecting the correct chart for each type of data is essential for accurate and clear representation.

  Thus, the correct combination of charts is --Map chart, org chart, line chart, and bar chart--making it the D verified answer.

• Question 6:

  A business analyst needs to create two side-by-side charts for a sales department with the following data:

  1. Number of orders

  2. Name of the customer

  3. Percentage of margin

  4. Total sales

  The charts use a common dimension, but each chart has different measures. The analyst needs to create a color association between the two charts on the dimension values.

  Which action should the business analyst take?

  A. Use nested IF statements to set the colors by expression for each dimension value
  B. Define the color values in the master measures and use the color library
  C. Select 'By Dimension' and 'Persistent colors' in the Colors property panel
  D. Use the Fieldlndex function to set the colors by expression for each dimension value
  C. Select 'By Dimension' and 'Persistent colors' in the Colors property panel

  ---

  Explanation

  In Qlik Sense, the 'By Dimension' and 'Persistent colors' options in the Colors property panel ensure that the same dimension values have the same color across multiple charts. This is especially useful when you have two or more side-byside charts sharing a common dimension, like customer names in this case. Persistent colors guarantee consistency in color assignment, helping users visually track the same dimension across different visualizations.

  Key Concepts:

  By Dimension: This option ensures that each unique value of a dimension (e.g., customer name) gets a distinct color across all charts that use this setting.

  Persistent Colors: This feature ensures that the colors remain the same between charts, making the visual comparison across charts easier for the users.

  Why the Other Options Are Less Suitable:

  A. Use nested IF statements to set the colors by expression for each dimension value: While this would work, it would be unnecessarily complex to maintain and manage, especially with many dimension values.

  B. Define the color values in the master measures and use the color library: This would only apply if the goal was to set colors based on measures, not dimensions. In this case, dimension consistency is required, not measure-based coloring.

  D. Use the FieldIndex function to set the colors by expression for each dimension value: This would involve writing complex expressions that would not be as straightforward as using the built-in functionality of 'By Dimension' and 'Persistent colors'.

  References for Qlik Sense Business Analyst:

  Color Consistency Across Charts: The 'By Dimension' and 'Persistent colors' settings are recommended in Qlik Sense documentation when creating multi-chart layouts with shared dimensions, ensuring visual coherence across different

  charts.

  The Persistent colors and By Dimension settings offer a straightforward and maintainable way to create color associations across charts, making option the verified solution. C

• Question 7:

  A business analyst is working with retail data for consumer products. The customer is interested in the following:

  1. Ability to look for outliers on sales volume and margin %

  2. Ability to understand the clustering of products visually

  3. Ability to see products that are above the median sales volume

  Which action should the business analyst take to implement these requirements?

  A. Create a pivot table and color the sales volume cell using K-Means function and median sales volume as an additional column
  B. Create a treemap visualization showing sales volume and margin% by product with the median sales volume in the title
  C. Create a combo chart with K-Means colors for the bar and a line measure representing median sales volume
  D. Create a scatter plot using K-Means to color the products and add a median sales volume reference line
  D. Create a scatter plot using K-Means to color the products and add a median sales volume reference line

  ---

  Explanation

  A scatter plot is the best choice for visualizing outliers, clustering, and products that are above the median sales volume. Scatter plots are excellent for showing relationships between two variables (like sales volume and margin %) while

  providing the ability to highlight outliers. By using K-Means clustering to color the products, the business analyst can visually group similar products. Additionally, adding amedian sales volume reference line makes it easy to identify which

  products are above or below the median.

  Key Concepts:

  Scatter Plot: This visualization is ideal for detecting outliers and understanding the distribution and clustering of data points.

  K-Means Clustering: This technique groups similar data points (products) based on their values, which helps to identify patterns visually.

  Median Reference Line: Adding a reference line for median sales volume ensures that the analyst can easily see which products are performing above or below the median.

  Why the Other Options Are Less Suitable:

  A. Pivot table: While a pivot table could show aggregated data, it is not as effective for visualizing outliers or clustering as a scatter plot.

  B. Treemap: A treemap can show hierarchical relationships but is not as effective for identifying clusters or outliers.

  C. Combo chart: A combo chart is not as well-suited for visualizing clustering and outliers as a scatter plot.

  References for Qlik Sense Business Analyst:

  Outliers and Clustering Visualization: Qlik Sense recommends scatter plots for visualizing relationships between two measures and for detecting outliers and clustering in the data.

  Thus, creating a scatter plot with K-Means clustering and a median sales volume reference line is the best approach, making the verified answer. D

• Question 8:

  A business analyst is creating a data model from several Excel files that contain several hundred thousand rows of data. The requirements include:

  1. Users need to drill down to various details within the available data set.

  2. Several final measures will be repeatedly used. These final measures require combining several fields in a single table.

  3. User experience and load time is a high priority.

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

  A. Aggregate the data to the source period
  B. Develop a master item using the required source fields
  C. Combine the various source fields in a calculated item in the Data manager
  D. Combine the source fields and create additional fields in Excel
  B. Develop a master item using the required source fields

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  Explanation

  In Qlik Sense, creating Master Items allows business analysts to define fields, dimensions, and measures that are used consistently across the app. This is particularly important for measures that will be used repeatedly. By defining these as

  master items, you ensure that all calculations are consistent and optimized for user experience and performance. This approach also supports drill-down capabilities while ensuring a responsive user experience.

  Key Concepts:

  Master Items: Master Items are reusable definitions for dimensions, measures, and visualizations. When you create a measure as a Master Item, it becomes available for use across different visualizations, ensuring consistency and reducing

  duplication of effort.

  User Experience and Load Time: Using Master Items optimizes performance, as Qlik Sense caches the results of these items, reducing the need for recalculating complex measures each time they are used.

  Why the Other Options Are Less Suitable:

  A. Aggregate the data to the source period: While aggregation could reduce the data volume, it would limit the ability to drill down to the detailed levels required by the users.

  C. Combine the various source fields in a calculated item in the Data manager: While you could create calculated fields, this method would be less efficient than defining measures in the Master Items library. Calculations done outside Master Items would need to be manually repeated in each visualization, leading to inconsistencies.

  D. Combine the source fields and create additional fields in Excel: This would not optimize user experience or load time, as it relies on modifying source data outside of Qlik Sense and could lead to unnecessary data duplication and inefficiencies.

  References for Qlik Sense Business Analyst:

  Master Items Best Practices: Qlik Sense promotes the use of Master Items for consistent measure definition and reuse, as they improve performance and ensure consistency across multiple visualizations.

  By creating a Master Item, the business analyst ensures a streamlined and efficient user experience, makingB the best and verified option for this scenario.

• Question 9:

  A banking organization needs a dashboard that shows the following:

  1. A KPI indicator for current year (CY) versus last year (LY) revenue

  2. A scatter plot that shows the cost versus revenue of product categories

  3. A treemap that shows average customer satisfaction rating based on regions

  4. A table that shows CY cost by record number, financial instrument, and bank

  In addition to the customer satisfaction rating, which fields should be used to create the required measures?

  A. CY Revenue, LY Revenue, CY Cost
  B. CY Revenue, LY Revenue, Cost
  C. Revenue and Cost
  D. Revenue and CY Cost
  A. CY Revenue, LY Revenue, CY Cost

  ---

  Explanation

  The banking dashboard requires several KPIs and visualizations based on current year (CY) and last year (LY) revenue, as well as cost and customer satisfaction. To build the required measures, the fieldsCY Revenue, LY Revenue, and CY

  Cost are necessary because they provide the comparison between the current and previous year, as well as cost-related data for the specific calculations.

  Key Concepts:

  KPI for CY vs LY Revenue: This requires both CY Revenue and LY Revenue fields.

  Scatter Plot for Cost vs Revenue: This comparison requires both CY Revenue and CY Cost to create the necessary relationship in the scatter plot.

  Treemap for Customer Satisfaction: In addition to the customer satisfaction rating, the field CY Revenue would likely be used for additional insights by region.

  Table with CY Cost: The table requires CY Cost data along with other relevant fields like record number, financial instrument, and bank.

  Why the Other Options Are Less Suitable:

  B. CY Revenue, LY Revenue, Cost: While this covers the revenue fields, it does not specifically include CY Cost , which is needed for the table and scatter plot.

  C. Revenue and Cost: This option is too general and does not distinguish between current year and last year revenue, which is essential for the KPI.

  D. Revenue and CY Cost: This does not include LY Revenue, which is required for the KPI.

  References for Qlik Sense Business Analyst:

  Comparison Measures in Qlik Sense: In Qlik Sense, comparisons across time periods like CY and LY require specific fields to calculate accurate insights, and it's essential to ensure the appropriate fields are included for each visualization.

  Thus, provides the correct set of fields for the required dashboard, making it the verified answer. A

• Question 10:

  A data analyst is working on a new Qlik Sense application and realizes that some of the required data sources have already been used in previous applications. To streamline the data loading process and maintain consistency, the analyst decides to leverage existing data connections.

  What actions should the analyst take to utilize the pre-existing data connections in Qlik Sense?

  A. Copy the script from the old application and paste it into the new application's script editor
  B. Access the Data load editor and select the desired data connection from the list of available connections
  C. Export the data connection from the old application and import it into the new one
  D. Use a Qlik Sense extension to search and replicate data connections from other applications
  B. Access the Data load editor and select the desired data connection from the list of available connections

  ---

  Explanation

  In Qlik Sense, data connections are reusable objects that allow multiple apps to connect to the same data sources. To leverage existing connections, the business analyst should go to the Data Load Editor and select the desired connection

  from the list of available connections. This ensures that the analyst uses the same data sources, promoting consistency across apps.

  Key Concepts:

  Data Connections: Qlik Sense allows users to create and manage connections to external data sources. These connections can be reused across multiple applications.

  Data Load Editor: This is where existing data connections can be accessed and used in new applications, streamlining the data loading process.

  Why the Other Options Are Less Suitable:

  A. Copy the script from the old application and paste it into the new application's script editor:

  While this could work, it's not the most efficient method, as it doesn't reuse the existing data connection object, and it's prone to errors.

  C. Export the data connection from the old application and import it into the new one: Qlik Sense doesn't require exporting and importing data connections since they are already available globally for reuse across apps.

  D. Use a Qlik Sense extension to search and replicate data connections: This is unnecessary because Qlik Sense already allows direct access to existing data connections through the Data Load Editor.

  References for Qlik Sense Business Analyst:

  Reusing Data Connections: One of the key features of Qlik Sense is its ability to reuse data connections across apps, which helps maintain consistency and reduces the need for redundant setups.

  Thus, the correct approach is to access the Data Load Editor and select the pre-existing data connection, making the verified answer. B