Free Qlik QSBA2024 Practice Exam with Questions & Answers | Set: 2

The best solution for minimizing navigation clicks, maximizing screen real estate, and ensuring fast response times is to use acontainer 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 acontainer objectto host the required visualizations is the best solution, makingCthe verified answer.

The best approach to allow users to frequently adjust the profit threshold in the visualization is to use avariablecontrolled by avariable 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 avariablefor the threshold and controlling it with avariable slideris the best solution, makingCthe correct answer.

In Qlik Sense,default bookmarksallow 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,Dis the best solution for applying default selections, making it the correct answer.

TheDensityvalue 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 theDensityvalue 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,Ais the correct answer because the density value provides the required insight into the level of nulls in each field.

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 Costare 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 includeCY 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,Aprovides the correct set of fields for the required dashboard, making it the verified answer.