Qlik QSBA2024 Qlik Sense Business Analyst Certification Exam - 2024 Exam Practice Test

Answer : A

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

Sum({1 <region={'apac'}, year={$(=max(year))}>} Sales) computes the sales for the APAC region for the current year (CY).

Sum({1 <region={'apac'}, year={$(=max(year)-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 A properly utilizes the 1 set identifier and dynamic year 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, A is the correct choice because it correctly computes the required static KPI for the APAC region, making it the verified answer.

Answer : A

To answer the two questions:

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: The non-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 other tables. 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 A the verified answer.

Answer : A

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 A the verified answer.

Answer : D

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 D the correct answer.

Answer : C

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 C the correct answer.

Answer : A

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

Answer : B

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, making B the best and verified option for this scenario.