Curious about Actual Qlik Sense (QSBA2024) Exam Questions?

Correct : D

To meet the CEO's requirements for a dynamic, interactive, and visually impactful presentation that can also be shared, the Storytelling feature in Qlik Sense is the best option. The Storytelling feature allows the business analyst to create a narrative combining static snapshots and live Qlik Sense sheets. This is perfect for large presentations as it lets the CEO present critical information and answer audience questions dynamically by embedding live sheets into the story, making the presentation interactive.

Key Concepts:

Storytelling: This feature allows the creation of a sequence of slides that include embedded live Qlik Sense visualizations, enabling dynamic responses to audience questions.

Shared Content: Once the app is published, it can be shared with a broader audience, allowing stakeholders to interact with the embedded sheets.

Why the Other Options Are Less Suitable:

A . Embed a video player: While videos can be useful, they do not allow for dynamic interaction, which is a requirement.

B . Colorful and layered visualizations exported as PDF: PDFs are static, and exporting as a PDF would not allow for dynamic interaction during the presentation.

C . NPrinting slideshow-style report: NPrinting is useful for generating reports, but it does not meet the need for live, dynamic presentations.

References for Qlik Sense Business Analyst:

Qlik Sense Storytelling for Presentations: Storytelling allows users to blend narrative and interactive elements, making it ideal for presenting to large audiences.

Thus, D is the best choice because it meets all the requirements for interactive and dynamic presentations, making it the verified answer.

Correct : C

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 C the correct answer.

Correct : C

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 C the verified answer.

Correct : C

To inform a company director when a threshold is breached, Alerting is the most appropriate feature. Qlik Sense allows users to set up automated alerts based on specific conditions or thresholds. These alerts can be configured to notify users when certain criteria are met, making it ideal for keeping the director informed without requiring them to constantly check the application.

Key Concepts:

Alerting: This feature allows users to set conditions (such as when a sales or performance threshold is breached) and automatically send notifications to the relevant individuals.

Automated Notifications: Alerting ensures that the director is notified promptly and automatically when a critical threshold is reached.

Why the Other Options Are Less Suitable:

A . Weekly PDF report: A weekly report would not provide real-time notifications, which are necessary when thresholds are breached.

B . Storytelling: Storytelling is used for presentations, not for monitoring thresholds.

D . Bookmark: A bookmark only saves a particular selection or view, and cannot send notifications when a condition is met.

References for Qlik Sense Business Analyst:

Alerting in Qlik Sense: Qlik Sense's alerting functionality is designed to notify users when specific conditions are triggered, making it ideal for scenarios where timely notifications are critical.

Thus, using Alerting is the best solution to notify the director when a threshold is breached, making C the verified answer.

Correct : A

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