QSBA2024 Exam Dumps : Qlik Sense Business Analyst Certification Exam-2024

Storytellingin Qlik Sense allows business users to create dynamic presentations based on data insights. This feature is ideal for executives like the VP of Finance who need to share financial insights in meetings. Storytelling allows users to create guided stories from data visualizations, offering a customizable solution that can be tailored to the monthly meeting agendas.

Key Concepts:

Storytelling: This feature enables users to create data-driven stories with snapshots from Qlik Sense visualizations, allowing for dynamic, customized presentations that can be updated as data changes.

Customizable: The VP of Finance can customize the presentation each month to focus on relevant financial metrics and insights.

Why the Other Options Are Less Suitable:

B. Insight Advisor Chat: While helpful for querying data interactively, this option is not suited for presenting data in a structured, presentable format to executives.

C. Action Buttons: Action buttons are used for navigating or interacting within apps, but they are not relevant for creating presentations.

D. Bookmarks: Bookmarks save specific selections, but they don’t provide the dynamic, presentable format needed for meetings.

References for Qlik Sense Business Analyst:

Storytelling in Qlik Sense: This feature is often recommended for creating interactive, data-driven presentations, especially for executive-level meetings.

Thus,Storytellingoffers the most effective solution for presenting financial data in a customizable format, makingAthe correct answer.

In scenarios where a customer needs to standardize colors across multiple apps and be able to update them quickly, usingvariablesin combination with aninclude statementis the most flexible and maintainable approach.

A. Design all base objects as master visualizations and link each object in each app to the relevant master visualization.While master visualizations help with consistency within a single app, they don't offer an easy way to update all apps globally. You would need to manually update the colors in every master visualization in each app, which is not efficient for large-scale management.

B. Develop the first app with every variation of object and visualization and duplicate this app.Duplicating apps will create maintenance challenges. Each app would need to be updated individually if colors or other settings change, which is not scalable for over 100 apps.

C. Create all color expressions as variables in a text file, load it in each app with an include statement, and use these variables in the color property of all objects.This is the most efficient solution. By storing color definitions in a text file and loading them with aninclude statement, the business analyst can update the colors in one place, and these updates will be reflected across all apps that use the file. This method ensures easy maintenance and flexibility.

D. Store color definitions within a .qvd file and load it as a data island.While using a .qvd file is possible, it’s not as straightforward as using variables and an include statement. Data islands are typically used for selection purposes, and this method would introduce unnecessary complexity in managing colors.

Key Qlik Sense Business Analyst References:

Variablesare widely used in Qlik Sense for managing repeated expressions or values like colors. They can be defined once and reused throughout the app.

Include statementsallow external files (like text files containing variables) to be loaded into apps, ensuring that updates made to the text file are automatically reflected in all apps that use it. This creates a flexible and scalable solution for managing standardization across multiple apps.

Thus, the best way to maintain a standardized color palette across all apps is tocreate all color expressions as variables in a text file and load them into each app using an include statement.

Ascatter plotis 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 usingK-Means clusteringto color the products, the business analyst can visually group similar products. Additionally, adding amedian sales volume reference linemakes 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 ascatter plotwith K-Means clustering and a median sales volume reference line is the best approach, makingDthe verified answer.