QSBA2024: Qlik Sense Business Analyst Certification Exam
The QSBA2024 exam, also known as the Qlik Sense Business Analyst certification, tests your skills in using Qlik Sense for data visualization and analysis. Here are some important things to know about the exam:
QSBA2024 Exam Overview
- Purpose: The QSBA2024 certification validates your ability to analyze data, create visualizations, and generate insights using Qlik Sense.
- Target Audience: It’s aimed at business analysts and data professionals who work with Qlik Sense to make data-driven decisions.
Exam Structure
- Format: Typically consists of multiple-choice questions, scenario-based questions, and practical exercises.
- Duration: Usually around 90 minutes.
- Number of Questions: Varies, but often includes around 60 questions.
Qlik Sense Business Analyst Certification Topics Covered
- Qlik Sense Fundamentals: Understanding the interface, data loading, and data preparation.
- Data Modeling: Creating data models and working with data sources.
- Visualizations: Building effective dashboards and reports, using charts and graphs.
- Analytical Techniques: Applying filters, set analysis, and other analytical functions.
- Best Practices: Following best practices in design and data visualization.
Preparation Tips
- Official Study Materials: Use Qlik’s official resources, such as documentation, training courses, and QSBA2024 practice exams.
- Sample Questions: Practice with sample questions to familiarize yourself with the exam format.
- Practice Tests: DumpsLink also provides valid and accurate practice tests for Qlik Sense Business Analyst Certification.
QlikView Certification Benefits
- Career Advancement: The certification can enhance your resume and may open up new job opportunities.
- Credibility: Validates your skills to employers and peers, establishing you as a knowledgeable professional in data analytics.
By understanding the exam structure, key topics, and preparation strategies of DumpsLink, you can better equip yourself for success in the QSBA2024 certification. Good luck!
QSBA2024 Sample Exam Questions and Answers
| QUESTION: 1 |
| 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? Option A: Define a variable and use it in a variable input object on the sheet Option B: Create a calculated field in Data manager, using the Class() function Option C: Load an independent source file to contain the user-defined boundary values Option D: Create the price range dimension using the Buckets feature in Data manager |
| Correct Answer: A |
| Explanation/Reference: 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, makingAthe correct choice. |
| QUESTION: 2 |
| A business analyst is creating a data model from several Excel files that contain several hundred thousand rows of data. The requirements include:•Users need to drill down to various details within the available data set.Several final measures will be repeatedly used.These final measures require combining several fields in a single table.User experience and load time is a high priority.Which action should the business analyst take to meet these requirements? Option A: Aggregate the data to the source period Option B: Develop a master item using the required source fields Option C: Combine the various source fields in a calculated item in the Data manager Option D: Combine the source fields and create additional fields in Excel |
| Correct Answer: B |
| Explanation/Reference: In Qlik Sense, creatingMaster Itemsallows 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: 3 |
| A business analyst is working with retail data for consumer products.The customer is interested in the following: Ability to look for outliers on sales volume and margin % Ability to understand the clustering of products visually Ability to see products that are above the median sales volume Which action should the business analyst take to implement these requirements? Option A: Create a pivot table and color the sales volume cell using K-Means function and median sales volume as an additional column Option B: Create a treemap visualization showing sales volume and margin% by product with the median sales volume in the title Option C: Create a combo chart with K-Means colors for the bar and a line measure representing median sales volume Option D: Create a scatter plot using K-Means to color the products and add a median sales volume reference line |
| Correct Answer: D |
| Explanation/Reference: 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: Pivot table: While a pivot table could show aggregated data, it is not as effective for visualizing outliers or clustering as a scatter plot.Treemap: A treemap can show hierarchical relationships but is not as effective for identifying clusters or outliers.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. |
| QUESTION: 4 |
| The sales manager is investigating the relationship between Sales and Margin to determine if this relationship is linear when choosing the dimension Customer or Product Category. The sales manager wants to have the potential percentage Sales for each Stage (Initial to Won) of the sales process. Which visualizations will meet these requirements? Option A: Scatter plot: Measures X-axis Sales and Y-axis Margin, Dimensions Customer or Product category Bar chart: Dimension Stage, Measure Sales Option B: Scatter plot: Measures X-axis Sales and Y-axis Margin, Alternative dimensions Customer or Product category Funnel chart: Segments Stage, Width Sales Option C: Combo chart: Measures Sales and Margin, Dimensions Customer or Product category Pie chart: Dimension Stage, Measure Sales Option D: Distribution plot: Alternative measures Sales and Margin, Alternatives dimensions Customer or Product category Bar chart: Dimension Stage, Measure Sales |
| Correct Answer: B |
| Explanation/Reference: For analyzing the relationship between Sales and Margin, ascatter plotis ideal, as it allows you to visualize the relationship between two measures (Sales and Margin) across various dimensions such as Customer or Product Category. Thefunnel chartis perfect for visualizing stages in a sales process, as it shows how sales progress from the initial stage to the final (Won) stage, with the width of each segment representing the total sales for each stage. Key Concepts: Scatter Plot: This type of chart is specifically designed to visualize the correlation or relationship between two measures, making it ideal for analyzing Sales versus Margin across different dimensions. |