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QSBA2024 Study Material, QSBA2024 Real Exam
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Qlik - Professional QSBA2024 - Qlik Sense Business Analyst Certification Exam - 2024 Study Material
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Qlik Sense Business Analyst Certification Exam - 2024 Sample Questions (Q39-Q44):
NEW QUESTION # 39
In the 'Sales By Product' bar chart, a customer wants to highlight a specific product bar that includes a dynamic label. The label will only be visible when conditions are met. Which feature should the business analyst add to the bar chart?
- A. A reference line add-on under Properties
- B. A Color By Expression property under Appearance
- C. An Alternative dimension with a calculation
- D. A Dimension reference line add-on
Answer: B
Explanation:
To dynamically highlight a specific product bar in a bar chart based on conditions, the best approach is to use the Color By Expression feature under the Appearance settings in Qlik Sense. This feature allows you to apply conditional formatting to bars, changing their color dynamically based on expression logic.
A . A Color By Expression property under Appearance
This is the correct answer. The Color By Expression property allows the business analyst to dynamically color bars in the chart based on specific conditions. The expression can be set to highlight a specific product bar only when certain conditions are met, and the color can be customized to make it stand out.
B . A Dimension reference line add-on
Dimension reference lines are used to show thresholds or important values along the axes, but they do not dynamically color the bars or add conditional labels to them. This would not achieve the desired effect.
C . An Alternative dimension with a calculation
Alternative dimensions allow users to switch between different dimensions in the same chart, but they do not provide dynamic highlighting or conditional visibility for labels.
D . A reference line add-on under Properties
Reference lines are used to mark specific values or thresholds in a chart, but they do not interact with the dynamic coloring or visibility of labels on individual bars.
Key Qlik Sense Business Analyst References:
Color By Expression is a powerful feature in Qlik Sense that allows dynamic customization of chart colors based on expressions, making it ideal for highlighting specific data points or conditions.
This feature provides great flexibility in creating visually engaging and interactive charts that respond to changes in the underlying data or user selections.
Thus, the correct way to highlight a specific product bar with a dynamic label is to use Color By Expression under Appearance.
NEW QUESTION # 40
A business analyst is creating a data model from several Excel files that contain several hundred thousand rows of dat a. 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?
- A. Combine the various source fields in a calculated item in the Data manager
- B. Aggregate the data to the source period
- C. Develop a master item using the required source fields
- D. Combine the source fields and create additional fields in Excel
Answer: C
Explanation:
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.
NEW QUESTION # 41
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?
- A. Create a treemap visualization showing sales volume and margin% by product with the median sales volume in the title
- B. Create a scatter plot using K-Means to color the products and add a median sales volume reference line
- C. Create a combo chart with K-Means colors for the bar and a line measure representing median sales volume
- D. Create a pivot table and color the sales volume cell using K-Means function and median sales volume as an additional column
Answer: B
Explanation:
A scatter plot is 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 using K-Means clustering to color the products, the business analyst can visually group similar products. Additionally, adding a median sales volume reference line makes 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 a scatter plot with K-Means clustering and a median sales volume reference line is the best approach, making D the verified answer.
NEW QUESTION # 42
A business analyst is creating an app using a dataset from ServiceNow. The dataset shows information about support cases, including how many days it has been since the case was opened (age).
The app requirements are:
* The dashboard must display support cases in categories based on the age (New, Aging, and Beyond Service Level Agreement)
* The categories will be used multiple times in the dashboard
* Given the volume of support cases, it is expected that the dataset will grow to be very large Which solution is the most efficient way for the business analyst to create this app?
- A. Write a master dimension with a nested IF statement to group ages together
- B. Create an Excel sheet with all possible age values and the corresponding categories to add to the data model
- C. Create a new field for the categories using the Bucket option in the Data manager
- D. Ask the ServiceNow team to create the field in the source dataset
Answer: C
Explanation:
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.
NEW QUESTION # 43
The CEO has requested a dashboard that tracks the company's performance. The main requirements for the dashboard:
* Minimal number of visualizations or objects
* Display multiple key measures
* Ability to easily navigate to other sheets
Which features would meet the requirements?
- A. Multi KPI with master visualizations
- B. A container with multiple visualizations
- C. A bookmark to selected key measures
- D. Dynamic text and image linked objects
Answer: A
Explanation:
The Multi KPI object is designed to display multiple key measures in a compact and visually appealing format, making it ideal for a dashboard that requires a minimal number of visualizations but must present multiple key metrics. By using master visualizations, the business analyst ensures consistency and reusability across different sheets. This setup also allows for easy navigation through the app, as users can drill down into more detailed sheets when needed.
Key Concepts:
Multi KPI: This visualization allows multiple key performance indicators (KPIs) to be displayed in a single object, reducing the need for multiple charts or visualizations while ensuring that critical metrics are visible.
Master Visualizations: These ensure that KPIs are consistent across the app and can be reused as needed, helping to maintain a clean and efficient dashboard.
Why the Other Options Are Less Suitable:
B . Dynamic text and image linked objects: This could work for navigation, but it wouldn't meet the requirement of displaying multiple key measures in a minimal number of visualizations.
C . Bookmark: A bookmark is used to save a particular state of selections but isn't useful for showing multiple KPIs simultaneously.
D . Container: While containers can hold multiple visualizations, the Multi KPI object is more suited to displaying multiple key measures in a compact space.
References for Qlik Sense Business Analyst:
Multi KPI for Compact Dashboards: Qlik Sense recommends using Multi KPI objects when there is a need to display multiple key metrics in a minimalistic format.
Thus, A is the best choice to meet the CEO's requirements, making it the correct answer.
NEW QUESTION # 44
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