Qlik Sense Business Analyst Dumps
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Qlik Sense Business Analyst Actual Questions
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Qlik Sense Business Analyst Certification 2025
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When considering the impact of Qlik's Cognitive Engine on data analysis, which of the following features should be highlighted as beneficial for users?
Automatic suggestions for data visualization types based on data structure.
Enhanced loading speed for large datasets through optimization algorithms.
Predictive insights generated from historical data patterns.
Answer: A, C
Explanation: The Cognitive Engine offers automatic visualization suggestions and predictive insights, streamlining the analysis process and enhancing user experience.
When writing a data load script in Qlik Sense, which of the following statements accurately describes the purpose and capabilities of the script?
A. The script can extract data from multiple sources, such as databases, Excel files, and APIs.
B. It allows for data transformation, including filtering, aggregating, and renaming fields during the load process.
C. The script must be executed manually every time data is refreshed.
D. It can include conditional logic to load different data sets based on user inputs. Answer: A, B, D
Explanation: The data load script can extract from various sources, allows for transformations during loading, and can include conditional logic. However, scripts can also be scheduled for automatic execution.
Real-time collaboration tools for multiple users.
When loading data from multiple sources, what practices should be employed to ensure data integrity and consistency?
Standardize field names and data formats across different sources before loading.
Use the JOIN statement to combine records from different sources without common keys.
Validate data post-load to ensure accuracy and consistency.
Load data incrementally to avoid overwriting existing data.
Answer: A, C, D
Explanation: Standardizing names, validating data, and loading incrementally are important practices, while using JOINs without common keys can lead to data integrity issues.
In a scenario where you want to customize the colors of a bar chart based on performance metrics, which methods can be utilized to apply custom colors effectively?
A. Use the ColorMix function to create a gradient based on sales performance.
B. Specify CSS color codes directly in the color settings for specific measures.
C. Apply If statements in the color expression to change colors based on conditions.
D. Use the default color palette only, as custom colors are not allowed in Qlik Sense. Answer: A, B, C
Explanation: The ColorMix function allows for gradients, CSS color codes can be applied for specific measures, and If statements can dynamically change colors based on conditions, enhancing visualization.
In a scenario where you need to compare sales data across different regions while allowing for user interactivity, which methods should be utilized to facilitate effective comparisons?
A. Implementing filters to allow users to select specific regions.
B. Using bookmarks to save specific views of the data for quick access.
C. Applying alternate states to enable side-by-side data comparisons.
D. Utilizing set analysis to create predefined comparisons within visualizations.
Answer: A, C, D
Explanation: Filters allow for user selection of regions, alternate states enable side-by- side comparisons, and set analysis provides predefined comparisons, making these methods effective for interactive data analysis.
In a scenario where you want to calculate the difference in sales between the current month and the previous month, which expression would effectively achieve this?
Sum(Sales) where Month(DateField) = Month(Today()) - Sum(Sales) where Month(DateField) = Month(Today()) - 1
Sum({=$(=MonthStart(Today()))<=$(=MonthEnd(Today()))"}>} Sales) - Sum({=$(=MonthStart(AddMonths(Today(),
-1)))}<=$(=MonthEnd(AddMonths(Today(), -1))"}>} Sales)
Month(DateField) = Month(Today() - 1)
D. Sum(Sales) where DateField = Month(Today()) - Sum(Sales) where DateField = Month(Today()) - 1
Answer: B
Explanation: Option B correctly calculates the difference in sales between the current and previous months using Set Analysis to filter the respective date ranges.
When configuring the Qlik Management Console (QMC), which of the following tasks can an administrator perform?
A. Monitor application performance metrics and resource usage.
B. Create and manage user roles and security rules.
C. Develop new Qlik Sense applications directly from the QMC.
D. Schedule data reloads and manage data connections. Answer: A, B, D
Explanation: The QMC allows for monitoring performance, managing user roles and security, and scheduling data reloads, but application development occurs in the Qlik Sense Hub, not the QMC.
Sum(Sales) where Month(DateField) = Month(Today()) - Sum(Sales) where
To effectively utilize Bookmarks in Qlik Sense for a sales dashboard, which of the following practices should be avoided to maintain clarity and usability?
Creating descriptive names for each bookmark based on the selection criteria.
Saving bookmarks for each user-specific view of the data.
Organizing bookmarks into relevant folders for easy access.
Regularly updating bookmarks to reflect changes in data or analysis focus. Answer: B
Explanation: While saving user-specific views can be helpful, it may lead to clutter and confusion. It's better to maintain general bookmarks that apply broadly.
In the context of Qlik Sense, what are the benefits of utilizing web mashups within applications?
A. They enhance user engagement by integrating multiple data sources.
B. They allow embedding of external web content for enriched visualizations.
C. They limit the flexibility of Qlik dashboards by using static content.
D. They facilitate interactive experiences by combining Qlik data with web applications. Answer: A, B, D
Explanation: Web mashups enhance engagement and interactivity by integrating diverse data sources and embedding external content, improving the overall user experience.
When sharing insights through Snapshots in Qlik Sense, which of the following actions can enhance the clarity and effectiveness of the information presented?
A. Annotate Snapshots with comments explaining key insights.
B. Share Snapshots without context to allow users to interpret the data themselves.
C. Group related Snapshots in a Story for cohesive presentations.
D. Use high-resolution images to ensure visual clarity in presentations.
Answer: A,C,D
Explanation: Annotating Snapshots enhances clarity, grouping them in a Story provides a cohesive view, and using high-resolution images ensures visual clarity. Sharing without context is not advisable as it can lead to misinterpretation.
When analyzing customer feedback, which measures should be included in a Qlik Sense application to provide comprehensive insights?
Average feedback score for the period.
Total number of feedback submissions.
Customer demographics associated with feedback.
Percentage of positive feedback responses. Answer: A, B, C, D
positive feedback percentages allows for a complete analysis of customer feedback.
In your Qlik Sense application, you need to implement a conditional aggregation that counts the number of customers who made purchases over $500. Which of the following expressions would achieve this using the Count function?
A. Count({500"}>} Customers)
B. Count(If(PurchaseAmount > 500, Customers))
C. Count(Distinct Customers) where PurchaseAmount > 500
D. Count(Pick(Match(PurchaseAmount, >500), Customers)) Answer: B
Explanation: Option B correctly uses the Count function with an If condition to count only those customers whose purchases exceed $500.
When implementing a dashboard for analyzing employee performance, which measures should be included to provide comprehensive insights?
A. Total sales generated by each employee.
B. Average customer feedback score per employee.
Explanation: Including average scores, total submissions, customer demographics, and
Employee attendance records.
Overall team performance metrics. Answer: A, B, C, D
Explanation: Including total sales, average feedback scores, attendance records, and team metrics provides a well-rounded view of employee performance, enabling effective analysis.
To effectively use variables in Qlik Sense scripts, which of the following practices should be adopted?
Use the LET statement to define variables with expressions.
Reference variables in visualizations using the syntax =$(VariableName).
D. Regularly update variable values based on user interactions. Answer: A, B, D
Explanation: Defining variables with LET, referencing them in visualizations, and updating based on user interactions enhance the utility of variables in Qlik Sense.
In a Qlik Sense application, what best practices should be followed to ensure effective use of bookmarks?
A. Save bookmarks with descriptive names for easy identification.
B. Allow users to create personal bookmarks for their analysis.
C. Limit bookmark creation to ensure only essential views are saved.
D. Regularly review and manage bookmarks to remove outdated ones. Answer: A, B, D
Explanation: Saving bookmarks with descriptive names, allowing personal bookmarks, and regularly managing them enhance usability and organization within the application.
In preparing a Qlik Sense application for production, which of the following actions
Define variables only within the load script, not in expressions.
should be taken to ensure a professional appearance?
Create a clear and meaningful thumbnail image for the application.
Use a consistent color scheme throughout the application.
Include a detailed user manual as part of the app.
Set appropriate titles and labels for clarity in visualizations. Answer: A, B, D
Explanation: Creating a thumbnail, using a consistent color scheme, and setting clear titles and labels enhance the professional appearance of the application.
A. (Sum({} Sales) - Sum({} Sales)) / Sum({} Sales) * 100
B. (Sum(Sales) where Year = 2025 - Sum(Sales) where Year = 2024) / Sum(Sales) where Year = 2024 * 100
C. (Sum({} Sales) - Sum({} Sales)) / Sum({} Sales) * 100
D. (Sum(Sales) for Category = 'Electronics' in Year 2025 - Sum(Sales) for Category = 'Electronics' in Year 2024) / Sum(Sales) for Category = 'Electronics' in Year 2024 * 100
Answer: C
Explanation: Option C correctly applies Set Analysis to calculate the sales growth rate for the 'Electronics' category between 2024 and 2025.
What are Qlik Sense extensions, and in which situations should they be utilized to enhance application functionality?
A. Extensions are pre-built visualizations that can be used to extend the default capabilities of Qlik Sense.
B. Use extensions when you require a visualization type that is not provided by Qlik Sense natively.
C. Extensions should only be used for data loading purposes.
D. Extensions can be used to implement complex calculations that are not possible within standard visualizations.
To determine the sales growth rate compared to the previous year for a specific product category, which expression would you use to calculate this percentage change?
Answer: A, B, D
Explanation: Extensions enhance application functionality by providing additional visualization types and can be used for complex calculations when standard visualizations do not suffice.
To calculate the average revenue for each product category while excluding any categories with total sales less than $5,000, which expression would correctly use AGGR()?
Avg(Aggr(Sum(Sales), Category) where Sum(Sales) >= 5000)
Avg({5000"}>} Aggr(Sum(Sales), Category))
Aggr(Avg(Sales), Category) where Sum(Sales) >= 5000
Answer: A
Explanation: Option A correctly uses AGGR() to calculate the average revenue while filtering out categories with total sales below the specified threshold.
When discussing the benefits of using Qlik Core for developers, which of the following advantages should be highlighted?
A. Flexibility to embed analytics in custom applications
B. Pre-built dashboards for quick deployment
C. Access to Qlik's associative engine
D. Simplified data loading procedures Answer: A, C
Explanation: Qlik Core offers the flexibility to integrate analytics into custom applications and provides access to the powerful associative engine for data processing.
Avg(Aggr(Sum(Sales), Category) where Total Sales >= 5000)