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The Qlik QSBA2024 exam dumps are top-rated and real Qlik QSBA2024 practice questions that will enable you to pass the final Qlik QSBA2024 exam easily. TestsDumps is one of the best platforms that has been helping Qlik QSBA2024 Exam candidates. You can also get help from actual Qlik QSBA2024 exam questions and pass your dream Qlik QSBA2024 certification exam.

Qlik QSBA2024 Exam Syllabus Topics:

Topic	Details
Topic 1	Prepare and Load Data: This part of the [code] exam assesses the skills of developers and data analysts in preparing and loading data efficiently. It involves the creation and improvement of data models using Data Manager and verifying them through the data model viewer.
Topic 2	Identify Requirements: This section of the exam evaluates the expertise of professionals like solution architects. It emphasizes identifying Qlik Sense's capabilities to address various business needs. Participants will be tested on their ability to propose Key Performance Indicators (KPIs), dimensions, and measures that align with business objectives.
Topic 3	Design Applications: In this portion of the exam, professionals such as business intelligence developers and Qlik Sense designers will be tested on their competency in creating application layouts tailored to specific business demands. Candidates are also expected to showcase how they adapt and improve application designs based on input from stakeholders and evolving business needs.
Topic 4	Develop Application: The final section of the exam measures the ability of developers to build and fine-tune Qlik Sense applications. It covers the entire development process, from initial design to the refinement of applications in real-world scenarios.

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Qlik Sense Business Analyst Certification Exam - 2024 Sample Questions (Q44-Q49):

NEW QUESTION # 44
A business analyst has access to all of a company's data for the past 10 years. The source table consists of the following fields: TransactionID, TransactionTime, Transaction Date, Transaction Year, Cardholder, Cardholder address, Cardissuer, and Amount.
Users request to create an app based on this source with the following requirements:
* Users only review the data for the past 2 years
* Data must be updated daily
* Users should not view cardholder info
Which steps should the business analyst complete to improve the app performance?

A. * Deselect Cardholder and time fields in Data manager
* Use a filter pane based on auto-calendar fields
* Perform a daily reload via the Data manager
B. * Deselect Cardholder and time fields in Data manager
* Apply a filter to extract data based on transaction year
* Request a daily reload task from the system admin
C. * Delete Cardholder and time fields in Data manager
* Use a bookmark based on auto-calendar fields
* Use the reload function in the sheet Editor asset panel
D. * Delete Cardholder and time fields in Data manager
* Use set analysis to show data based on transaction year
* Use an API to perform a daily reload task

Answer: B

Explanation:
The business analyst needs to optimize the app for performance and ensure that users only see data from the past two years, without cardholder information, and that the data is updated daily. By deselecting the Cardholder and time fields in the Data Manager, the analyst ensures that sensitive information is not loaded. Applying a filter to extract data based on transaction year ensures that only relevant data (the last two years) is included in the app, improving performance. Lastly, requesting a daily reload task from the system administrator ensures that the app stays up to date.
Key Concepts:
Deselecting Fields: This removes unnecessary fields, such as Cardholder information, from the data model, which improves performance and ensures privacy.
Filtering Data: Applying a filter to limit data to the last two years reduces the dataset size and improves app responsiveness.
Daily Reload Task: Requesting a daily reload ensures that the app's data stays current, meeting the requirement for daily updates.
Why the Other Options Are Less Suitable:
A . Delete Cardholder and time fields, use bookmark: A bookmark is not an efficient solution for filtering by transaction year.
B . Set analysis and API reload: Set analysis works within the app but does not optimize the data load itself. Using an API for reload tasks is unnecessarily complex.
C . Use filter pane and auto-calendar: While auto-calendar fields can be useful, they don't optimize the data loading process for performance.
References for Qlik Sense Business Analyst:
Efficient Data Loading: Qlik Sense recommends filtering data at the load stage to improve performance, especially when dealing with large datasets.
Thus, D is the correct solution, making it the verified answer.

NEW QUESTION # 45
A banking organization needs a dashboard that shows the following:
* A KPI indicator for current year (CY) versus last year (LY) revenue
* A scatter plot that shows the cost versus revenue of product categories
* A treemap that shows average customer satisfaction rating based on regions
* A table that shows CY cost by record number, financial instrument, and bank In addition to the customer satisfaction rating, which fields should be used to create the required measures?

A. CY Revenue, LY Revenue, CY Cost
B. Revenue and Cost
C. CY Revenue, LY Revenue, Cost
D. Revenue and CY Cost

Answer: A

Explanation:
The banking dashboard requires several KPIs and visualizations based on current year (CY) and last year (LY) revenue, as well as cost and customer satisfaction. To build the required measures, the fields CY Revenue, LY Revenue, and CY Cost are necessary because they provide the comparison between the current and previous year, as well as cost-related data for the specific calculations.
Key Concepts:
KPI for CY vs LY Revenue: This requires both CY Revenue and LY Revenue fields.
Scatter Plot for Cost vs Revenue: This comparison requires both CY Revenue and CY Cost to create the necessary relationship in the scatter plot.
Treemap for Customer Satisfaction: In addition to the customer satisfaction rating, the field CY Revenue would likely be used for additional insights by region.
Table with CY Cost: The table requires CY Cost data along with other relevant fields like record number, financial instrument, and bank.
Why the Other Options Are Less Suitable:
B . CY Revenue, LY Revenue, Cost: While this covers the revenue fields, it does not specifically include CY Cost, which is needed for the table and scatter plot.
C . Revenue and Cost: This option is too general and does not distinguish between current year and last year revenue, which is essential for the KPI.
D . Revenue and CY Cost: This does not include LY Revenue, which is required for the KPI.
References for Qlik Sense Business Analyst:
Comparison Measures in Qlik Sense: In Qlik Sense, comparisons across time periods like CY and LY require specific fields to calculate accurate insights, and it's essential to ensure the appropriate fields are included for each visualization.
Thus, A provides the correct set of fields for the required dashboard, making it the verified answer.

NEW QUESTION # 46
A company has recently implemented Qlik Sense. A user is looking to use natural language questions to help create content. Which feature can achieve this goal?

A. Story and Bookmarks
B. Insights Advisor Chat
C. Associative Engine
D. Advanced Authoring

Answer: B

Explanation:
In Qlik Sense, the Insights Advisor Chat is the feature that allows users to interact with the app through natural language questions. This tool leverages Qlik's advanced AI and machine learning capabilities to interpret natural language queries and generate relevant insights, visualizations, or suggestions for analysis.
A . Advanced Authoring
Advanced Authoring is a set of tools in Qlik Sense designed for creating detailed visualizations and reports, but it does not include natural language interaction capabilities. It is focused more on customization and precise design rather than conversational querying.
B . Story and Bookmarks
Storytelling and bookmarks in Qlik Sense are tools for narrative data presentations and saving specific states of analysis. They do not provide the ability to ask natural language questions or automatically generate insights.
C . Insights Advisor Chat
Insights Advisor Chat is the correct answer. This feature allows users to interact with their data by typing natural language questions, which the system interprets to generate appropriate responses, including charts, KPIs, and other insights. It is designed to assist non-technical users by making data exploration more intuitive and accessible through natural language.
D . Associative Engine
The Associative Engine is the underlying technology that allows Qlik Sense to handle large datasets and perform associative searches across them. While it is powerful for data exploration, it does not provide a direct interface for natural language querying like Insights Advisor Chat does.
Key Qlik Sense Business Analyst References:
Insights Advisor Chat is a feature in Qlik Sense that empowers users to ask questions in natural language and get meaningful responses without needing to be data experts.
It is part of Qlik Sense's broader set of augmented intelligence tools that enhance the user experience by providing guided insights and helping users discover relationships in data through natural language queries.
This feature simplifies data exploration for business users who might not be familiar with complex data querying techniques.
Thus, the feature that allows users to use natural language questions in Qlik Sense is Insights Advisor Chat.

NEW QUESTION # 47
A business analyst needs to create two side-by-side charts for a sales department with the following data:
* Number of orders
* Name of the customer
* Percentage of margin
* Total sales
The charts use a common dimension, but each chart has different measures. The analyst needs to create a color association between the two charts on the dimension values.
Which action should the business analyst take?

A. Define the color values in the master measures and use the color library
B. Select 'By Dimension' and 'Persistent colors' in the Colors property panel
C. Use the Fieldlndex function to set the colors by expression for each dimension value
D. Use nested IF statements to set the colors by expression for each dimension value

Answer: B

Explanation:
In Qlik Sense, the 'By Dimension' and 'Persistent colors' options in the Colors property panel ensure that the same dimension values have the same color across multiple charts. This is especially useful when you have two or more side-by-side charts sharing a common dimension, like customer names in this case. Persistent colors guarantee consistency in color assignment, helping users visually track the same dimension across different visualizations.
Key Concepts:
By Dimension: This option ensures that each unique value of a dimension (e.g., customer name) gets a distinct color across all charts that use this setting.
Persistent Colors: This feature ensures that the colors remain the same between charts, making the visual comparison across charts easier for the users.
Why the Other Options Are Less Suitable:
A . Use nested IF statements to set the colors by expression for each dimension value: While this would work, it would be unnecessarily complex to maintain and manage, especially with many dimension values.
B . Define the color values in the master measures and use the color library: This would only apply if the goal was to set colors based on measures, not dimensions. In this case, dimension consistency is required, not measure-based coloring.
D . Use the FieldIndex function to set the colors by expression for each dimension value: This would involve writing complex expressions that would not be as straightforward as using the built-in functionality of 'By Dimension' and 'Persistent colors'.
References for Qlik Sense Business Analyst:
Color Consistency Across Charts: The 'By Dimension' and 'Persistent colors' settings are recommended in Qlik Sense documentation when creating multi-chart layouts with shared dimensions, ensuring visual coherence across different charts.
The Persistent colors and By Dimension settings offer a straightforward and maintainable way to create color associations across charts, making option C the verified solution.

NEW QUESTION # 48
A clothing manufacturer has operations throughout Europe and needs to manage access to the data.
There is data for the following countries under the field SACOUNTRY -> France, Spain, United Kingdom and Germany. The application has been designed with Section Access to manage the data displayed.

What is the expected outcome of this Section Access table?

A. USER1 does not see data for France and Spain. USER2 does not see data for the United Kingdom. ADMIN sees data for all countries.
B. USER1 does not see data for France and Spain, USER2 does not see data for United Kingdom. ADMIN can not open the application
C. USER1 sees data for France and Spain, USER2 sees data for the UK. ADMIN sees data for France, Spain, Germany and United Kingdom
D. USER1 sees data for France and Spain, USER2 sees data for the UK. ADMIN sees data for France, Spain and United Kingdom

Answer: C

Explanation:
In this Section Access script, the roles and access to data for different users are defined based on the SACOUNTRY field. Here's how the data access will work:
ADMIN: The ADMIN user has access to all data because the * in the SACOUNTRY field allows full access to all countries in the dataset.
USER1: This user has access to Spain and France because the SACOUNTRY field specifies these countries for USER1.
USER2: This user has access to United Kingdom because the SACOUNTRY field specifies only the UK for USER2.
Key Concepts:
Section Access: This feature in Qlik Sense controls which data users can see based on their login credentials. The access rights are controlled through fields like ACCESS, USERID, and SACOUNTRY in this case.
Why the Other Options Are Less Suitable:
B and C: These suggest that users won't see data they have access to, which contradicts the defined Section Access script.
D: This incorrectly assumes that ADMIN cannot see Germany, which is not defined in the script.
References for Qlik Sense Business Analyst:
Section Access Best Practices: In Qlik Sense, Section Access tables define the data that users can see, and the use of * for the ADMIN role ensures access to all data.
Thus, A is the correct answer because it matches the expected data access behavior based on the script, making it the verified answer.

NEW QUESTION # 49
......

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2025 Excellent Training QSBA2024 Online | 100% Free New QSBA2024 Test Guide

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Qlik Sense Business Analyst Certification Exam - 2024 Sample Questions (Q44-Q49):

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