[Apr 05, 2025] New Qlik QSBA2024 Dumps with Test Engine and PDF (New Questions) [Q10-Q26]

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[Apr 05, 2025] New Qlik QSBA2024 Dumps with Test Engine and PDF (New Questions)

Pass Your QSBA2024 Exam Easily – Real QSBA2024 Practice Dump Updated

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	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 3	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.
Topic 4	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.

Q10. A company director who spends very little time in applications needs to be informed when a threshold is breached. Which feature should the business analyst use?

Weekly PDF report

Storytelling

Alerting

Bookmark

Q11. A business analyst created a visualization that has a color indicator when an order is below a certain fixed profit threshold. This visualization now needs to change so that the threshold can be defined by the user. The user base is approximately 1000 heavy Excel users. These thresholds will be defined by each user somewhat frequently, although the data changes only once per day.
Which action should the business analyst take to update this visualization?

Add a threshold field and provide a filter pane for that field for users to select

Allow users to define their threshold in a shared spreadsheet and increase the app reload frequency to every hour

Introduce a variable for the threshold that is controlled by a variable slider

Create threshold values in the data manager using the Bucket function

Q12. Refer to the exhibit.

A movie analyst is using an app to gain insights into films created in the early 20th century. The analyst reviews the filter for Length Range, notices a hyphen “-“, and selects it.
What can the analyst determine from the resulting filter panes?

Six movies in the source data contain illegal characters for the Length Range field.

Movies at the start of the 20th century often varied in length.

All movies from the 1920s or 1930s contain no data for Length Range.

The source data for six movies is missing a Length Range.

Q13. Refer to the exhibit.

An app that will track experiments for rodents (e.g., rats and mice) that navigate mazes (labyrinths) is being developed. Individual rodents are catalogued in the Rodent table, while the Mazes table has metadata for the mazes. The MazeEscapes table holds a record of each attempt at a maze by a rodent. A business analyst needs to build a KPI that will allow users to see how many rodents have made at least one attempt at any maze.
How should the analyst construct the KPI?

* Create RodentlD AS RodentID_Counter in the MazeEscapes table.
* Use Count (Distinct RodentlD Counter) as the KPI expression.

* Create 1 AS RodentID_Counter in the Rodent table.
* Use Sum (RodentlD Counter) as the KPI expression.

Create 1 AS RodentID_Counter in the MazeEscapes table.
Use Sum (RodentlD Counter) as the KPI expression.

* Create RodentlD AS RodentlD Counter in the Rodent table.
* Use Count (Distinct RodentID Counter) as the KPI expression.

Q14. A business analyst using a shared folder mapped to S:488957004 receives an Excel file with more than 100 columns. Many of the columns are duplicates. Any current columns that should be used have the suffix ‘_c’ appended to the column name.
Which action should the business analyst take to load the Excel data?

Load all columns because the recommended associations will use only columns with the suffix ‘_c’

Utilize filter functionality in the Data manager to select only columns with the suffix ‘_c’ with a filter condition

Open the Excel file, remove all columns that do not have the suffix ‘_c’, and save the file to be loaded

Deselect the fields that do not have the ‘_c’ suffix in the Data manager table preview

Q15. The business analyst creates one table by concatenating and joining several source tables. This has resulted in a table of several thousand rows that may have several columns containing between 30% and 70% null values. The business analyst needs to understand the level of null values in each field of this table to determine if this is an issue.
Which capability should the business analyst use?

Select each field in the Data model viewer and use the Density value to determine the level of nulls

Enable the Preview Panel in the Data model viewer and inspect the data table visually to determine the level of null values

Look at the tags fields for any indication that $null is associated to this field

Inspect each field in the Data model viewer and use the Subset ratio to determine the level of null values

Q16. A business analyst receives multiple requests for a variety of different filter panes to be placed on a dashboard. Users need to filter on many different values across different fields.
Which Qlik Sense feature do the users need to learn about to meet their needs?

Smart search

Data model viewer

Insight Advisor

Governed self-service

Q17. Exhibit.

Refer to the exhibit.
An app is being developed at a university to monitor student exam attempts- Three core tables are loaded into the app for Students, Exams, and Attempts. Students can attempt the same exam multiple times.
Before building any visualizations, the business analyst needs to know:
* How many students are in the system
* What percentage of students have not yet attempted an exam
Which metadata should the analyst focus on to answer these questions?

Total distinct values and Subset ratio for the StudentID field in the Attempts table

Non-null values and Subset ratio for the StudentID field in the Students table

Subset ratio and Present distinct values for the ExamID field in the Attempts table

Present distinct values and Density% for the ExamID field in the Exams table

To answer the two questions:
How many students are in the system?
What percentage of students have not yet attempted an exam?
The analyst needs to focus on the StudentID field, specifically in relation to the Attempts table. This is because the Attempts table captures all exam attempts made by students, and we can deduce which students have and have not made an attempt by examining the presence of StudentID values in this table.
Key Concepts:
Total Distinct Values: This provides the total number of unique students who have attempted exams. It helps identify how many students have made at least one attempt.
Subset Ratio: This compares the values of StudentID between the Students table and the Attempts table. The subset ratio shows how many students in the Students table are represented in the Attempts table. This ratio helps determine the percentage of students who have not yet attempted any exams.
Why the Other Options Are Less Suitable:
B . Non-null values and Subset ratio for the StudentID field in the Students table: The non-null values in the Students table are not relevant to the question about exam attempts. The focus should be on whether the StudentID is present in the Attempts table.
C . Subset ratio and Present distinct values for the ExamID field in the Attempts table: This focuses on exams, not students. The question specifically relates to how many students have attempted exams.
D . Present distinct values and Density% for the ExamID field in the Exams table: This focuses on the number of exams and their density, which does not help in determining how many students have attempted or not attempted an exam.
References for Qlik Sense Business Analyst:
Subset Ratio and Distinct Counts: Qlik Sense’s data model viewer provides valuable metadata like the distinct count of a field and its subset ratio when compared to related fields in other tables. This is particularly useful for understanding relationships and gaps in the data, such as identifying students who have not yet made an exam attempt.
By focusing on the Total distinct values and Subset ratio for the StudentID field in the Attempts table, the business analyst can easily determine the total number of students and the percentage who have not yet attempted an exam, making A the verified answer.

Q18. A marketing team needs to display sales for a limited number of products by providing a bar chart that the user can control. The visualization has several requirements:
* Starts with the top five products
* Allows the user to change the number of products displayed
* Allows the user to scroll through all products on a mini chart
The business analyst creates a bar chat and a variable. Which steps should the business analyst complete next?

* Add the slider object and use the variable to set its value
* Set the number of bars to custom and use the variable to set its value

* Use the variable to fix the limitation
* Add an input box to enable the user to enter the required value

* Use the variable to fix the limitation
* Add a slider object and use the variable to set its value

* Add the slider object and use the variable to set its value
* Use the properties to set the number of bars to custom

Q19. A business analyst is creating an app that contains a bar chart showing the top-selling product categories. The users must be able to control the number of product categories shown.
Which action should the business analyst take?

Create a variable and variable input object and use variable in dimension limit field

Use firstsortedvalue() function to extract the required product categories

Create a variable and variable input object and use variable in the sales expression

Use a rankQ function in the sales expression

When users need control over how many product categories are shown in a bar chart, the most effective solution is to use a variable input object. This allows users to dynamically adjust the number of categories displayed.
A: Create a variable and variable input object and use the variable in the dimension limit field.
This is the correct solution. By creating a variable and using the Variable Input object, the user can dynamically control the number of product categories shown in the bar chart by adjusting the dimension limit. This method provides flexibility and an intuitive interface for the user.
B: Use firstsortedvalue() function to extract the required product categories.
The firstsortedvalue() function is typically used to extract the first occurrence of a value based on sorting criteria, but it’s not the best approach for controlling the number of displayed categories dynamically.
C: Create a variable and variable input object and use the variable in the sales expression.
While variables can be used in expressions, this approach is less efficient than using the dimension limit field, which is specifically designed for controlling the number of displayed values.
D: Use a rankQ function in the sales expression.
The rankQ function ranks data, but it’s not the most efficient or intuitive method for dynamically controlling the number of product categories displayed in a bar chart. It would require more complex expressions compared to the straightforward use of a variable in the dimension limit field.
Key Qlik Sense Business Analyst References:
The Variable Input object allows users to interact with and adjust variables within the app. This is ideal for giving users control over visual elements like the number of categories displayed in a chart.
The Dimension Limit field is specifically designed to control how many items (like product categories) are shown in a chart based on a ranking or expression.
Thus, the best approach to allow users to control the number of product categories displayed is to create a variable and variable input object, and use the variable in the dimension limit field.

Q20. A business analyst from the APAC region is creating a single KPI object for that region.
The analyst must meet the following requirements:
* The KPI should show a total of sales
* The business wants to compare current year (CY) vs last year (LY) sales
* The KPI should not change if the user makes selections
Which measure(s) will allow the KPI object to fulfill this requirement?

Q21. 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?

* 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

* 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

* 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

* 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

Q22. 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?

Scatter plot: Measures X-axis Sales and Y-axis Margin, Dimensions Customer or Product category Bar chart: Dimension Stage, Measure Sales

Scatter plot: Measures X-axis Sales and Y-axis Margin, Alternative dimensions Customer or Product category Funnel chart: Segments Stage, Width Sales

Combo chart: Measures Sales and Margin, Dimensions Customer or Product category Pie chart: Dimension Stage, Measure Sales

Distribution plot: Alternative measures Sales and Margin, Alternatives dimensions Customer or Product category Bar chart: Dimension Stage, Measure Sales

For analyzing the relationship between Sales and Margin, a scatter plot is ideal, as it allows you to visualize the relationship between two measures (Sales and Margin) across various dimensions such as Customer or Product Category. The funnel chart is 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.
Funnel Chart: This chart is particularly suited for visualizing the sales stages, as it visually demonstrates the proportion of sales moving through each stage of the sales funnel.
Why the Other Options Are Less Suitable:
A . Scatter plot and Bar chart: While a scatter plot is correct for analyzing Sales and Margin, a bar chart won’t adequately represent the different stages of the sales process as effectively as a funnel chart.
C . Combo chart and Pie chart: A combo chart could potentially work, but it would not show the relationship between Sales and Margin as clearly as a scatter plot. A pie chart is also less effective for representing stages in a sales funnel.
D . Distribution plot and Bar chart: A distribution plot does not effectively show the relationship between two measures, and a bar chart isn’t the best choice for visualizing the stages of a sales process.
References for Qlik Sense Business Analyst:
Scatter Plot for Relationships: This chart type is highly recommended when exploring relationships between two continuous variables, such as Sales and Margin.
Funnel Charts: These are ideal for visualizing how data moves through various stages of a process, such as sales stages, from initial engagement to final sale.
Therefore, the combination of a scatter plot and a funnel chart provides the best solution, making B the correct answer.

Q23. A project management team uses an app to monitor different projects.
* Projects may have co-dependent tasks and processes
* Some projects include subtasks
The business analyst needs to use a diagram similar to a workflow with the processes and the sub tasks represented as boxes with lines to relate them to each other. The color of the boxes could also be determined by the status of each project or task.
Which visualization should be used?

Sankey chart

Grid chart

Org chart

Network chart

Q24. A company CEO requests an app that contains global sales information. The CEO needs to present this information to an audience of international investors during an upcoming meeting.
The presentation must meet several requirements:
* Contain visualizations that present clearly to a large audience
* Answer audience questions dynamically
* Be made available as shared content
* Emphasize important sales revenue
Which Qlik Sense features should the business analyst prepare?

Embed a video player in the shared app with a recording to describe the charts

Create a sheet that features colorful and layered visualizations and export as a PDF

Set up NPrinting to connect to the app and design a si ides how-style report

Create a storytelling narration in a published app that contains embedded sheets

Q25. 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?

Define a variable and use it in a variable input object on the sheet

Create a calculated field in Data manager, using the Class() function

Load an independent source file to contain the user-defined boundary values

Create the price range dimension using the Buckets feature in Data manager

Q26. A data analyst is working on a new Qlik Sense application and realizes that some of the required data sources have already been used in previous applications. To streamline the data loading process and maintain consistency, the analyst decides to leverage existing data connections.
What actions should the analyst take to utilize the pre-existing data connections in Qlik Sense?

Copy the script from the old application and paste it into the new application’s script editor

Access the Data load editor and select the desired data connection from the list of available connections

Export the data connection from the old application and import it into the new one

Use a Qlik Sense extension to search and replicate data connections from other applications

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