Easy To Download Qlik QSBA2024 Exam Dumps Updated 52 Questions [Q13-Q34]

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Easy To Download Qlik QSBA2024 Exam Dumps Updated 52 Questions

New Updated QSBA2024 Exam Questions 2025

Qlik QSBA2024 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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	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.

QUESTION 13
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?

Advanced Authoring

Story and Bookmarks

Insights Advisor Chat

Associative Engine

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.

QUESTION 14
A business analyst needs to rapidly prototype an application design for a prospective customer. The only dataset provided by the customer contains 30 fields, but has over one billion rows. It will take too long to keep loading in its entirety while the analyst develops the data model.
Which action should the business analyst complete in the Data manager?

Split the dataset and create a normalized star schema of associated tables

Deselect text columns with unique data values to reduce the memory footprint

Use the Filter data option to reduce the number of rows

Truncate text fields longer than 256 characters to create preview fields

When working with large datasets, such as the one containing over a billion rows in this scenario, loading the entire dataset can be time-consuming, especially during the development phase. Qlik Sense provides a Filter data option in the Data Manager, which allows business analysts to work with a subset of the data during development. This is particularly useful for rapidly prototyping the application design.
Key Concepts:
Filter Data Option: This feature in Qlik Sense allows the analyst to load a smaller sample of the dataset for analysis and development purposes. By filtering out unnecessary rows, the business analyst can quickly build and prototype the application without waiting for the full dataset to load. Once the design is finalized, the full dataset can be reloaded.
Prototyping with Reduced Data: It’s often more efficient to work with a smaller dataset during the design phase. This allows for faster iterations and design cycles, especially when working with large datasets.
Why the Other Options Are Less Suitable:
A . Split the dataset and create a normalized star schema of associated tables: This would involve complex data modeling that is not necessarily related to the immediate need of reducing the size of the dataset for prototyping. While star schemas can optimize data models, it’s not the quickest way to reduce the number of rows for initial testing.
B . Deselect text columns with unique data values to reduce the memory footprint: This may reduce the memory usage but won’t necessarily address the issue of reducing the number of rows. Also, the text columns might be important for the analysis and should not be removed without careful consideration.
D . Truncate text fields longer than 256 characters to create preview fields: Truncating text fields will not significantly reduce the dataset size or the load time. It may also result in losing critical information, which is not ideal for prototyping.
References for Qlik Sense Business Analyst:
Rapid Prototyping: Qlik Sense encourages rapid development of applications by allowing business analysts to work with subsets of the data. The Filter Data option is an important tool for managing large datasets efficiently.
Data Manager Tools: The Data Manager in Qlik Sense provides several tools for reducing the dataset size, and filtering is one of the key options for improving performance during development.
Using the Filter data option allows the business analyst to focus on a smaller subset of data, enabling quicker prototyping and iteration, which makes option C the most effective solution.

QUESTION 15
A business analyst is building an app to analyze virus outbreaks. They create a bar chart using a dimension of Continent, and a measure of Sum (Knowning sections). They require a secondary bar on the chart, so they create a second measure using Count (MajorCities).
The bar chart adjusts, but no bars are visible for this second measure. Which action should the business analyst take to resolve this issue?

Recreate the second measure as an alternative measure

Change the Y-axis Range scale from Auto to Custom and select a suitable Max value

Enable Value labels within the Presentation section of the Appearance properties

Convert the bar chart to a combo chart and reconfigure the second measure to be a bar

QUESTION 16
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?

QUESTION 17
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?

Create a pivot table and color the sales volume cell using K-Means function and median sales volume as an additional column

Create a treemap visualization showing sales volume and margin% by product with the median sales volume in the title

Create a combo chart with K-Means colors for the bar and a line measure representing median sales volume

Create a scatter plot using K-Means to color the products and add a median sales volume reference line

QUESTION 18
A company CFO has requested an app that contains visualizations applicable to analyzing the finance dat a. Each regional finance team will analyze their data and should only have access to the data in their region. The app must contain a high-level sheet that navigates to relevant detail sheets.
Which features support a logical design structure?

A dashboard of KPIs and section access

A pivot table that filters by region

A Multi KPI with set analysis

A dashboard with regional bookmarks

QUESTION 19
The human resources department needs to see a distribution of salaries broken down by department with standard deviation indicators.
Which visualization should the developer use?

Distribution plot

Box plot

Histogram

Scatter plot

QUESTION 20
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?

Multi KPI with master visualizations

Dynamic text and image linked objects

A bookmark to selected key measures

A container with multiple visualizations

QUESTION 21
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

QUESTION 22
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

QUESTION 23
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

QUESTION 24
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?

Ask the ServiceNow team to create the field in the source dataset

Create an Excel sheet with all possible age values and the corresponding categories to add to the data model

Create a new field for the categories using the Bucket option in the Data manager

Write a master dimension with a nested IF statement to group ages together

QUESTION 25
A business analyst is creating an app for the team. A set of selections must be applied every time an app is opened. Which action should the business analyst take to meet this requirement?

Use Section Access to predefine the default selections

Create a mashup and use the API to apply default selections

Use a sheet action and apply a bookmark named ‘Default

Create bookmark and set it as default bookmark

QUESTION 26
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

QUESTION 27
Refer to the exhibit.

Refer to the exhibits.
A business analyst must add a list of temporary employees (interns) to the current sales app. The app contains an existing employees table. When the business analyst profiles the data, the association view displays possible associations as shown.
Which action should the business analyst take in Data manager to meet the requirements?

Create a concatenated key to associate the Employees and InternEmp tables

Concatenate the InternEmp table to the Employees tables within Data manager

Force an association between the InternEmp and the Orders tables

Create an association between the EmpID and EmployeelD fields

QUESTION 28
A business analyst receives an image of a dashboard from the HR Director and is asked to recreate the image in Qlik Sense. The image shows charts for:
* Company employee structure
* Average employee salary by region
* Geographical representation of office capacity
* Company retention over time
Which charts will meet these analysis requirements?

Line chart, sankey chart, map chart, bar chart

Line chart, network chart, bar chart, map chart

Map chart, grid chart, line chart, KPI chart

Map chart, org chart, line chart, bar chart

QUESTION 29
A business analyst needs to build a chart that enables users to analyze the correlation between the following measures for all products:
* Product Sales ($)
* Order Volume
* Margin%
Which visualization should the business analyst use?

Multi KPI

Combo chart

Scatter plot

Pivot table

QUESTION 30
A dashboard developer finishes creating a supply chain analysis app and is presenting it to leadership for review. The landing page shows four visualizations including:
* Bar chart showing available supply by product category
* Line chart showing total cost of deliveries to the warehouse by month-year
* Scatter plot showing cost of delivery and time-to-deliver by product
* A map that shows the volume of delivery from suppliers to warehouses using a line layer Leadership asks the developer how they can see the total cost of delivery overall. How can the analyst show this information to leadership?

Use the line chart to add up each month-year to get to the number required

Create a KPI object that shows the total cost of delivery

Adjust the line layer on the map to reflect cost of delivery

Select all products in the scatter plot to see the total delivery cost

In Qlik Sense, when leadership requests a high-level summary such as the total cost of delivery overall, the most efficient way to present this information is by using a KPI object. The KPI object is specifically designed to display a single, important metric in a simple and clear format.
A . Use the line chart to add up each month-year to get to the number required.
This option is not efficient because it requires manual effort to add up the values from the line chart for each period. Additionally, this method is prone to human error and would be time-consuming during a presentation.
B . Create a KPI object that shows the total cost of delivery.
The most appropriate action here is to use a KPI object to display the overall total cost of delivery. A KPI in Qlik Sense is specifically designed to display single, aggregate measures in a clean and concise way, making it the perfect choice for presenting high-level summaries to leadership.
C . Adjust the line layer on the map to reflect the cost of delivery.
While it is possible to adjust the map, the map is primarily used for spatial analysis. Modifying it to reflect the overall cost of delivery would not be as intuitive or effective as using a KPI object. Additionally, it could lead to unnecessary clutter and confusion for the audience.
D . Select all products in the scatter plot to see the total delivery cost.
Selecting all products in the scatter plot would not give the desired result because the scatter plot is designed to show relationships between variables (cost of delivery and time-to-deliver). It’s not ideal for displaying aggregate values like total cost.
Key Qlik Sense Business Analyst References:
KPI objects are ideal for presenting single, key metrics such as the total cost of delivery. They provide a straightforward, visually clear representation of high-level performance indicators.
Best practices in dashboard development emphasize the importance of creating specific visualizations that address both granular and high-level data needs. KPI objects fulfill the need for high-level summaries, particularly in leadership presentations.
Thus, the best way to show the total cost of delivery to leadership is to create a KPI object.

QUESTION 31
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

QUESTION 32
A business analyst is creating a new app with sales dat
a. The visualizations must meet several requirements:
A Bar chart that shows sales by product group is used in multiple sheets
* A KPI object that visualizes that the total amount of sales is used once
* A Treemap that shows margin by product group is used one time inside a Container Which visualization should be added to the master items library?

Container

KPI

Bar chart

Treemap

QUESTION 33
Refer to the exhibit.

The users of a Qlik Sense app report slow performance. The app contains approximately 10 million rows of dat a. The business analyst notices the following KPI master measure definition:
Left{ Trim( TransactionName), 1 ) * Right ( TransactionName, 5) Which steps should the business analyst complete to improve app performance?

Ask the developer of the underlying database to change the structure of the field TransactionName.

* In the Data manager, use the Split function to split the field values with the underscore character as the separator.
* In the Data manager, use the Add calculated field function to multiply the 1st and the 3rd column of the split field.
* Reload the data.

Change the master measure definition as follows:
subfield( TransactionName, ”,!)* subfieldl TransactionName, ‘ ‘, 3)

In the Data manager, use the Replace function to remove the middle part of the field TransactionName

The app is experiencing performance issues due to inefficient calculations in a master measure that processes the field TransactionName, which has a complex structure (e.g., “1_ABCDEFGHI_23454”). Let’s analyze the available options and why Option B is the best solution.
A . Ask the developer of the underlying database to change the structure of the field TransactionName.
While modifying the data structure in the underlying database might improve performance, this approach is not ideal. It’s a time-consuming process that might not be feasible, especially when working with large datasets that have already been integrated into the Qlik Sense app. The performance improvement should focus on optimizing the Qlik app itself.
B . In the Data manager, use the Split function to split the field values with the underscore character as the separator. In the Data manager, use the Add calculated field function to multiply the 1st and the 3rd column of the split field. Reload the data.
This is the most efficient approach. By using the Split function in the Data Manager to break down the TransactionName field based on the underscore separator, the data becomes more accessible for calculations. You can then create a calculated field that multiplies the first and third components of the split data (corresponding to the 1st part and the numeric identifier at the end). This reduces the need for complex string manipulation functions (e.g., Left, Right, Trim) within the master measure, which can be resource-intensive when applied to large datasets.
C . Change the master measure definition as follows: subfield( TransactionName, ”,!) * subfield( TransactionName, ”, 3) This option suggests using the subfield() function to split the string within the master measure itself. While this approach is valid, it doesn’t provide as significant a performance improvement compared to pre-processing the data in the Data Manager. Calculating fields directly within the visualizations is more computationally expensive compared to handling it during the data load phase.
D . In the Data manager, use the Replace function to remove the middle part of the field TransactionName.
The Replace function would remove the middle section of the transaction name, but it doesn’t address the need to split the field for efficient multiplication. It would also result in a loss of important data that may be required for other analyses.
Key Qlik Sense Business Analyst References:
The Data Manager provides powerful tools for transforming and optimizing data before it is used in visualizations. Pre-processing the data using functions like Split significantly reduces the load on front-end visualizations.
Splitting fields during the data load rather than in the master measures improves performance, especially in large datasets where string manipulation functions in visualizations can degrade performance.
Calculated fields allow analysts to create new expressions based on transformed data, ensuring that the app remains efficient while meeting analytical needs.
Thus, the correct solution is to use the Split function to separate the field values and then use a calculated field to multiply the required components, which enhances app performance.

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