Download QSBA2024 Exam Dumps Questions to get 100% Success in Qlik [Q29-Q52]

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Download QSBA2024 Exam Dumps Questions to get 100% Success in Qlik

100% Accurate Answers! QSBA2024 Actual Real Exam Questions

Qlik QSBA2024 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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.

NO.29 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?

NO.30 Two customers in an organization want to use an app that contains a finance data set. With different analysis objectives, each customer will only use a subset of that data. Which procedure should the business analyst follow?

Apply Section Access to manage the data for each customer

Create multiple visualizations using set analysis

Duplicate and rename the apps for each customer

Unpivot, then re-associate the data tables for each customer

In Qlik Sense, Set Analysis is one of the most powerful tools available to a Business Analyst for managing different subsets of data within the same app. Since both customers are working with the same finance dataset but have different objectives, creating multiple visualizations using set analysis allows the analyst to tailor the data views for each customer without duplicating the app or creating complex data models.
Key Concepts:
Set Analysis: This feature enables the creation of expressions that define subsets of data, allowing you to filter data within specific visualizations. This is ideal when multiple users need different insights from the same underlying dataset.
Flexibility: Using set analysis, you can specify conditions within individual visualizations so that each user can focus on their own segment of the data without impacting others.
Efficiency: This method avoids redundancy by ensuring you only need one app and one data model, instead of duplicating and maintaining multiple apps or applying complex logic such as Section Access.
Why the Other Options Are Less Suitable:
A . Apply Section Access: While Section Access is useful for managing security and limiting what users can see in the entire dataset, it is primarily designed to restrict data access based on user roles. In this case, both users need access to the same dataset but will conduct different analyses. Section Access would be an overly restrictive and complex solution for this scenario.
C . Duplicate and rename the apps: This is inefficient because it leads to redundancy and makes maintenance harder (e.g., any changes to the dataset or visualizations would need to be applied to both apps). It also increases the risk of inconsistencies across versions of the app.
D . Unpivot and re-associate the data tables: This option is not relevant to the problem, as unpivoting is more appropriate for transforming datasets rather than tailoring views for different users within the same app. It does not address the need for customer-specific analysis objectives.
References for Qlik Sense Business Analyst:
Set Analysis: In the Qlik Sense Business Analyst’s toolkit, Set Analysis is covered as a method to manage diverse data subsets within single apps, providing the flexibility needed in multi-user environments without duplicating content.
Efficient Application Design: Best practices suggest maintaining a single app where possible to ensure consistency and ease of maintenance, which aligns with the approach of using Set Analysis.
By using Set Analysis, you provide both customers with tailored data views that are easily managed and updated within a single app. This is why option B is the most effective and verified solution.

NO.31 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

NO.32 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?

Enable Value labels within the Presentation section of the Appearance properties

Recreate the second measure as an alternative measure

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

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

In this scenario, the second measure (Count of MajorCities) is likely not being displayed because the two measures-Sum(Knowing sections) and Count(MajorCities)-are on vastly different scales. When two measures have significantly different ranges, one of them may not be visible on the same Y-axis, causing the issue you’re seeing where no bars are visible for the second measure.
By converting the bar chart to a combo chart, the business analyst can display both measures with appropriate configurations. The combo chart allows you to display different measures in different ways, such as using one axis for the first measure (e.g., bars for Sum(Knowing sections)) and another axis for the second measure (e.g., bars for Count(MajorCities)), ensuring that both are visible on the chart.
Key Concepts:
Combo Chart: This type of chart allows you to display multiple measures using different axis scales or types of visualization (e.g., bars and lines).
Scale Mismatch: When two measures differ significantly in scale, they may not be displayed properly on the same axis. A combo chart helps by allowing separate Y-axes for each measure.
Why the Other Options Are Less Suitable:
A . Enable Value labels: While value labels can help show specific data points, they won’t resolve the issue of one measure being invisible due to scale differences.
B . Recreate as an alternative measure: This would allow switching between measures, but the requirement is to show both measures simultaneously.
C . Change Y-axis Range to Custom: While adjusting the Y-axis manually might help, it’s not the best solution because the scale difference between the two measures might still cause issues, and it would be harder to adjust dynamically.
References for Qlik Sense Business Analyst:
Combo Charts for Multiple Measures: Combo charts are recommended in Qlik Sense when you need to display multiple measures with different scales.
Thus, converting the bar chart to a combo chart ensures both measures are properly displayed, making D the correct answer.

NO.33 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

NO.34 A business analyst is developing an app that contains a data model with fields: Country, City, Sales, ProductName, and ProductCategory. The global sales manager wants to add new visualizations to this app.
The business analyst must include the following:
* Ability to dynamically change the number of countries and cities
* Display a maximum of 10 countries
* Display a maximum of 5 cities per country
Which steps should the business analyst take?

* Create two variables: vCountry and vCity
* Add a slider for vCountry and vCity max limit range
* Apply the variable to each visualization

* Add an input field for vCountry and vCity
* Set the dimension limitation to the required maximum values: 5 and 10
* Apply the variable to each visualization
* Add a bookmark Country and City

* Add an input field for vCountry and vCity
* Set the dimension limitation to the required maximum values: 5 and 10
* Apply the variable to each visualization

* Create two variables: vCountry and vCity
* Add a slider for vCountry and vCity
* Apply the variable to each visualization
* Set a sheet action that limits the data displayed

NO.35 A company has sales data where every Customer ID can be assigned to one or more Sales Account ID. Sales Accounts are assigned to one of eight Groups. The business analyst is creating an app with the following requirements:
* Each Group should have a separate sheet
* The Sales Account can only see its own customers
* The Sales Account can navigate only to the sheet for the Group assigned The business analyst has created a Section Access table, in which each Sales Account ID is assigned their CustomerlDs. Which action should the business analyst take next?

Use the Sales Account ID as a filter on the show/hide condition on the relevant sheet

Use the Group as a filter on the show/hide condition on the relevant sheet

Use the Group field within the Section Access table, then apply it to the show/hide condition of the sheets

Use the OSUser() function within the show/hide condition of the sheets to set the required visibility

NO.36 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?

Use nested IF statements to set the colors by expression for each dimension value

Define the color values in the master measures and use the color library

Select ‘By Dimension’ and ‘Persistent colors’ in the Colors property panel

Use the Fieldlndex function to set the colors by expression for each dimension value

NO.37 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

NO.38 A customer needs to demonstrate the value of sales for each month of the year with a rolling 3-month summary. Which visualization should the business analyst recommend to meet the customer’s needs?

Scatter plot

Mekko chart

Combo chart

Pie chart

NO.39 A customer is developing over 100 apps, each with several sheets that contain multiple visualizations and text objects. The customer wants to standardize all colors used every object across every app. The customer also needs to be able to change these colors quickly, as required.
Which steps should the business analyst take to make sure the color palette is easily maintained in every app?

* Design all base objects as master visualizations
* Link each object in each app to the relevant master visualization
* Adjust the data properties as required

* Develop the first app with every variation of object and visualization that will be required
* Duplicate this app to create every other app
* Remove the variations that are not required and adjust the ones needed

* Create all color expressions as variables in a text file
* Load it in each app with an include statement
* Use these variables in the color property of all objects

* Store color definitions within a .qvd file
* Have each app load this file as a data island in the model
* Have every object select its required color property from the rows within the data island

In scenarios where a customer needs to standardize colors across multiple apps and be able to update them quickly, using variables in combination with an include statement is the most flexible and maintainable approach.
A . Design all base objects as master visualizations and link each object in each app to the relevant master visualization.
While master visualizations help with consistency within a single app, they don’t offer an easy way to update all apps globally. You would need to manually update the colors in every master visualization in each app, which is not efficient for large-scale management.
B . Develop the first app with every variation of object and visualization and duplicate this app.
Duplicating apps will create maintenance challenges. Each app would need to be updated individually if colors or other settings change, which is not scalable for over 100 apps.
C . Create all color expressions as variables in a text file, load it in each app with an include statement, and use these variables in the color property of all objects.
This is the most efficient solution. By storing color definitions in a text file and loading them with an include statement, the business analyst can update the colors in one place, and these updates will be reflected across all apps that use the file. This method ensures easy maintenance and flexibility.
D . Store color definitions within a .qvd file and load it as a data island.
While using a .qvd file is possible, it’s not as straightforward as using variables and an include statement. Data islands are typically used for selection purposes, and this method would introduce unnecessary complexity in managing colors.
Key Qlik Sense Business Analyst References:
Variables are widely used in Qlik Sense for managing repeated expressions or values like colors. They can be defined once and reused throughout the app.
Include statements allow external files (like text files containing variables) to be loaded into apps, ensuring that updates made to the text file are automatically reflected in all apps that use it. This creates a flexible and scalable solution for managing standardization across multiple apps.
Thus, the best way to maintain a standardized color palette across all apps is to create all color expressions as variables in a text file and load them into each app using an include statement.

NO.40 An app needs to load a few hundred rows of data from a .csv text file. The file is the result of a concatenated data dump by multiple divisions across several countries. These divisions use different internal systems and processes, which causes country names to appear differently. For example, the United States of America appears in several places as ‘USA’, ‘U.S.A.’, or ‘US’.
For the country dimension to work properly in the app, the naming of countries must be standardized in the data model.
Which action should the business analyst complete to address this issue?

Create a calculated master dimension expression

Load a lookup table to convert values

Cleanse the source text file prior to loading

Use the Replace option in Data manager

In Qlik Sense, when dealing with inconsistent naming conventions across different systems or divisions (like the variation in country names), the best practice is to standardize the data during the loading process. Using a lookup table is the most efficient approach to achieve this. This involves loading a separate table that contains all variations of a country name along with the standardized version. During the load process, Qlik Sense can then map the varying names to a common value.
Key Concepts:
Lookup Table: A lookup table contains key-value pairs where different versions of a data element (like country names) are mapped to a single standard value. In this case, the lookup table could have entries like USA, U.S.A., US all mapped to United States of America.
Data Standardization: This is crucial in ensuring consistent analysis across datasets. By converting variations of country names into a single consistent value, the business analyst ensures that all data visualizations and analysis will treat “USA”, “US”, etc., as the same entity.
Why the Other Options Are Less Suitable:
A . Create a calculated master dimension expression: While this could theoretically work by creating a calculated expression to handle variations, it’s not scalable or maintainable, especially as new variations in country names could appear in future data loads.
C . Cleanse the source text file prior to loading: This option would require modifying the raw data files manually, which is time-consuming and not sustainable if data is frequently updated or if the number of variations is extensive.
D . Use the Replace option in Data manager: The Replace option in the Data Manager could work on a small scale, but it requires manual intervention each time, which is not efficient or sustainable when new data is loaded. Also, it’s more useful for one-off corrections than for handling systemic issues across multiple data loads.
References for Qlik Sense Business Analyst:
Data Modeling Best Practices: Lookup tables are a common approach to resolve issues of inconsistent data across multiple sources. They ensure that data is consistently represented in visualizations and reduce the need for manual intervention.
Data Cleansing During Loading: Qlik Sense allows for transformation and data cleansing during the data load process. A lookup table is part of this capability and ensures that the data loaded into the app is clean and consistent.
Using a lookup table is the most scalable and maintainable approach to standardizing country names in this scenario, which is why option B is the verified solution.

NO.41 A business analyst needs to create a visualization that compares two measures over time using a continuous scale that includes a range. The measures will be Profit and Revenue.
Which visualization should the business analyst use?

Line chart

Bullet chart

Bar chart

Scatter plot

NO.42 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.

NO.43 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

NO.44 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 Color By Expression property under Appearance

A Dimension reference line add-on

An Alternative dimension with a calculation

A reference line add-on under Properties

NO.45 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.

NO.46 A business analyst is creating an app for the sales team. The app must meet several requirements:
* Compare 10 top-performing sales representatives and the amount of sales for each
* Investigate margin percentage and total sales by each product category
* View distribution of sales amount
Which visualizations should be used for this app?

A bar chart, scatter plot, and histogram

A treemap, container, and distribution plot

A bar chart, line chart, and scatter plot

A treemap, box plot, and histogram

NO.47 A business analyst needs to create a visualization that compares two measures over time using a continuous scale that includes a range. The measures will be Profit and Revenue.
Which visualization should the business analyst use?

Scatter plot

Bullet chart

Line chart

Bar chart

NO.48 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

NO.49 A business analyst is working with a customer to refine the end user experience. The customer has the following requirements:
* Ability to provide these charts to a specific user group
* Minimize the number of navigation clicks between charts
* Achieve fastest screen response time when switching between charts
* Maximize the chart size in terms of screen real estate
Which action should the business analyst take to meet the requirements?

Use Conditional show on all charts and overlay the charts in the same location

Create a single sheet with every required chart on this single sheet

Use a container object to host the required visualizations

Create several sheets (one sheet per client) and use buttons to navigate between sheets

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