QUESTION: 13

The VP of Sales asks a business analyst to include a KPI object on the sales dashboard that shows total sales value for the year 2022, regardless of selections. Existing fields in the data model include Sales and Year.
How should the business analyst write the measure for the KPI object?

Sum( { < year="|" '2022,="" }="" /> } Sales)
Sum( { $ < year="{" '2022*="" )="" /> } Sales)
Sum( { 1 < year="{" '2022'="" )="M /> ) Sales)
Sum( 1 { < year="(" '2022'="" )="" /> ) Sales)

Answer(s): C

Explanation:

In this scenario, the VP of Sales wants to see the total sales for the year 2022 regardless of selections. This requirement is best handled using Set Analysis in Qlik Sense. The key to achieving this is using the set identifier 1, which ignores the user's selections and ensures the calculation is based on the entire dataset. The expression Sum( { 1 < year = { '2022' } > } Sales) calculates the sum of sales for the year 2022, irrespective of any other selections made in the app.
Key Concepts:
Set Identifier 1: This identifier ensures that the calculation is performed on the entire dataset, ignoring any selections or filters applied by the user. Year Filtering: The expression < year = { '2022' } > ensures that only sales from the year 2022 are included in the calculation.
Why the Other Options Are Less Suitable:
A . Sum( { < year = '2022' > } Sales): This is incorrectly formatted, and the pipe (|) symbol should not be used in this context.
B . Sum( { $ < year = { '2022' } > } Sales): The $ set identifier respects the current selections, which is not what is needed in this case, as the VP wants the value to be shown regardless of selections. D . Sum( 1 { < year = { '2022' } > } Sales): The placement of 1 is incorrect in this expression.
References for Qlik Sense Business Analyst:
Set Analysis: Qlik Sense's Set Analysis allows analysts to control what data is used in a calculation, regardless of user selections. The set identifier 1 ensures that selections are ignored, which is essential for showing fixed data such as total sales for a specific year. Thus, the correct expression to show the total sales for 2022, regardless of user selections, is C.

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QUESTION: 14

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?

CY Revenue, LY Revenue, CY Cost
CY Revenue, LY Revenue, Cost
Revenue and Cost
Revenue and CY Cost

Answer(s): 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.

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QUESTION: 15

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

Answer(s): B

Explanation:

In Qlik Sense, data connections are reusable objects that allow multiple apps to connect to the same data sources. To leverage existing connections, the business analyst should go to the Data Load Editor and select the desired connection from the list of available connections. This ensures that the analyst uses the same data sources, promoting consistency across apps.
Key Concepts:
Data Connections: Qlik Sense allows users to create and manage connections to external data sources. These connections can be reused across multiple applications. Data Load Editor: This is where existing data connections can be accessed and used in new applications, streamlining the data loading process.
Why the Other Options Are Less Suitable:
A . Copy the script from the old application and paste it into the new application's script editor:
While this could work, it's not the most efficient method, as it doesn't reuse the existing data connection object, and it's prone to errors.
C . Export the data connection from the old application and import it into the new one: Qlik Sense doesn't require exporting and importing data connections since they are already available globally for reuse across apps.
D . Use a Qlik Sense extension to search and replicate data connections: This is unnecessary because Qlik Sense already allows direct access to existing data connections through the Data Load Editor.
References for Qlik Sense Business Analyst:
Reusing Data Connections: One of the key features of Qlik Sense is its ability to reuse data connections across apps, which helps maintain consistency and reduces the need for redundant setups.
Thus, the correct approach is to access the Data Load Editor and select the pre-existing data connection, making B the verified answer.

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QUESTION: 16

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

Answer(s): C

Explanation:

A combo chart is the most suitable visualization to show the value of sales for each month along with a rolling 3-month summary. The combo chart allows you to combine different types of visualizations, such as bars for monthly sales values and a line for the rolling 3-month summary. This provides a clear comparison and tracking of sales trends over time.
Key Concepts:
Rolling Summary: In this case, a 3-month rolling summary can be shown as a line measure in the combo chart, while the sales values for each month can be shown as bars. Combo Chart: This visualization is ideal for comparing multiple measures on the same axis, such as individual sales values and aggregated rolling summaries.
Why the Other Options Are Less Suitable:
A . Scatter plot: A scatter plot is used to display the relationship between two variables, not to show time-based trends or rolling summaries.
B . Mekko chart: Mekko charts are used for categorical data and comparisons across categories, not for time-based analysis.
D . Pie chart: Pie charts are best suited for showing parts of a whole and are not appropriate for visualizing time-based data or rolling summaries.
References for Qlik Sense Business Analyst:
Combo Charts for Time Series Data: Combo charts are highly recommended when there is a need to compare different types of measures (like individual sales vs. rolling averages) over time in Qlik Sense.
Thus, a combo chart provides the most effective solution for showing both monthly sales values and the rolling 3-month summary, making C the correct answer.

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