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

Answer(s): D

Explanation:

A scatter plot is the best choice for visualizing outliers, clustering, and products that are above the median sales volume. Scatter plots are excellent for showing relationships between two variables (like sales volume and margin %) while providing the ability to highlight outliers. By using K-Means clustering to color the products, the business analyst can visually group similar products. Additionally, adding a median sales volume reference line makes it easy to identify which products are above or below the median.
Key Concepts:
Scatter Plot: This visualization is ideal for detecting outliers and understanding the distribution and clustering of data points.
K-Means Clustering: This technique groups similar data points (products) based on their values, which helps to identify patterns visually.
Median Reference Line: Adding a reference line for median sales volume ensures that the analyst can easily see which products are performing above or below the median.
Why the Other Options Are Less Suitable:
A . Pivot table: While a pivot table could show aggregated data, it is not as effective for visualizing outliers or clustering as a scatter plot.
B . Treemap: A treemap can show hierarchical relationships but is not as effective for identifying clusters or outliers.
C . Combo chart: A combo chart is not as well-suited for visualizing clustering and outliers as a scatter plot.
References for Qlik Sense Business Analyst:
Outliers and Clustering Visualization: Qlik Sense recommends scatter plots for visualizing relationships between two measures and for detecting outliers and clustering in the data. Thus, creating a scatter plot with K-Means clustering and a median sales volume reference line is the best approach, making D the verified answer.

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QUESTION: 18

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

Answer(s): A

Explanation:

To meet the requirement of dynamically changing the number of countries and cities displayed in the visualizations, the business analyst should use variables to control the number of countries and cities shown. By creating two variables (vCountry and vCity), the analyst can use sliders to allow the user to adjust the maximum number of countries (up to 10) and cities (up to 5 per country) that are displayed. These variables can then be applied to each visualization to control the displayed data.
Key Concepts:

Variables: Variables allow users to dynamically adjust values in Qlik Sense visualizations. In this case, sliders can be used to change the number of countries and cities displayed. Slider Object: Adding a slider enables users to easily adjust the values of the variables vCountry and vCity in a user-friendly manner.
Why the Other Options Are Less Suitable:
B . Input field and dimension limitation: This option is unnecessarily complex and doesn't provide the same dynamic control as using variables and sliders.
C . Input field without sliders: While input fields could work, sliders offer a more intuitive way for users to adjust the values dynamically.
D . Sheet action: Setting a sheet action to limit the data displayed is less flexible and doesn't provide the same dynamic interaction as using variables and sliders.
References for Qlik Sense Business Analyst:
Dynamic Visualizations with Variables: Qlik Sense recommends using variables and interactive objects like sliders to give users control over dynamic data visualizations. Thus, the most effective solution is to create variables and use sliders to dynamically control the number of countries and cities, making A the correct answer.

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QUESTION: 19

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

Answer(s): C

Explanation:

The best approach to allow users to frequently adjust the profit threshold in the visualization is to use a variable controlled by a variable slider. This method allows each user to adjust the threshold value independently without requiring any changes to the data model or the visualization itself. Given that the user base consists of heavy Excel users, using a slider provides a familiar and intuitive way to interact with the threshold.
Key Concepts:
Variables and Sliders: Variables can be used to store threshold values, and sliders provide an easy way for users to adjust those variables interactively. User Interaction: A variable slider is a user-friendly option for adjusting thresholds frequently, especially for users who are accustomed to working with data interactively.
Why the Other Options Are Less Suitable:
A . Threshold field with a filter pane: This option is less flexible and doesn't allow the same dynamic interaction as a variable and slider.
B . Shared spreadsheet and frequent app reloads: This approach is inefficient and would increase the load on the system unnecessarily. It is also less user-friendly for frequent threshold adjustments. D . Bucket function: The Bucket function is not appropriate for this case, as it creates static groupings, which would not allow the user to adjust the threshold dynamically.
References for Qlik Sense Business Analyst:
Interactive Thresholds with Variables: Qlik Sense's variables and slider objects provide the best mechanism for dynamically controlling thresholds in a visualization. Thus, introducing a variable for the threshold and controlling it with a variable slider is the best solution, making C the correct answer.

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QUESTION: 20

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

Answer(s): D

Explanation:

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.

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