Free SAP C_SACS_2321 Practice Exam with Questions & Answers | Set: 2

Chart scaling is a feature that ensures that you have a meaningful display of values across multiple charts in a story. By default, charts are not scaled, which can lead to incorrect data analysis, particularly if users are not paying attention to the actual values displayed in the chart1.

Chart scaling is applied to the following:

• Specific page: Chart scaling is applied to all of the charts on a page, but the scaling may be different for the same measure on different pages, because the scaling factor is calculated separately for each page1.
• Specific measure: Chart scaling is applied to a specific measure in a chart, and it affects all the charts that contain that measure on the same page. You can exclude charts from the scaling by selecting the chart and choosing Exclude from Scaling in the context menu1.

Chart scaling is not applied to the following:

• All measures: Chart scaling is not applied to all the measures in a story, only to the ones that are selected for scaling. You can select which measures to scale by choosing Scale Measures in the context menu of any chart on a page1.
• All pages: Chart scaling is not applied to all the pages in a story, only to the ones that have scaling enabled. You can enable or disable scaling for a page by choosing Enable Scaling or Disable Scaling in the context menu of any chart on a page1.

When you create a new story and select a responsive page, you are offered the choice of Optimized or Classic Design Experience. This choice determines the design mode that you will use to create your story. The Optimized Design Experience is the newer and more advanced design option that offers several usability improvements and performance enhancements compared to the Classic Design Experience. However, the Optimized Design Experience also has some limitations and differences, such as the unavailability of some elements that are present in the Classic Design Experience1. Therefore, you should choose the design mode that best suits your needs and preferences. You can also switch between the design modes later, but you may lose some features or formatting in the process2.

References:

1: Choosing Between Optimized and Classic Design Modes - SAP Learning 2: Switching Between Optimized and Classic Design Modes - SAP Learning

Unbooked is the term that refers to dimension members with no numeric data values associated with them. For example, if a dimension has members A, B, C, and D, and only A and B have numeric values in a measure column, then C and D are unbooked members. Booked, transformed, and exception aggregation are not terms that describe dimension members. Verified References: [SAP Analytics Cloud - Unbooked Data]

Linked Analysis is a feature that allows you to link multiple widgets in a story based on the same model. You can use Linked Analysis to do the following:

• Filter data in multiple widgets by selecting a data point in one widget. For example, if you select Soft Drinks in a chart, all the other linked widgets will show data for Soft Drinks only.
• Drill down or up in multiple widgets by changing the level of detail in one widget. For example, if you drill down from Product Category to Product Name in a table, all the other linked widgets will show data for Product Name as well.
• Highlight data in multiple widgets by hovering over a data point in one widget. For example, if you hover over Germany in a geo map, all the other linked widgets will highlight the data for Germany.

To use Linked Analysis, you need to have the following:

• Multiple widgets based on the same model. You can link any type of widget, such as charts, tables, geo maps, etc., as long as they are based on the same model.
• A common dimension or measure between the widgets. You can link widgets based on any dimension or measure that they share in common.

You do not need to have the following for Linked Analysis:

• Multiple stories. You can use Linked Analysis within the same story. You cannot link widgets across different stories.
• Multiple data models. You can use Linked Analysis with one model only. You cannot link widgets based on different models.
• Multiple pages. You can use Linked Analysis within the same page. You cannot link widgets across different pages.

Therefore, the correct answer is Multiple widgets, as it is the necessary element for Linked Analysis. Verified References:

• : Link Widgets with Linked Analysis

The Optimized Design Experience is a new design option for creating stories in SAP Analytics Cloud. It offers several usability improvements and performance enhancements compared to the Classic Design Experience. However, it also has some limitations and differences, such as the unavailability of some elements that are present in the Classic Design Experience1.

The following filter options are supported in the Optimized Design Experience:

• Input Control: This option allows you to add interactive filters to a story page that allow the story viewers to filter data, compare figures, and explore relationships directly from the page. You can use the Input Controls tool in the Tools section to select dimensions or measures that you want to use as input controls2.
• Cascading: This option allows you to create a hierarchy of input controls that depend on each other. You can use this option to filter data based on multiple levels of a dimension, such as Country, Region, and City. You can also use this option to filter data based on different dimensions that are related, such as Product Category and Product Name3.
• Section: This option is not a filter option, but a way of organizing a story into different parts based on a dimension. A section creates a separate page for each member of the dimension, and displays the same widgets on each page with the data filtered by the section dimension. Sections are available in both the Optimized and Classic Design Experiences4.

The other options are not supported in the Optimized Design Experience, because:

• Advanced: This option allows you to create complex filters using logical operators, such as AND, OR, and NOT. You can use this option to filter data based on multiple conditions or expressions, such as Revenue > 1000 AND Profit Margin < 10%. Advanced filters are available only in the Classic Design Experience.
• Controls: This option is not a valid filter option in SAP Analytics Cloud. It may refer to input controls, which are supported, or chart controls, which are not supported. Chart controls are buttons that allow you to change the chart type, switch between absolute and relative values, or drill up and down in a hierarchy. Chart controls are available only in the Classic Design Experience.

References:

1: Choosing Between Optimized and Classic Design Modes - SAP Learning 2: Using Input Controls - SAP Learning 3: Creating Cascading Input Controls - SAP Learning 4: CreatingSections - SAP Learning : [Advanced Filters - SAP Learning] : [Chart Controls - SAP Learning]

When you are adding a calculation to a table, you can choose from two options: Single or Multiple. The option determines how many new columns are added to the table based on the calculation. The options are:

• Single: Adds one new column to the table with the calculation result for the selected dimension member. For example, if you select Soft Drinks and choose Single, you will get one new column with the calculation result for Soft Drinks only.
• Multiple: Adds multiple new columns to the table with the calculation result for each dimension member. For example, if you select Soft Drinks and choose Multiple, you will get three new columns with the calculation result for Soft Drinks, Juice, and Alcohol.

Therefore, the correct answer is Selected dimension member, as it is the option that the new column is added to when you choose Single. Verified References:

• : Create Calculations in Tables

When you save a story as a template, you can use it as a starting point for creating new stories with the same layout and formatting. However, all the data from the original story is removed and replaced by placeholders for charts, tables, maps, input controls, and value driver trees. This way, you can easily add new data sources and models to the template without affecting the existing ones1. Custom formatting, such as story background, chart color palettes, fonts, and borders, is retained in the template2. Custom widgets, such as images, shapes, texts, and buttons, are also preserved in the template3. Standard widgets, such as charts, tables, maps, input controls, and value driver trees, are converted into empty placeholders that can be filled with new data3.

References:

1: Create and Use Story Templates 2: Story Templates in SAP Analytics Cloud 3: Building Stories from a Template

You can define a calculation for a table in three ways:

• Table: You can add a simple calculation by selecting two measures in a table, right-clicking, choosing Add calculation, and choosing the calculation you want. You can also add a repeating or single column or row to a table by right-clicking on a measure or dimension and choosing Add Calculation1.
• Calculation editor: You can open the calculation editor from the drop-down menu of Measures or Dimensions in the Designer Panel and create complex calculations for a chart or table. For each type of calculation, a new calculated member is created. You can also use dimension attributes as part of a calculation2.
• Story: You can create a calculated measure in the Builder pane of a story. When setting up your calculation, you apply the typical formula functions, conditions, and operators to the data contained in your model. Calculated measures allow you to perform mathematical and Boolean operations on your data1.

References:

1: Calculating Data in Stories - SAP Learning 2: SAP Analytics Cloud In-story Calculation Series – An Introduction