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C_SAC_2421
SAP Certified Associate - Data Analyst - SAP Analytics Cloud Questions and Answers

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Questions # 1:

You have a live data model with two dimensions: Firstname and Lastname. Users want a single

dimension in the data model that displays the dimensions as Lastname, Firstname. What must you

do?

Options:

Create the combined data in the source system.

Create a calculated dimension in the data model.

Create a calculated dimension in the story.

Group the Firstname and Lastname in the data model.

Answer

Explanation

To combine two dimensions, Firstname and Lastname, into a single dimension displaying as Lastname, Firstname in a live data model, you should create a calculated dimension in the data model. This calculated dimension will concatenate the two fields into one, according to the specified format. This approach allows for the creation of a new dimension that can be used across various reports and analyses within the model, maintaining the integrity of the original dimensions.

References:

SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions

SAP Analytics Cloud User Guide: Data Modeling Best Practices

Questions # 2:

You are creating a script for an advanced data action. Which character designates a virtual

variable member?

Options:

Answer

Questions # 3:

How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to

this question.

Options:

Select fluid data entry mode in the story.

Enable Optimize Recommended Planning Area in the model.

Set Size Limits for Planning Performance in the model.

Enable unbooked data in the story.

Answer

A, B

Questions # 4:

You want to use an input control to filter data appearing in a story. At what level is the filter applied?

Options:

Calculation

Page

Component

Story

Answer

Explanation

When using an input control to filter data in a SAP Analytics Cloud story, the filter is applied at the Page level. This means that the selected filter criteria will affect all the components (tables, charts, etc.) on that particular page, allowing for a cohesive and consistent view of the data filtered according to the chosen parameters.

References:

SAP Analytics Cloud Help Documentation: Filtering Data with Input Controls

SAP Analytics Cloud User Guide: Page-Level Filtering in Stories

Questions # 5:

Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There

are 3 correct answers to this question.

Options:

SAP Analytics Cloud public dataset

SAP HANA view

SAP Datasphere model

SAP Analytics Cloud analytic model

SAP BusinessObjects Universe

Answer

B, C, D

Questions # 6:

You are designing a new story. You want the size and position of widgets to adjust

dynamically for viewing on different devices and screen sizes. Which page type must you use?

Options:

Grid

Responsive

Composite

Canvas

Answer

Explanation

For designing a new story in SAP Analytics Cloud where the size and position of widgets need to adjust dynamically for different devices and screen sizes, the Responsive pagetype should be used. Responsive pages automatically adapt to the screen size of the device they are viewed on, providing an optimal viewing experience across desktops, tablets, and smartphones.

References:

SAP Analytics Cloud Help Documentation: Responsive Design in Stories

SAP Analytics Cloud User Guide: Building Responsive Pages

Questions # 7:

Which automatically created dimension type can you delete from an analytic data model?

Options:

Version

Date

Organization

Generic

Answer

Explanation

In an analytic data model within SAP Analytics Cloud, the automatically created dimension type that you can delete is the Generic dimension. This type of dimension is typically used for custom or ad-hoc categorizations and, unlike system-generateddimensions like Date or Version, can be modified or removed as per the specific needs of your data model and analysis requirements.

References:

SAP Analytics Cloud Help Documentation: Data Model Dimensions

SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models

Questions # 8:

In which types of data source can you concatenate data? Note: There are 3 correct answers to

this question.

Options:

Embedded data set

Live data model

Data analyzer insight

Standalone dataset

Imported data model

Answer

A, D, E

Explanation

In SAP Analytics Cloud, data concatenation can be performed on Embedded datasets, Standalone datasets, and Imported data models. This process involves combining data from multiple sources or tables into a single dataset or model, providing a unified view of the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.

References:

SAP Analytics Cloud Help Documentation: Working with Datasets

SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets

Questions # 9:

Your users need to analyze data in a story. What kinds of data models can you create? Note: There

are 2 correct answers to this question.

Options:

Standalone

Embedded

Planning

Analytic

Answer

C, D

Questions # 10:

What is required to use version management in a story?

Options:

Planning model

Classic mode

Analytic model

Optimized mode

Answer

Explanation

Version management in SAP Analytics Cloud stories requires a Planning model. This feature enables users to create and manage different versions of their data, such as budget, forecast, and actual versions. Planning models provide the necessary structure and functionality for versioning, allowing for comparisons and what-if analyses within the story.

References:

SAP Analytics Cloud Help Documentation: Version Management in Planning

SAP Analytics Cloud User Guide: Using Planning Models for Versioning

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