[Apr 06, 2025] Lesson Brilliant PDF for the C_SAC_2415 Tests Free Updated Today [Q35-Q51]

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[Apr 06, 2025] Lesson Brilliant PDF for the C_SAC_2415 Tests Free Updated Today

Get New 2025 Valid Practice SAP Certified Associate C_SAC_2415 Q&A – Testing Engine

NEW QUESTION 35
You want to total several income and expense accounts using the account type property.
What configuration option in the advanced formula must you use?

Unbooked

Append

Signflip

Aggregate To

NEW QUESTION 36
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

Large calculation scope

Many story filters

Many hyperlinks

Complex formatting

Many data sources

NEW QUESTION 37
What can you do with a multi action? Note: There are 2 correct answers to this question.

Run allocation data actions

Import transaction data

Approve data

Run allocation processes

NEW QUESTION 38
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.

Aggregation

Date Difference

Restricted Measure

Difference From

NEW QUESTION 39
Which dimension type can you use like a measure?

Account

Date

Organization

Entity

In SAP Analytics Cloud, the Account dimension can be used similarly to a measure. This dimension is specifically designed for financial data and can hold various types of financial metrics, such as revenues, expenses, assets, and liabilities. It allows for the application of financial calculations and aggregations, which is why it can function similarly to measures in the context of financial reporting and analysis.
Reference:
SAP Analytics Cloud Help Documentation: Understanding Dimensions and Measures SAP Analytics Cloud User Guide: Working with Account Dimensions

NEW QUESTION 40
Which programming language is used for scripting in an SAP Analytics Cloud story?

Python

Wrangling Expression Language

ABAP

JavaScript

NEW QUESTION 41
You have a dimension with members for product groups and products. Each product group has associated products. You want to plan by product group without disaggregating into the products. How can you do this?

Use two properties

Dis-able allocations

Use two hierarchies

Dis-able distribution

When you have a dimension with members for product groups and associated products and want to plan by product group without disaggregating into the individual products, using two hierarchies is the best approach. One hierarchy can represent the product groups at a higher level, allowing for planning and analysis at the group level. The second hierarchy can include both the product groups and their associated individual products for more detailed analysis when needed. This approach provides flexibility in planning and analyzing data at different levels of detail without the necessity of disaggregating data at the product group level.
Reference:
SAP Analytics Cloud Help Documentation: Hierarchies in Planning
SAP Analytics Cloud User Guide: Managing Hierarchies for Planning

NEW QUESTION 42
You are creating a styling rule for a table. What is the context?

The most granular level in the table

The highest level in the table

The table header

The location of the cursor

NEW QUESTION 43
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.

Use responsive pages

Avaid tables with more than 500 rows and 60 columns

Load widgets in the background

Use conditional formatting

Avaid prompts

NEW QUESTION 44
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

Live

On-premise

Cloud

Import

SAP Analytics Cloud supports two primary types of data connections: Live Data Connection and Import Data Connection. Live Data Connection establishes a direct link to the data source, allowing real-time data access without replicating the data into SAP Analytics Cloud. This is ideal for scenarios where up-to-the-minute data is crucial, and data volume is large. On the other hand, Import Data Connection involves copying data from the source into SAP Analytics Cloud, which is suitable for scenarios where data doesn’t change frequently, or there’s a need for data transformation and enrichment within SAP Analytics Cloud.
Reference:
SAP Analytics Cloud Help Documentation: Data Connections Overview
SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios

NEW QUESTION 45
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

Input data

Filter data

Drill down on data

Create cross-calculation

In Data Analyzer, users can perform various tasks to analyze their data, including filtering data and drilling down on data. Filtering allows users to narrow down the dataset to focus on specific subsets of data, enhancing the analysis’s relevancy. Drilling down provides the ability to explore data at a more granular level, revealing deeper insights into the data points and trends within the larger dataset.
Reference:
SAP Analytics Cloud Help Documentation: Data Analyzer Usage
SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer

NEW QUESTION 46
You have a story based on an import model. The transaction data in the model’s data source changes. How can you update the data in the model? Note: There are 2 correct answers to this question.

Allow model import

Refresh the story

Refresh the import job

Schedule the import

To update the data in a model based on an import connection, two main approaches can be used:
Refresh the story: This action forces SAP Analytics Cloud to reload the data for the visualizations in a story, pulling in the most recent data available in the model. This is a manual process initiated by the user.
Schedule the import: This option allows users to set up a recurring data import schedule, ensuring the model is regularly updated with the latest data from the source system. This automated process helps maintain data freshness without manual intervention.
Both methods ensure that the story reflects the most current data, accommodating changes in the transaction data of the model’s data source.

NEW QUESTION 47
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.

Undo button

Grid pages

Linked widgets diagram

Composites

Explorer

NEW QUESTION 48
What can you use input controls for in a story? Note: There are 2 correct answers to this question.

Changing dimensions or measures displayed in a table

Filtering data on a page

Selecting an alternate data source

Implementing row-level and column-level security in a table

Input controls in a story in SAP Analytics Cloud can be used for changing dimensions or measures displayed in a table and for filtering data on a page. Input controls provide a way for users to interactively modify the view of the data, such as selecting which dimensions or measures to display, or filtering the entire page’s content based on selected criteria, enhancing the interactivity and flexibility of data analysis within stories.
Reference:
SAP Analytics Cloud Help Documentation: Input Controls in Stories
SAP Analytics Cloud User Guide: Using Input Controls for Data Interaction

NEW QUESTION 49
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.

Use a dimension hierarchy

Use a calculated member

Use a story calculated measure

Use a model converted measure

NEW QUESTION 50
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.

Budget

Actual

Predictive

Forecast

NEW QUESTION 51
You are creating an allocation step to distribute expenses from the HR cost center to your operating cost centers. Which dimension setting controls how much is distributed to each operating cost center?

Reference

Driver

Distribute

Redistribute

In the context of creating an allocation step to distribute expenses from the HR cost center to operating cost centers in SAP Analytics Cloud, the “Driver” dimension setting is crucial. This setting determines the basis or criteria on which the distribution is calculated and applied to each operating cost center. For instance, the driver could be the number of employees, square footage, or any other relevant metric that justifies the distribution of costs. By defining a driver, you ensure that the allocation of expenses is proportional and fair based on the selected criteria.
Reference:
SAP Analytics Cloud Help Documentation: Allocation Steps in Planning
SAP Analytics Cloud User Guide: Using Drivers for Allocation

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