2025 Provide Updated SAP C_SAC_2415 Dumps as Practice Test and PDF [Q13-Q27]

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2025 Provide Updated SAP C_SAC_2415 Dumps as Practice Test and PDF

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SAP C_SAC_2415 Exam Syllabus Topics:

Topic	Details
Topic 1	Performance, Troubleshooting, and Security Management: This section is designed for system administrators and security managers. It involves identifying performance issues, understanding their causes and solutions, and explaining the security model of SAP Analytics Cloud.
Topic 2	Connections and Data Preparation: This section targets data integration specialists and preparers. It involves identifying the various methods SAC employs to access data and understanding the appropriate use cases for each.
Topic 3	Data Modeling, Analysis, and Integration: This section evaluates the expertise of professionals in data modeling and analytics. It emphasizes the creation and configuration of models within SAP Analytics Cloud (SAC), detailing the role and functionalities of the Data Analyzer, and integrating SAC with external applications.
Topic 4	Story Design: This section assesses the skills of data analysts and report designers. It includes the design and presentation of stories within SAC, with a focus on configuring story elements such as pages, tables, charts, and widgets.
Topic 5	Planning: This section measures the proficiency of planning and financial analysts in utilizing SAP Analytics Cloud’s enterprise planning features. It covers working with planning models and stories, configuring data actions, managing versions, and conducting forecasting and simulations.

QUESTION 13
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

Calculations

Dimensions

Measures

Hierarchies

In SAP Analytics Cloud, a data model must contain at least “Dimensions” and “Measures” to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models

QUESTION 14
What type of predictive scenario can write back to a planning model?

Regression

Value driver tree

Classification

Time series forecast

In SAP Analytics Cloud, a Time Series Forecast predictive scenario can write back to a planning model. Time Series Forecasting leverages historical data to predict future values over a specified time horizon, using statistical or machine learning methods. This feature is particularly useful in planning and forecasting processes, where future values are predicted based on past trends and seasonality. The ability to write these forecasts back into a planning model allows for the integration of predictive insights into the planning process, enhancing decision-making and strategic planning.
Reference:
SAP Analytics Cloud Help Documentation: Predictive Scenarios and Planning SAP Analytics Cloud User Guide: Time Series Forecasting in Planning Models

QUESTION 15
Your embedded dataset in SAP Analytics Cloud has columns for Country, Region, City, and Customer Name. You want to aggregate measures for these columns as a single column. What can you do?

Create a group that includes the dimensions.

Create a level-based hierarchy in the dataset.

Create a parent-child hierarchy in the dataset.

Convert the embedded dataset to a model.

To aggregate measures for columns such as Country, Region, City, and Customer Name as a single column in an embedded dataset, creating a level-based hierarchy is the most effective approach. This type of hierarchy allows you to define a multi-level structure that represents the logical relationship between different geographical entities and customer names. By doing so, you can easily perform aggregations and analyze data at various levels of detail, from the broadest level (e.g., Country) down to the most specific one (e.g., Customer Name).
Reference:
SAP Analytics Cloud Help Documentation: Creating Hierarchies in Models
SAP Analytics Cloud User Guide: Data Modeling and Hierarchies

QUESTION 16
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?

Create a Review task for the story

Add a Comment widget to the story

Share with View access

Include the story in a Discussion

QUESTION 17
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.

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.

QUESTION 18
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.

Aggregation

Date Difference

Restricted Measure

Difference From

QUESTION 19
You are entering values for several expense accounts in a data table. Which data entry mode must you use to process the data with a delay defined in System Administration?

Fluid

Single

Mass

QUESTION 20
Where can you change a data lock status? Note: There are 2 correct answers to this question.

Data action

Value lock management

Multi action

Calendar task

QUESTION 21
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

QUESTION 22
You are creating a data action to copy data from one year to the next.In the parameter for the source year, which default setting must you change?

Level

Hierarchy

Cardinality

Granularity

QUESTION 23
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

QUESTION 24
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

QUESTION 25
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

QUESTION 26
You are creating a styling rule for a table with a hierarchy of Country, Region, and City. You want to apply the styling rule only to countries. Which level option must you use?

Self and Siblings

Self and Children

Self and Descendants

Self

To apply a styling rule only to countries in a table with a hierarchy of Country, Region, and City in SAP Analytics Cloud, you must use the “Self” level option. This option ensures that the styling rule is applied specifically to the level of the hierarchy representing countries, without affecting the styling of regions, cities, or any other hierarchical levels.
Reference:
SAP Analytics Cloud Help Documentation: Styling Hierarchical Tables
SAP Analytics Cloud User Guide: Hierarchical Styling Options

QUESTION 27
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.

Standalone

Embedded

Planning

Analytic

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