C_SAC_2421 Training & Certification Get Latest SAP Certified Associate Updated on Nov 01, 2025 [Q11-Q28]

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C_SAC_2421 Training & Certification Get Latest SAP Certified Associate Updated on Nov 01, 2025

Certification Training for C_SAC_2421 Exam Dumps Test Engine


SAP C_SAC_2421 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Performance, troubleshooting, and security management: This domain covers critical aspects of maintaining and optimizing SAP Analytics Cloud environments. It assesses SAP Analytics Cloud Data Analysts' abilities in performance tuning, troubleshooting common issues, and implementing security measures.
Topic 2
  • Story Design: This section of the exam measures the skills of SAP Analytics Cloud Data Analysts and covers various aspects of story design in SAP Analytics Cloud. The exam assesses the knowledge of candidates who should be able to create effective and visually appealing stories to present data insights. This includes understanding different chart types, layout options, and interactive elements to enhance data visualization and user engagement.
Topic 3
  • Data modeling, analysis, and integration: This section focuses on the core analytical capabilities of SAP Analytics Cloud. SAP Analytics Cloud Data Analysts should demonstrate proficiency in creating and managing data models, performing advanced analysis, and integrating data from various sources. The exam assesses skills in creating calculated measures, applying filters, and using advanced analytical functions.
Topic 4
  • Planning: SAP Analytics Cloud Data Analysts are expected to demonstrate proficiency in planning within the SAP Analytics Cloud environment. The exam evaluates the ability to create and manage planning models, including setting up dimensions, accounts, and versions. Candidates should be familiar with creating planning input forms and implementing planning processes.
Topic 5
  • Connections and data preparation: This domain covers the essential skills of connecting to data sources and preparing data for analysis. SAP Analytics Cloud Data Analysts are expected to show competence in establishing connections to various data sources, including on-premise and cloud-based systems.

 

NEW QUESTION # 11
What account types use the average rate type? Note: There are 2 correct answers to this question.

  • A. AST
  • B. EXP
  • C. INC
  • D. LEQ

Answer: B,C


NEW QUESTION # 12
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?

  • A. Use two properties
  • B. Use two hierarchies
  • C. Dis-able distribution
  • D. Dis-able allocations

Answer: B

Explanation:
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 # 13
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.

  • A. Use a model converted measure
  • B. Use a story calculated measure
  • C. Use a calculated member
  • D. Use a dimension hierarchy

Answer: C,D


NEW QUESTION # 14
You are using a live connection for a model. Where is the data stored?

  • A. Source system
  • B. Public dataset
  • C. Embedded data set
  • D. SAP Analytics Cloud model

Answer: A

Explanation:
Connections and data preparation
When using a live connection in SAP Analytics Cloud, the data remains stored in the source system. This means that no data is imported or replicated into SAP Analytics Cloud; instead, it is accessed and analyzed in real-time directly from the source system. This approach ensures that the most current data is always used for analysis and that data governance and security policies of the source system remain in control.
Reference:
Live Data Connections to SAP S/4HANA | SAP Help Portal1
SAP Analytics Cloud Connection Guide2
SAP Analytics Cloud Data Connections - InsightCubes
In the context of SAP Analytics Cloud, when using a live connection to connect to a data source, the data remains stored in the source system. This setup means that SAP Analytics Cloud directly queries the data in its original location, without importing or copying it into the SAP Analytics Cloud environment. This approach is advantageous for several reasons, including maintaining a single source of truth, reducing data redundancy, and ensuring data is always up-to-date without the need for synchronization processes. Live connections are particularly useful for real-time or near-real-time data analysis and reporting, providing insights based on the most current data available without the overhead of data replication.
SAP Analytics Cloud documentation and user guides typically emphasize the benefits and use cases of live connections, highlighting how they maintain data in the source system to ensure real-time data access and analysis.
SAP training materials for Data Analysts using SAP Analytics Cloud, including study guides and official certification resources, explain the technical and practical aspects of live connections, including where data is stored and how it is accessed.
Best practice guides for SAP Analytics Cloud, often available through the SAP Community or SAP Knowledge Base, provide insights and recommendations on setting up and using live connections, reinforcing the concept that data stays in the source system.


NEW QUESTION # 15
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

  • A. Many story filters
  • B. Large calculation scope
  • C. Many data sources
  • D. Complex formatting
  • E. Many hyperlinks

Answer: A,C,D


NEW QUESTION # 16
What can you do with a multi action? Note: There are 2 correct answers to this question.

  • A. Import transaction data
  • B. Run allocation data actions
  • C. Run allocation processes
  • D. Approve data

Answer: A,B


NEW QUESTION # 17
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?

  • A. Create a calculated dimension in the story.
  • B. Create the combined data in the source system.
  • C. Create a calculated dimension in the data model.
  • D. Group the Firstname and Lastname in the data model.

Answer: C

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.
Reference:
SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions
SAP Analytics Cloud User Guide: Data Modeling Best Practices


NEW QUESTION # 18
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.

  • A. Budget
  • B. Forecast
  • C. Predictive
  • D. Actual

Answer: A,D


NEW QUESTION # 19
Which automatically created dimension type can you delete from an analytic data model?

  • A. Generic
  • B. Organization
  • C. Date
  • D. Version

Answer: A

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-generated dimensions like Date or Version, can be modified or removed as per the specific needs of your data model and analysis requirements.
Reference:
SAP Analytics Cloud Help Documentation: Data Model Dimensions
SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models


NEW QUESTION # 20
What can you use input controls for in a story? Note: There are 2 correct answers to this question.

  • A. Changing dimensions or measures displayed in a table
  • B. Selecting an alternate data source
  • C. Filtering data on a page
  • D. Implementing row-level and column-level security in a table

Answer: A,C

Explanation:
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 # 21
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.

  • A. Date
  • B. Entity
  • C. Organization
  • D. Version

Answer: A,D

Explanation:
In a planning data model in SAP Analytics Cloud, the Date and Version dimensions are included by default. The Date dimension is essential for time-based planning and analysis, while the Version dimension allows for the creation and management of different data scenarios, such as budget, forecast, and actuals. These dimensions provide a foundational structure for planning activities within the model.
Reference:
SAP Analytics Cloud Help Documentation: Planning Data Model Basics
SAP Analytics Cloud User Guide: Understanding Default Dimensions in Planning Models


NEW QUESTION # 22
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.

  • A. Add JavaScript to a button
  • B. Add a custom widget
  • C. Add a layer to a geo map
  • D. Add a popup

Answer: A,D


NEW QUESTION # 23
What type of predictive scenario can write back to a planning model?

  • A. Value driver tree
  • B. Regression
  • C. Classification
  • D. Time series forecast

Answer: D

Explanation:
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


NEW QUESTION # 24
Where can you create a blank planning version?

  • A. In the planning model
  • B. In a data cell
  • C. In version management
  • D. In the version dimension

Answer: C

Explanation:
A blank planning version in SAP Analytics Cloud can be created within the Version Management feature. This area of the platform allows users to manage different versions of their data, such as budgets, forecasts, and what-if scenarios. Creating a blank version provides a clean slate for planning activities, without pre-existing data, enabling users to start fresh with their assumptions and inputs.
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Creating New Versions for Planning


NEW QUESTION # 25
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. Live
  • B. Import
  • C. Cloud
  • D. On-premise

Answer: A,B

Explanation:
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 # 26
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.

  • A. Use fewer aggregation dimension functions
  • B. Use fewer MEMBERSET statements
  • C. Use fewer data functions
  • D. Use fewer FOREACH functions
  • E. Use fewer IF statements

Answer: C,D,E


NEW QUESTION # 27
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?

  • A. Canvas
  • B. Grid
  • C. Composite
  • D. Responsive

Answer: D

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 page type 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.
Reference:
SAP Analytics Cloud Help Documentation: Responsive Design in Stories
SAP Analytics Cloud User Guide: Building Responsive Pages


NEW QUESTION # 28
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SAP Certified Associate C_SAC_2421 Real Exam Questions and Answers FREE Updated: https://drive.google.com/open?id=1R-oVbjzwnqX-pgVqTw38Ov9WP0mwT9gL