[Q28-Q48] 2025 Updated C-SAC-2421 Tests Engine pdf - All Free Dumps Guaranteed!

2025 Updated C-SAC-2421 Tests Engine pdf - All Free Dumps Guaranteed!

Latest SAP Certified Associate C-SAC-2421 Actual Free Exam Questions

SAP C-SAC-2421 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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.
Topic 3	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 4	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 5	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.

 

NEW QUESTION # 28
You import data into a dataset. One of the columns imported is Year, and SAP Analytics Cloud interprets it as a measure. How can you ensure that it is treated as a calendar year?

• A. Includes the Year measure in a level-based time hierarchy in the dataset.
• B. Add the month as a suffix to the Year measure.
• C. Insert a character into the Year measure using the transform bar.
• D. Change the Year measure to a dimension in the dataset.

Answer: D

Explanation:
If SAP Analytics Cloud interprets a 'Year' column as a measure instead of a dimension, it should be changed to a dimension to ensure it is treated as a calendar year. This adjustment can be made within the model or dataset settings, where the column's role can be switched from a measure (quantitative value) to a dimension (qualitative value). Treating 'Year' as a dimension allows it to be used appropriately in time-based analyses, such as trends over time, without being aggregated like a numerical measure.

NEW QUESTION # 29
What can you do with a multi action? Note: There are 2 correct answers to this question.

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

Answer: A,D

NEW QUESTION # 30
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 the combined data in the source system.
• B. Group the Firstname and Lastname in the data model.
• C. Create a calculated dimension in the story.
• D. Create a calculated dimension in the data model.

Answer: D

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 # 31
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

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

Answer: B,D

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 # 32
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

• A. Filter data
• B. Drill down on data
• C. Create cross-calculation
• D. Input data

Answer: A,B

Explanation:
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 # 33
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.

• A. Enable unbooked data in the story.
• B. Set Size Limits for Planning Performance in the model.
• C. Enable Optimize Recommended Planning Area in the model.
• D. Select fluid data entry mode in the story.

Answer: C,D

NEW QUESTION # 34
Which dimension type can you use like a measure?

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

Answer: B

Explanation:
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 # 35
Where can you create a blank planning version?

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

Answer: B

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 # 36
You are creating a script for an advanced data action. Which character designates a virtual variable member?

• A. *
• B. /
• C. %
• D. #

Answer: B

NEW QUESTION # 37
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.

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

Answer: A,C

NEW QUESTION # 38
Which automatically created dimension type can you delete from an analytic data model?

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

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 # 39
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.

• A. Analytic
• B. Standalone
• C. Embedded
• D. Planning

Answer: A,D

NEW QUESTION # 40
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?

• A. Share with View access
• B. Add a Comment widget to the story
• C. Include the story in a Discussion
• D. Create a Review task for the story

Answer: B

NEW QUESTION # 41
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.

• A. Use conditional formatting
• B. Avaid tables with more than 500 rows and 60 columns
• C. Load widgets in the background
• D. Use responsive pages
• E. Avaid prompts

Answer: A,B,C

NEW QUESTION # 42
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 hierarchies
• B. Dis-able allocations
• C. Use two properties
• D. Dis-able distribution

Answer: A

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 # 43
What account types use the average rate type? Note: There are 2 correct answers to this question.

• A. INC
• B. LEQ
• C. EXP
• D. AST

Answer: A,C

NEW QUESTION # 44
What must you use to transform data in a dataset using if/then/else logic?

• A. Calculations editor
• B. Custom expression editor
• C. Formula bar
• D. Transform bar

Answer: B

Explanation:
To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom expression editor. This tool allows you to write complex logical conditions and perform conditional data transformations. The steps involved are:
Open the dataset you want to transform.
Navigate to the "Custom expression editor".
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud. For example:
IF([Sales] > 1000, "High", "Low")
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference:
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation

NEW QUESTION # 45
You are creating a styling rule for a table. What is the context?

• A. The location of the cursor
• B. The most granular level in the table
• C. The highest level in the table
• D. The table header

Answer: A

NEW QUESTION # 46
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.

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

Answer: A,B,D

NEW QUESTION # 47
Which programming language is used for scripting in an SAP Analytics Cloud story?

• A. Wrangling Expression Language
• B. ABAP
• C. JavaScript
• D. Python

Answer: C

NEW QUESTION # 48
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