[Sep-2025] SAP C_SAC_2421 DUMPS WITH REAL EXAM QUESTIONS [Q33-Q56]

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[Sep-2025] SAP C_SAC_2421 DUMPS WITH REAL EXAM QUESTIONS

2025 New ActualCollection C_SAC_2421 PDF Recently Updated Questions


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
  • 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 3
  • 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 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
  • 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.

 

NEW QUESTION # 33
You need to delete characters from a column in a dataset. What can you use? Note: There are 2 correct answers to this question.

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

Answer: A,C


NEW QUESTION # 34
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 MEMBERSET statements
  • E. Use fewer data functions

Answer: A,B,E


NEW QUESTION # 35
How can you limit the refresh time of a story?

  • A. Implement a value driver tree
  • B. Create calculated measures
  • C. Collapse the hierarchy
  • D. Use canvas pages

Answer: C

Explanation:
Collapsing the hierarchy in a story can help limit the refresh time, as it reduces the amount of data that needs to be processed and displayed at any given time. By presenting data at a higher aggregation level initially, you can improve performance and allow users to expand specific sections of the hierarchy as needed for more detailed analysis.
Reference:
SAP Analytics Cloud Help Documentation: Improving Story Performance
SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance


NEW QUESTION # 36
What is required to use version management in a story?

  • A. Planning model
  • B. Optimized mode
  • C. Analytic model
  • D. Classic mode

Answer: A

Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning


NEW QUESTION # 37
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

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

Answer: A,C

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 # 38
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

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

Answer: A,D

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 # 39
What can you use to organize dimensions into logical categories in a live model?

  • A. Value driver tree
  • B. Level-based hierarchy
  • C. Groups
  • D. Parent-child hierarchy

Answer: D

Explanation:
In a live model within SAP Analytics Cloud, dimensions can be organized into logical categories using either level-based hierarchies or parent-child hierarchies. Level-based hierarchies are used when the relationships between items are defined by distinct levels, such as Geography might be divided into Country, State, and City levels. Parent-child hierarchies, on the other hand, are useful when the data's hierarchy is not strictly defined by levels but by a parent relationship where a child member is associated with a parent member, which is common in organizational structures or product categories.
Reference:
SAP Analytics Cloud Help Documentation: Creating and Managing Hierarchies SAP Analytics Cloud User Guide: Working with Models


NEW QUESTION # 40
You want to total several income and expense accounts using the account type property.
What configuration option in the advanced formula must you use?

  • A. Unbooked
  • B. Signflip
  • C. Aggregate To
  • D. Append

Answer: B


NEW QUESTION # 41
What can you do with a multi action? Note: There are 2 correct answers to this question.

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

Answer: B,C


NEW QUESTION # 42
You want to use an input control to filter data appearing in a story. At what level is the filter applied?

  • A. Component
  • B. Story
  • C. Calculation
  • D. Page

Answer: D

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.
Reference:
SAP Analytics Cloud Help Documentation: Filtering Data with Input Controls SAP Analytics Cloud User Guide: Page-Level Filtering in Stories


NEW QUESTION # 43
You want to display differences between measures in a chart. What can you use?

  • A. Restricted measure
  • B. Reference line
  • C. Variance
  • D. Threshold

Answer: C

Explanation:
To display differences between measures in a chart within SAP Analytics Cloud, you can use the Variance feature. Variance helps to highlight the differences or gaps between two data points or measures, making it easier to identify trends, outliers, or areas requiring attention in visual representations like charts.
Reference:
SAP Analytics Cloud Help Documentation: Variance Analysis in Charts
SAP Analytics Cloud User Guide: Displaying Measure Differences Using Variance


NEW QUESTION # 44
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.

  • A. Lane
  • B. Table
  • C. Chart
  • D. Composite

Answer: B,C

Explanation:
In SAP Analytics Cloud stories, conditional formatting can be applied to Table and Chart elements. This feature allows users to visually highlight data points based on specific conditions, such as thresholds, ranges, or comparisons, making it easier to identify trends, outliers, or areas of interest within the data presented in tables and charts.
Reference:
SAP Analytics Cloud Help Documentation: Conditional Formatting
SAP Analytics Cloud User Guide: Applying Conditional Formatting to Tables and Charts


NEW QUESTION # 45
What type of predictive scenario can write back to a planning model?

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

Answer: B

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 # 46
You are using a live connection for a model. Where can you define data security?

  • A. Data access control
  • B. SAP Analytics Cloud role
  • C. SAP Analytics Cloud model
  • D. Source system

Answer: D

Explanation:
When using a live connection in SAP Analytics Cloud, data security is defined and managed within the source system. This approach leverages the existing security protocols and permissions set up in the source system, ensuring that data governance and access controls remain consistent and are centrally managed. Users accessing data through SAP Analytics Cloud with a live connection will be subject to the same security constraints and permissions as if they were accessing the data directly from the source system. This integration ensures a unified security model, simplifying administration and ensuring data security and compliance.


NEW QUESTION # 47
Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.

  • A. SAP Analytics Cloud public dataset
  • B. SAP Datasphere model
  • C. SAP BusinessObjects Universe
  • D. SAP HANA view
  • E. SAP Analytics Cloud analytic model

Answer: B,D,E


NEW QUESTION # 48
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. Dis-able allocations
  • B. Use two hierarchies
  • C. Use two properties
  • D. Dis-able distribution

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 # 49
What can you use to perform cell-based calculations in a story?

  • A. Table formulas
  • B. Dimension formulas
  • C. Calculated measures
  • D. Restricted measures

Answer: A

Explanation:
Table formulas in SAP Analytics Cloud are used to perform cell-based calculations within a story. These formulas can be applied directly to table cells, allowing for customized calculations that are specific to the data presented in the table. This feature is particularly useful for ad-hoc analysis and when specific calculations are needed that are not covered by predefined measures or dimensions.
Reference:
SAP Analytics Cloud Help Documentation: Using Table Formulas
SAP Analytics Cloud User Guide: Cell-Based Calculations in Stories


NEW QUESTION # 50
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. Group the Firstname and Lastname in the data model.
  • B. Create a calculated dimension in the data model.
  • C. Create the combined data in the source system.
  • D. Create a calculated dimension in the story.

Answer: B

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 # 51
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. Change the Year measure to a dimension in the dataset.
  • B. Insert a character into the Year measure using the transform bar.
  • C. Add the month as a suffix to the Year measure.
  • D. Includes the Year measure in a level-based time hierarchy in the dataset.

Answer: A

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 # 52
What features are supported by data analyzer? Note: There are 3 correct answers to this question.

  • A. Linked dimensions
  • B. Conditional formatting
  • C. Calculated measures
  • D. Charts
  • E. Input controls

Answer: B,C,D


NEW QUESTION # 53
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. Embedded
  • C. Planning
  • D. Standalone

Answer: A,C


NEW QUESTION # 54
You have a dataset that extracts data from an SAP Business Warehouse (SAP BW) system. The data in the SAP BW system changes. How can you update the dataset?

  • A. You must refresh the story that uses the dataset.
  • B. You can schedule the dataset to update on a regular basis.
  • C. You must create a new dataset.
  • D. You must manually reimport the data.

Answer: B

Explanation:
For datasets that extract data from external systems like SAP Business Warehouse (SAP BW), SAP Analytics Cloud provides the capability to schedule updates on a regular basis. This feature ensures that the dataset within SAP Analytics Cloud remains up-to-date with the latest changes from the SAP BW system, without the need for manual reimport or creating a new dataset. Scheduled updates can be configured to run at specific intervals, automating the data refresh process.
Reference:
SAP Analytics Cloud Help Documentation: Scheduling Data Refresh
SAP Analytics Cloud User Guide: Automating Dataset Updates from External Sources


NEW QUESTION # 55
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.

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

Answer: B,C


NEW QUESTION # 56
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