(Oct-2025) C-SAC-2501 Exam Dumps Contains FREE Real Quesions from the Actual Exam
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SAP C-SAC-2501 Exam Syllabus Topics:
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NEW QUESTION # 37
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?
- A. Fluid
- B. Single
- C. Mass
Answer: A
NEW QUESTION # 38
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.
- A. Enable Keeping member names visible
- B. Freeze Up to row
- C. Enable Auto-Size And Page Table Vertically
- D. Freeze Up to column
Answer: B,D
NEW QUESTION # 39
You are creating a script for an advanced data action. Which character designates a virtual variable member?
- A. %
- B. *
- C. /
- D. #
Answer: A
NEW QUESTION # 40
Which SAP Analytics Cloud feature uses natural language processing?
- A. Smart insight
- B. Digital boardroom
- C. Just Ask feature
- D. Data analyzer
Answer: C
NEW QUESTION # 41
Where can you change a data lock status? Note: There are 2 correct answers to this question.
- A. Calendar task
- B. Multi action
- C. Data action
- D. Value lock management
Answer: A,B
NEW QUESTION # 42
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 MEMBERSET statements
- C. Use fewer aggregation dimension functions
- D. Use fewer data functions
- E. Use fewer IF statements
Answer: A,D,E
NEW QUESTION # 43
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
- A. Standalone dataset
- B. Data analyzer insight
- C. Embedded data set
- D. Live data model
- E. Imported data model
Answer: A,C,E
Explanation:
In SAP Analytics Cloud, data concatenation can be performed on Embedded datasets, Standalone datasets, and Imported data models. This process involves combining data from multiple sources or tables into a single dataset or model, providing a unified view of the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.
Reference:
SAP Analytics Cloud Help Documentation: Working with Datasets
SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets
NEW QUESTION # 44
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. Dis-able allocations
- C. Dis-able distribution
- D. Use two hierarchies
Answer: D
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 # 45
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.
- A. Input data
- B. Create cross-calculation
- C. Filter data
- D. Drill down on data
Answer: C,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 # 46
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.
- A. Enable Optimize Recommended Planning Area in the model.
- B. Set Size Limits for Planning Performance in the model.
- C. Enable unbooked data in the story.
- D. Select fluid data entry mode in the story.
Answer: A,D
NEW QUESTION # 47
You want to save your data analyzer result. What is it saved as?
- A. Dataset
- B. Model
- C. Story
- D. Insight
Answer: D
NEW QUESTION # 48
What can you use input controls for in a story? Note: There are 2 correct answers to this question.
- A. Filtering data on a page
- B. Selecting an alternate data source
- C. Changing dimensions or measures displayed in a table
- 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 # 49
What can you use to organize dimensions into logical categories in a live model?
- A. Level-based hierarchy
- B. Value driver tree
- 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 # 50
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. Planning
- B. Standalone
- C. Embedded
- D. Analytic
Answer: A,D
NEW QUESTION # 51
The SAP Analytics Cloud (SAC) modeler has removed the first three characters from an SAP Analytics Cloud public dimension imported from a source system. What is impacted by this change?
- A. Embedded data sets
- B. Source system
- C. Public datasets
- D. Stories
Answer: D
Explanation:
When the SAP Analytics Cloud (SAC) modeler removes the first three characters from a public dimension imported from a source system, this change impacts Stories that use this dimension. Specifically, any visualizations, calculations, or filters within those stories that rely on the original dimension values may need to be adjusted to account for the change. This modification does not affect the source system or public datasets directly, but it can impact how the data appears and behaves in stories that use the modified dimension.
Reference:
SAP Analytics Cloud Help Documentation: Modifying Dimensions
SAP Analytics Cloud User Guide: Impact of Dimension Changes on Stories
NEW QUESTION # 52
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 must create a new dataset.
- C. You can schedule the dataset to update on a regular basis.
- D. You must manually reimport the data.
Answer: C
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 # 53
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