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SAP C-SAC-2501 Exam Syllabus Topics:
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NEW QUESTION # 17
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. Append
- B. Aggregate To
- C. Signflip
- D. Unbooked
Answer: C
NEW QUESTION # 18
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?
- A. Redistribute
- B. Driver
- C. Distribute
- D. Reference
Answer: B
Explanation:
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
NEW QUESTION # 19
What can you use input controls for in a story? Note: There are 2 correct answers to this question.
- A. Selecting an alternate data source
- B. Filtering data on a page
- C. Changing dimensions or measures displayed in a table
- D. Implementing row-level and column-level security in a table
Answer: B,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 # 20
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. Mass
- B. Fluid
- C. Single
Answer: B
NEW QUESTION # 21
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?
- A. Cardinality
- B. Level
- C. Granularity
- D. Hierarchy
Answer: A
NEW QUESTION # 22
How can you limit the refresh time of a story?
- A. Implement a value driver tree
- B. Use canvas pages
- C. Create calculated measures
- D. Collapse the hierarchy
Answer: D
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 # 23
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.
- A. Use a story calculated measure
- B. Use a calculated member
- C. Use a dimension hierarchy
- D. Use a model converted measure
Answer: B,C
NEW QUESTION # 24
You input new data for a private version in a story. What must you do to ensure the new data is added to the model?
- A. Publish
- B. Send
- C. Save
- D. Nothing
Answer: A
Explanation:
When inputting new data for a private version in a story in SAP Analytics Cloud, it is necessary to "Publish" the data to ensure it is added to the model. Publishing the private version commits the changes to the underlying model, making the new data visible and accessible to other users according to their permissions. This step is crucial for ensuring that the updated data is incorporated into the shared model for further analysis and decision-making.
Reference:
SAP Analytics Cloud Help Documentation: Private Versions and Publishing SAP Analytics Cloud User Guide: Working with Private Versions in Stories
NEW QUESTION # 25
You are using a live connection for a model. Where can you define data security?
- A. SAP Analytics Cloud role
- B. Data access control
- 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 # 26
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 # 27
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 distribution
- C. Use two hierarchies
- D. Dis-able allocations
Answer: C
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 # 28
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.
- A. Complex formatting
- B. Many hyperlinks
- C. Large calculation scope
- D. Many story filters
- E. Many data sources
Answer: A,D,E
NEW QUESTION # 29
You have a column chart in a story. You notice some of the labels are missing until you mouse over the data point. How can you ensure that the labels are always visible?
- A. Increase the overall size of the chart widget on the page
- B. Select the Avoid Data Label Overlap checkbox
- C. Increase the font size of the axis labels
Answer: B
Explanation:
To ensure that labels are always visible on a column chart in a story, you should select the "Avoid Data Label Overlap" checkbox in the chart's settings. This option adjusts the labels' positioning to prevent overlap, making them visible at all times without the need for mouse-over interaction.
Reference:
SAP Analytics Cloud Help Documentation: Chart Design and Label Management SAP Analytics Cloud User Guide: Enhancing Data Label Visibility in Charts
NEW QUESTION # 30
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. Planning
- C. Standalone
- D. Embedded
Answer: A,B
NEW QUESTION # 31
You input new data for a private version in a story. What must you do to ensure the new data is added to the model?
- A. Publish
- B. Send
- C. Save
- D. Nothing
Answer: A
Explanation:
When inputting new data for a private version in a story in SAP Analytics Cloud, it is necessary to "Publish" the data to ensure it is added to the model. Publishing the private version commits the changes to the underlying model, making the new data visible and accessible to other users according to their permissions. This step is crucial for ensuring that the updated data is incorporated into the shared model for further analysis and decision-making.
Reference:
SAP Analytics Cloud Help Documentation: Private Versions and Publishing SAP Analytics Cloud User Guide: Working with Private Versions in Stories
NEW QUESTION # 32
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 IF statements
- D. Use fewer FOREACH functions
- E. Use fewer data functions
Answer: C,D,E
NEW QUESTION # 33
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.
- A. Undo button
- B. Explorer
- C. Composites
- D. Linked widgets diagram
- E. Grid pages
Answer: A,C,D
NEW QUESTION # 34
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. Cloud
- D. Import
Answer: A,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 # 35
Which automatically created dimension type can you delete from an analytic data model?
- A. Version
- B. Generic
- C. Date
- D. Organization
Answer: B
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 # 36
What must you use to transform data in a dataset using if/then/else logic?
- A. Calculations editor
- B. Transform bar
- C. Custom expression editor
- D. Formula bar
Answer: C
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 # 37
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
- A. Imported data model
- B. Standalone dataset
- C. Embedded data set
- D. Live data model
- E. Data analyzer insight
Answer: A,B,C
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 # 38
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