
Ultimate Guide to Prepare Free SAP C-SAC-2415 Exam Questions and Answer
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SAP C-SAC-2415 Exam Syllabus Topics:
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NEW QUESTION # 12
What can you do with a multi action? Note: There are 2 correct answers to this question.
- A. Import transaction data
- B. Run allocation processes
- C. Run allocation data actions
- D. Approve data
Answer: A,C
NEW QUESTION # 13
What can you use to perform cell-based calculations in a story?
- A. Restricted measures
- B. Dimension formulas
- C. Table formulas
- D. Calculated measures
Answer: C
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 # 14
What can you use to organize dimensions into logical categories in a live model?
- A. Level-based hierarchy
- B. Parent-child hierarchy
- C. Groups
- D. Value driver tree
Answer: B
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 # 15
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. Nothing
- B. Save
- C. Publish
- D. Send
Answer: C
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 # 16
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.
- A. Difference From
- B. Restricted Measure
- C. Date Difference
- D. Aggregation
Answer: A,B
NEW QUESTION # 17
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. Dis-able allocations
- 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 # 18
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 dimension hierarchy
- C. Use a model converted measure
- D. Use a calculated member
Answer: B,D
NEW QUESTION # 19
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.
- A. Freeze Up to row
- B. Enable Keeping member names visible
- C. Freeze Up to column
- D. Enable Auto-Size And Page Table Vertically
Answer: A,C
NEW QUESTION # 20
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 font size of the axis labels
- B. Increase the overall size of the chart widget on the page
- C. Select the Avoid Data Label Overlap checkbox
Answer: C
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 # 21
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. Custom expression editor
- C. Calculation editor
- D. Formula bar
Answer: A,B
NEW QUESTION # 22
What source system can you connect to with a live connection?
- A. SAP Business ByDesign Analytics
- B. SAP Datasphere
- C. SAP SuccessFactors
- D. SAP ERP Central Component
Answer: B
Explanation:
SAP Analytics Cloud can establish a live connection with various source systems, including SAP Datasphere. This allows for real-time data access and analysis without the need to replicate data into the cloud, which is beneficial for scenarios where data privacy and security are paramount.
Reference:
SAP Analytics Cloud Connection Guide1
SAC Live and Import Connection Overview2
SAP Analytics Cloud: Expand Live Data Source Options3
Live connection in SAP Analytics Cloud: advantages and challenges4
Explaining Where the Data Comes From - SAP Learning5
NEW QUESTION # 23
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. Select fluid data entry mode in the story.
- D. Enable unbooked data in the story.
Answer: A,C
NEW QUESTION # 24
How can you limit the refresh time of a story?
- A. Implement a value driver tree
- B. Create calculated measures
- C. Use canvas pages
- 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 # 25
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. Change the Year measure to a dimension in the dataset.
- C. Add the month as a suffix to the Year measure.
- D. Insert a character into the Year measure using the transform bar.
Answer: B
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 # 26
Where can you create a blank planning version?
- A. In the version dimension
- B. In a data cell
- C. In version management
- D. In the planning model
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 # 27
You are using a live connection for a model. Where is the data stored?
- A. Public dataset
- B. Embedded data set
- C. SAP Analytics Cloud model
- D. Source system
Answer: D
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 # 28
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. Embedded
- C. Analytic
- D. Standalone
Answer: A,C
NEW QUESTION # 29
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