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Valid C-SAC-2421 Study Guide & C-SAC-2421 Accurate Test
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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q53-Q58):
NEW QUESTION # 53
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. Add the month as a suffix to the Year measure.
- B. Includes the Year measure in a level-based time hierarchy in the dataset.
- 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 # 54
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 # 55
What can you use to organize dimensions into logical categories in a live model?
- A. Value driver tree
- B. Level-based hierarchy
- C. Parent-child hierarchy
- D. Groups
Answer: C
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 # 56
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. Standalone
- B. Embedded
- C. Analytic
- D. Planning
Answer: C,D
NEW QUESTION # 57
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 # 58
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