SAP C_SAC_2421 Exam Dumps-Shortcut To Success
SAP C_SAC_2421 Exam Dumps-Shortcut To Success
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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q33-Q38):
NEW QUESTION # 33
What can you do with a multi action? Note: There are 2 correct answers to this question.
- A. Run allocation processes
- B. Approve data
- C. Run allocation data actions
- D. Import transaction data
Answer: C,D
NEW QUESTION # 34
You are using a live connection for a model. Where is the data stored?
- A. SAP Analytics Cloud model
- B. Public dataset
- C. Embedded data set
- 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 # 35
What can you use to organize dimensions into logical categories in a live model?
- A. Level-based hierarchy
- B. Parent-child hierarchy
- C. Value driver tree
- D. Groups
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 # 36
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. Insert a character into the Year measure using the transform bar.
- B. Includes the Year measure in a level-based time hierarchy in the dataset.
- C. Change the Year measure to a dimension in the dataset.
- D. Add the month as a suffix to the Year measure.
Answer: C
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 # 37
You want to save your data analyzer result. What is it saved as?
- A. Model
- B. Story
- C. Insight
- D. Dataset
Answer: C
NEW QUESTION # 38
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