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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q37-Q42):

NEW QUESTION # 37
What is required to use version management in a story?

A. Planning model
B. Analytic model
C. Classic mode
D. Optimized mode

Answer: A

Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning

NEW QUESTION # 38
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.

A. Organization
B. Date
C. Version
D. Entity

Answer: B,C

Explanation:
In a planning data model in SAP Analytics Cloud, the Date and Version dimensions are included by default. The Date dimension is essential for time-based planning and analysis, while the Version dimension allows for the creation and management of different data scenarios, such as budget, forecast, and actuals. These dimensions provide a foundational structure for planning activities within the model.
Reference:
SAP Analytics Cloud Help Documentation: Planning Data Model Basics
SAP Analytics Cloud User Guide: Understanding Default Dimensions in Planning Models

NEW QUESTION # 39
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. Large calculation scope
C. Many hyperlinks
D. Many data sources
E. Many story filters

Answer: A,D,E

NEW QUESTION # 40
Where can you change a data lock status? Note: There are 2 correct answers to this question.

A. Value lock management
B. Calendar task
C. Data action
D. Multi action

Answer: B,D

NEW QUESTION # 41
You are using a live connection for a model. Where is the data stored?

A. Embedded data set
B. Source system
C. Public dataset
D. SAP Analytics Cloud model

Answer: B

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 # 42
......

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q37-Q42):

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