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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q11-Q16):

NEW QUESTION # 11
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.

A. Enable Keeping member names visible
B. Freeze Up to row
C. Freeze Up to column
D. Enable Auto-Size And Page Table Vertically

Answer: B,C

NEW QUESTION # 12
What source system can you connect to with a live connection?

A. SAP SuccessFactors
B. SAP ERP Central Component
C. SAP Business ByDesign Analytics
D. SAP Datasphere

Answer: D

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 # 13
Where can you change a data lock status? Note: There are 2 correct answers to this question.

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

Answer: A,B

NEW QUESTION # 14
You are using a live connection for a model. Where is the data stored?

A. SAP Analytics Cloud model
B. Embedded data set
C. Public dataset
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 # 15
What can you use to organize dimensions into logical categories in a live model?

A. Value driver tree
B. Level-based hierarchy
C. Groups
D. Parent-child hierarchy

Answer: D

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 # 16
......

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C-SAC-2501 Dumps Guide - C-SAC-2501 Reliable Dump

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q11-Q16):

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