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C_SAC_2415 Practice Questions

Question # 1
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.
A. Undo button
B. Grid pages
C. Linked widgets diagram
D. Composites
E. Explorer


A. Undo button
C. Linked widgets diagram
D. Composites



Question # 2
Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.
A. SAP Analytics Cloud public dataset
B. SAP HANA view
C. SAP Datasphere model
D. SAP Analytics Cloud analytic model
E. SAP BusinessObjects Universe


B. SAP HANA view
C. SAP Datasphere model
D. SAP Analytics Cloud analytic model



Question # 3
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.
A. Use a dimension hierarchy
B. Use a calculated member
C. Use a story calculated measure
D. Use a model converted measure


A. Use a dimension hierarchy
B. Use a calculated member



Question # 4
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. Change the Year measure to a dimension in the dataset.
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. Add the month as a suffix to the Year measure.


A. Change the Year measure to a dimension in the dataset.

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.



Question # 5
What source system can you connect to with a live connection?
A. SAP ERP Central Component
B. SAP SuccessFactors
C. SAP Business ByDesign Analytics
D. SAP Datasphere


D. SAP Datasphere

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.

References:

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


Question # 6
How can you limit the refresh time of a story?
A. Use canvas pages
B. Collapse the hierarchy
C. Create calculated measures
D. Implement a value driver tree


B. Collapse the hierarchy

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.

References:
SAP Analytics Cloud Help Documentation: Improving Story Performance

SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance


Question # 7
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
A. Calculations
B. Dimensions
C. Measures
D. Hierarchies


B. Dimensions
C. Measures

Explanation:

In SAP Analytics Cloud, a data model must contain at least "Dimensions" and "Measures" to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.

References:

SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models


Question # 8
Which SAP Analytics Cloud feature uses natural language processing?
A. Digital boardroom
B. Data analyzer
C. Smart insight
D. Just Ask feature


C. Smart insight



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SAP C_SAC_2415 Exam Dumps

Exam Name: SAP Certified Associate - Data Analyst - SAP Analytics Cloud
Certification Name: SAP Certified Associate

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  • Total Questions: 60
  • Last Updation Date: 17-Mar-2025

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