FREE PDF 2025 C-SAC-2415: TRUSTABLE RELEVANT SAP CERTIFIED ASSOCIATE - DATA ANALYST - SAP ANALYTICS CLOUD EXAM DUMPS

Free PDF 2025 C-SAC-2415: Trustable Relevant SAP Certified Associate - Data Analyst - SAP Analytics Cloud Exam Dumps

Free PDF 2025 C-SAC-2415: Trustable Relevant SAP Certified Associate - Data Analyst - SAP Analytics Cloud Exam Dumps

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SAP C-SAC-2415 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Connections and Data Preparation: This section targets data integration specialists and preparers. It involves identifying the various methods SAC employs to access data and understanding the appropriate use cases for each.
Topic 2
  • Performance, Troubleshooting, and Security Management: This section is designed for system administrators and security managers. It involves identifying performance issues, understanding their causes and solutions, and explaining the security model of SAP Analytics Cloud.
Topic 3
  • Story Design: This section assesses the skills of data analysts and report designers. It includes the design and presentation of stories within SAC, with a focus on configuring story elements such as pages, tables, charts, and widgets.
Topic 4
  • Data Modeling, Analysis, and Integration: This section evaluates the expertise of professionals in data modeling and analytics. It emphasizes the creation and configuration of models within SAP Analytics Cloud (SAC), detailing the role and functionalities of the Data Analyzer, and integrating SAC with external applications.
Topic 5
  • Planning: This section measures the proficiency of planning and financial analysts in utilizing SAP Analytics Cloud’s enterprise planning features. It covers working with planning models and stories, configuring data actions, managing versions, and conducting forecasting and simulations.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q13-Q18):

NEW QUESTION # 13
You are creating a styling rule for a table. What is the context?

  • A. The highest level in the table
  • B. The location of the cursor
  • C. The most granular level in the table
  • D. The table header

Answer: B


NEW QUESTION # 14
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. Dis-able distribution
  • B. Use two properties
  • C. Use two hierarchies
  • D. Dis-able allocations

Answer: C

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 # 15
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. Dis-able distribution
  • B. Use two properties
  • C. Use two hierarchies
  • D. Dis-able allocations

Answer: C


NEW QUESTION # 16
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.

  • A. Use a calculated member
  • B. Use a dimension hierarchy
  • C. Use a story calculated measure
  • D. Use a model converted measure

Answer: A,B


NEW QUESTION # 17
How can you limit the refresh time of a story?

  • A. Create calculated measures
  • B. Implement a value driver tree
  • C. Use canvas pages
  • D. Collapse the hierarchy

Answer: D

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.
Reference:
SAP Analytics Cloud Help Documentation: Improving Story Performance
SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance


NEW QUESTION # 18
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