EXAM C-SAC-2415 BRAINDUMPS, EXAM DISCOUNT C-SAC-2415 VOUCHER

Exam C-SAC-2415 Braindumps, Exam Discount C-SAC-2415 Voucher

Exam C-SAC-2415 Braindumps, Exam Discount C-SAC-2415 Voucher

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SAP C-SAC-2415 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
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
  • 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 5
  • 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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q17-Q22):

NEW QUESTION # 17
Where can you create a blank planning version?

  • A. In the planning model
  • B. In version management
  • C. In the version dimension
  • D. In a data cell

Answer: B

Explanation:
A blank planning version in SAP Analytics Cloud can be created within the Version Management feature. This area of the platform allows users to manage different versions of their data, such as budgets, forecasts, and what-if scenarios. Creating a blank version provides a clean slate for planning activities, without pre-existing data, enabling users to start fresh with their assumptions and inputs.
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Creating New Versions for Planning


NEW QUESTION # 18
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.

  • A. Undo button
  • B. Composites
  • C. Explorer
  • D. Linked widgets diagram
  • E. Grid pages

Answer: A,B,D


NEW QUESTION # 19
Where can you change a data lock status? Note: There are 2 correct answers to this question.

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

Answer: B,D


NEW QUESTION # 20
You have a dataset that extracts data from an SAP Business Warehouse (SAP BW) system. The data in the SAP BW system changes. How can you update the dataset?

  • A. You must refresh the story that uses the dataset.
  • B. You can schedule the dataset to update on a regular basis.
  • C. You must create a new dataset.
  • D. You must manually reimport the data.

Answer: B

Explanation:
For datasets that extract data from external systems like SAP Business Warehouse (SAP BW), SAP Analytics Cloud provides the capability to schedule updates on a regular basis. This feature ensures that the dataset within SAP Analytics Cloud remains up-to-date with the latest changes from the SAP BW system, without the need for manual reimport or creating a new dataset. Scheduled updates can be configured to run at specific intervals, automating the data refresh process.
Reference:
SAP Analytics Cloud Help Documentation: Scheduling Data Refresh
SAP Analytics Cloud User Guide: Automating Dataset Updates from External Sources


NEW QUESTION # 21
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.

  • A. Use fewer aggregation dimension functions
  • B. Use fewer MEMBERSET statements
  • C. Use fewer FOREACH functions
  • D. Use fewer data functions
  • E. Use fewer IF statements

Answer: C,D,E


NEW QUESTION # 22
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