C-SAC-2415 PREP TORRENT - SAP CERTIFIED ASSOCIATE - DATA ANALYST - SAP ANALYTICS CLOUD EXAM TORRENT & C-SAC-2415 TEST BRAINDUMPS

C-SAC-2415 Prep Torrent - SAP Certified Associate - Data Analyst - SAP Analytics Cloud Exam Torrent & C-SAC-2415 Test Braindumps

C-SAC-2415 Prep Torrent - SAP Certified Associate - Data Analyst - SAP Analytics Cloud Exam Torrent & C-SAC-2415 Test Braindumps

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SAP C-SAC-2415 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 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
  • 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.

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

NEW QUESTION # 13
How can you limit the refresh time of a story?

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

Answer: A

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 # 14
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 BusinessObjects Universe
  • C. SAP Datasphere model
  • D. SAP HANA view
  • E. SAP Analytics Cloud analytic model

Answer: C,D,E


NEW QUESTION # 15
You are creating a styling rule for a table. What is the context?

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

Answer: D


NEW QUESTION # 16
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. Add the month as a suffix to the Year measure.
  • B. Insert a character into the Year measure using the transform bar.
  • C. Change the Year measure to a dimension in the dataset.
  • D. Includes the Year measure in a level-based time hierarchy in the dataset.

Answer: C

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.


NEW QUESTION # 17
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. Dimensions
  • B. Measures
  • C. Calculations
  • D. Hierarchies

Answer: A,B

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


NEW QUESTION # 18
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