C_SAC_2415 RELIABLE BRAINDUMPS SHEET - STUDY C_SAC_2415 TOOL

C_SAC_2415 Reliable Braindumps Sheet - Study C_SAC_2415 Tool

C_SAC_2415 Reliable Braindumps Sheet - Study C_SAC_2415 Tool

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SAP C_SAC_2415 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 4
  • 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 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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q24-Q29):

NEW QUESTION # 24
You are using a live connection for a model. Where can you define data security?

  • A. Source system
  • B. Data access control
  • C. SAP Analytics Cloud role
  • D. SAP Analytics Cloud model

Answer: A

Explanation:
When using a live connection in SAP Analytics Cloud, data security is defined and managed within the source system. This approach leverages the existing security protocols and permissions set up in the source system, ensuring that data governance and access controls remain consistent and are centrally managed. Users accessing data through SAP Analytics Cloud with a live connection will be subject to the same security constraints and permissions as if they were accessing the data directly from the source system. This integration ensures a unified security model, simplifying administration and ensuring data security and compliance.


NEW QUESTION # 25
Your embedded dataset in SAP Analytics Cloud has columns for Country, Region, City, and Customer Name. You want to aggregate measures for these columns as a single column. What can you do?

  • A. Create a level-based hierarchy in the dataset.
  • B. Create a parent-child hierarchy in the dataset.
  • C. Convert the embedded dataset to a model.
  • D. Create a group that includes the dimensions.

Answer: A

Explanation:
To aggregate measures for columns such as Country, Region, City, and Customer Name as a single column in an embedded dataset, creating a level-based hierarchy is the most effective approach. This type of hierarchy allows you to define a multi-level structure that represents the logical relationship between different geographical entities and customer names. By doing so, you can easily perform aggregations and analyze data at various levels of detail, from the broadest level (e.g., Country) down to the most specific one (e.g., Customer Name).
Reference:
SAP Analytics Cloud Help Documentation: Creating Hierarchies in Models
SAP Analytics Cloud User Guide: Data Modeling and Hierarchies


NEW QUESTION # 26
How can you limit the refresh time of a story?

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

Answer: C

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 # 27
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.

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

Answer: A,B,E


NEW QUESTION # 28
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

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

Answer: A,C

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 # 29
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