STUDY C_SAC_2501 TOOL, TEST C_SAC_2501 QUESTIONS PDF

Study C_SAC_2501 Tool, Test C_SAC_2501 Questions Pdf

Study C_SAC_2501 Tool, Test C_SAC_2501 Questions Pdf

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SAP C_SAC_2501 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Performance, Troubleshooting, and Security Management: This section measures the skills of IT Administrators and covers performance, troubleshooting, and security management, making up less than 10% of the exam. It focuses on optimizing performance, resolving issues, and ensuring data security in data visualization environments.
Topic 2
  • Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.
Topic 3
  • Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
Topic 4
  • Story Design: This section of the exam measures the skills of Data Analysts and covers story design concepts, accounting for The focus on creating effective visualizations and narratives using data.
Topic 5
  • Connections and Data Preparation: This section targets Data Engineers and covers connections and data preparation, The focus is on connecting to data sources and preparing data for visualization.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q49-Q54):

NEW QUESTION # 49
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.

  • A. Forecast
  • B. Actual
  • C. Predictive
  • D. Budget

Answer: A,B


NEW QUESTION # 50
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. On-premise
  • B. Live
  • C. Import
  • D. Cloud

Answer: B,C

Explanation:
SAP Analytics Cloud supports two primary types of data connections: Live Data Connection and Import Data Connection. Live Data Connection establishes a direct link to the data source, allowing real-time data access without replicating the data into SAP Analytics Cloud. This is ideal for scenarios where up-to-the-minute data is crucial, and data volume is large. On the other hand, Import Data Connection involves copying data from the source into SAP Analytics Cloud, which is suitable for scenarios where data doesn't change frequently, or there's a need for data transformation and enrichment within SAP Analytics Cloud.
Reference:
SAP Analytics Cloud Help Documentation: Data Connections Overview
SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios


NEW QUESTION # 51
You want to use an input control to filter data appearing in a story. At what level is the filter applied?

  • A. Page
  • B. Calculation
  • C. Component
  • D. Story

Answer: A

Explanation:
When using an input control to filter data in a SAP Analytics Cloud story, the filter is applied at the Page level. This means that the selected filter criteria will affect all the components (tables, charts, etc.) on that particular page, allowing for a cohesive and consistent view of the data filtered according to the chosen parameters.
Reference:
SAP Analytics Cloud Help Documentation: Filtering Data with Input Controls SAP Analytics Cloud User Guide: Page-Level Filtering in Stories


NEW QUESTION # 52
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.

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

Answer: B,D,E


NEW QUESTION # 53
What can you use to organize dimensions into logical categories in a live model?

  • A. Parent-child hierarchy
  • B. Level-based hierarchy
  • C. Groups
  • D. Value driver tree

Answer: A

Explanation:
In a live model within SAP Analytics Cloud, dimensions can be organized into logical categories using either level-based hierarchies or parent-child hierarchies. Level-based hierarchies are used when the relationships between items are defined by distinct levels, such as Geography might be divided into Country, State, and City levels. Parent-child hierarchies, on the other hand, are useful when the data's hierarchy is not strictly defined by levels but by a parent relationship where a child member is associated with a parent member, which is common in organizational structures or product categories.
Reference:
SAP Analytics Cloud Help Documentation: Creating and Managing Hierarchies SAP Analytics Cloud User Guide: Working with Models


NEW QUESTION # 54
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