NEW C-SAC-2501 TEST SIMULATOR - C-SAC-2501 RELIABLE EXAM SIMS

New C-SAC-2501 Test Simulator - C-SAC-2501 Reliable Exam Sims

New C-SAC-2501 Test Simulator - C-SAC-2501 Reliable Exam Sims

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SAP C-SAC-2501 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
Topic 2
  • 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.
Topic 3
  • 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 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
  • Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.

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The SAP Certified Associate - Data Analyst - SAP Analytics Cloud certification exam is a valuable asset for beginners and seasonal professionals. If you want to improve your career prospects then C-SAC-2501 certification is a step in the right direction. Whether you’re just starting your career or looking to advance your career, the C-SAC-2501 Certification Exam is the right choice. With the C-SAC-2501 certification you can gain a range of career benefits which include credibility, marketability, validation of skills, and access to new job opportunities.

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

NEW QUESTION # 13
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?

  • A. Share with View access
  • B. Create a Review task for the story
  • C. Add a Comment widget to the story
  • D. Include the story in a Discussion

Answer: A


NEW QUESTION # 14
Which dimension type can you use like a measure?

  • A. Organization
  • B. Date
  • C. Entity
  • D. Account

Answer: D

Explanation:
In SAP Analytics Cloud, the Account dimension can be used similarly to a measure. This dimension is specifically designed for financial data and can hold various types of financial metrics, such as revenues, expenses, assets, and liabilities. It allows for the application of financial calculations and aggregations, which is why it can function similarly to measures in the context of financial reporting and analysis.
Reference:
SAP Analytics Cloud Help Documentation: Understanding Dimensions and Measures SAP Analytics Cloud User Guide: Working with Account Dimensions


NEW QUESTION # 15
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

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

Answer: C,D

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 # 16
You want to save your data analyzer result. What is it saved as?

  • A. Dataset
  • B. Insight
  • C. Story
  • D. Model

Answer: B


NEW QUESTION # 17
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

  • A. Input data
  • B. Drill down on data
  • C. Filter data
  • D. Create cross-calculation

Answer: B,C

Explanation:
In Data Analyzer, users can perform various tasks to analyze their data, including filtering data and drilling down on data. Filtering allows users to narrow down the dataset to focus on specific subsets of data, enhancing the analysis's relevancy. Drilling down provides the ability to explore data at a more granular level, revealing deeper insights into the data points and trends within the larger dataset.
Reference:
SAP Analytics Cloud Help Documentation: Data Analyzer Usage
SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer


NEW QUESTION # 18
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