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Title: C_SAC_2501 Exam Outline & Study C_SAC_2501 Center [Print This Page]
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Title: C_SAC_2501 Exam Outline & Study C_SAC_2501 Center
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SAP C_SAC_2501 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.
Topic 2
  • 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 3
  • 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 4
  • Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
Topic 5
  • 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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q38-Q43):NEW QUESTION # 38
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.
Answer: B,C

NEW QUESTION # 39
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.
Answer: B,D

NEW QUESTION # 40
You need to delete characters from a column in a dataset. What can you use? Note: There are 2 correct answers to this question.
Answer: A,D

NEW QUESTION # 41
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.
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 # 42
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?
Answer: C
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 # 43
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