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| Topic |
Details |
| 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.
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| Topic 2 |
- Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.
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| Topic 3 |
- Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
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| Topic 4 |
- 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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| 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.
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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q38-Q43):
NEW QUESTION # 38
What account types use the average rate type? Note: There are 2 correct answers to this question.
- A. INC
- B. AST
- C. LEQ
- D. EXP
Answer: A,D
NEW QUESTION # 39
Where can you change a data lock status? Note: There are 2 correct answers to this question.
- A. Value lock management
- B. Calendar task
- C. Data action
- D. Multi action
Answer: B,D
NEW QUESTION # 40
You have a dimension with members for product groups and products. Each product group has associated products. You want to plan by product group without disaggregating into the products. How can you do this?
- A. Use two properties
- B. Dis-able allocations
- C. Dis-able distribution
- D. Use two hierarchies
Answer: D
Explanation:
When you have a dimension with members for product groups and associated products and want to plan by product group without disaggregating into the individual products, using two hierarchies is the best approach. One hierarchy can represent the product groups at a higher level, allowing for planning and analysis at the group level. The second hierarchy can include both the product groups and their associated individual products for more detailed analysis when needed. This approach provides flexibility in planning and analyzing data at different levels of detail without the necessity of disaggregating data at the product group level.
Reference:
SAP Analytics Cloud Help Documentation: Hierarchies in Planning
SAP Analytics Cloud User Guide: Managing Hierarchies for Planning
NEW QUESTION # 41
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.
- A. Complex formatting
- B. Many hyperlinks
- C. Many story filters
- D. Many data sources
- E. Large calculation scope
Answer: A,C,D
NEW QUESTION # 42
Which dimension type can you use like a measure?
- A. Date
- B. Account
- C. Entity
- D. Organization
Answer: B
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 # 43
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