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SAP C_SAC_2415 Exam Syllabus Topics:
Topic
Details
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
- 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 3
- 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.
Topic 4
- 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 5
- 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.
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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q40-Q45):
NEW QUESTION # 40
What features are supported by data analyzer? Note: There are 3 correct answers to this question.
- A. Linked dimensions
- B. Charts
- C. Calculated measures
- D. Input controls
- E. Conditional formatting
Answer: B,C,E
NEW QUESTION # 41
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 distribution
- C. Use two hierarchies
- D. Dis-able allocations
Answer: C
NEW QUESTION # 42
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 # 43
You need to delete characters from a column in a dataset. What can you use? Note: There are 2 correct answers to this question.
- A. Transform bar
- B. Formula bar
- C. Custom expression editor
- D. Calculation editor
Answer: A,C
NEW QUESTION # 44
What must you use to transform data in a dataset using if/then/else logic?
- A. Transform bar
- B. Formula bar
- C. Calculations editor
- D. Custom expression editor
Answer: D
Explanation:
To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom expression editor. This tool allows you to write complex logical conditions and perform conditional data transformations. The steps involved are:
Open the dataset you want to transform.
Navigate to the "Custom expression editor".
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud. For example:
IF([Sales] > 1000, "High", "Low")
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference:
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation
NEW QUESTION # 45
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