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SAP C_SAC_2415 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 2
- 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.
Topic 3
- 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 4
- 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 5
- 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.
SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q35-Q40):
NEW QUESTION # 35
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Calculations
- B. Dimensions
- C. Measures
- D. Hierarchies
Answer: B,C
Explanation:
In SAP Analytics Cloud, a data model must contain at least "Dimensions" and "Measures" to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models
NEW QUESTION # 36
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.
- A. Use a dimension hierarchy
- B. Use a story calculated measure
- C. Use a model converted measure
- D. Use a calculated member
Answer: A,D
NEW QUESTION # 37
What can you use input controls for in a story? Note: There are 2 correct answers to this question.
- A. Filtering data on a page
- B. Implementing row-level and column-level security in a table
- C. Changing dimensions or measures displayed in a table
- D. Selecting an alternate data source
Answer: A,C
Explanation:
Input controls in a story in SAP Analytics Cloud can be used for changing dimensions or measures displayed in a table and for filtering data on a page. Input controls provide a way for users to interactively modify the view of the data, such as selecting which dimensions or measures to display, or filtering the entire page's content based on selected criteria, enhancing the interactivity and flexibility of data analysis within stories.
Reference:
SAP Analytics Cloud Help Documentation: Input Controls in Stories
SAP Analytics Cloud User Guide: Using Input Controls for Data Interaction
NEW QUESTION # 38
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. Use two hierarchies
- C. Dis-able allocations
- D. Dis-able distribution
Answer: B
NEW QUESTION # 39
Which automatically created dimension type can you delete from an analytic data model?
- A. Generic
- B. Organization
- C. Date
- D. Version
Answer: A
Explanation:
In an analytic data model within SAP Analytics Cloud, the automatically created dimension type that you can delete is the Generic dimension. This type of dimension is typically used for custom or ad-hoc categorizations and, unlike system-generated dimensions like Date or Version, can be modified or removed as per the specific needs of your data model and analysis requirements.
Reference:
SAP Analytics Cloud Help Documentation: Data Model Dimensions
SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models
NEW QUESTION # 40
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