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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

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

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

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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q41-Q46):

NEW QUESTION # 41
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.

A. Table
B. Chart
C. Composite
D. Lane

Answer: A,B

Explanation:
In SAP Analytics Cloud stories, conditional formatting can be applied to Table and Chart elements. This feature allows users to visually highlight data points based on specific conditions, such as thresholds, ranges, or comparisons, making it easier to identify trends, outliers, or areas of interest within the data presented in tables and charts.
Reference:
SAP Analytics Cloud Help Documentation: Conditional Formatting
SAP Analytics Cloud User Guide: Applying Conditional Formatting to Tables and Charts

NEW QUESTION # 42
Which dimension type can you use like a measure?

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

Answer: C

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
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?

A. Create a group that includes the dimensions.
B. Convert the embedded dataset to a model.
C. Create a level-based hierarchy in the dataset.
D. Create a parent-child hierarchy in the dataset.

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 # 44
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

A. Many hyperlinks
B. Complex formatting
C. Many story filters
D. Many data sources
E. Large calculation scope

Answer: B,C,D

NEW QUESTION # 45
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.

A. Enable unbooked data in the story.
B. Set Size Limits for Planning Performance in the model.
C. Enable Optimize Recommended Planning Area in the model.
D. Select fluid data entry mode in the story.

Answer: C,D

NEW QUESTION # 46
......

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