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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	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	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 5	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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q45-Q50):

NEW QUESTION # 45
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.

A. Use fewer FOREACH functions
B. Use fewer data functions
C. Use fewer MEMBERSET statements
D. Use fewer aggregation dimension functions
E. Use fewer IF statements

Answer: A,B,E

NEW QUESTION # 46
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.

A. Use conditional formatting
B. Avaid tables with more than 500 rows and 60 columns
C. Avaid prompts
D. Use responsive pages
E. Load widgets in the background

Answer: A,B,E

NEW QUESTION # 47
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

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

Answer: A,C,E

NEW QUESTION # 48
What must you use to transform data in a dataset using if/then/else logic?

A. Calculations editor
B. Formula bar
C. Custom expression editor
D. Transform bar

Answer: C

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 # 49
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

A. Live data model
B. Standalone dataset
C. Imported data model
D. Data analyzer insight
E. Embedded data set

Answer: B,C,E

Explanation:
In SAP Analytics Cloud, data concatenation can be performed on Embedded datasets, Standalone datasets, and Imported data models. This process involves combining data from multiple sources or tables into a single dataset or model, providing a unified view of the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.
Reference:
SAP Analytics Cloud Help Documentation: Working with Datasets
SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets

NEW QUESTION # 50
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