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SAP C-SAC-2415 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 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	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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q48-Q53):

NEW QUESTION # 48
What features are supported by data analyzer? Note: There are 3 correct answers to this question.

A. Charts
B. Conditional formatting
C. Calculated measures
D. Linked dimensions
E. Input controls

Answer: A,B,C

NEW QUESTION # 49
What source system can you connect to with a live connection?

A. SAP Datasphere
B. SAP ERP Central Component
C. SAP SuccessFactors
D. SAP Business ByDesign Analytics

Answer: A

Explanation:
SAP Analytics Cloud can establish a live connection with various source systems, including SAP Datasphere. This allows for real-time data access and analysis without the need to replicate data into the cloud, which is beneficial for scenarios where data privacy and security are paramount.
Reference:
SAP Analytics Cloud Connection Guide1
SAC Live and Import Connection Overview2
SAP Analytics Cloud: Expand Live Data Source Options3
Live connection in SAP Analytics Cloud: advantages and challenges4
Explaining Where the Data Comes From - SAP Learning5

NEW QUESTION # 50
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

A. Drill down on data
B. Input data
C. Create cross-calculation
D. Filter data

Answer: A,D

Explanation:
In Data Analyzer, users can perform various tasks to analyze their data, including filtering data and drilling down on data. Filtering allows users to narrow down the dataset to focus on specific subsets of data, enhancing the analysis's relevancy. Drilling down provides the ability to explore data at a more granular level, revealing deeper insights into the data points and trends within the larger dataset.
Reference:
SAP Analytics Cloud Help Documentation: Data Analyzer Usage
SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer

NEW QUESTION # 51
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.

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

Answer: B,D

Explanation:
In a planning data model in SAP Analytics Cloud, the Date and Version dimensions are included by default. The Date dimension is essential for time-based planning and analysis, while the Version dimension allows for the creation and management of different data scenarios, such as budget, forecast, and actuals. These dimensions provide a foundational structure for planning activities within the model.
Reference:
SAP Analytics Cloud Help Documentation: Planning Data Model Basics
SAP Analytics Cloud User Guide: Understanding Default Dimensions in Planning Models

NEW QUESTION # 52
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. Calculation editor
C. Formula bar
D. Custom expression editor

Answer: A,D

NEW QUESTION # 53
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