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SAP C-SAC-2415 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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	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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q46-Q51):

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

Answer: A,B,C

NEW QUESTION # 47
You are using a live connection for a model. Where is the data stored?

A. Source system
B. Public dataset
C. Embedded data set
D. SAP Analytics Cloud model

Answer: A

Explanation:
Connections and data preparation
When using a live connection in SAP Analytics Cloud, the data remains stored in the source system. This means that no data is imported or replicated into SAP Analytics Cloud; instead, it is accessed and analyzed in real-time directly from the source system. This approach ensures that the most current data is always used for analysis and that data governance and security policies of the source system remain in control.
Reference:
Live Data Connections to SAP S/4HANA | SAP Help Portal1
SAP Analytics Cloud Connection Guide2
SAP Analytics Cloud Data Connections - InsightCubes
In the context of SAP Analytics Cloud, when using a live connection to connect to a data source, the data remains stored in the source system. This setup means that SAP Analytics Cloud directly queries the data in its original location, without importing or copying it into the SAP Analytics Cloud environment. This approach is advantageous for several reasons, including maintaining a single source of truth, reducing data redundancy, and ensuring data is always up-to-date without the need for synchronization processes. Live connections are particularly useful for real-time or near-real-time data analysis and reporting, providing insights based on the most current data available without the overhead of data replication.
SAP Analytics Cloud documentation and user guides typically emphasize the benefits and use cases of live connections, highlighting how they maintain data in the source system to ensure real-time data access and analysis.
SAP training materials for Data Analysts using SAP Analytics Cloud, including study guides and official certification resources, explain the technical and practical aspects of live connections, including where data is stored and how it is accessed.
Best practice guides for SAP Analytics Cloud, often available through the SAP Community or SAP Knowledge Base, provide insights and recommendations on setting up and using live connections, reinforcing the concept that data stays in the source system.

NEW QUESTION # 48
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

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

Answer: A,C

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 # 49
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.

A. Entity
B. Version
C. Organization
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 # 50
What type of predictive scenario can write back to a planning model?

A. Regression
B. Classification
C. Time series forecast
D. Value driver tree

Answer: C

Explanation:
In SAP Analytics Cloud, a Time Series Forecast predictive scenario can write back to a planning model. Time Series Forecasting leverages historical data to predict future values over a specified time horizon, using statistical or machine learning methods. This feature is particularly useful in planning and forecasting processes, where future values are predicted based on past trends and seasonality. The ability to write these forecasts back into a planning model allows for the integration of predictive insights into the planning process, enhancing decision-making and strategic planning.
Reference:
SAP Analytics Cloud Help Documentation: Predictive Scenarios and Planning SAP Analytics Cloud User Guide: Time Series Forecasting in Planning Models

NEW QUESTION # 51
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Pdf Demo C-SAC-2415 Download, C-SAC-2415 Customized Lab Simulation

SAP C-SAC-2415 Exam Syllabus Topics:

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q46-Q51):

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