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SAP C_SAC_2501 Exam Syllabus Topics:

Topic	Details
Topic 1	Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
Topic 2	Story Design: This section of the exam measures the skills of Data Analysts and covers story design concepts, accounting for The focus on creating effective visualizations and narratives using data.
Topic 3	Connections and Data Preparation: This section targets Data Engineers and covers connections and data preparation, The focus is on connecting to data sources and preparing data for visualization.
Topic 4	Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.
Topic 5	Performance, Troubleshooting, and Security Management: This section measures the skills of IT Administrators and covers performance, troubleshooting, and security management, making up less than 10% of the exam. It focuses on optimizing performance, resolving issues, and ensuring data security in data visualization environments.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q42-Q47):

NEW QUESTION # 42
You are creating a script for an advanced data action. Which character designates a virtual variable member?

A. #
B. /
C. %
D. *

Answer: C

NEW QUESTION # 43
You are using a live connection for a model. Where is the data stored?

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

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 # 44
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

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

Answer: B,C,D

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 # 45
You have a column chart in a story. You notice some of the labels are missing until you mouse over the data point. How can you ensure that the labels are always visible?

A. Increase the font size of the axis labels
B. Select the Avoid Data Label Overlap checkbox
C. Increase the overall size of the chart widget on the page

Answer: B

Explanation:
To ensure that labels are always visible on a column chart in a story, you should select the "Avoid Data Label Overlap" checkbox in the chart's settings. This option adjusts the labels' positioning to prevent overlap, making them visible at all times without the need for mouse-over interaction.
Reference:
SAP Analytics Cloud Help Documentation: Chart Design and Label Management SAP Analytics Cloud User Guide: Enhancing Data Label Visibility in Charts

NEW QUESTION # 46
Your users need to analyze data in a story. What kinds of data models can you create? Note: There are 2 correct answers to this question.

A. Embedded
B. Standalone
C. Planning
D. Analytic

Answer: C,D

NEW QUESTION # 47
......

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Reliable C_SAC_2501 Exam Simulator, New C_SAC_2501 Dumps Free

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SAP C_SAC_2501 Exam Syllabus Topics:

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q42-Q47):

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