SAP C_SAC_2501 Sample Exam & C_SAC_2501 Reliable Test Simulator

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SAP C_SAC_2501 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
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	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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q23-Q28):

NEW QUESTION # 23
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

A. Dimensions
B. Calculations
C. Measures
D. Hierarchies

Answer: A,C

Explanation:
In SAP Analytics Cloud, a data model must contain at least "Dimensions" and "Measures" to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models

NEW QUESTION # 24
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 level-based hierarchy in the dataset.
B. Convert the embedded dataset to a model.
C. Create a parent-child hierarchy in the dataset.
D. Create a group that includes the dimensions.

Answer: A

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 # 25
What can you use input controls for in a story? Note: There are 2 correct answers to this question.

A. Selecting an alternate data source
B. Implementing row-level and column-level security in a table
C. Changing dimensions or measures displayed in a table
D. Filtering data on a page

Answer: C,D

Explanation:
Input controls in a story in SAP Analytics Cloud can be used for changing dimensions or measures displayed in a table and for filtering data on a page. Input controls provide a way for users to interactively modify the view of the data, such as selecting which dimensions or measures to display, or filtering the entire page's content based on selected criteria, enhancing the interactivity and flexibility of data analysis within stories.
Reference:
SAP Analytics Cloud Help Documentation: Input Controls in Stories
SAP Analytics Cloud User Guide: Using Input Controls for Data Interaction

NEW QUESTION # 26
Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.

A. SAP Datasphere model
B. SAP Analytics Cloud analytic model
C. SAP BusinessObjects Universe
D. SAP Analytics Cloud public dataset
E. SAP HANA view

Answer: A,B,E

NEW QUESTION # 27
You are using a live connection for a model. Where can you define data security?

A. SAP Analytics Cloud model
B. Source system
C. Data access control
D. SAP Analytics Cloud role

Answer: B

Explanation:
When using a live connection in SAP Analytics Cloud, data security is defined and managed within the source system. This approach leverages the existing security protocols and permissions set up in the source system, ensuring that data governance and access controls remain consistent and are centrally managed. Users accessing data through SAP Analytics Cloud with a live connection will be subject to the same security constraints and permissions as if they were accessing the data directly from the source system. This integration ensures a unified security model, simplifying administration and ensuring data security and compliance.

NEW QUESTION # 28
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SAP C_SAC_2501 SAMPLE EXAM & C_SAC_2501 RELIABLE TEST SIMULATOR

SAP C_SAC_2501 Sample Exam & C_SAC_2501 Reliable Test Simulator