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Top C_SAC_2415 Pass Guaranteed Pass Certify | Professional Latest C_SAC_2415 Exam Forum: SAP Certified Associate - Data Analyst - SAP Analytics Cloud

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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

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 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

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 5

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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q28-Q33):

NEW QUESTION # 28
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

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

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 # 29
What is required to use version management in a story?

A. Optimized mode
B. Planning model
C. Classic mode
D. Analytic model

Answer: B

Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning

NEW QUESTION # 30
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. Convert the embedded dataset to a model.
B. Create a group that includes the dimensions.
C. Create a parent-child hierarchy in the dataset.
D. Create a level-based hierarchy in the dataset.

Answer: D

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 # 31
You are using a live connection for a model. Where can you define data security?

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

Answer: C

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 # 32
You are creating a data action to copy data from one year to the next.In the parameter for the source year, which default setting must you change?

A. Cardinality
B. Granularity
C. Level
D. Hierarchy

Answer: A

NEW QUESTION # 33
......

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