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Free PDF Quiz The Best SAP - C-SAC-2501 - SAP Certified Associate - Data Analyst - SAP Analytics Cloud Practice Exam Pdf

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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

Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.

Topic 3

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 4

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 5

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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q44-Q49):

NEW QUESTION # 44
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 # 45
Where can you create a blank planning version?

A. In a data cell
B. In the planning model
C. In version management
D. In the version dimension

Answer: C

Explanation:
A blank planning version in SAP Analytics Cloud can be created within the Version Management feature. This area of the platform allows users to manage different versions of their data, such as budgets, forecasts, and what-if scenarios. Creating a blank version provides a clean slate for planning activities, without pre-existing data, enabling users to start fresh with their assumptions and inputs.
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Creating New Versions for Planning

NEW QUESTION # 46
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.

A. Grid pages
B. Explorer
C. Undo button
D. Composites
E. Linked widgets diagram

Answer: C,D,E

NEW QUESTION # 47
How can you limit the refresh time of a story?

A. Implement a value driver tree
B. Use canvas pages
C. Create calculated measures
D. Collapse the hierarchy

Answer: D

Explanation:
Collapsing the hierarchy in a story can help limit the refresh time, as it reduces the amount of data that needs to be processed and displayed at any given time. By presenting data at a higher aggregation level initially, you can improve performance and allow users to expand specific sections of the hierarchy as needed for more detailed analysis.
Reference:
SAP Analytics Cloud Help Documentation: Improving Story Performance
SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance

NEW QUESTION # 48
Which automatically created dimension type can you delete from an analytic data model?

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

Answer: A

Explanation:
In an analytic data model within SAP Analytics Cloud, the automatically created dimension type that you can delete is the Generic dimension. This type of dimension is typically used for custom or ad-hoc categorizations and, unlike system-generated dimensions like Date or Version, can be modified or removed as per the specific needs of your data model and analysis requirements.
Reference:
SAP Analytics Cloud Help Documentation: Data Model Dimensions
SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models

NEW QUESTION # 49
......

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Sam Taylor Sam Taylor

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