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C_SAC_2501 Exam Labs & New C_SAC_2501 Test Book

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SAP C_SAC_2501 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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

Topic 3

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

Topic 4

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 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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q38-Q43):

NEW QUESTION # 38
You are using a live connection for a model. Where can you define data security?

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

Answer: D

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 # 39
You want to use an input control to filter data appearing in a story. At what level is the filter applied?

A. Calculation
B. Page
C. Story
D. Component

Answer: B

Explanation:
When using an input control to filter data in a SAP Analytics Cloud story, the filter is applied at the Page level. This means that the selected filter criteria will affect all the components (tables, charts, etc.) on that particular page, allowing for a cohesive and consistent view of the data filtered according to the chosen parameters.
Reference:
SAP Analytics Cloud Help Documentation: Filtering Data with Input Controls SAP Analytics Cloud User Guide: Page-Level Filtering in Stories

NEW QUESTION # 40
You want to save your data analyzer result. What is it saved as?

A. Insight
B. Model
C. Story
D. Dataset

Answer: A

NEW QUESTION # 41
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. Avaid prompts
C. Use conditional formatting
D. Use responsive pages
E. Load widgets in the background

Answer: A,C,E

NEW QUESTION # 42
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 group that includes the dimensions.
B. Create a parent-child hierarchy in the dataset.
C. Create a level-based hierarchy in the dataset.
D. Convert the embedded dataset to a model.

Answer: C

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 # 43
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