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2025 C-SAC-2501 Latest Exam Format 100% Pass | Efficient Complete C-SAC-2501 Exam Dumps: SAP Certified Associate - Data Analyst - SAP Analytics Cloud

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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

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 (Q13-Q18):

NEW QUESTION # 13
What can you use to perform cell-based calculations in a story?

A. Restricted measures
B. Table formulas
C. Calculated measures
D. Dimension formulas

Answer: B

Explanation:
Table formulas in SAP Analytics Cloud are used to perform cell-based calculations within a story. These formulas can be applied directly to table cells, allowing for customized calculations that are specific to the data presented in the table. This feature is particularly useful for ad-hoc analysis and when specific calculations are needed that are not covered by predefined measures or dimensions.
Reference:
SAP Analytics Cloud Help Documentation: Using Table Formulas
SAP Analytics Cloud User Guide: Cell-Based Calculations in Stories

NEW QUESTION # 14
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.

A. Use a calculated member
B. Use a story calculated measure
C. Use a dimension hierarchy
D. Use a model converted measure

Answer: A,C

NEW QUESTION # 15
Which programming language is used for scripting in an SAP Analytics Cloud story?

A. Python
B. ABAP
C. Wrangling Expression Language
D. JavaScript

Answer: D

NEW QUESTION # 16
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.

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

Answer: A,D

Explanation:
In a planning data model in SAP Analytics Cloud, the Date and Version dimensions are included by default. The Date dimension is essential for time-based planning and analysis, while the Version dimension allows for the creation and management of different data scenarios, such as budget, forecast, and actuals. These dimensions provide a foundational structure for planning activities within the model.
Reference:
SAP Analytics Cloud Help Documentation: Planning Data Model Basics
SAP Analytics Cloud User Guide: Understanding Default Dimensions in Planning Models

NEW QUESTION # 17
You import data into a dataset. One of the columns imported is Year, and SAP Analytics Cloud interprets it as a measure. How can you ensure that it is treated as a calendar year?

A. Insert a character into the Year measure using the transform bar.
B. Add the month as a suffix to the Year measure.
C. Includes the Year measure in a level-based time hierarchy in the dataset.
D. Change the Year measure to a dimension in the dataset.

Answer: D

Explanation:
If SAP Analytics Cloud interprets a 'Year' column as a measure instead of a dimension, it should be changed to a dimension to ensure it is treated as a calendar year. This adjustment can be made within the model or dataset settings, where the column's role can be switched from a measure (quantitative value) to a dimension (qualitative value). Treating 'Year' as a dimension allows it to be used appropriately in time-based analyses, such as trends over time, without being aggregated like a numerical measure.

NEW QUESTION # 18
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