2025 C-SAC-2501: SAP Certified Associate - Data Analyst - SAP Analytics Cloud–Efficient Study Tool

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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	Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.
Topic 4	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 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 C-SAC-2501 Latest Test Guide - C-SAC-2501 Questions Pdf

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q30-Q35):

NEW QUESTION # 30
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.

A. Use fewer aggregation dimension functions
B. Use fewer FOREACH functions
C. Use fewer IF statements
D. Use fewer MEMBERSET statements
E. Use fewer data functions

Answer: B,C,E

NEW QUESTION # 31
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.

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

Answer: B,C,E

NEW QUESTION # 32
You have a column chart in a story. You notice some of the labels are missing until you mouse over the data point. How can you ensure that the labels are always visible?

A. Select the Avoid Data Label Overlap checkbox
B. Increase the overall size of the chart widget on the page
C. Increase the font size of the axis labels

Answer: A

Explanation:
To ensure that labels are always visible on a column chart in a story, you should select the "Avoid Data Label Overlap" checkbox in the chart's settings. This option adjusts the labels' positioning to prevent overlap, making them visible at all times without the need for mouse-over interaction.
Reference:
SAP Analytics Cloud Help Documentation: Chart Design and Label Management SAP Analytics Cloud User Guide: Enhancing Data Label Visibility in Charts

NEW QUESTION # 33
Which automatically created dimension type can you delete from an analytic data model?

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

Answer: B

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 # 34
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

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

Answer: B,D

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 # 35
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