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Pass Guaranteed Fantastic C_SAC_2501 - SAP Certified Associate - Data Analyst - SAP Analytics Cloud Reliable Test Practice

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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

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 (Q48-Q53):

NEW QUESTION # 48
What is required to use version management in a story?

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

Answer: C

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

NEW QUESTION # 49
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

A. Create cross-calculation
B. Filter data
C. Drill down on data
D. Input data

Answer: B,C

Explanation:
In Data Analyzer, users can perform various tasks to analyze their data, including filtering data and drilling down on data. Filtering allows users to narrow down the dataset to focus on specific subsets of data, enhancing the analysis's relevancy. Drilling down provides the ability to explore data at a more granular level, revealing deeper insights into the data points and trends within the larger dataset.
Reference:
SAP Analytics Cloud Help Documentation: Data Analyzer Usage
SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer

NEW QUESTION # 50
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.

A. Forecast
B. Actual
C. Predictive
D. Budget

Answer: A,B

NEW QUESTION # 51
You are creating a script for an advanced data action. Which character designates a virtual variable member?

A. %
B. *
C. #
D. /

Answer: A

NEW QUESTION # 52
What can you use to organize dimensions into logical categories in a live model?

A. Parent-child hierarchy
B. Groups
C. Level-based hierarchy
D. Value driver tree

Answer: A

Explanation:
In a live model within SAP Analytics Cloud, dimensions can be organized into logical categories using either level-based hierarchies or parent-child hierarchies. Level-based hierarchies are used when the relationships between items are defined by distinct levels, such as Geography might be divided into Country, State, and City levels. Parent-child hierarchies, on the other hand, are useful when the data's hierarchy is not strictly defined by levels but by a parent relationship where a child member is associated with a parent member, which is common in organizational structures or product categories.
Reference:
SAP Analytics Cloud Help Documentation: Creating and Managing Hierarchies SAP Analytics Cloud User Guide: Working with Models

NEW QUESTION # 53
......

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