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SAP C-SAC-2501 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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

Topic 4

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

Topic 5

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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q14-Q19):

NEW QUESTION # 14
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

A. Live data model
B. Data analyzer insight
C. Embedded data set
D. Standalone dataset
E. Imported data model

Answer: C,D,E

Explanation:
In SAP Analytics Cloud, data concatenation can be performed on Embedded datasets, Standalone datasets, and Imported data models. This process involves combining data from multiple sources or tables into a single dataset or model, providing a unified view of the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.
Reference:
SAP Analytics Cloud Help Documentation: Working with Datasets
SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets

NEW QUESTION # 15
What must you use to transform data in a dataset using if/then/else logic?

A. Transform bar
B. Formula bar
C. Custom expression editor
D. Calculations editor

Answer: C

Explanation:
To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom expression editor. This tool allows you to write complex logical conditions and perform conditional data transformations. The steps involved are:
Open the dataset you want to transform.
Navigate to the "Custom expression editor".
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud. For example:
IF([Sales] > 1000, "High", "Low")
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference:
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation

NEW QUESTION # 16
You are creating a data action to copy data from one year to the next.In the parameter for the source year, which default setting must you change?

A. Granularity
B. Cardinality
C. Level
D. Hierarchy

Answer: B

NEW QUESTION # 17
What is required to use version management in a story?

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

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 # 18
Which programming language is used for scripting in an SAP Analytics Cloud story?

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

Answer: D

NEW QUESTION # 19
......

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