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SAP C-SAC-2421 Exam Syllabus Topics:

Topic	Details
Topic 1	Data modeling, analysis, and integration: This section focuses on the core analytical capabilities of SAP Analytics Cloud. SAP Analytics Cloud Data Analysts should demonstrate proficiency in creating and managing data models, performing advanced analysis, and integrating data from various sources. The exam assesses skills in creating calculated measures, applying filters, and using advanced analytical functions.
Topic 2	Planning: SAP Analytics Cloud Data Analysts are expected to demonstrate proficiency in planning within the SAP Analytics Cloud environment. The exam evaluates the ability to create and manage planning models, including setting up dimensions, accounts, and versions. Candidates should be familiar with creating planning input forms and implementing planning processes.
Topic 3	Story Design: This section of the exam measures the skills of SAP Analytics Cloud Data Analysts and covers various aspects of story design in SAP Analytics Cloud. The exam assesses the knowledge of candidates who should be able to create effective and visually appealing stories to present data insights. This includes understanding different chart types, layout options, and interactive elements to enhance data visualization and user engagement.
Topic 4	Connections and data preparation: This domain covers the essential skills of connecting to data sources and preparing data for analysis. SAP Analytics Cloud Data Analysts are expected to show competence in establishing connections to various data sources, including on-premise and cloud-based systems.
Topic 5	Performance, troubleshooting, and security management: This domain covers critical aspects of maintaining and optimizing SAP Analytics Cloud environments. It assesses SAP Analytics Cloud Data Analysts' abilities in performance tuning, troubleshooting common issues, and implementing security measures.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q29-Q34):

NEW QUESTION # 29
What can you use to perform cell-based calculations in a story?

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

Answer: A

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 # 30
Which automatically created dimension type can you delete from an analytic data model?

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

Answer: A

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 # 31
You have a story based on an import model. The transaction data in the model's data source changes. How can you update the data in the model? Note: There are 2 correct answers to this question.

A. Allow model import
B. Schedule the import
C. Refresh the import job
D. Refresh the story

Answer: B,D

Explanation:
To update the data in a model based on an import connection, two main approaches can be used:
Refresh the story: This action forces SAP Analytics Cloud to reload the data for the visualizations in a story, pulling in the most recent data available in the model. This is a manual process initiated by the user.
Schedule the import: This option allows users to set up a recurring data import schedule, ensuring the model is regularly updated with the latest data from the source system. This automated process helps maintain data freshness without manual intervention.
Both methods ensure that the story reflects the most current data, accommodating changes in the transaction data of the model's data source.

NEW QUESTION # 32
What can you do with a multi action? Note: There are 2 correct answers to this question.

A. Run allocation processes
B. Approve data
C. Import transaction data
D. Run allocation data actions

Answer: C,D

NEW QUESTION # 33
In a data model, what can you use to further describe a dimension?

A. Variable
B. Property
C. Data action
D. Measure

Answer: B

Explanation:
In a data model within SAP Analytics Cloud, Properties are used to further describe dimensions. Properties provide additional context or metadata for dimension members, such as descriptions, classifications, or other attributes that help to better understand and analyze the data within the dimension. This makes properties essential for detailed data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Dimension Properties
SAP Analytics Cloud User Guide: Enhancing Dimensions with Properties

NEW QUESTION # 34
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Pass Guaranteed Quiz 2025 C-SAC-2421: SAP Certified Associate - Data Analyst - SAP Analytics Cloud–Efficient Guaranteed Success

Efficient SAP - C-SAC-2421 - SAP Certified Associate - Data Analyst - SAP Analytics Cloud Guaranteed Success

SAP C-SAC-2421 Exam Syllabus Topics:

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q29-Q34):

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