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SAP C_SAC_2421 Exam Syllabus Topics:

Topic
Details

Topic 1

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.

Topic 2

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 3

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 4

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 5

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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q57-Q62):

NEW QUESTION # 57
Your users need to analyze data in a story. What kinds of data models can you create? Note: There are 2 correct answers to this question.

A. Planning
B. Embedded
C. Standalone
D. Analytic

Answer: A,D

NEW QUESTION # 58
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. Refresh the story
B. Schedule the import
C. Allow model import
D. Refresh the import job

Answer: A,B

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 # 59
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

A. Cloud
B. Live
C. On-premise
D. Import

Answer: B,D

Explanation:
SAP Analytics Cloud supports two primary types of data connections: Live Data Connection and Import Data Connection. Live Data Connection establishes a direct link to the data source, allowing real-time data access without replicating the data into SAP Analytics Cloud. This is ideal for scenarios where up-to-the-minute data is crucial, and data volume is large. On the other hand, Import Data Connection involves copying data from the source into SAP Analytics Cloud, which is suitable for scenarios where data doesn't change frequently, or there's a need for data transformation and enrichment within SAP Analytics Cloud.
Reference:
SAP Analytics Cloud Help Documentation: Data Connections Overview
SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios

NEW QUESTION # 60
What is required to use version management in a story?

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

Answer: B

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

NEW QUESTION # 61
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

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

Answer: B,D

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 # 62
......

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Ella Roberts Ella Roberts

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