C-SAC-2421 NEW BRAINDUMPS EBOOK, C-SAC-2421 EXAM PAPERS

C-SAC-2421 New Braindumps Ebook, C-SAC-2421 Exam Papers

C-SAC-2421 New Braindumps Ebook, C-SAC-2421 Exam Papers

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Tags: C-SAC-2421 New Braindumps Ebook, C-SAC-2421 Exam Papers, Latest C-SAC-2421 Test Format, Braindump C-SAC-2421 Free, Reliable C-SAC-2421 Exam Guide

Don't let outdated study materials hold you back from passing the SAP Certified Associate - Data Analyst - SAP Analytics Cloud (C-SAC-2421) certification exam. Our platform offers updated C-SAC-2421 exam dumps in three formats - PDF, web-based practice exams, and desktop practice test software - so you can study and prepare anytime, anywhere. With our reliable study materials, you can achieve your career goals and land a high-paying job in the technology industry. Don't waste your resources on outdated material - trust our platform to provide you with the actual and updated SAP C-SAC-2421 Practice Questions you need to succeed.

SAP C-SAC-2421 Exam Syllabus Topics:

TopicDetails
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
  • 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 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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q50-Q55):

NEW QUESTION # 50
You are using a live connection for a model. Where is the data stored?

  • A. Public dataset
  • B. SAP Analytics Cloud model
  • C. Embedded data set
  • D. Source system

Answer: D

Explanation:
Connections and data preparation
When using a live connection in SAP Analytics Cloud, the data remains stored in the source system. This means that no data is imported or replicated into SAP Analytics Cloud; instead, it is accessed and analyzed in real-time directly from the source system. This approach ensures that the most current data is always used for analysis and that data governance and security policies of the source system remain in control.
Reference:
Live Data Connections to SAP S/4HANA | SAP Help Portal1
SAP Analytics Cloud Connection Guide2
SAP Analytics Cloud Data Connections - InsightCubes
In the context of SAP Analytics Cloud, when using a live connection to connect to a data source, the data remains stored in the source system. This setup means that SAP Analytics Cloud directly queries the data in its original location, without importing or copying it into the SAP Analytics Cloud environment. This approach is advantageous for several reasons, including maintaining a single source of truth, reducing data redundancy, and ensuring data is always up-to-date without the need for synchronization processes. Live connections are particularly useful for real-time or near-real-time data analysis and reporting, providing insights based on the most current data available without the overhead of data replication.
SAP Analytics Cloud documentation and user guides typically emphasize the benefits and use cases of live connections, highlighting how they maintain data in the source system to ensure real-time data access and analysis.
SAP training materials for Data Analysts using SAP Analytics Cloud, including study guides and official certification resources, explain the technical and practical aspects of live connections, including where data is stored and how it is accessed.
Best practice guides for SAP Analytics Cloud, often available through the SAP Community or SAP Knowledge Base, provide insights and recommendations on setting up and using live connections, reinforcing the concept that data stays in the source system.


NEW QUESTION # 51
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.

  • A. Organization
  • B. Version
  • C. Entity
  • D. Date

Answer: B,D

Explanation:
In a planning data model in SAP Analytics Cloud, the Date and Version dimensions are included by default. The Date dimension is essential for time-based planning and analysis, while the Version dimension allows for the creation and management of different data scenarios, such as budget, forecast, and actuals. These dimensions provide a foundational structure for planning activities within the model.
Reference:
SAP Analytics Cloud Help Documentation: Planning Data Model Basics
SAP Analytics Cloud User Guide: Understanding Default Dimensions in Planning Models


NEW QUESTION # 52
In a data model, what can you use to further describe a dimension?

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

Answer: D

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 # 53
You want to display differences between measures in a chart. What can you use?

  • A. Restricted measure
  • B. Threshold
  • C. Variance
  • D. Reference line

Answer: C

Explanation:
To display differences between measures in a chart within SAP Analytics Cloud, you can use the Variance feature. Variance helps to highlight the differences or gaps between two data points or measures, making it easier to identify trends, outliers, or areas requiring attention in visual representations like charts.
Reference:
SAP Analytics Cloud Help Documentation: Variance Analysis in Charts
SAP Analytics Cloud User Guide: Displaying Measure Differences Using Variance


NEW QUESTION # 54
You are creating a styling rule for a table. What is the context?

  • A. The location of the cursor
  • B. The most granular level in the table
  • C. The highest level in the table
  • D. The table header

Answer: A


NEW QUESTION # 55
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