C-SAC-2421 NEW BRAINDUMPS PDF & NEW C-SAC-2421 EXAM TOPICS

C-SAC-2421 New Braindumps Pdf & New C-SAC-2421 Exam Topics

C-SAC-2421 New Braindumps Pdf & New C-SAC-2421 Exam Topics

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Tags: C-SAC-2421 New Braindumps Pdf, New C-SAC-2421 Exam Topics, C-SAC-2421 Updated Test Cram, C-SAC-2421 Valid Test Fee, C-SAC-2421 Question Explanations

Technologies are changing at a very rapid pace. Therefore, the SAP Certified Associate - Data Analyst - SAP Analytics Cloud in Procurement and Supply SAP has become very significant to validate expertise and level up career. Success in the SAP Certified Associate - Data Analyst - SAP Analytics Cloud examination helps you meet the ever-changing dynamics of the tech industry. To advance your career, you must register for the SAP Certified Associate - Data Analyst - SAP Analytics Cloud C-SAC-2421 in Procurement and Supply SAP test and put all your efforts to crack the SAP C-SAC-2421 challenging examination.

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
  • 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 3
  • 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 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
  • 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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q34-Q39):

NEW QUESTION # 34
You are using a live connection for a model. Where is the data stored?

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

Answer: C

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 # 35
What is required to use version management in a story?

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

Answer: D

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


NEW QUESTION # 36
Which programming language is used for scripting in an SAP Analytics Cloud story?

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

Answer: C


NEW QUESTION # 37
What can you use to organize dimensions into logical categories in a live model?

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

Answer: D

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 # 38
You need to delete characters from a column in a dataset. What can you use? Note: There are 2 correct answers to this question.

  • A. Formula bar
  • B. Custom expression editor
  • C. Calculation editor
  • D. Transform bar

Answer: B,D


NEW QUESTION # 39
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