EXAM SAMPLE C-SAC-2421 ONLINE & C-SAC-2421 RELIABLE TEST PATTERN

Exam Sample C-SAC-2421 Online & C-SAC-2421 Reliable Test Pattern

Exam Sample C-SAC-2421 Online & C-SAC-2421 Reliable Test Pattern

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Tags: Exam Sample C-SAC-2421 Online, C-SAC-2421 Reliable Test Pattern, C-SAC-2421 Test Sample Online, C-SAC-2421 Reliable Braindumps Book, Training C-SAC-2421 Kit

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SAP C-SAC-2421 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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
  • 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.

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

NEW QUESTION # 57
You input new data for a private version in a story. What must you do to ensure the new data is added to the model?

  • A. Publish
  • B. Nothing
  • C. Save
  • D. Send

Answer: A

Explanation:
When inputting new data for a private version in a story in SAP Analytics Cloud, it is necessary to "Publish" the data to ensure it is added to the model. Publishing the private version commits the changes to the underlying model, making the new data visible and accessible to other users according to their permissions. This step is crucial for ensuring that the updated data is incorporated into the shared model for further analysis and decision-making.
Reference:
SAP Analytics Cloud Help Documentation: Private Versions and Publishing SAP Analytics Cloud User Guide: Working with Private Versions in Stories


NEW QUESTION # 58
You are creating a script for an advanced data action. Which character designates a virtual variable member?

  • A. #
  • B. /
  • C. %
  • D. *

Answer: B


NEW QUESTION # 59
In a data model, what can you use to further describe a dimension?

  • A. Measure
  • B. Data action
  • C. Variable
  • 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 # 60
What can you use to organize dimensions into logical categories in a live model?

  • A. Level-based hierarchy
  • B. Groups
  • 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 # 61
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.

  • A. Use fewer aggregation dimension functions
  • B. Use fewer data functions
  • C. Use fewer IF statements
  • D. Use fewer MEMBERSET statements
  • E. Use fewer FOREACH functions

Answer: B,C,E


NEW QUESTION # 62
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