VALID C-SAC-2501 EXAM VOUCHER - REALISTIC VALID SAP CERTIFIED ASSOCIATE - DATA ANALYST - SAP ANALYTICS CLOUD EXAM ANSWERS PASS GUARANTEED

Valid C-SAC-2501 Exam Voucher - Realistic Valid SAP Certified Associate - Data Analyst - SAP Analytics Cloud Exam Answers Pass Guaranteed

Valid C-SAC-2501 Exam Voucher - Realistic Valid SAP Certified Associate - Data Analyst - SAP Analytics Cloud Exam Answers Pass Guaranteed

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q26-Q31):

NEW QUESTION # 26
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.

  • A. Enable unbooked data in the story.
  • B. Set Size Limits for Planning Performance in the model.
  • C. Enable Optimize Recommended Planning Area in the model.
  • D. Select fluid data entry mode in the story.

Answer: C,D


NEW QUESTION # 27
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 # 28
You are entering values for several expense accounts in a data table. Which data entry mode must you use to process the data with a delay defined in System Administration?

  • A. Single
  • B. Fluid
  • C. Mass

Answer: B


NEW QUESTION # 29
What can you use to organize dimensions into logical categories in a live model?

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

Answer: B

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 # 30
In a data model, what can you use to further describe a dimension?

  • A. Data action
  • B. Measure
  • 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 # 31
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