EXAM SAP C-SAC-2421 VOUCHER | C-SAC-2421 PDF DEMO DOWNLOAD

Exam SAP C-SAC-2421 Voucher | C-SAC-2421 Pdf Demo Download

Exam SAP C-SAC-2421 Voucher | C-SAC-2421 Pdf Demo Download

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q21-Q26):

NEW QUESTION # 21
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

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

Answer: A,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 # 22
What account types use the average rate type? Note: There are 2 correct answers to this question.

  • A. AST
  • B. EXP
  • C. LEQ
  • D. INC

Answer: B,D


NEW QUESTION # 23
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.

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

Answer: B,C

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 # 24
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

  • A. Data analyzer insight
  • B. Standalone dataset
  • C. Live data model
  • D. Imported data model
  • E. Embedded data set

Answer: B,D,E

Explanation:
In SAP Analytics Cloud, data concatenation can be performed on Embedded datasets, Standalone datasets, and Imported data models. This process involves combining data from multiple sources or tables into a single dataset or model, providing a unified view of the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.
Reference:
SAP Analytics Cloud Help Documentation: Working with Datasets
SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets


NEW QUESTION # 25
You have a dimension with members for product groups and products. Each product group has associated products. You want to plan by product group without disaggregating into the products. How can you do this?

  • A. Dis-able allocations
  • B. Dis-able distribution
  • C. Use two properties
  • D. Use two hierarchies

Answer: D

Explanation:
When you have a dimension with members for product groups and associated products and want to plan by product group without disaggregating into the individual products, using two hierarchies is the best approach. One hierarchy can represent the product groups at a higher level, allowing for planning and analysis at the group level. The second hierarchy can include both the product groups and their associated individual products for more detailed analysis when needed. This approach provides flexibility in planning and analyzing data at different levels of detail without the necessity of disaggregating data at the product group level.
Reference:
SAP Analytics Cloud Help Documentation: Hierarchies in Planning
SAP Analytics Cloud User Guide: Managing Hierarchies for Planning


NEW QUESTION # 26
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