LATEST C-SAC-2415 TEST PREPARATION, C-SAC-2415 RELIABLE DUMPS BOOK

Latest C-SAC-2415 Test Preparation, C-SAC-2415 Reliable Dumps Book

Latest C-SAC-2415 Test Preparation, C-SAC-2415 Reliable Dumps Book

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SAP C-SAC-2415 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Performance, Troubleshooting, and Security Management: This section is designed for system administrators and security managers. It involves identifying performance issues, understanding their causes and solutions, and explaining the security model of SAP Analytics Cloud.
Topic 2
  • Planning: This section measures the proficiency of planning and financial analysts in utilizing SAP Analytics Cloud’s enterprise planning features. It covers working with planning models and stories, configuring data actions, managing versions, and conducting forecasting and simulations.
Topic 3
  • Connections and Data Preparation: This section targets data integration specialists and preparers. It involves identifying the various methods SAC employs to access data and understanding the appropriate use cases for each.
Topic 4
  • Data Modeling, Analysis, and Integration: This section evaluates the expertise of professionals in data modeling and analytics. It emphasizes the creation and configuration of models within SAP Analytics Cloud (SAC), detailing the role and functionalities of the Data Analyzer, and integrating SAC with external applications.
Topic 5
  • Story Design: This section assesses the skills of data analysts and report designers. It includes the design and presentation of stories within SAC, with a focus on configuring story elements such as pages, tables, charts, and widgets.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q44-Q49):

NEW QUESTION # 44
In a data model, what can you use to further describe a dimension?

  • A. Measure
  • B. Variable
  • C. Data action
  • 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 # 45
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

  • A. Large calculation scope
  • B. Complex formatting
  • C. Many data sources
  • D. Many story filters
  • E. Many hyperlinks

Answer: B,C,D


NEW QUESTION # 46
You import data into a dataset. One of the columns imported is Year, and SAP Analytics Cloud interprets it as a measure. How can you ensure that it is treated as a calendar year?

  • A. Change the Year measure to a dimension in the dataset.
  • B. Add the month as a suffix to the Year measure.
  • C. Includes the Year measure in a level-based time hierarchy in the dataset.
  • D. Insert a character into the Year measure using the transform bar.

Answer: A

Explanation:
If SAP Analytics Cloud interprets a 'Year' column as a measure instead of a dimension, it should be changed to a dimension to ensure it is treated as a calendar year. This adjustment can be made within the model or dataset settings, where the column's role can be switched from a measure (quantitative value) to a dimension (qualitative value). Treating 'Year' as a dimension allows it to be used appropriately in time-based analyses, such as trends over time, without being aggregated like a numerical measure.


NEW QUESTION # 47
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. Live
  • B. On-premise
  • C. Cloud
  • 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 # 48
Where can you create a blank planning version?

  • A. In version management
  • B. In the version dimension
  • C. In a data cell
  • D. In the planning model

Answer: A

Explanation:
A blank planning version in SAP Analytics Cloud can be created within the Version Management feature. This area of the platform allows users to manage different versions of their data, such as budgets, forecasts, and what-if scenarios. Creating a blank version provides a clean slate for planning activities, without pre-existing data, enabling users to start fresh with their assumptions and inputs.
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Creating New Versions for Planning


NEW QUESTION # 49
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