NEWEST VALID C-SAC-2415 EXAM PAPERS | AMAZING PASS RATE FOR C-SAC-2415: SAP CERTIFIED ASSOCIATE - DATA ANALYST - SAP ANALYTICS CLOUD | PERFECT LATEST C-SAC-2415 EXAM QUESTIONS VCE

Newest Valid C-SAC-2415 Exam Papers | Amazing Pass Rate For C-SAC-2415: SAP Certified Associate - Data Analyst - SAP Analytics Cloud | Perfect Latest C-SAC-2415 Exam Questions Vce

Newest Valid C-SAC-2415 Exam Papers | Amazing Pass Rate For C-SAC-2415: SAP Certified Associate - Data Analyst - SAP Analytics Cloud | Perfect Latest C-SAC-2415 Exam Questions Vce

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SAP C-SAC-2415 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 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 (Q14-Q19):

NEW QUESTION # 14
What features are supported by data analyzer? Note: There are 3 correct answers to this question.

  • A. Charts
  • B. Input controls
  • C. Calculated measures
  • D. Conditional formatting
  • E. Linked dimensions

Answer: A,C,D


NEW QUESTION # 15
Which automatically created dimension type can you delete from an analytic data model?

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

Answer: C

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 # 16
What can you use to perform cell-based calculations in a story?

  • A. Calculated measures
  • B. Restricted measures
  • C. Table formulas
  • D. Dimension formulas

Answer: C

Explanation:
Table formulas in SAP Analytics Cloud are used to perform cell-based calculations within a story. These formulas can be applied directly to table cells, allowing for customized calculations that are specific to the data presented in the table. This feature is particularly useful for ad-hoc analysis and when specific calculations are needed that are not covered by predefined measures or dimensions.
Reference:
SAP Analytics Cloud Help Documentation: Using Table Formulas
SAP Analytics Cloud User Guide: Cell-Based Calculations in Stories


NEW QUESTION # 17
What source system can you connect to with a live connection?

  • A. SAP Business ByDesign Analytics
  • B. SAP ERP Central Component
  • C. SAP Datasphere
  • D. SAP SuccessFactors

Answer: C

Explanation:
SAP Analytics Cloud can establish a live connection with various source systems, including SAP Datasphere. This allows for real-time data access and analysis without the need to replicate data into the cloud, which is beneficial for scenarios where data privacy and security are paramount.
Reference:
SAP Analytics Cloud Connection Guide1
SAC Live and Import Connection Overview2
SAP Analytics Cloud: Expand Live Data Source Options3
Live connection in SAP Analytics Cloud: advantages and challenges4
Explaining Where the Data Comes From - SAP Learning5


NEW QUESTION # 18
The SAP Analytics Cloud (SAC) modeler has removed the first three characters from an SAP Analytics Cloud public dimension imported from a source system. What is impacted by this change?

  • A. Source system
  • B. Embedded data sets
  • C. Public datasets
  • D. Stories

Answer: D

Explanation:
When the SAP Analytics Cloud (SAC) modeler removes the first three characters from a public dimension imported from a source system, this change impacts Stories that use this dimension. Specifically, any visualizations, calculations, or filters within those stories that rely on the original dimension values may need to be adjusted to account for the change. This modification does not affect the source system or public datasets directly, but it can impact how the data appears and behaves in stories that use the modified dimension.
Reference:
SAP Analytics Cloud Help Documentation: Modifying Dimensions
SAP Analytics Cloud User Guide: Impact of Dimension Changes on Stories


NEW QUESTION # 19
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