C-SAC-2415 VCE FORMAT | C-SAC-2415 EXAM REVIEWS

C-SAC-2415 Vce Format | C-SAC-2415 Exam Reviews

C-SAC-2415 Vce Format | C-SAC-2415 Exam Reviews

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Tags: C-SAC-2415 Vce Format, C-SAC-2415 Exam Reviews, Valid C-SAC-2415 Learning Materials, Reliable C-SAC-2415 Dumps Book, Practical C-SAC-2415 Information

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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
  • 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 3
  • 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 4
  • 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.
Topic 5
  • 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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q39-Q44):

NEW QUESTION # 39
You have a live data model with two dimensions: Firstname and Lastname. Users want a single dimension in the data model that displays the dimensions as Lastname, Firstname. What must you do?

  • A. Group the Firstname and Lastname in the data model.
  • B. Create a calculated dimension in the story.
  • C. Create a calculated dimension in the data model.
  • D. Create the combined data in the source system.

Answer: C

Explanation:
To combine two dimensions, Firstname and Lastname, into a single dimension displaying as Lastname, Firstname in a live data model, you should create a calculated dimension in the data model. This calculated dimension will concatenate the two fields into one, according to the specified format. This approach allows for the creation of a new dimension that can be used across various reports and analyses within the model, maintaining the integrity of the original dimensions.
Reference:
SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions
SAP Analytics Cloud User Guide: Data Modeling Best Practices


NEW QUESTION # 40
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?

  • A. Add a Comment widget to the story
  • B. Create a Review task for the story
  • C. Share with View access
  • D. Include the story in a Discussion

Answer: A


NEW QUESTION # 41
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 distribution
  • B. Use two hierarchies
  • C. Use two properties
  • D. Dis-able allocations

Answer: B


NEW QUESTION # 42
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

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

Answer: A,C

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 # 43
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. Save
  • B. Nothing
  • C. Send
  • D. Publish

Answer: D

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 # 44
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