C_SAC_2415 RELATED EXAMS, C_SAC_2415 LATEST QUESTIONS

C_SAC_2415 Related Exams, C_SAC_2415 Latest Questions

C_SAC_2415 Related Exams, C_SAC_2415 Latest Questions

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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
  • 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 4
  • 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 5
  • 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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q31-Q36):

NEW QUESTION # 31
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.

  • A. Avaid prompts
  • B. Use responsive pages
  • C. Load widgets in the background
  • D. Use conditional formatting
  • E. Avaid tables with more than 500 rows and 60 columns

Answer: C,D,E


NEW QUESTION # 32
You need to delete characters from a column in a dataset. What can you use? Note: There are 2 correct answers to this question.

  • A. Transform bar
  • B. Calculation editor
  • C. Custom expression editor
  • D. Formula bar

Answer: A,C


NEW QUESTION # 33
In a data model, what can you use to further describe a dimension?

  • A. Property
  • B. Measure
  • C. Data action
  • D. Variable

Answer: A

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 # 34
What must you use to transform data in a dataset using if/then/else logic?

  • A. Transform bar
  • B. Custom expression editor
  • C. Formula bar
  • D. Calculations editor

Answer: B

Explanation:
To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom expression editor. This tool allows you to write complex logical conditions and perform conditional data transformations. The steps involved are:
Open the dataset you want to transform.
Navigate to the "Custom expression editor".
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud. For example:
IF([Sales] > 1000, "High", "Low")
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference:
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation


NEW QUESTION # 35
You are creating a styling rule for a table. What is the context?

  • A. The highest level in the table
  • B. The location of the cursor
  • C. The table header
  • D. The most granular level in the table

Answer: B


NEW QUESTION # 36
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