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SAP C_SAC_2415 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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
  • 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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q52-Q57):

NEW QUESTION # 52
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. Includes the Year measure in a level-based time hierarchy in the dataset.
  • B. Insert a character into the Year measure using the transform bar.
  • C. Add the month as a suffix to the Year measure.
  • D. Change the Year measure to a dimension in the dataset.

Answer: D

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 # 53
Where can you change a data lock status? Note: There are 2 correct answers to this question.

  • A. Calendar task
  • B. Multi action
  • C. Value lock management
  • D. Data action

Answer: A,B


NEW QUESTION # 54
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. Dimensions
  • B. Calculations
  • C. Measures
  • D. Hierarchies

Answer: A,C

Explanation:
In SAP Analytics Cloud, a data model must contain at least "Dimensions" and "Measures" to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models


NEW QUESTION # 55
What type of predictive scenario can write back to a planning model?

  • A. Time series forecast
  • B. Regression
  • C. Classification
  • D. Value driver tree

Answer: A

Explanation:
In SAP Analytics Cloud, a Time Series Forecast predictive scenario can write back to a planning model. Time Series Forecasting leverages historical data to predict future values over a specified time horizon, using statistical or machine learning methods. This feature is particularly useful in planning and forecasting processes, where future values are predicted based on past trends and seasonality. The ability to write these forecasts back into a planning model allows for the integration of predictive insights into the planning process, enhancing decision-making and strategic planning.
Reference:
SAP Analytics Cloud Help Documentation: Predictive Scenarios and Planning SAP Analytics Cloud User Guide: Time Series Forecasting in Planning Models


NEW QUESTION # 56
What must you use to transform data in a dataset using if/then/else logic?

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

Answer: C

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 # 57
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