100% PASS QUIZ SAP - AUTHORITATIVE C_SAC_2421 - SAP CERTIFIED ASSOCIATE - DATA ANALYST - SAP ANALYTICS CLOUD TRAINING TOOLS

100% Pass Quiz SAP - Authoritative C_SAC_2421 - SAP Certified Associate - Data Analyst - SAP Analytics Cloud Training Tools

100% Pass Quiz SAP - Authoritative C_SAC_2421 - SAP Certified Associate - Data Analyst - SAP Analytics Cloud Training Tools

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q36-Q41):

NEW QUESTION # 36
What is required to use version management in a story?

  • A. Planning model
  • B. Analytic model
  • C. Classic mode
  • D. Optimized mode

Answer: A

Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning


NEW QUESTION # 37
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. Insert a character into the Year measure using the transform bar.
  • B. Change the Year measure to a dimension in the dataset.
  • C. Add the month as a suffix to the Year measure.
  • D. Includes the Year measure in a level-based time hierarchy in the dataset.

Answer: B

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 # 38
What type of predictive scenario can write back to a planning model?

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

Answer: B

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 # 39
You are designing a new story. You want the size and position of widgets to adjust dynamically for viewing on different devices and screen sizes. Which page type must you use?

  • A. Composite
  • B. Responsive
  • C. Grid
  • D. Canvas

Answer: B

Explanation:
For designing a new story in SAP Analytics Cloud where the size and position of widgets need to adjust dynamically for different devices and screen sizes, the Responsive page type should be used. Responsive pages automatically adapt to the screen size of the device they are viewed on, providing an optimal viewing experience across desktops, tablets, and smartphones.
Reference:
SAP Analytics Cloud Help Documentation: Responsive Design in Stories
SAP Analytics Cloud User Guide: Building Responsive Pages


NEW QUESTION # 40
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. Stories
  • B. Embedded data sets
  • C. Source system
  • D. Public datasets

Answer: A

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 # 41
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