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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q59-Q64):

NEW QUESTION # 59
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.

A. Add a layer to a geo map
B. Add JavaScript to a button
C. Add a popup
D. Add a custom widget

Answer: B,C

NEW QUESTION # 60
Which programming language is used for scripting in an SAP Analytics Cloud story?

A. ABAP
B. JavaScript
C. Python
D. Wrangling Expression Language

Answer: B

NEW QUESTION # 61
You have a dataset that extracts data from an SAP Business Warehouse (SAP BW) system. The data in the SAP BW system changes. How can you update the dataset?

A. You must refresh the story that uses the dataset.
B. You must manually reimport the data.
C. You must create a new dataset.
D. You can schedule the dataset to update on a regular basis.

Answer: D

Explanation:
For datasets that extract data from external systems like SAP Business Warehouse (SAP BW), SAP Analytics Cloud provides the capability to schedule updates on a regular basis. This feature ensures that the dataset within SAP Analytics Cloud remains up-to-date with the latest changes from the SAP BW system, without the need for manual reimport or creating a new dataset. Scheduled updates can be configured to run at specific intervals, automating the data refresh process.
Reference:
SAP Analytics Cloud Help Documentation: Scheduling Data Refresh
SAP Analytics Cloud User Guide: Automating Dataset Updates from External Sources

NEW QUESTION # 62
What type of predictive scenario can write back to a planning model?

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

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 # 63
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

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

Answer: B,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 # 64
......

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