DP-600 · Question #87
You have a Fabric tenant that contains JSON files in OneLake. The files have one billion items. You plan to perform time series analysis of the items. You need to transform the data, visualize the dat
The correct answer is A. the PySpark library in a Fabric notebook. PySpark provides robust capabilities for data transformation and manipulation, making it well- suited for preparing data for time series analysis. You can then use libraries like pandas for further data manipulation if needed and leverage Spark's machine learning capabilities for
Question
You have a Fabric tenant that contains JSON files in OneLake. The files have one billion items. You plan to perform time series analysis of the items. You need to transform the data, visualize the data to find insights, perform anomaly detection, and share the insights with other business users. The solution must meet the following requirements:
- Use parallel processing.
- Minimize the duplication of data.
- Minimize how long it takes to load the data.
What should you use to transform and visualize the data?
Options
- Athe PySpark library in a Fabric notebook
- Bthe pandas library in a Fabric notebook
- Ca Microsoft Power BI report that uses core visuals
How the community answered
(56 responses)- A55% (31)
- B29% (16)
- C16% (9)
Explanation
PySpark provides robust capabilities for data transformation and manipulation, making it well- suited for preparing data for time series analysis. You can then use libraries like pandas for further data manipulation if needed and leverage Spark's machine learning capabilities for anomaly detection.
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