Exam DP-600 topic 1 question 100 discussion

Actual exam question from Microsoft's DP-600

Question #: 100
Topic #: 1

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?

A. the PySpark library in a Fabric notebook
B. the pandas library in a Fabric notebook
C. a Microsoft Power BI report that uses core visuals

Show Suggested Answer

Suggested Answer: A 🗳️

by clux at April 7, 2024, 3:59 p.m.

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282b85d

Highly Voted 5 months, 2 weeks ago

Selected Answer: A

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.

upvoted 5 times

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stilferx

Most Recent 6 months ago

Selected Answer: A

IMHO, A) PySpark is winner. Because of parallelization (Pandas is not distributed, PBI - has different doals)

upvoted 2 times

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clux

7 months, 1 week ago

Selected Answer: A

Correct

upvoted 4 times

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Exam DP-600 topic 1 question 100 discussion

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282b85d

stilferx

clux

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