Google PROFESSIONAL-DATA-ENGINEER Exam Dumps

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Google PROFESSIONAL-DATA-ENGINEER Exam Dumps

Vendor: Google
Exam Code: PROFESSIONAL-DATA-ENGINEER
Exam Name: Professional Data Engineer on Google Cloud Platform
Certification: Google Certifications
Total Questions: 331 Q&A ( View Details)
Updated on: Jan 29, 2025
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PROFESSIONAL-DATA-ENGINEER Online Practice Questions and Answers

Questions 1

What is the recommended action to do in order to switch between SSD and HDD storage for your Google Cloud Bigtable instance?

A. create a third instance and sync the data from the two storage types via batch jobs

B. export the data from the existing instance and import the data into a new instance

C. run parallel instances where one is HDD and the other is SDD

D. the selection is final and you must resume using the same storage type

Show Answer

Questions 2

You are running a Dataflow streaming pipeline, with Streaming Engine and Horizontal Autoscaling enabled. You have set the maximum number of workers to 1000. The input of your pipeline is Pub/Sub messages with notifications from Cloud Storage One of the pipeline transforms reads CSV files and emits an element for every CSV line. The Job performance is low. the pipeline is using only 10 workers, and you notice that the autoscaler is not spinning up additional workers. What should you do to improve performance?

A. Use Dataflow Prime, and enable Right Fitting to increase the worker resources.

B. Update the job to increase the maximum number of workers.

C. Enable Vertical Autoscaling to let the pipeline use larger workers.

D. Change the pipeline code, and introduce a Reshuffle step to prevent fusion.

Show Answer

Questions 3

You have a data pipeline that writes data to Cloud Bigtable using well-designed row keys. You want to monitor your pipeline to determine when to increase the size of you Cloud Bigtable cluster. Which two actions can you take to accomplish this? Choose 2 answers.

A. Review Key Visualizer metrics. Increase the size of the Cloud Bigtable cluster when the Read pressure index is above 100.

B. Review Key Visualizer metrics. Increase the size of the Cloud Bigtable cluster when the Write pressure index is above 100.

C. Monitor the latency of write operations. Increase the size of the Cloud Bigtable cluster when there is a sustained increase in write latency.

D. Monitor storage utilization. Increase the size of the Cloud Bigtable cluster when utilization increases above 70% of max capacity.

E. Monitor latency of read operations. Increase the size of the Cloud Bigtable cluster of read operations take longer than 100 ms.

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