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Google Professional-Data-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Data-Engineer
Exam Name:
Google Professional Data Engineer Exam
Certification:
Vendor:
Questions:
400
Last Updated:
May 23, 2026
Exam Status:
Stable
Google Professional-Data-Engineer

Professional-Data-Engineer: Google Cloud Certified Exam 2025 Study Guide Pdf and Test Engine

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Google Professional Data Engineer Exam Questions and Answers

Question 1

You need to deploy additional dependencies to all of a Cloud Dataproc cluster at startup using an existing initialization action. Company security policies require that Cloud Dataproc nodes do not have access to the Internet so public initialization actions cannot fetch resources. What should you do?

Options:

A.

Deploy the Cloud SQL Proxy on the Cloud Dataproc master

B.

Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet

C.

Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter

D.

Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role

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Question 2

You need to store and analyze social media postings in Google BigQuery at a rate of 10,000 messages per minute in near real-time. Initially, design the application to use streaming inserts for individual postings. Your application also performs data aggregations right after the streaming inserts. You discover that the queries after streaming inserts do not exhibit strong consistency, and reports from the queries might miss in-flight data. How can you adjust your application design?

Options:

A.

Re-write the application to load accumulated data every 2 minutes.

B.

Convert the streaming insert code to batch load for individual messages.

C.

Load the original message to Google Cloud SQL, and export the table every hour to BigQuery via streaming inserts.

D.

Estimate the average latency for data availability after streaming inserts, and always run queries after waiting twice as long.

Question 3

You are a head of BI at a large enterprise company with multiple business units that each have different priorities and budgets. You use on-demand pricing for BigQuery with a quota of 2K concurrent on-demand slots per project. Users at your organization sometimes don’t get slots to execute their query and you need to correct this. You’d like to avoid introducing new projects to your account.

What should you do?

Options:

A.

Convert your batch BQ queries into interactive BQ queries.

B.

Create an additional project to overcome the 2K on-demand per-project quota.

C.

Switch to flat-rate pricing and establish a hierarchical priority model for your projects.

D.

Increase the amount of concurrent slots per project at the Quotas page at the Cloud Console.