Free Google Professional-Data-Engineer Exam Questions

Become Google Certified with updated Professional-Data-Engineer exam questions and correct answers

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Total 472 Questions | Updated On: Sep 22, 2026

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Question 1

How would you query specific partitions in a BigQuery table?

A : the DAY column in the WHERE clause

B : the EXTRACT(DAY) clause

C : the __PARTITIONTIME pseudo-column in the WHERE clause

D : DATE BETWEEN in the WHERE clause

Answer: C

Question 2

You have several Spark jobs that run on a Cloud Dataproc cluster on a schedule. Some of the jobs run in sequence, and some of the jobs run concurrently. You need to automate this process. What should you do?

A : eate a Cloud Dataproc Workflow Template

B : eate an initialization action to execute the jobs

C : eate a Directed Acyclic Graph in Cloud Composer

D : eate a Bash script that uses the Cloud SDK to create a cluster, execute jobs, and then tear down the cluster

Answer: C

Question 3

You are creating a model to predict housing prices. Due to budget constraints, you must run it on a single resource-constrained virtual machine. Which learning algorithm should you use?

A : near regression

B : gistic classification

C : current neural network

D : edforward neural network

Answer: A

Question 4

A insurance claim review company provides expert opinion on contested insurance claims. The company uses Google Cloud for it's data analysis pipelines. Clients of the company upload documents to Cloud Storage. When a file is uploaded, the company wants to immediately move the files to a Classified Data bucket if the file contains personally identifying information. What method would you recommend to accomplish this?

A : Create a quarantine bucket for uploading, once a file is uploaded trigger a Cloud Function to call a custom built machine learning model trained to detect PII. If PII is detected, move the file to the Classified Data bucket.

B : Create a quarantine bucket for uploading, once a file is uploaded trigger a Cloud Function to call the Data Loss Prevention API to apply infotypes to detect PII. If PII is detected, move file to the Classified Data bucket.

C : Create a quarantine bucket for uploading, use Cloud Scheduler to run a job to run hourly that will call a custom built machine learning model trained to detect PII. If PII is detected, move file to the Classified Data bucket.

D : Create a quarantine bucket for uploading, use Cloud Scheduler to run a job to run hourly that will call the Data Loss Prevention API to apply infotypes to detect PII. If PII is detected, move file to the Classified Data bucket.

Answer: B

Question 5

You are training a deep learning model for a classification task. The precision and recall of the model is quite low. What could you do to improve the precision and recall scores?

A : Use L1 regularization

B : Use L2 regularization

C : Use more training instances

D : Use dropout

Answer: C

Page: 1 / 95

Total 472 Questions | Updated On: Sep 22, 2026

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