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: Apr 03, 2026

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Question 1

You have a data pipeline with a Cloud Dataflow job that aggregates and writes time series metrics to Cloud Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the data. Which two actions should you take? (Choose two.)

A : nfigure your Cloud Dataflow pipeline to use local execution

B : crease the maximum number of Cloud Dataflow workers by setting maxNumWorkers in PipelineOptions

C : crease the number of nodes in the Cloud Bigtable cluster

D : dify your Cloud Dataflow pipeline to use the Flatten transform before writing to Cloud Bigtable

E : dify your Cloud Dataflow pipeline to use the CoGroupByKey transform before writing to Cloud Bigtable

Answer: A,D

Question 2

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

Question 3

Which Java SDK class can you use to run your Dataflow programs locally?

A : calRunner

B : rectPipelineRunner

C : chineRunner

D : calPipelineRunner

Answer: B

Question 4

You are developing a data pipeline that will run several data transformation programs on Compute Engine virtual machines. You do not want to use your credentials for authenticating and authorizing these programs. You want to follow Google Cloud recommended practices, how would you authenticate and authorize the data transformation programs?

A : Create a Gmail account and use that account to create an IAM group. Store the password for the group in Secret Manager.

B : Create a service account and assign roles to the service account that are needed to execute the data transformation programs. Use Google managed keys to store both public and private portion of the service account keys.

C : Create a Gmail account and use that account to create an IAM user. Store the password for the account in Secret Manager.

D : Create a service account and assign roles to the service account that are needed to execute the data transformation programs. Use Secret Manager to store service account keys.

Answer: B

Question 5

You have historical data covering the last three years in BigQuery and a data pipeline that delivers new data to BigQuery daily. You have noticed that when the Data Science team runs a query filtered on a date column and limited to 30–90 days of data, the query scans the entire table. You also noticed that your bill is increasing more quickly than you expected. You want to resolve the issue as cost-effectively as possible while maintaining the ability to conduct SQL queries. What should you do?

A : -create the tables using DDL. Partition the tables by a column containing a TIMESTAMP or DATE Type.

B : commend that the Data Science team export the table to a CSV file on Cloud Storage and use Cloud Datalab to explore the data by reading the files directly.

C : dify your pipeline to maintain the last 30–90 days of data in one table and the longer history in a different table to minimize full table scans over the entire history.

D : ite an Apache Beam pipeline that creates a BigQuery table per day. Recommend that the Data Science team use wildcards on the table name suffixes to select the data they need.

Answer: C

Page: 1 / 95

Total 472 Questions | Updated On: Apr 03, 2026

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