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: May 24, 2026

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Question 1

A shipping company has live package-tracking data that is sent to an Apache Kafka stream in real time. This is then loaded into BigQuery. Analysts in your company want to query the tracking data in BigQuery to analyze geospatial trends in the lifecycle of a package. The table was originally created with ingest-date partitioning. Over time, the query processing time has increased. You need to implement a change that would improve query performance in BigQuery. What should you do?

A : plement clustering in BigQuery on the ingest date column.

B : plement clustering in BigQuery on the package-tracking ID column.

C : er older data onto Cloud Storage files, and leverage extended tables.

D : -create the table using data partitioning on the package delivery date.

Answer: A

Question 2

You have Cloud Functions written in Node.js that pull messages from Cloud Pub/Sub and send the data to BigQuery. You observe that the message processing rate on the Pub/Sub topic is orders of magnitude higher than anticipated, but there is no error logged in Stackdriver Log Viewer. What are the two most likely causes of this problem? Choose 2 answers.

A : blisher throughput quota is too small.

B : tal outstanding messages exceed the 10-MB maximum.

C : ror handling in the subscriber code is not handling run-time errors properly.

D : subscriber code cannot keep up with the messages.

E : subscriber code does not acknowledge the messages that it pulls.

Answer: C,D

Question 3

Your software uses a simple JSON format for all messages. These messages are published to Google Cloud Pub/Sub, then processed with Google Cloud Dataflow to create a real-time dashboard for the CFO. During testing, you notice that some messages are missing in the dashboard. You check the logs, and all messages are being published to Cloud Pub/Sub successfully. What should you do next?

A : eck the dashboard application to see if it is not displaying correctly.

B : n a fixed dataset through the Cloud Dataflow pipeline and analyze the output.

C : Google Stackdriver Monitoring on Cloud Pub/Sub to find the missing messages.

D : itch Cloud Dataflow to pull messages from Cloud Pub/Sub instead of Cloud Pub/Sub pushing messages to Cloud Dataflow.

Answer: B

Question 4

Messages are unexpectedly accumulating in service using Cloud Pub/Sub. A developer unfamiliar with Cloud Pub/Sub has asked for our help in diagnosing the problem. What would you point out with respect to how messages are removed from Cloud Pub/Sub topics?

A : Once at least one subscriber for each topic has acknowledged the message it will be deleted from storage.

B : Once at least one subscriber for each bucket has acknowledged the message it will be deleted from storage.

C : Once at least one subscriber for any subscription has acknowledged the message it will be deleted from storage.

D : Once at least one subscriber for each subscription has acknowledged the message it will be deleted from storage.

Answer: D

Question 5

You are creating a new pipeline in Google Cloud to stream IoT data from Cloud Pub/Sub through Cloud Dataflow to BigQuery. While previewing the data, you notice that roughly 2% of the data appears to be corrupt. You need to modify the Cloud Dataflow pipeline to filter out this corrupt data. What should you do?

A : a SideInput that returns a Boolean if the element is corrupt.

B : a ParDo transform in Cloud Dataflow to discard corrupt elements

C : a Partition transform in Cloud Dataflow to separate valid data from corrupt data.

D : a GroupByKey transform in Cloud Dataflow to group all of the valid data together and discard the rest.

Answer: B

Page: 1 / 95

Total 472 Questions | Updated On: May 24, 2026

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