Free Practice Google Professional-Data-Engineer Exam Questions 2025

Stay ahead with 100% Free Cloud Certified Professional Data Engineer Professional-Data-Engineer Dumps Practice Questions

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Total 472 Questions | Updated On: Apr 21, 2025

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Question 1

You have a BigQuery table that ingests data directly from a Pub/Sub subscription. The ingested data is

encrypted with a Google-managed encryption key. You need to meet a new organization policy that requires

you to use keys from a centralized Cloud Key Management Service (Cloud KMS) project to encrypt data at

rest. What should you do?

A : Create a new BigOuory table by using customer-managed encryption keys (CMEK), and migrate thedata from the old BigQuery table

B : Create a new BigOuery table and Pub/Sub topic by using customer-managed encryption keys (CMEK),and migrate the data from the old Bigauery table.

C : Create a new Pub/Sub topic with CMEK and use the existing BigQuery table by using Google-managedencryption key.

D : Use Cloud KMS encryption key with Dataflow to ingest the existing Pub/Sub subscription to theexisting BigQuery table.

Answer: A

Question 2

You are consulting to a company developing an IoT application that analyzes data from sensors deployed on drones. The application depends on a database that can write large volumes of data at low latency. The company has used Hadoop HBase in the past but wants to migrate to a managed database service. What service would you recommend?

A : Bigtable

B : Cloud Firestore

C : Cloud Spanner

D : BigQuery

Answer: A

Question 3

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 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

Your company is currently setting up data pipelines for their campaign. For all the Google Cloud Pub/Sub streaming data, one of the important business requirements is to be able to periodically identify the inputs and their timings during their campaign. Engineers have decided to use windowing and transformation in Google Cloud Dataflow for this purpose. However, when testing this feature, they find that the Cloud Dataflow job fails for the all streaming insert. What is the most likely cause of this problem?

A : They have not assigned the timestamp, which causes the job to fail

B : They have not set the triggers to accommodate the data coming in late, which causes the job to fail

C : They have not applied a global windowing function, which causes the job to fail when the pipeline is created

D : They have not applied a non-global windowing function, which causes the job to fail when the pipeline is created

Answer: C

Page: 1 / 95

Total 472 Questions | Updated On: Apr 21, 2025

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