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

You want to archive data in Cloud Storage. Because some data is very sensitive, you want to use the “Trust No One” (TNO) approach to encrypt your data to prevent the cloud provider staff from decrypting your data. What should you do?

A : gcloud kms keys create to create a symmetric key. Then use gcloud kms encrypt to encrypt each archival file with the key and unique additional authenticated data (AAD). Use gsutil cp to upload each encrypted file to the Cloud Storage bucket, and keep the AAD outside of Google Cloud.

B : gcloud kms keys create to create a symmetric key. Then use gcloud kms encrypt to encrypt each archival file with the key. Use gsutil cp to upload each encrypted file to the Cloud Storage bucket. Manually destroy the key previously used for encryption, and rotate the key once and rotate the key once.

C : ecify customer-supplied encryption key (CSEK) in the .boto configuration file. Use gsutil cp to upload each archival file to the Cloud Storage bucket. Save the CSEK in Cloud Memorystore as permanent storage of the secret.

D : ecify customer-supplied encryption key (CSEK) in the .boto configuration file. Use gsutil cp to upload each archival file to the Cloud Storage bucket. Save the CSEK in a different project that only the security team can access.

Answer: B

Question 2

You need to migrate a 2TB relational database to Google Cloud Platform. You do not have the resources to

significantly refactor the application that uses this database and cost to operate is of primary concern.

Which service do you select for storing and serving your data?

A : oud Spanner

B : oud Bigtable

C : oud Firestore

D : oud SQL

Answer: D

Question 3

Your company is running their first dynamic campaign, serving different offers by analyzing real-time data during the holiday season. The data scientists are collecting terabytes of data that rapidly grows every hour during their 30-day campaign. They are using Google Cloud Dataflow to preprocess the data and collect the feature (signals) data that is needed for the machine learning model in Google Cloud Bigtable. The team is observing suboptimal performance with reads and writes of their initial load of 10 TB of data. They want to improve this performance while minimizing cost. What should they do?

A : define the schema by evenly distributing reads and writes across the row space of the table.

B : performance issue should be resolved over time as the site of the BigDate cluster is increased.

C : design the schema to use a single row key to identify values that need to be updated frequently in the cluster.

D : design the schema to use row keys based on numeric IDs that increase sequentially per user viewing the offers.

Answer: A

Question 4

You are using Google BigQuery as your data warehouse. Your users report that the following simple query is running very slowly, no matter when they run the query: SELECT country, state, city FROM [myproject:mydataset.mytable] GROUP BY country You check the query plan for the query and see the following output in the Read section of Stage:1:

What is the most likely cause of the delay for this query?

A : ers are running too many concurrent queries in the system

B : [myproject:mydataset.mytable] table has too many partitions

C : ther the state or the city columns in the [myproject:mydataset.mytable] table have too many NULL values

D : t rows in the [myproject:mydataset.mytable] table have the same value in the country column, causing data skew

Answer: A

Question 5

Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer data. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?

A : crease the CPU size on your server.

B : crease the size of the Google Persistent Disk on your server.

C : crease your network bandwidth from your datacenter to GCP.

D : crease your network bandwidth from Compute Engine to Cloud Storage.

Answer: C

Page: 1 / 95

Total 472 Questions | Updated On: Sep 22, 2026

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