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 12, 2026

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Question 1

You work for a bank. You have a labelled dataset that contains information on already granted loan application and whether these applications have been defaulted. You have been asked to train a model to predict default rates for credit applicants. What should you do?

A : crease the size of the dataset by collecting additional data.

B : ain a linear regression to predict a credit default risk score.

C : move the bias from the data and collect applications that have been declined loans.

D : tch loan applicants with their social profiles to enable feature engineering.

Answer: B

Question 2

Your weather app queries a database every 15 minutes to get the current temperature. The frontend is powered by Google App Engine and server millions of users. How should you design the frontend to respond to a database failure?

A : ue a command to restart the database servers.

B : try the query with exponential backoff, up to a cap of 15 minutes.

C : try the query every second until it comes back online to minimize staleness of data.

D : duce the query frequency to once every hour until the database comes back online.

Answer: B

Question 3

If you're running a performance test that depends upon Cloud Bigtable, all the choices except one below are recommended steps. Which is NOT a recommended step to follow?

A : not use a production instance.

B : n your test for at least 10 minutes.

C : fore you test, run a heavy pre-test for several minutes.

D : at least 300 GB of data.

Answer: A

Question 4

You have a data pipeline that writes data to Cloud Bigtable using well-designed row keys. You want to monitor your pipeline to determine when to increase the size of you Cloud Bigtable cluster. Which two actions can you take to accomplish this? Choose 2 answers.

A : view Key Visualizer metrics. Increase the size of the Cloud Bigtable cluster when the Read pressure index is above 100

B : view Key Visualizer metrics. Increase the size of the Cloud Bigtable cluster when the Write pressure index is above 100.

C : nitor the latency of write operations. Increase the size of the Cloud Bigtable cluster when there is a sustained increase in write latency.

D : nitor storage utilization. Increase the size of the Cloud Bigtable cluster when utilization increases above 70% of max capacity

E : nitor latency of read operations. Increase the size of the Cloud Bigtable cluster of read operations take longer than 100 ms

Answer: A,C

Question 5

You have some data, which is shown in the graphic below. The two dimensions are X and Y, and the shade of each dot represents what class it is. You want to classify this data accurately using a linear algorithm

To do this you need to add a synthetic feature. What should the value of that feature be?

A : 2+Y^2

B : 2

C : (X)

Answer: C

Page: 1 / 95

Total 472 Questions | Updated On: May 12, 2026

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