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: Nov 10, 2026

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Question 1

You stream order data by using a Dataflow pipeline, and write the aggregated result to Memorystore. You

provisioned a Memorystore for Redis instance with Basic Tier. 4 GB capacity, which is used by 40 clients for

read-only access. You are expecting the number of read-only clients to increase significantly to a few hundred

and you need to be able to support the demand. You want to ensure that read and write access availability is

not impacted, and any changes you make can be deployed quickly. What should you do?

A : Create multiple new Memorystore for Redis instances with Basic Tier (4 GB capacity) Modify theDataflow pipeline and new clients to use all instances

B : Create a new Memorystore for Redis instance with Standard Tier Set capacity to 4 GB and read replicato No read replicas (high availability only). Delete the old instance.

C : Create a new Memorystore for Memcached instance Set a minimum of three nodes, and memory pernode to 4 GB. Modify the Dataflow pipeline and all clients to use the Memcached instance Delete theold instance.

D : Create a new Memorystore for Redis instance with Standard Tier Set capacity to 5 GB and createmultiple read replicas Delete the old instance.

Answer: D

Question 2

Which of the following is NOT a valid use case to select HDD (hard disk drives) as the storage for Google Cloud Bigtable?

A : u expect to store at least 10 TB of data.

B : u will mostly run batch workloads with scans and writes, rather than frequently executing random reads of a small number of rows.

C : u need to integrate with Google BigQuery.

D : u will not use the data to back a user-facing or latency-sensitive application.

Answer: C

Question 3

Analysts are using Cloud Data Studio for analyzing data sets. They would like to improve the performance of the time required to update tables and charts when working with the data. What would you recommend they try to improve performance?

A : Use an imported data source

B : Use a blended data source

C : Use a live data source

D : Use an extracted data source

Answer: D

Question 4

You are using BigQuery with a regional dataset that includes a table with the daily sales volumes. This table is updated multiple times per day. You need to protect your sales table in case of regional failures with a recovery point objective (RPO) of less than 24 hours, while keeping costs to a minimum. What should you do?

A : Schedule a daily BigQuery snapshot of the table.

B : Schedule a daily export of the table to a Cloud Storage dual or multi-region bucket.

C : Schedule a daily copy of the dataset to a backup region.

D : Modify ETL job to load the data into both the current and another backup region.

Answer: A

Question 5

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

Page: 1 / 95

Total 472 Questions | Updated On: Nov 10, 2026

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