CertsTopics Logo

New Year Sale 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: save70

Google Professional-Data-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Data-Engineer
Exam Name:
Google Professional Data Engineer Exam
Certification:
Google Cloud Certified
Vendor:
Google
Questions:
387
Last Updated:
Jan 2, 2026
Exam Status:
Stable
Google Professional-Data-Engineer

Professional-Data-Engineer: Google Cloud Certified Exam 2025 Study Guide Pdf and Test Engine

Are you worried about passing the Google Professional-Data-Engineer (Google Professional Data Engineer Exam) exam? Download the most recent Google Professional-Data-Engineer braindumps with answers that are 100% real. After downloading the Google Professional-Data-Engineer exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the Google Professional-Data-Engineer exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the Google Professional-Data-Engineer exam on your first attempt, we have compiled actual exam questions and their answers. 

Our (Google Professional Data Engineer Exam) Study Materials are designed to meet the needs of thousands of candidates globally. A free sample of the CompTIA Professional-Data-Engineer test is available at CertsTopics. Before purchasing it, you can also see the Google Professional-Data-Engineer practice exam demo.

Get Professional-Data-Engineer Full Access

Related Google Exams

Google Professional Data Engineer Exam Questions and Answers

Get Free Professional-Data-Engineer Questions and Answers
Question 1

You have data pipelines running on BigQuery, Cloud Dataflow, and Cloud Dataproc. You need to perform health checks and monitor their behavior, and then notify the team managing the pipelines if they fail. You also need to be able to work across multiple projects. Your preference is to use managed products of features of the platform. What should you do?

Options:

A.

Export the information to Cloud Stackdriver, and set up an Alerting policy

B.

Run a Virtual Machine in Compute Engine with Airflow, and export the information to Stackdriver

C.

Export the logs to BigQuery, and set up App Engine to read that information and send emails if you find a failure in the logs

D.

Develop an App Engine application to consume logs using GCP API calls, and send emails if you find a failure in the logs

Buy Now
Question 2

Your company uses a proprietary system to send inventory data every 6 hours to a data ingestion service in the cloud. Transmitted data includes a payload of several fields and the timestamp of the transmission. If there are any concerns about a transmission, the system re-transmits the data. How should you deduplicate the data most efficiency?

Options:

A.

Assign global unique identifiers (GUID) to each data entry.

B.

Compute the hash value of each data entry, and compare it with all historical data.

C.

Store each data entry as the primary key in a separate database and apply an index.

D.

Maintain a database table to store the hash value and other metadata for each data entry.

Question 3

You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do?

Options:

A.

Load the data every 30 minutes into a new partitioned table in BigQuery.

B.

Store and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery

C.

Store the data in Google Cloud Datastore. Use Google Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Cloud Datastore

D.

Store the data in a file in a regional Google Cloud Storage bucket. Use Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Google Cloud Storage.

Get Free Professional-Data-Engineer Questions and Answers