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Google Professional-Data-Engineer Exam Dumps Questions and Answers

Exam Code: Professional-Data-Engineer
Certification: Google Cloud Certified
Vendor: Google
Last Update: Sep 2, 2026
Questions: 400 With Expert Explanation
10  Customers Passed Google Professional-Data-Engineer
94%  Average Success In Real Exam
95%  Questions came word by word from this dump
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Google Professional Data Engineer Exam Questions and Answers

Questions 1

Your company produces 20,000 files every hour. Each data file is formatted as a comma separated values (CSV) file that is less than 4 KB. All files must be ingested on Google Cloud Platform before they can be processed. Your company site has a 200 ms latency to Google Cloud, and your Internet connection bandwidth is limited as 50 Mbps. You currently deploy a secure FTP (SFTP) server on a virtual machine in Google Compute Engine as the data ingestion point. A local SFTP client runs on a dedicated machine to transmit the CSV files as is. The goal is to make reports with data from the previous day available to the executives by 10:00 a.m. each day. This design is barely able to keep up with the current volume, even though the bandwidth utilization is rather low.

You are told that due to seasonality, your company expects the number of files to double for the next three months. Which two actions should you take? (choose two.)

Options:

A.

Introduce data compression for each file to increase the rate file of file transfer.

B.

Contact your internet service provider (ISP) to increase your maximum bandwidth to at least 100 Mbps.

C.

Redesign the data ingestion process to use gsutil tool to send the CSV files to a storage bucket in parallel.

D.

Assemble 1,000 files into a tape archive (TAR) file. Transmit the TAR files instead, and disassemble the CSV files in the cloud upon receiving them.

E.

Create an S3-compatible storage endpoint in your network, and use Google Cloud Storage Transfer Service to transfer on-premices data to the designated storage bucket.

Questions 2

You are deploying a new storage system for your mobile application, which is a media streaming service. You decide the best fit is Google Cloud Datastore. You have entities with multiple properties, some of which can take on multiple values. For example, in the entity ‘Movie’ the property ‘actors’ and the property ‘tags’ have multiple values but the property ‘date released’ does not. A typical query would ask for all movies with actor=<actorname> ordered by date_released or all movies with tag=Comedy ordered by date_released. How should you avoid a combinatorial explosion in the number of indexes?

Options:

A.

Option A

B.

Option B.

C.

Option C

D.

Option D

Questions 3

You are choosing a NoSQL database to handle telemetry data submitted from millions of Internet-of-Things (IoT) devices. The volume of data is growing at 100 TB per year, and each data entry has about 100 attributes. The data processing pipeline does not require atomicity, consistency, isolation, and durability (ACID). However, high availability and low latency are required.

You need to analyze the data by querying against individual fields. Which three databases meet your requirements? (Choose three.)

Options:

A.

Redis

B.

HBase

C.

MySQL

D.

MongoDB

E.

Cassandra

F.

HDFS with Hive

Google Professional-Data-Engineer Exam Dumps FAQs

What is the Google Professional-Data-Engineer Exam?

The Google Professional-Data-Engineer exam validates an individual's expertise in designing, building, and maintaining data processing systems using Google Cloud Platform (GCP) technologies. It focuses on assessing the ability to design efficient and scalable data solutions, implement data processing systems, and ensure data security and compliance1.

What is the purpose of the Google Professional-Data-Engineer Exam?

The Google Professional-Data-Engineer exam assesses your ability to design data processing systems, ingest and process data, store data, prepare and use data for analysis, and maintain and automate data workloads.

What topics are covered in the Google Professional-Data-Engineer Exam?

The Google Professional-Data-Engineer exam covers designing data processing systems, ingesting and processing data, storing data, preparing and using data for analysis, and maintaining and automating data workloads.

How long is Google Professional-Data-Engineer Exam and how many questions does it include?

The Google Professional-Data-Engineer exam consists of 50 multiple-choice and multiple-select questions. It has a duration of 2 hours.

What is the passing score for the Google Professional-Data-Engineer Exam?

The passing score for the Google Professional-Data-Engineer exam is 80%.

What is the difference between Google Professional-Data-Engineer and Cloud-Digital-Leader Exams?

The Google Professional-Data-Engineer and Cloud-Digital-Leader exams cater to different skill sets and career paths within the Google Cloud ecosystem.

  • Google Professional-Data-Engineer Exam: The Google Professional-Data-Engineer Exam focuses on validating technical skills in designing, building, and maintaining data processing systems using Google Cloud Platform (GCP). It targets professionals with hands-on experience in managing and optimizing data solutions, emphasizing data engineering expertise.
  • Google Cloud-Digital-Leader Exam: Thye Google Cloud-Digital-Leader Exam aims to assess foundational knowledge of cloud computing and the strategic application of Google Cloud products and services. It's designed for individuals seeking to understand how cloud technology can drive business success and support organizational goals.

Where can I find reliable study materials and practice tests for the Google Professional-Data-Engineer Exam?

DumpsBuddy provides comprehensive Professional-Data-Engineer practice exams, and expert-verified dumps tailored for the Google Professional Data Engineer exam. Our Professional-Data-Engineer exam questions help candidates get hands-on experience with real exam answers and improve their chances of passing on the first attempt.

How much does the Google Professional-Data-Engineer Exam cost?

The Professional-Data-Engineer exam costs $200 USD plus applicable taxes. Prices may vary depending on the candidates location.

How do I become a Google Professional-Data-Engineer?

To become a Google Professional-Data-Engineer, gain relevant industry experience, study the exam topics, utilize Google's training resources, practice with Professional-Data-Engineer study materials and exams from DumpsBuddy, and finally, register for and pass the Professional-Data-Engineer exam. Once certified, you'll validate your expertise in data engineering on Google Cloud Platform, opening up new career opportunities.

What is the salary of Data-Engineer in Google?

The salary of a Data Engineer at Google ranges from $169,000 to $358,000 per year, with the median yearly compensation being around $267,000. This includes base salary, stock, and bonuses.

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