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Google Professional-Data-Engineer Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Google Cloud Professional Data Engineer Exam
Exam Number:Professional-Data-Engineer
Passing Score:700 / 1000
Available Languages:Japanese, English
Exam Duration:120 minutes
Real Exam Qty:40 - 50
Exam Format:Multiple select, Multiple choice
Exam Price:USD 200 (plus tax where applicable)
Related Certifications:Google Cloud Professional Cloud Architect
Google Cloud Associate Cloud Engineer
Google Cloud Professional Data Analyst
Certificate Validity Period:2 years
Recommended Training:Official Exam Guide
Google Cloud Professional Data Engineer Learning Path
Exam Registration:Google Cloud Certification Registration
Sample Questions:Google Professional-Data-Engineer Sample Questions
Exam Way:Online-proctored or onsite-proctored
Pre Condition:No mandatory prerequisites; recommended 3+ years industry experience, including 1+ year designing and managing Google Cloud data solutions
Official Syllabus URL:https://cloud.google.com/learn/certification/data-engineer

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To be eligible for the Google Professional-Data-Engineer Certification, candidates need to have a strong understanding of data engineering principles and practical experience in building and deploying data processing systems. Google Certified Professional Data Engineer Exam certification is ideal for professionals who work in data engineering or related fields, such as data analysis, business intelligence, and data science. It is also suitable for individuals who aspire to become data engineers and want to learn more about the field.

Google Certified Professional Data Engineer Exam Sample Questions (Q24-Q29):

NEW QUESTION # 24
You have Cloud Functions written in Node.js that pull messages from Cloud Pub/Sub and send the data to BigQuery. You observe that the message processing rate on the Pub/Sub topic is orders of magnitude higher than anticipated, but there is no error logged in Stackdriver Log Viewer. What are the two most likely causes of this problem? Choose 2 answers.

Answer: B,E


NEW QUESTION # 25
You work for a mid-sized enterprise that needs to move its operational system transaction data from an on-premises database to GCP. The database is about 20 TB in size. Which database should you choose?

Answer: D


NEW QUESTION # 26
You have a streaming pipeline that ingests data from Pub/Sub in production. You need to update this streaming pipeline with improved business logic. You need to ensure that the updated pipeline reprocesses the previous two days of delivered Pub/Sub messages. What should you do? (Choose two.)

Answer: D,E


NEW QUESTION # 27
Your analytics team wants to build a simple statistical model to determine which customers are most likely
to work with your company again, based on a few different metrics. They want to run the model on Apache
Spark, using data housed in Google Cloud Storage, and you have recommended using Google Cloud
Dataproc to execute this job. Testing has shown that this workload can run in approximately 30 minutes on
a 15-node cluster, outputting the results into Google BigQuery. The plan is to run this workload weekly.
How should you optimize the cluster for cost?

Answer: D


NEW QUESTION # 28
You have a data pipeline with a Cloud Dataflow job that aggregates and writes time series metrics to Cloud Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the dat
a. Which two actions should you take? (Choose two.)

Answer: C,D

Explanation:
References:


NEW QUESTION # 29
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