Professional-Data-Engineer考試 - Professional-Data-Engineer測試

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Google Professional-Data-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified Professional Data Engineer Exam
Exam Number:	Professional Data Engineer
Certificate Validity Period:	2 years
Available Languages:	Portuguese, Spanish, English, German, French, Japanese
Passing Score:	Not publicly disclosed (scaled scoring system)
Exam Price:	$200 USD
Exam Duration:	120 minutes
Real Exam Qty:	Approximately 50–60 multiple choice and multiple select questions
Exam Format:	case study, multiple choice, multiple select
Related Certifications:	Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Professional Data Analytics Engineer Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Machine Learning Engineer
Recommended Training:	Google Cloud Professional Data Engineer Course (Coursera) Google Cloud Data Engineering Learning Path
Exam Registration:	Google Cloud Certification Registration
Sample Questions:	Google Professional-Data-Engineer Sample Questions
Exam Way:	Online proctored exam or onsite test center (Kryterion Webassessor)
Pre Condition:	No formal prerequisites required; recommended experience with data processing and Google Cloud Platform services
Official Syllabus URL:	https://cloud.google.com/learn/certification/data-engineer

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最真實的Professional-Data-Engineer認證考古題

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最新的 Google Cloud Certified Professional-Data-Engineer 免費考試真題 (Q376-Q381):

問題 #376
You are developing an Apache Beam pipeline to extract data from a Cloud SQL instance by using JdbcIO. You have two projects running in Google Cloud. The pipeline will be deployed and executed on Dataflow in Project A. The Cloud SQL. instance is running in Project B and does not have a public IP address. After deploying the pipeline, you noticed that the pipeline failed to extract data from the Cloud SQL instance due to connection failure. You verified that VPC Service Controls and shared VPC are not in use in these projects. You want to resolve this error while ensuring that the data does not go through the public internet. What should you do?

A. Add the external IP addresses of the Dataflow worker as authorized networks in the Cloud SQL instance.
B. Turn off the external IP addresses on the Dataflow worker. Enable Cloud NAT in Project A.
C. Set up VPC Network Peering between Project A and Project B. Add a firewall rule to allow the peered subnet range to access all instances on the network.
D. Set up VPC Network Peering between Project A and Project B. Create a Compute Engine instance without external IP address in Project B on the peered subnet to serve as a proxy server to the Cloud SQL database.

答案：C

問題 #377
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. Retry the query every second until it comes back online to minimize staleness of data.
B. Issue a command to restart the database servers.
C. Reduce the query frequency to once every hour until the database comes back online.
D. Retry the query with exponential backoff, up to a cap of 15 minutes.

答案：D

解題說明：
https://cloud.google.com/sql/docs/mysql/manage-connections#backoff

問題 #378
A shipping company has live package-tracking data that is sent to an Apache Kafka stream in real time. This is then loaded into BigQuery. Analysts in your company want to query the tracking data in BigQuery to analyze geospatial trends in the lifecycle of a package. The table was originally created with ingest-date partitioning.
Over time, the query processing time has increased. You need to implement a change that would improve query performance in BigQuery. What should you do?

A. Implement clustering in BigQuery on the ingest date column.
B. Implement clustering in BigQuery on the package-tracking ID column.
C. Tier older data onto Google Cloud Storage files and create a BigQuery table using GCS as an external data source.
D. Re-create the table using data partitioning on the package delivery date.

答案：B

問題 #379
Your neural network model is taking days to train. You want to increase the training speed. What can you do?

A. Increase the number of layers in your neural network.
B. Increase the number of input features to your model.
C. Subsample your test dataset.
D. Subsample your training dataset.

答案：D

解題說明：
Subsampling is the method to increase the training speed.

問題 #380
You need to move 2 PB of historical data from an on-premises storage appliance to Cloud Storage within six months, and your outbound network capacity is constrained to 20 Mb/sec. How should you migrate this data to Cloud Storage?

A. Create a private URL for the historical data, and then use Storage Transfer Service to copy the data to Cloud Storage
B. Use Transfer Appliance to copy the data to Cloud Storage
C. Use gsutil cp -J to compress the content being uploaded to Cloud Storage
D. Use trickle or ionice along with gsutil cp to limit the amount of bandwidth gsutil utilizes to less than 20 Mb/sec so it does not interfere with the production traffic

答案：B

問題 #381
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Professional-Data-Engineer測試: https://tw.fast2test.com/Professional-Data-Engineer-premium-file.html

此外，這些Fast2test Professional-Data-Engineer考試題庫的部分內容現在是免費的：https://drive.google.com/open?id=1XTo_YtQYV19grrKzy2uvyvAdZOSl7W08