Free Google Professional-Data-Engineer Exam Questions
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Google Professional-Data-Engineer Exam Questions
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Provided By: Google
- Exam: Cloud Certified Professional Data Engineer
- Certification: Google Cloud Certified
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Total Questions: 472
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Updated On: Jun 06, 2025
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Rated: 4.9 |
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Online Users: 944
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Question 1
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You have a BigQuery table that ingests data directly from a Pub/Sub subscription. The ingested data is
encrypted with a Google-managed encryption key. You need to meet a new organization policy that requires
you to use keys from a centralized Cloud Key Management Service (Cloud KMS) project to encrypt data at
rest. What should you do?
Answer: A
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You have a BigQuery table that ingests data directly from a Pub/Sub subscription. The ingested data is
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Question 2
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You are developing a data pipeline that will run several data transformation programs on Compute Engine virtual machines. You do not want to use your credentials for authenticating and authorizing these programs. You want to follow Google Cloud recommended practices, how would you authenticate and authorize the data transformation programs?
Answer: B
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You are developing a data pipeline that will run several data transformation programs on Compute Engine virtual machines. You do not want to use your credentials for authenticating and authorizing these programs. You want to follow Google Cloud recommended practices, how would you authenticate and authorize the data transformation programs?
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Question 3
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You receive data files in CSV format monthly from a third party. You need to cleanse this data, but every thirdmonth the schema of the files changes. Your requirements for implementing these transformations include:Executing the transformations on a scheduleEnabling non-developer analysts to modify transformationsProviding a graphical tool for designing transformationsWhat should you do?
Answer: D
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Question 4
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By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?
Answer: B
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By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?
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Question 5
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A manufacturer of delivery drones is implementing a new data analysis pipeline to detect part failures before they occur. The drones have multiple sensors that send performance and environment data to an analytics pipeline. Currently, data is sent to a REST API endpoint. The REST API endpoint that receives data cannot always keep up with the pace data is arriving. When that happens, data is lost. Machine learning engineers have asked you to change the ingestion process to reduce this data loss. What would you do?
Answer: A
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A manufacturer of delivery drones is implementing a new data analysis pipeline to detect part failures before they occur. The drones have multiple sensors that send performance and environment data to an analytics pipeline. Currently, data is sent to a REST API endpoint. The REST API endpoint that receives data cannot always keep up with the pace data is arriving. When that happens, data is lost. Machine learning engineers have asked you to change the ingestion process to reduce this data loss. What would you do?