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Google Cloud Certified Google Professional Data Engineer Exam

Google Professional Data Engineer Exam

Last Update Feb 3, 2026
Total Questions : 387

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Questions 2

You are planning to use Cloud Storage as pad of your data lake solution. The Cloud Storage bucket will contain objects ingested from external systems. Each object will be ingested once, and the access patterns of individual objects will be random. You want to minimize the cost of storing and retrieving these objects. You want to ensure that any cost optimization efforts are transparent to the users and applications. What should you do?

Options:

A.  

Create a Cloud Storage bucket with Autoclass enabled.

B.  

Create a Cloud Storage bucket with an Object Lifecycle Management policy to transition objects from Standard to Coldline storage class if an object age reaches 30 days.

C.  

Create a Cloud Storage bucket with an Object Lifecycle Management policy to transition objects from Standard to Coldline storage class if an object is not live.

D.  

Create two Cloud Storage buckets. Use the Standard storage class for the first bucket, and use the Coldline storage class for the second bucket. Migrate objects from the first bucket to the second bucket after 30 days.

Discussion 0
Questions 3

Your company currently runs a large on-premises cluster using Spark Hive and Hadoop Distributed File System (HDFS) in a colocation facility. The duster is designed to support peak usage on the system, however, many jobs are batch n nature, and usage of the cluster fluctuates quite dramatically.

Your company is eager to move to the cloud to reduce the overhead associated with on-premises infrastructure and maintenance and to benefit from the cost savings. They are also hoping to modernize their existing infrastructure to use more servers offerings m order to take advantage of the cloud Because of the tuning of their contract renewal with the colocation facility they have only 2 months for their initial migration How should you recommend they approach thee upcoming migration strategy so they can maximize their cost savings in the cloud will still executing the migration in time?

Options:

A.  

Migrate the workloads to Dataproc plus HOPS, modernize later

B.  

Migrate the workloads to Dataproc plus Cloud Storage modernize later

C.  

Migrate the Spark workload to Dataproc plus HDFS, and modernize the Hive workload for BigQuery

D.  

Modernize the Spark workload for Dataflow and the Hive workload for BigQuery

Discussion 0
Questions 4

You are designing a data processing pipeline. The pipeline must be able to scale automatically as load increases. Messages must be processed at least once, and must be ordered within windows of 1 hour. How should you design the solution?

Options:

A.  

Use Apache Kafka for message ingestion and use Cloud Dataproc for streaming analysis.

B.  

Use Apache Kafka for message ingestion and use Cloud Dataflow for streaming analysis.

C.  

Use Cloud Pub/Sub for message ingestion and Cloud Dataproc for streaming analysis.

D.  

Use Cloud Pub/Sub for message ingestion and Cloud Dataflow for streaming analysis.

Discussion 0
Questions 5

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 2 answers

Options:

A.  

Use Pub/Sub Seek with a timestamp.

B.  

Use the Pub/Sub subscription clear-retry-policy flag.

C.  

Create a new Pub/Sub subscription two days before the deployment.

D.  

Use the Pub/Sub subscription retain-asked-messages flag.

E.  

Use Pub/Sub Snapshot capture two days before the deployment.

Discussion 0
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