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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. Which of the following is NOT one of the three main types of triggers that Dataflow supports?

A) Trigger based on element count
B) Trigger based on element size in bytes
C) Trigger based on time
D) Trigger that is a combination of other triggers

2. By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?

A) Windows at every 10 minutes
B) Windows at every 1 minute
C) Windows at every 100 MB of data
D) Single, Global Window

3. You are building a new data pipeline to share data between two different types of applications: jobs generators and job runners. Your solution must scale to accommodate increases in usage and must accommodate the addition of new applications without negatively affecting the performance of existing ones. What should you do?

A) Use a Cloud Pub/Sub topic to publish jobs, and use subscriptions to execute them
B) Create an API using App Engine to receive and send messages to the applications
C) Create a table on Cloud SQL, and insert and delete rows with the job information
D) Create a table on Cloud Spanner, and insert and delete rows with the job information

4. You are responsible for writing your company's ETL pipelines to run on an Apache Hadoop cluster. The pipeline will require some checkpointing and splitting pipelines. Which method should you use to write the pipelines?

A) HiveQL using Hive
B) Java using MapReduce
C) PigLatin using Pig
D) Python using MapReduce

5. Which of the following job types are supported by Cloud Dataproc (select 3 answers)?

A) Spark
B) Hive
C) Pig
D) YARN

Solutions: