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Google Data Engineer Sample Questions:

1. 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?

A) Cloud SQL
B) Cloud Bigtable
C) Cloud Spanner
D) Cloud Datastore

2. The YARN ResourceManager and the HDFS NameNode interfaces are available on a Cloud Dataproc cluster .

A) master node
B) worker node
C) application node
D) conditional node

3. What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?

A) Windows
B) Sessions
C) Triggers
D) OutputCriteria

4. Which of these is not a supported method of putting data into a partitioned table?

A) Create a partitioned table and stream new records to it every day.
B) If you have existing data in a separate file for each day, then create a partitioned table and upload each file into the appropriate partition.
C) Use ORDER BY to put a table's rows into chronological order and then change the table's type to "Partitioned".
D) Run a query to get the records for a specific day from an existing table and for the destination table, specify a partitioned table ending with the day in the format "$YYYYMMDD".

5. You used Cloud Dataprep to create a recipe on a sample of data in a BigQuery table. You want to reuse this recipe on a daily upload of data with the same schema, after the load job with variable execution time completes. What should you do?

A) Create a cron schedule in Cloud Dataprep.
B) Export the Cloud Dataprep job as a Cloud Dataflow template, and incorporate it into a Cloud Composer job.
C) Create an App Engine cron job to schedule the execution of the Cloud Dataprep job.
D) Export the recipe as a Cloud Dataprep template, and create a job in Cloud Scheduler.

Solutions: