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Google Data Engineer Sample Questions:

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

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

2. 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) Use ORDER BY to put a table's rows into chronological order and then change the table's type to "Partitioned".
C) 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".
D) 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.

3. You want to migrate an on-premises Hadoop system to Cloud Dataproc. Hive is the primary tool in use, and the data format is Optimized Row Columnar (ORC). All ORC files have been successfully copied to a Cloud Storage bucket. You need to replicate some data to the cluster's local Hadoop Distributed File System (HDFS) to maximize performance. What are two ways to start using Hive in Cloud Dataproc? (Choose two.)

A) Leverage Cloud Storage connector for Hadoop to mount the ORC files as external Hive table
B) Run the gsutil utility to transfer all ORC files from the Cloud Storage bucket to any node of the Dataproc cluste
C) Replicate external Hive tables to the native ones.
D) Run the gsutil utility to transfer all ORC files from the Cloud Storage bucket to HDF
E) Mount the Hive tables locally.
F) Leverage BigQuery connector for Hadoop to mount the BigQuery tables as external Hive table
G) Then run the Hadoop utility to copy them do HDF
H) Mount the Hive tables locally.
I) Run the gsutil utility to transfer all ORC files from the Cloud Storage bucket to the master node of the Dataproc cluste
J) Mount the Hive tables from HDFS.
K) Load the ORC files into BigQuer
L) Replicate external Hive tables to the native ones.

4. 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 Bigtable
B) Cloud Datastore
C) Cloud SQL
D) Cloud Spanner

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

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

Solutions: