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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. Which row keys are likely to cause a disproportionate number of reads and/or writes on a particular node in a Bigtable cluster (select 2 answers)?

A) A sequential numeric ID
B) A non-sequential numeric ID
C) A timestamp followed by a stock symbol
D) A stock symbol followed by a timestamp

2. What are the minimum permissions needed for a service account used with Google Dataproc?

A) Write to Google Cloud Storage; read to Google Cloud Logging
B) Read and write to Google Cloud Storage; write to Google Cloud Logging
C) Execute to Google Cloud Storage; write to Google Cloud Logging
D) Execute to Google Cloud Storage; execute to Google Cloud Logging

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

4. Which of the following statements is NOT true regarding Bigtable access roles?

A) You can configure access control only at the project level.
B) Using IAM roles, you cannot give a user access to only one table in a project, rather than all tables in a project.
C) To give a user access to only one table in a project, grant the user the Bigtable Editor role for that table.
D) To give a user access to only one table in a project, you must configure access through your application.

5. Which Cloud Dataflow / Beam feature should you use to aggregate data in an unbounded data source every hour based on the time when the data entered the pipeline?

A) An hourly watermark
B) A processing time trigger
C) The with Allowed Lateness method
D) An event time trigger

Solutions: