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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. You are selecting services to write and transform JSON messages from Cloud Pub/Sub to BigQuery for a data pipeline on Google Cloud. You want to minimize service costs. You also want to monitor and accommodate input data volume that will vary in size with minimal manual intervention. What should you do?

A) Use Cloud Dataproc to run your transformation
B) Configure the job to use non-default Compute Engine machine types when needed.
C) Use Cloud Dataflow to run your transformation
D) Resize the number of worker nodes in your cluster via the command line.
E) Monitor the job system lag with Stackdrive
F) Use the default autoscaling setting for worker instances.
G) Use Cloud Dataproc to run your transformation
H) Use Cloud Dataflow to run your transformation
I) Use the diagnose command to generate an operational output archiv
J) Monitor the total execution time for a sampling of job
K) Monitor CPU utilization for the cluste
L) Locate the bottleneck and adjust cluster resources.

2. Which of these rules apply when you add preemptible workers to a Dataproc cluster (select 2 answers)?

A) Preemptible workers cannot store data.
B) A Dataproc cluster cannot have only preemptible workers.
C) If a preemptible worker is reclaimed, then a replacement worker must be added manually.
D) Preemptible workers cannot use persistent disk.

3. If you're running a performance test that depends upon Cloud Bigtable, all the choices except one below are recommended steps. Which is NOT a recommended step to follow?

A) Before you test, run a heavy pre-test for several minutes.
B) Do not use a production instance.
C) Use at least 300 GB of data.
D) Run your test for at least 10 minutes.

4. Which of these sources can you not load data into BigQuery from?

A) Google Cloud Storage
B) File upload
C) Google Drive
D) Google Cloud SQL

5. You want to process payment transactions in a point-of-sale application that will run on Google Cloud Platform. Your user base could grow exponentially, but you do not want to manage infrastructure scaling.
Which Google database service should you use?

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

Solutions: