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Google Data Engineer Sample Questions:

1. What are all of the BigQuery operations that Google charges for?

A) Storage, queries, and streaming inserts
B) Storage, queries, and loading data from a file
C) Queries and streaming inserts
D) Storage, queries, and exporting data

2. 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 Datastore
C) Cloud Bigtable
D) BigQuery

3. You are running a pipeline in Cloud Dataflow that receives messages from a Cloud Pub/Sub topic and writes the results to a BigQuery dataset in the EU. Currently, your pipeline is located in europe-west4 and has a maximum of 3 workers, instance type n1-standard-1. You notice that during peak periods, your pipeline is struggling to process records in a timely fashion, when all 3 workers are at maximum CPU utilization. Which two actions can you take to increase performance of your pipeline? (Choose two.)

A) Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Spanner to BigQuery
B) Change the zone of your Cloud Dataflow pipeline to run in us-central1
C) Create a temporary table in Cloud Bigtable that will act as a buffer for new data
D) Create a temporary table in Cloud Spanner that will act as a buffer for new data
E) Use a larger instance type for your Cloud Dataflow workers
F) Increase the number of max workers
G) Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Bigtable to BigQuery

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

5. When using Cloud Dataproc clusters, you can access the YARN web interface by configuring a browser to connect through a proxy.

A) SOCKS
B) HTTPS
C) HTTP
D) VPN

Solutions: