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Google Data Engineer Sample Questions:

1. Cloud Dataproc is a managed Apache Hadoop and Apache service.

A) Ignite
B) Fire
C) Blaze
D) Spark

2. You need to choose a database for a new project that has the following requirements:
Fully managed
Able to automatically scale up
Transactionally consistent
Able to scale up to 6 TB
Able to be queried using SQL Which database do you choose?

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

3. What is the general recommendation when designing your row keys for a Cloud Bigtable schema?

A) Keep the row keep as an 8 bit integer
B) Keep your row key reasonably short
C) Keep your row key as long as the field permits
D) Include multiple time series values within the row key

4. You need to deploy additional dependencies to all of a Cloud Dataproc cluster at startup using an existing initialization action. Company security policies require that Cloud Dataproc nodes do not have access to the Internet so public initialization actions cannot fetch resources. What should you do?

A) Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role
B) Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter
C) Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet
D) Deploy the Cloud SQL Proxy on the Cloud Dataproc master

5. You are creating a new pipeline in Google Cloud to stream IoT data from Cloud Pub/Sub through Cloud Dataflow to BigQuery. While previewing the data, you notice that roughly 2% of the data appears to be corrupt. You need to modify the Cloud Dataflow pipeline to filter out this corrupt data. What should you do?

A) Add a ParDo transform in Cloud Dataflow to discard corrupt elements.
B) Add a Partition transform in Cloud Dataflow to separate valid data from corrupt data.
C) Add a SideInput that returns a Boolean if the element is corrupt.
D) Add a GroupByKey transform in Cloud Dataflow to group all of the valid data together and discard the rest.

Solutions: