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Google Data Engineer Sample Questions:

1. You used Cloud Dataprep to create a recipe on a sample of data in a BigQuery table. You want to reuse this recipe on a daily upload of data with the same schema, after the load job with variable execution time completes. What should you do?

A) Create a cron schedule in Cloud Dataprep.
B) Export the Cloud Dataprep job as a Cloud Dataflow template, and incorporate it into a Cloud Composer job.
C) Create an App Engine cron job to schedule the execution of the Cloud Dataprep job.
D) Export the recipe as a Cloud Dataprep template, and create a job in Cloud Scheduler.

2. You work for a manufacturing company that sources up to 750 different components, each from a different supplier. You've collected a labeled dataset that has on average 1000 examples for each unique component. Your team wants to implement an app to help warehouse workers recognize incoming components based on a photo of the component. You want to implement the first working version of this app (as Proof-Of-Concept) within a few working days. What should you do?

A) Use Cloud Vision API by providing custom labels as recognition hints.
B) Use Cloud Vision AutoML with the existing dataset.
C) Train your own image recognition model leveraging transfer learning techniques.
D) Use Cloud Vision AutoML, but reduce your dataset twice.

3. By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?

A) Single, Global Window
B) Windows at every 1 minute
C) Windows at every 10 minutes
D) Windows at every 100 MB of data

4. As your organization expands its usage of GCP, many teams have started to create their own projects. Projects are further multiplied to accommodate different stages of deployments and target audiences. Each project requires unique access control configurations. The central IT team needs to have access to all projects. Furthermore, data from Cloud Storage buckets and BigQuery datasets must be shared for use in other projects in an ad hoc way. You want to simplify access control management by minimizing the number of policies. Which two steps should you take? Choose 2 answers.

A) Find all the active members who have access to these projects, and create a Cloud IAM policy to grant access to all these users.
B) For each Cloud Storage bucket or BigQuery dataset, decide which projects need acces
C) Introduce resource hierarchy to leverage access control policy inheritance.
D) Create distinct groups for various teams, and specify groups in Cloud IAM policies.
E) Use Cloud Deployment Manager to automate access provision.
F) Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.

5. You want to automate execution of a multi-step data pipeline running on Google Cloud. The pipeline includes Cloud Dataproc and Cloud Dataflow jobs that have multiple dependencies on each other. You want to use managed services where possible, and the pipeline will run every day. Which tool should you use?

A) Workflow Templates on Cloud Dataproc
B) cron
C) Cloud Scheduler
D) Cloud Composer

Solutions: