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Google Data Engineer Sample Questions:
1. Which of these sources can you not load data into BigQuery from?
A) File upload
B) Google Cloud SQL
C) Google Drive
D) Google Cloud Storage
2. 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 timestamp followed by a stock symbol
B) A non-sequential numeric ID
C) A stock symbol followed by a timestamp
D) A sequential numeric ID
3. 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) Export the Cloud Dataprep job as a Cloud Dataflow template, and incorporate it into a Cloud Composer job.
B) Create a cron schedule in Cloud Dataprep.
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.
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) Use Cloud Deployment Manager to automate access provision.
B) Introduce resource hierarchy to leverage access control policy inheritance.
C) Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.
D) Create distinct groups for various teams, and specify groups in Cloud IAM policies.
E) Find all the active members who have access to these projects, and create a Cloud IAM policy to grant access to all these users.
F) For each Cloud Storage bucket or BigQuery dataset, decide which projects need acces
5. Which of the following job types are supported by Cloud Dataproc (select 3 answers)?
A) YARN
B) Pig
C) Spark
D) Hive
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A,D | Question # 3 Answer: D | Question # 4 Answer: B,D | Question # 5 Answer: B,C,D |






