Google GCP-DE Exam : Data Engineer

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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. 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) Deploy the Cloud SQL Proxy on the Cloud Dataproc master
D) Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet

2. You work for a mid-sized enterprise that needs to move its operational system transaction data from an on-premises database to GCP. The database is about 20 TB in size. Which database should you choose?

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

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) Use a larger instance type for your Cloud Dataflow workers
B) 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
C) Create a temporary table in Cloud Bigtable that will act as a buffer for new data
D) Increase the number of max workers
E) 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
F) Change the zone of your Cloud Dataflow pipeline to run in us-central1
G) Create a temporary table in Cloud Spanner that will act as a buffer for new 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) Introduce resource hierarchy to leverage access control policy inheritance.
C) Create distinct groups for various teams, and specify groups in Cloud IAM policies.
D) Use Cloud Deployment Manager to automate access provision.
E) Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.
F) For each Cloud Storage bucket or BigQuery dataset, decide which projects need acces

5. Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer dat a. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?

A) Increase your network bandwidth from your datacenter to GCP.
B) Increase your network bandwidth from Compute Engine to Cloud Storage.
C) Increase the CPU size on your server.
D) Increase the size of the Google Persistent Disk on your server.

Solutions: