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Question No. 1
You are managing several projects on Google Cloud and need to interact on a daily basis with
BigQuery, Bigtable and Kubernetes Engine using the gcloud CLI tool You are travelling a lot and
work on different workstations during the week You want to avoid having to manage the gcloud CLI
manually What should you do?
A. Use a package manager to install gcloud on your workstations instead of installing it
manually
B. Create a Compute Engine instance and install gcloud on the instance Connect to this
instance via SSH to always use the same gcloud installation when interacting with Google
Cloud
C. Install gcloud on all of your workstations Run the command gcloud components auto-update
on each workstation
D. Use Google Cloud Shell in the Google Cloud Console to interact with Google Cloud
Answer: D
Question No. 2
You are responsible for the Google Cloud environment in your company Multiple departments need
access to their own projects and the members within each department will have the same project
responsibilities You want to structure your Google Cloud environment for minimal maintenance and
maximum overview of 1AM permissions as each department's projects start and end You want to
follow Google-recommended practices What should you do?
A. Create a Google Group per department and add all department members to their respective
groups Create a folder per department and grant the respective group the required 1AM
permissions at the folder level Add the projects under the respective folders
B. Grant all department members the required 1AM permissions for their respective projects
C. Create a Google Group per department and add all department members to their respective
groups Grant each group the required I AM permissions fortheir respective projects
D. Create a folder per department and grant the respective members of the department the
required 1AM permissions at the folder level. Structure all projects for each department under
the respective folders
Answer: A
Question No. 3
Your company has just recently activated Cloud Identity to manage users. The Google Cloud
Organization has been configured as wed. The security learn needs to secure protects that will be
part of the Organization. They want to prohibit IAM users outside the domain from gaining
permissions from now on. What should they do?
A. Configure an organization policy to restrict identities by domain
B. Configure an organization policy to block creation of service accounts
C. Configure Cloud Scheduler o trigger a Cloud Function every hour that removes all users
that don't belong to the Cloud identity domain from all projects.
D. Create a technical user (e g . crawler@yourdomain com), and give it the protect owner rote
at root organization level Write a bash script that * Lists all me IAM rules of all projects within
the organization * Deletes all users that do not belong to the company domain Create a
Compute Engine instance m a project within the Organization and configure gcloud to be
executed with technical user credentials Configure a cron job that executes the bash script
every hour.
Answer: A
Question No. 4
You want to store critical business information in Cloud Storage buckets. The information is
regularly changed but previous versions need to be referenced on a regular basis. You want to
ensure that there is a record of all changes to any information in these buckets. You want to ensure
that accidental edits or deletions can be easily roiled back. Which feature should you enable?
A. Bucket Lock
B. Object Versioning
C. Object change notification
D. Object Lifecycle Management
Answer: B
Question No. 5
You are working with a data warehousing team that performs data analysis. The team needs to
process data from external partners, but the data contains personally identifiable information (PlI).
You need to process and store the data without storing any of the Pll dat
a. What should you do?
A. Create a Dataflow pipeline to retrieve the data from the external sources. As part of the
pipeline use the Cloud Data Loss Prevention (Cloud DLP) API to remove any Pll data Store the
result in BigQuery
B. Create a Dataflow pipeline to retrieve the data from the external sources. As part of the
pipeline store all non-PII data in BigQuery and store all Pll data in a Cloud Storage bucket that
has a retention policy set.
C. Ask the external partners to upload an data on Cloud Storage Configure Bucket Lock for the
bucket Create a Dataflow pipeline to read the data from the bucket As part of the pipeline, use
the Cloud Data Loss Prevention (Cloud DIP) API to remove any Pll data Store the result in
BigQuery
D. Ask the external partners to import ail data in your BigQuery dataset Create a dataflow
pipeline to copy the data into a new table As part of the Dataflow bucket skip all data in
columns that have Pll data
Answer: A
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