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QUESTION NO: 1
Your company uses BigQuery for data warehousing. Over time, many different business units in your company have created 1000+ datasets across hundreds of projects. Your CIO wants you to examine all datasets to find tables that contain an employee_ssn column. You want to minimize effort in performing this task. What should you do?
A. Write a shell script that uses the bq command line tool to loop through all the projects in your organization.
B. Write a Cloud Dataflow job that loops through all the projects in your organization and runs a query on INFORMATION_SCHEMCOLUMNS view to find employee_ssn column.
C. Write a script that loops through all the projects in your organization and runs a query on
INFORMATION_SCHEMCOLUMNS view to find the employee_ssn column.
D. Go to Data Catalog and search for employee_ssn in the search box.
Answer: B
QUESTION NO: 2
Your organization is a financial company that needs to store audit log files for 3 years. Your organization has hundreds of Google Cloud projects. You need to implement a cost-effective approach for log file retention. What should you do?
A. Create an export to the sink that saves logs from Cloud Audit to BigQuery.
B. Create an export to the sink that saves logs from Cloud Audit to a Coldline Storage bucket.
C. Write a custom script that uses logging API to copy the logs from Stackdriver logs to BigQuery.
D. Export these logs to Cloud Pub/Sub and write a Cloud Dataflow pipeline to store logs to Cloud SQL.
Answer: A
Reference:
https://cloud.google.com/logging/docs/audit/
QUESTION NO: 3
Your organization has user identities in Active Directory. Your organization wants to use Active
Directory as their source of truth for identities. Your organization wants to have full control over the
Google accounts used by employees for all Google services, including your Google Cloud Platform
(GCP) organization. What should you do?
A. Ask each employee to create a Google account using self signup. Require that each employee use their company email address and password.
B. Use the cloud Identity APIs and write a script to synchronize users to Cloud Identity.
C. Export users from Active Directory as a CSV and import them to Cloud Identity via the Admin
Console.
D. Use Google Cloud Directory Sync (GCDS) to synchronize users into Cloud Identity.
Answer: D
Reference:
https://cloud.google.com/solutions/federating-gcp-with-active-directory-introduction
QUESTION NO: 4
You want to configure 10 Compute Engine instances for availability when maintenance occurs.
Your requirements state that these instances should attempt to automatically restart if they crash.
Also, the instances should be highly available including during system maintenance. What should you do?
A. Create an instance group for the instance. Verify that the 'Advanced creation options' setting for
'do not retry machine creation' is set to off.
B. Create an instance template for the instances. Set the 'Automatic Restart' to on. Set the 'On-host maintenance' to Migrate VM instance. Add the instance template to an instance group.
C. Create an instance group for the instances. Set the 'Autohealing' health check to healthy (HTTP).
D. Create an instance template for the instances. Set 'Automatic Restart' to off. Set 'On-host maintenance' to Terminate VM instances. Add the instance template to an instance group.
Answer: D
QUESTION NO: 5
For analysis purposes, you need to send all the logs from all of your Compute Engine instances to a BigQuery dataset called platform-logs. You have already installed the Stackdriver Logging agent on all the instances. You want to minimize cost. What should you do?
A. 1. Give the BigQuery Data Editor role on the platform-logs dataset to the service accounts used by your instances.2. Update your instances' metadata to add the following value: logs-destination:
bq://platform-logs.
B. 1. Create a Cloud Function that has the BigQuery User role on the platform-logs dataset.2.
Configure this Cloud Function to create a BigQuery Job that executes this query:INSERT INTO dataset.platform-logs (timestamp, log)SELECT timestamp, log FROM compute.logsWHERE timestamp
> DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY)3. Use Cloud Scheduler to trigger this Cloud Function once a day.
C. 1. In Stackdriver Logging, create a filter to view only Compute Engine logs.2. Click Create Export.3.
Choose BigQuery as Sink Service, and the platform-logs dataset as Sink Destination.
D. 1. In Stackdriver Logging, create a logs export with a Cloud Pub/Sub topic called logs as a sink.2.
Create a Cloud Function that is triggered by messages in the logs topic.3. Configure that Cloud
Function to drop logs that are not from Compute Engine and to insert Compute Engine logs in the platform-logs dataset.
Answer: C
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Updated: May 28, 2022