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Professional-Cloud-Architect Practice Test


Page 12 out of 51 Pages

Topic 5, Misc Questions

A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files The database is about to run out of storage space How can you remediate the problem with the least amount of downtime?


A.

In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in
Linux.


B.

Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then
restart the virtual machine.


C.

In the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready
to use with the fdisk command in Linux.


D.

In the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and
mount it, and configure the database service to move the files to the new disk.


E.

In the Cloud Platform Console, create a snapshot of the persistent disk, restore the snapshot to a new
larger disk, unmount the old disk, mount the new disk, and restart the database service





A.
  

In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in
Linux.



Your company has decided to build a backup replica of their on-premises user authentication PostgreSQL
database on Google Cloud Platform. The database is 4 TB, and large updates are frequent. Replication requires private address space communication. Which networking approach should you use?


A.

Google Cloud Dedicated Interconnect


B.

Google Cloud VPN connected to the data center network


C.

A NAT and TLS translation gateway installed on-premises


D.

A Google Compute Engine instance with a VPN server installed connected to the data center network





B.
  

Google Cloud VPN connected to the data center network



https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations

Your marketing department wants to send out a promotional email campaign. The development team wants to
minimize direct operation management. They project a wide range of possible customer responses, from 100
to 500,000 click-throughs per day. The link leads to a simple website that explains the promotion and collects
user information and preferences. Which infrastructure should you recommend?


A.

Use Google App Engine to serve the website and Google Cloud Datastore to store user data.


B.

Use a Google Container Engine cluster to serve the website and store data to persistent disk.


C.

Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.


D.

Use a single compute Engine virtual machine (VM) to host a web server, backed by Google Cloud SQL.





A.
  

Use Google App Engine to serve the website and Google Cloud Datastore to store user data.



Your customer is receiving reports that their recently updated Google App Engine application is taking
approximately 30 seconds to load for some of their users. This behavior was not reported before the update. What strategy should you take?


A.

Work with your ISP to diagnose the problem.


B.

Open a support ticket to ask for network capture and flow data to diagnose the problem, then roll back
your application.


C.

Roll back to an earlier known good release initially, then use Stackdriver Trace and logging to diagnose
the problem in a development/test/staging environment.


D.

Roll back to an earlier known good release, then push the release again at a quieter period to investigate.
Then use Stackdriver Trace and logging to diagnose the problem.





D.
  

Roll back to an earlier known good release, then push the release again at a quieter period to investigate.
Then use Stackdriver Trace and logging to diagnose the problem.



You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine. The script is printing errors that it cannot connect to BigQuery. What should you do to fix the script?


A.

Install the latest BigQuery API client library for Python


B.

Run your script on a new virtual machine with the BigQuery access scope enabled
Create a new service account with BigQuery access and execute your script with that user
Install the bq component for gccloud with the command gcloud components install bq.


C.

Create a new service account with BigQuery access and execute your script with that user


D.

Install the bq component for gccloud with the command gcloud components install bq.





A.
  

Install the latest BigQuery API client library for Python




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