Professional-Cloud-Architect Practice Test

You want to enable your running Google Container Engine cluster to scale as demand for your application changes. What should you do?

A.

Option A

B.

Option B

C.

Option C

D.

Option D

You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes
from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where
should you store the data?

A.

Google BigQuery

B.

Google Cloud SQL

C.

Google Cloud Bigtable

D.

Google Cloud Storage

The database administration team has asked you to help them improve the performance of their new database
server running on Google Compute Engine. The database is for importing and normalizing their performance
statistics and is built with MySQL running on Debian Linux. They have an n1-standard-8 virtual machine with 80 GB of SSD persistent disk. What should they change to get better performance from this system?

A.

Increase the virtual machine's memory to 64 GB.

B.

Create a new virtual machine running PostgreSQL.

C.

Dynamically resize the SSD persistent disk to 500 GB.

D.

Migrate their performance metrics warehouse to BigQuery.

E.

Modify all of their batch jobs to use bulk inserts into the database.

Your organization requires that metrics from all applications be retained for 5 years for future analysis in
possible legal proceedings. Which approach should you use?

A.

Grant the security team access to the logs in each Project.

B.

Configure Stackdriver Monitoring for all Projects, and export to BigQuery.

C.

Configure Stackdriver Monitoring for all Projects with the default retention policies.

D.

Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage.

For this question, refer to the Dress4Win case study. Which of the compute services should be migrated as –is  and would still be an optimized architecture for performance in the cloud?

A.

Web applications deployed using App Engine standard environment

B.

RabbitMQ deployed using an unmanaged instance group

C.

Hadoop/Spark deployed using Cloud Dataproc Regional in High Availability mode

D.

Jenkins, monitoring, bastion hosts, security scanners services deployed on custom machine types