Professional-Cloud-Architect Practice Test

During a high traffic portion of the day, one of your relational databases crashes, but the replica is never
promoted to a master. You want to avoid this in the future. What should you do?

A.

Use a different database.

B.

Choose larger instances for your database.

C.

Create snapshots of your database more regularly.

D.

Implement routinely scheduled failovers of your databases.

Question #:42 - (Exam Topic 5)
Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting. There are 1000 meeting rooms across 5 offices on 3 continents. Each room is equipped with a motion sensor that reports its status every second. The data from the motion detector includes only a sensor ID and several
different discrete items of information. Analysts will use this data, together with information about account owners and office locations. Which database type should you use?

A.

Flat file

B.

NoSQL

C.

Relational

D.

Blobstore

You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud
services that run on Google Compute Engine with Cloud Bigtable. Which three requirements should they
include? Choose 3 answers

A.

Ensure that the load tests validate the performance of Cloud Bigtable.

B.

Create a separate Google Cloud project to use for the load-testing environment.

C.

Schedule the load-testing tool to regularly run against the production environment.

D.

Ensure all third-party systems your services use are capable of handling high load.

E.

Instrument the production services to record every transaction for replay by the load-testing tool.

F.

Instrument the load-testing tool and the target services with detailed logging and metrics collection

To reduce costs, the Director of Engineering has required all developers to move their development
infrastructure resources from on-premises virtual machines (VMs) to Google Cloud Platform. These resources
go through multiple start/stop events during the day and require state to persist. You have been asked to design
the process of running a development environment in Google Cloud while providing cost visibility to the
finance department. Which two steps should you take? Choose 2 answers

A.

Use the --no-auto-delete flag on all persistent disks and stop the VM.

B.

Use the -auto-delete flag on all persistent disks and terminate the VM.

C.

Apply VM CPU utilization label and include it in the BigQuery billing export.

D.

Use Google BigQuery billing export and labels to associate cost to groups.

E.

Store all state into local SSD, snapshot the persistent disks, and terminate the VM.

F.

Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM.

Your company's user-feedback portal comprises a standard LAMP stack replicated across two zones. It is
deployed in the us-central1 region and uses autoscaled managed instance groups on all layers, except the
database. Currently, only a small group of select customers have access to the portal. The portal meets a
99.99% availability SLA under these conditions However next quarter, your company will be making the
portal available to all users, including unauthenticated users. You need to develop a resiliency testing strategy
to ensure the system maintains the SLA once they introduce additional user load. What should you do?

A.

Capture existing users input, and replay captured user load until autoscale is triggered on all layers. At
the same time, terminate all resources in one of the zones.

B.

Create synthetic random user input, replay synthetic load until autoscale logic is triggered on at least one
layer, and introduce "chaos" to the system by terminating random resources on both zones

C.

Expose the new system to a larger group of users, and increase group ' size each day until autoscale
logic is tnggered on all layers. At the same time, terminate random resources on both zones.

D.

Capture existing users input, and replay captured user load until resource utilization crosses 80%. Also,
derive estimated number of users based on existing users usage of the app, and deploy enough resources
to handle 200% of expected load.