Free Access Google.Professional-Cloud-Architect.v2022-08-15.q243 Practice Test (Page 17)

Question 76

You have created several pre-emptible Linux virtual machine instances using Google Compute Engine.
You want to properly shut down your application before the virtual machines are preempted.
What should you do?

A.Create a shutdown script named k99.shutdown in the /etc/rc.6.d/directory

B.Create a shutdown script registered as a xinetdservice in Linux and configure a Stackdriver endpoint check to call the service

C.Create a shutdown script and use it as the value for a new metadata entry with the key shutdown- scriptin the Cloud Platform Console when you create the new virtual machine instance

D.Create a shutdown script, registered as a xinetd service in Linux, and use the gcloud compute instances add-metadatacommand to specify the service URL as the value for a new metadata entry with the key shutdown-script-url

Question 77

Your customer support tool logs all email and chat conversations to Cloud Bigtable for retention and analysis.
What is the recommended approach for sanitizing this data of personally identifiable information or payment card information before initial storage?

A.Hash all data using SHA256

B.Encrypt all data using elliptic curve cryptography

C.De-identify the data with the Cloud Data Loss Prevention API

D.Use regular expressions to find and redact phone numbers, email addresses, and credit card numbers

Question 78

For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the
ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow
Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?

A.Google Kubernetes Engine with an SSL Ingress

B.Cloud IoT Core with public/private key pairs

C.Compute Engine with project-wide SSH keys

D.Compute Engine with specific SSH keys

Correct Answer: A

Explanation/Reference:
Testlet 1
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe
using a website and mobile application. The company also cultivates an active social network that
connects their users with designers and retailers. They monetize their services through advertising, e-
commerce, referrals, and a premium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers
and appliances in a collocated data center. However, the capacity of their infrastructure is now insufficient
for the application's rapid growth. Because of this growth and the company's desire to innovate faster,
Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and
test environments. They are also considering building a disaster recovery site, because their current
infrastructure is at a single location. They are not sure which components of their architecture they can
migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:

- MySQL - user data, inventory, static data
- Redis - metadata, social graph, caching
Application servers:

- Tomcat - Java micro-services
- Nginx - static content
- Apache Beam - Batch processing
Storage appliances:

- iSCSI for VM hosts
- Fiber channel SAN - MySQL databases
- NAS - image storage, logs, backups
Apache Hadoop/Spark servers:

- Data analysis
- Real-time trending calculations
MQ servers:

- Messaging
- Social notifications
- Events
Miscellaneous servers:

- Jenkins, monitoring, bastion hosts, security scanners
Business Requirements
Build a reliable and reproducible environment with scaled parity of production.

Improve security by defining and adhering to a set of security and Identity and Access Management

(IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.

Analyze and optimize architecture for performance in the cloud.

Migrate fully to the cloud if all other requirements are met.

Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud.

Support failover of the production environment to cloud during an emergency.

Identify production services that can migrate to cloud to save capacity.

Use managed services whenever possible.

Encrypt data on the wire and at rest.

Support multiple VPN connections between the production data center and cloud environment.

CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure.
They are also concerned that a new competitor could use a public cloud platform to offset their up-front
investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end
of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new
projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80%
of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause
an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our
total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50%
lower than our current model.

Question 79

Your company is moving 75 TB of data into Google Cloud. You want to use Cloud Storage and follow Googlerecommended practices. What should you do?

A.Move your data onto a Transfer Appliance. Use a Transfer Appliance Rehydrator to decrypt the data into Cloud Storage.

B.Move your data onto a Transfer Appliance. Use Cloud Dataprep to decrypt the data into Cloud Storage.

C.Install gsutil on each server that contains data. Use resumable transfers to upload the data into Cloud Storage.

D.Install gsutil on each server containing data. Use streaming transfers to upload the data into Cloud

Question 80

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 Bigtable

C.Google Cloud Storage

D.Google Cloud SQL

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Question 76

Question 77

Question 78

Question 79

Question 80

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