Google Professional-Cloud-Architect Certified Questions - Professional-Cloud-Architect Training Online

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Google Professional-Cloud-Architect Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified Professional Cloud Architect Exam
Exam Number:	Professional Cloud Architect
Exam Format:	Multiple choice, Case study-based questions, Multiple select
Available Languages:	Japanese, French, Portuguese, Spanish, English
Exam Price:	$200 USD
Certificate Validity Period:	2 years
Related Certifications:	Google Cloud Professional Data Engineer Google Cloud Professional Cloud Security Engineer Google Cloud Professional Cloud Developer Google Cloud Professional Cloud Network Engineer Google Cloud Digital Leader Google Cloud Associate Cloud Engineer
Passing Score:	Not publicly disclosed (scaled score; commonly reported passing threshold ~70%)
Exam Duration:	120 minutes
Real Exam Qty:	Approximately 50–60 questions
Recommended Training:	Coursera Google Cloud Professional Cloud Architect Training Google Cloud Skills Boost - Cloud Architect Learning Path
Exam Registration:	Professional Cloud Architect Exam Page Google Cloud Certification Portal
Sample Questions:	Google Professional-Cloud-Architect Sample Questions
Exam Way:	Online proctored or onsite test center exam
Pre Condition:	No formal prerequisites required, but Google recommends prior experience with Google Cloud and cloud architecture design.
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-architect

>> Google Professional-Cloud-Architect Certified Questions <<

Google Professional-Cloud-Architect Training Online & New Professional-Cloud-Architect Practice Questions

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Google Professional-Cloud-Architect certification exam has been designed to validate the skills of cloud professionals who are interested in designing and developing solutions on Google Cloud Platform. Candidates who pass the exam will have demonstrated their expertise in designing and implementing cloud solutions that are scalable, reliable, and secure. Professional-Cloud-Architect Exam covers a wide range of topics, including cloud architecture, infrastructure, security, and compliance. Candidates are required to demonstrate their knowledge of these topics by answering multiple-choice questions, case studies, and scenarios.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q162-Q167):

NEW QUESTION # 162
Your company is running AI/ML workloads on graphics processing units (GPUs) within Google Kubernetes Engine (GKE). These workloads are deployed across production and development projects, with the production environment being business critical and operating 24/7. You need to ensure that the GPU capacity is always available during scaling events, without being limited by overall GPU availability. You also need the ability to shift unused GPU capacity from production to development projects as needed. You want to follow Google-recommended best practices. What should you do?

A. Create a shared reservation in the production project, and then add the development project as a consumer project to move capacity when needed.
B. Create an owner project with shared reservations, and then configure the production project and development project as consumer projects to consume capacity.
C. Create a reservation in the production project, and then transfer the reservation to the development project when needed.
D. Create a reservation in the production project, and then create a separate reservation in the development project to secure capacity.

Answer: B

Explanation:
According to Compute Engine documentation on Shared Reservations , the most flexible and manageable way to handle capacity across multiple projects is to use a centralized Owner Project . This is a dedicated project used to create and manage the reservation, which is then shared with " Consumer Projects " (in this case, your GKE production and development projects).
This architecture specifically addresses the requirement to " ensure GPU capacity is always available " by securing the resources at the organizational level. Because the reservation is shared , the GPU capacity is not
" locked " into a single project. If the production environment scales down and leaves unused capacity in the shared pool, the development project can immediately consume those reserved GPUs for its own scaling needs without requiring manual transfers or new configurations.
Google ' s Best Practices for Shared Reservations recommend that the owner project should only own the reservation and not necessarily consume it, which simplifies billing and quota management. Option D is technically possible but less " manageable " at scale than a centralized owner project. Options A and B lack the automated, fluid capacity shifting required by the AI/ML workload ' s dynamic scaling needs.
The following solutions are based on Google Cloud Architect documents and industry-standard best practices for global content delivery, data migration, and high-performance file access.

NEW QUESTION # 163
Your organization uses separate Google Cloud projects for shared services, development, testing, and production.
- The shared services project hosts your private CI/CD runners and a
central Artifact Registry
- The development, testing, and production projects host the GKE
clusters where applications are deployed.
You need to design an architecture that allows the CI/CD runners to connect to the GKE clusters and the clusters to pull images from Artifact Registry, all using private IP addresses. However, direct network traffic between the development, testing, and production environments must be strictly prohibited. What should you do?

A. Create a separate VPC in each of the four projects. Connect each environment's VPC to the shared services VPC through VPC Network Peering.
B. Configure the shared services project as a Shared VPC host. Create a single VPC in this host project and attach the environment projects as service projects.
C. Create a separate VPC in each project. Use VPC Network Peering to create a full mesh, connecting every VPC directly to every other VPC.
D. Expose the resources in the shared services project using an external load balancer. Implement a firewall rule to limit access.

Answer: A

Explanation:
Creating separate VPCs for shared services, development, testing, and production, and then peering only each environment VPC with the shared services VPC forms a hub-and-spoke design. This allows:
- CI/CD runners (in shared services VPC) to reach each GKE cluster over private IP.
- GKE clusters (in env VPCs) to pull images privately from Artifact Registry (via Private Service Connect / VPC-SC aware patterns).
- No direct connectivity between dev, test, and prod, because VPC Network Peering is non- transitive and you do not peer the environment VPCs with each other, thus enforcing strong isolation by design.

NEW QUESTION # 164
Your company is running a stateless application on a Compute Engine instance. The application is used heavily during regular business hours and lightly outside of business hours. Users are reporting that the application is slow during peak hours. You need to optimize the application's performance. What should you do?

A. Create a snapshot of the existing disk. Create an instance template from the snapshot. Create an autoscaled managed instance group from the instance template.
B. Create an instance template from the existing disk. Create a custom image from the instance template.
Create an autoscaled managed instance group from the custom image.
C. Create a custom image from the existing disk. Create an instance template from the custom image. Create an autoscaled managed instance group from the instance template.
D. Create a snapshot of the existing disk. Create a custom image from the snapshot. Create an autoscaled managed instance group from the custom image.

Answer: D

Explanation:
https://cloud.google.com/compute/docs/instance-templates/create-instance-templates

NEW QUESTION # 165
All compute Engine instances in your VPC should be able to connect to an Active Directory server on specific ports. Any other traffic emerging from your instances is not allowed. You want to enforce this using VPC firewall rules.
How should you configure the firewall rules?

A. Create an egress rule with priority 100 to deny all traffic for all instances. Create another egress rule with priority 1000 to allow the Active Directory traffic for all instances.
B. Create an egress rule with priority 1000 to allow the Active Directory traffic. Rely on the implied deny egress rule with priority 100 to block all traffic for all instances.
C. Create an egress rule with priority 1000 to deny all traffic for all instances. Create another egress rule with priority 100 to allow the Active Directory traffic for all instances.
D. Create an egress rule with priority 100 to allow the Active Directory traffic. Rely on the implied deny egress rule with priority 1000 to block all traffic for all instances.

Answer: A

NEW QUESTION # 166
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 a Google Container Engine cluster to serve the website and store data to persistent disk.
B. Use a single compute Engine virtual machine (VM) to host a web server, backed by Google Cloud SQL.
C. Use Google App Engine to serve the website and Google Cloud Datastore to store user data.
D. Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.

Answer: B

NEW QUESTION # 167
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