PROFESSIONAL-CLOUD-ARCHITECT LATEST TEST ANSWERS | NEW PROFESSIONAL-CLOUD-ARCHITECT TEST QUESTION

Professional-Cloud-Architect Latest Test Answers | New Professional-Cloud-Architect Test Question

Professional-Cloud-Architect Latest Test Answers | New Professional-Cloud-Architect Test Question

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The Google Certified Professional - Cloud Architect (GCP) certification exam is intended for individuals who have significant experience in cloud architecture and design, and are proficient in Google Cloud Platform services such as Compute Engine, App Engine, Kubernetes Engine, and Cloud Storage. Candidates must also have a deep understanding of cloud architecture principles, including security, performance, and cost optimization.

Google Professional-Cloud-Architect certification exam is an industry-standard credential designed to test the knowledge and expertise of professionals in cloud architecture. Google Certified Professional - Cloud Architect (GCP) certification program is offered by Google Cloud, one of the leading cloud computing service providers in the world. Google Certified Professional - Cloud Architect (GCP) certification exam assesses the candidate's ability to design, develop, and manage secure, scalable, and reliable cloud-based solutions using Google Cloud Platform (GCP).

Google Professional-Cloud-Architect Certification Exam is a highly sought-after certification for professionals seeking to demonstrate their expertise in designing, developing, and managing solutions on Google Cloud Platform (GCP). Professional-Cloud-Architect exam is designed to test the candidate's knowledge and skills in various areas of GCP, including security, networking, storage, compute, and application development. Google Certified Professional - Cloud Architect (GCP) certification is intended for cloud architects, solution architects, and technical leads who are responsible for designing and implementing GCP solutions for their organizations.

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q118-Q123):

NEW QUESTION # 118
You want to automate the creation of a managed instance group. The VMs have many OS package dependencies. You want to minimize the startup time for new VMs in the instance group.
What should you do?

  • A. Use Deployment Manager to create the managed instance group and Ansible to install the OS package dependencies.
  • B. Use Terraform to create the managed instance group and a startup script to install the OS package dependencies.
  • C. Use Puppet to create the managed instance group and install the OS package dependencies.
  • D. Create a custom VM image with all OS package dependencies. Use Deployment Manager to create the managed instance group with the VM image.

Answer: D


NEW QUESTION # 119
Mountkirk Games wants to limit the physical location of resources to their operating Google Cloud regions.
What should you do?

  • A. Configure a custom alert in Cloud Monitoring so you can disable resources as they are created in other regions.
  • B. Configure IAM conditions to limit what resources can be configured.
  • C. Configure the quotas for resources in the regions not being used to 0.
  • D. Configure an organizational policy which constrains where resources can be deployed.

Answer: D

Explanation:
Topic 8, Helicopter Racing League Case
Company overview
Helicopter Racing League (HRL) is a global sports league for competitive helicopter racing. Each year HRL holds the world championship and several regional league competitions where teams compete to earn a spot in the world championship. HRL offers a paid service to stream the races all over the world with live telemetry and predictions throughout each race.
Solution concept
HRL wants to migrate their existing service to a new platform to expand their use of managed AI and ML services to facilitate race predictions. Additionally, as new fans engage with the sport, particularly in emerging regions, they want to move the serving of their content, both real-time and recorded, closer to their users.
Existing technical environment
HRL is a public cloud-first company; the core of their mission-critical applications runs on their current public cloud provider. Video recording and editing is performed at the race tracks, and the content is encoded and transcoded, where needed, in the cloud. Enterprise-grade connectivity and local compute is provided by truck-mounted mobile data centers. Their race prediction services are hosted exclusively on their existing public cloud provider. Their existing technical environment is as follows:
Existing content is stored in an object storage service on their existing public cloud provider.
Video encoding and transcoding is performed on VMs created for each job.
Race predictions are performed using TensorFlow running on VMs in the current public cloud provider.
Business requirements
HRL's owners want to expand their predictive capabilities and reduce latency for their viewers in emerging markets. Their requirements are:
Support ability to expose the predictive models to partners.
Increase predictive capabilities during and before races:
Race results
Mechanical failures
Crowd sentiment
Increase telemetry and create additional insights.
Measure fan engagement with new predictions.
Enhance global availability and quality of the broadcasts.
Increase the number of concurrent viewers.
Minimize operational complexity.
Ensure compliance with regulations.
Create a merchandising revenue stream.
Technical requirements
Maintain or increase prediction throughput and accuracy.
Reduce viewer latency.
Increase transcoding performance.
Create real-time analytics of viewer consumption patterns and engagement.
Create a data mart to enable processing of large volumes of race data.
Executive statement
Our CEO, S. Hawke, wants to bring high-adrenaline racing to fans all around the world. We listen to our fans, and they want enhanced video streams that include predictions of events within the race (e.g., overtaking). Our current platform allows us to predict race outcomes but lacks the facility to support real-time predictions during races and the capacity to process season-long results.


NEW QUESTION # 120
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 1000 to allow the Active Directory traffic. Rely on the implied deny egress rule with priority 100 to block all traffic for all instances.
  • B. 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.
  • C. 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.
  • D. 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.

Answer: D

Explanation:
Explanation
https://cloud.google.com/vpc/docs/firewalls


NEW QUESTION # 121
The current Dress4win system architecture has high latency to some customers because it is located in one data center.
As of a future evaluation and optimizing for performance in the cloud, Dresss4win wants to distribute it's system architecture to multiple locations when Google cloud platform.
Which approach should they use?

  • A. Use regional managed instance groups and a global load balancer to increase performance because the regional managed instance group can grow instances in each region separately based on traffic.
  • B. Use regional managed instance groups and a global load balancer to increase reliability by providing automatic failover between zones in different regions.
  • C. Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines managed by your operations team.
  • D. Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines as part of a separate managed instance groups.

Answer: D


NEW QUESTION # 122
The current Dress4win system architecture has high latency to some customers because it is located in one data center.
As of a future evaluation and optimizing for performance in the cloud, Dresss4win wants to distribute it's system architecture to multiple locations when Google cloud platform.
Which approach should they use?

  • A. Use regional managed instance groups and a global load balancer to increase performance because the regional managed instance group can grow instances in each region separately based on traffic.
  • B. Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines as part of a separate managed instance groups.
  • C. Use regional managed instance groups and a global load balancer to increase reliability by providing automatic failover between zones in different regions.
  • D. Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines managed by your operations team.

Answer: A


NEW QUESTION # 123
......

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