EXAM PROFESSIONAL-CLOUD-DEVOPS-ENGINEER TOPICS | NEW PROFESSIONAL-CLOUD-DEVOPS-ENGINEER EXAM SAMPLE

Exam Professional-Cloud-DevOps-Engineer Topics | New Professional-Cloud-DevOps-Engineer Exam Sample

Exam Professional-Cloud-DevOps-Engineer Topics | New Professional-Cloud-DevOps-Engineer Exam Sample

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New Professional-Cloud-DevOps-Engineer Exam Sample, Free Sample Professional-Cloud-DevOps-Engineer Questions

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Google Professional-Cloud-DevOps-Engineer (Google Cloud Certified - Professional Cloud DevOps Engineer) Certification Exam is a valuable certification for cloud DevOps engineers who want to validate their skills and knowledge in designing, developing, and implementing cloud solutions using GCP services and tools. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam is challenging and requires candidates to have a good understanding of cloud computing, software development, and DevOps practices. Passing the certification exam can enhance the candidate's career prospects and demonstrate their expertise in cloud DevOps engineering.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q72-Q77):

NEW QUESTION # 72
You have deployed a fleet Of Compute Engine instances in Google Cloud. You need to ensure that monitoring metrics and logs for the instances are visible in Cloud Logging and Cloud Monitoring by your company's operations and cyber security teams. You need to grant the required roles for the Compute Engine service account by using Identity and Access Management (IAM) while following the principle of least privilege. What should you do?

  • A. Grant the logging. logWriter and monitoring. metricWriter roles to the Compute Engine service accounts.
  • B. Grant the Logging. admin and monitoring . editor roles to the Compute Engine service accounts.
  • C. Grant the logging.editor and monitoring.metricwriter roles to the Compute Engine service accounts.
  • D. Grant the logging. logwriter and monitoring. editor roles to the Compute Engine service accounts.

Answer: A

Explanation:
Explanation
The correct answer is D. Grant the logging.logWriter and monitoring.metricWriter roles to the Compute Engine service accounts.
According to the Google Cloud documentation, the Compute Engine service account is a Google-managed service account that is automatically created when you enable the Compute Engine API1. This service account is used by default to run your Compute Engine instances and access other Google Cloud services on your behalf1. To ensure that monitoring metrics and logs for the instances are visible in Cloud Logging and Cloud Monitoring, you need to grant the following IAM roles to the Compute Engine service account23:
The logging.logWriter role allows the service account to write log entries to Cloud Logging4.
The monitoring.metricWriter role allows the service account to write custom metrics to Cloud Monitoring5.
These roles grant the minimum permissions that are needed for logging and monitoring, following the principle of least privilege. The other roles are either unnecessary or too broad for this purpose. For example, the logging.editor role grants permissions to create and update logs, log sinks, and log exclusions, which are not required for writing log entries6. The logging.admin role grants permissions to delete logs, log sinks, and log exclusions, which are not required for writing log entries and may pose a security risk if misused. The monitoring.editor role grants permissions to create and update alerting policies, uptime checks, notification channels, dashboards, and groups, which are not required for writing custom metrics.


NEW QUESTION # 73
You need to define SLOs for a high-traffic web application. Customers are currently happy with the application performance and availability. Based on current measurement, the 90th percentile Of latency is 160 ms and the 95th percentile of latency is 300 ms over a 28-day window. What latency SLO should you publish?

  • A. 90th percentile - 150 ms95th percentile - 290 ms
  • B. 90th percentile - 160 ms95th percentile - 300 ms
  • C. 90th percentile - 190 ms95th percentile - 330 ms
  • D. 90th percentile - 300 ms95th percentile - 450 ms

Answer: B


NEW QUESTION # 74
Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to the production environment. A recent security audit alerted your team that the code pushed to production could contain vulnerabilities and that the existing tooling around virtual machine (VM) vulnerabilities no longer applies to the containerized environment. You need to ensure the security and patch level of all code running through the pipeline. What should you do?

  • A. Implement static code analysis tooling against the Docker files used to create the containers.
  • B. Set up Container Analysis to scan and report Common Vulnerabilities and Exposures.
  • C. Reconfigure the existing operating system vulnerability software to exist inside the container.
  • D. Configure the containers in the build pipeline to always update themselves before release.

Answer: A

Explanation:
https://cloud.google.com/binary-authorization
Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on Google Kubernetes Engine (GKE) or Cloud Run. With Binary Authorization, you can require images to be signed by trusted authorities during the development process and then enforce signature validation when deploying. By enforcing validation, you can gain tighter control over your container environment by ensuring only verified images are integrated into the build-and-release process.


NEW QUESTION # 75
You are using Terraform to manage infrastructure as code within a Cl/CD pipeline You notice that multiple copies of the entire infrastructure stack exist in your Google Cloud project, and a new copy is created each time a change to the existing infrastructure is made You need to optimize your cloud spend by ensuring that only a single instance of your infrastructure stack exists at a time. You want to follow Google-recommended practices What should you do?

  • A. Confirm that the pipeline is storing and retrieving the terraform. if state file from Cloud Storage with the Terraform gcs backend
  • B. Create a new pipeline to delete old infrastructure stacks when they are no longer needed
  • C. Update the pipeline to remove any existing infrastructure before you apply the latest configuration
  • D. Verify that the pipeline is storing and retrieving the terrafom.tfstat* file from a source control

Answer: C

Explanation:
The best option for optimizing your cloud spend by ensuring that only a single instance of your infrastructure stack exists at a time is to confirm that the pipeline is storing and retrieving the terraform.tfstate file from Cloud Storage with the Terraform gcs backend. The terraform.tfstate file is a file that Terraform uses to store the current state of your infrastructure. The Terraform gcs backend is a backend type that allows you to store the terraform.tfstate file in a Cloud Storage bucket. By using the Terraform gcs backend, you can ensure that your pipeline has access to the latest state of your infrastructure and avoid creating multiple copies of the entire infrastructure stack.


NEW QUESTION # 76
You support a production service that runs on a single Compute Engine instance. You regularly need to spend time on recreating the service by deleting the crashing instance and creating a new instance based on the relevant image. You want to reduce the time spent performing manual operations while following Site Reliability Engineering principles. What should you do?

  • A. Create a Stackdriver Monitoring dashboard with SMS alerts to be able to start recreating the crashed instance promptly after it has crashed.
  • B. Create a Managed Instance Group with a single instance and use health checks to determine the system status.
  • C. Add a Load Balancer in front of the Compute Engine instance and use health checks to determine the system status.
  • D. File a bug with the development team so they can find the root cause of the crashing instance.

Answer: C


NEW QUESTION # 77
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