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Google Professional-Cloud-DevOps-Engineer is a certification exam that is designed to validate the skills and knowledge of professionals in cloud-based DevOps engineering. Professional-Cloud-DevOps-Engineer exam is designed for individuals who have experience in managing and deploying applications on Google Cloud Platform (GCP). Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam focuses on assessing the candidate's ability to design, develop, and manage a robust cloud-based DevOps environment using GCP services and tools.
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To prepare for the exam, candidates are advised to take relevant training courses, read the official study guide, and practice using the Google Cloud Platform. They should also have hands-on experience working with DevOps tools and technologies, such as Docker, Kubernetes, Jenkins, and Terraform. With the right preparation, candidates can pass the Google Professional-Cloud-DevOps-Engineer Exam and join the elite group of Cloud DevOps experts who are in high demand in the IT industry.
Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q26-Q31):
NEW QUESTION # 26
You encounter a large number of outages in the production systems you support. You receive alerts for all the outages that wake you up at night. The alerts are due to unhealthy systems that are automatically restarted within a minute. You want to set up a process that would prevent staff burnout while following Site Reliability Engineering practices. What should you do?
- A. Create an incident report for each of the alerts.
- B. Eliminate unactionable alerts.
- C. Redefine the related Service Level Objective so that the error budget is not exhausted.
- D. Distribute the alerts to engineers in different time zones.
Answer: B
Explanation:
Eliminate bad monitoring : Unactionable alerts (i.e., spam) https://cloud.google.com/blog/products/management-tools/meeting-reliability-challenges-with-sre-principles agree with kyubiblaze about having to remove unactionable items aka spam: "good monitoring alerts on actionable problems" @ https://cloud.google.com/blog/products/management-tools/meeting-reliability-challenges-with-sre-principles
NEW QUESTION # 27
Your team has recently deployed an NGINX-based application into Google Kubernetes Engine (GKE) and has exposed it to the public via an HTTP Google Cloud Load Balancer (GCLB) ingress. You want to scale the deployment of the application's frontend using an appropriate Service Level Indicator (SLI). What should you do?
- A. Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.
- B. Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.
- C. Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.
- D. Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.
Answer: C
NEW QUESTION # 28
Some of your production services are running in Google Kubernetes Engine (GKE) in the eu-west-1 region.
Your build system runs in the us-west-1 region. You want to push the container images from your build system to a scalable registry to maximize the bandwidth for transferring the images to the cluster. What should you do?
- A. Push the images to a private image registry running on a Compute Engine instance in the eu-west-1 region.
- B. Push the images to Google Container Registry (GCR) using the eu.gcr.io hostname.
- C. Push the images to Google Container Registry (GCR) using the gcr.io hostname.
- D. Push the images to Google Container Registry (GCR) using the us.gcr.io hostname.
Answer: B
Explanation:
Explanation
Hostname Storage location gcr.io Stores images in data centers in the United States asia.gcr.io Stores images in data centers in Asia eu.gcr.io Stores images in data centers within member states of the European Union us.gcr.io Stores images in data centers in the United States
NEW QUESTION # 29
You have a pool of application servers running on Compute Engine. You need to provide a secure solution that requires the least amount of configuration and allows developers to easily access application logs for troubleshooting. How would you implement the solution on GCP?
- A. * Install the gsutil command line tool on your application servers.
* Write a script using gsutil to upload your application log to a Cloud Storage bucket, and then schedule it to run via cron every 5 minutes.
* Give the developers IAM Object Viewer access to view the logs in the specified bucket. - B. * Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Viewer role to access Stackdriver and view logs. - C. * Deploy the Stackdriver monitoring agent to the application servers.
* Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics. - D. * Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Private Logs Viewer role to access Stackdriver and view logs.
Answer: B
Explanation:
Explanation
https://cloud.google.com/logging/docs/audit#access-control
NEW QUESTION # 30
You are building and running client applications in Cloud Run and Cloud Functions Your client requires that all logs must be available for one year so that the client can import the logs into their logging service You must minimize required code changes What should you do?
- A. Create a Pub/Sub topic subscription and logging sink Configure the logging sink to send all logs into the topic Give your client access to the topic to retrieve the logs
- B. Update all images in Cloud Run and all functions in Cloud Functions to send logs to both Cloud Logging and the client's logging service Ensure that all the ports required to send logs are open in the VPC firewall
- C. Create a storage bucket and appropriate VPC firewall rules Update all images in Cloud Run and all functions in Cloud Functions to send logs to a file within the storage bucket
- D. Create a logs bucket and logging sink. Set the retention on the logs bucket to 365 days Configure the logging sink to send logs to the bucket Give your client access to the bucket to retrieve the logs
Answer: D
Explanation:
Explanation
The best option for storing all logs for one year and minimizing required code changes is to create a logs bucket and logging sink, set the retention on the logs bucket to 365 days, configure the logging sink to send logs to the bucket, and give your client access to the bucket to retrieve the logs. A logs bucket is a Cloud Storage bucket that is used to store logs from Cloud Logging. A logging sink is a resource that defines where log entries are sent, such as a logs bucket, BigQuery dataset, or Pub/Sub topic. You can create a logs bucket and logging sink in Cloud Logging and set the retention on the logs bucket to 365 days. This way, you can ensure that all logs are stored for one year and protected from deletion. You can also configure the logging sink to send logs from Cloud Run and Cloud Functions to the logs bucket without any code changes. You can then give your client access to the logs bucket by using IAM policies or signed URLs.
NEW QUESTION # 31
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