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Useful Professional-Cloud-DevOps-Engineer Dumps & Google Dump Professional-Cloud-DevOps-Engineer File: Google Cloud Certified - Professional Cloud DevOps Engineer Exam Finally Passed

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Google Professional-Cloud-DevOps-Engineer is a certification exam offered by Google Cloud that tests the skills and knowledge of professionals in the field of cloud-based DevOps. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification demonstrates a candidate's ability to design, implement, and manage DevOps practices on the Google Cloud platform. It requires a solid understanding of software development, deployment, and cloud infrastructure management.

Google Professional-Cloud-DevOps-Engineer exam is a certification program designed to validate the skills and knowledge of professionals who are working in the field of cloud DevOps engineering. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification program is offered by Google Cloud and it is specifically designed for individuals who are interested in developing and deploying applications on the Google Cloud Platform (GCP).

Topics of Google Professional Cloud DevOps Engineer Exam

Candidates must know the exam topics before they start preparation because it will help them in hitting the core. Our Professional Cloud DevOps Engineer Dumps will include the following topics:

Applying site reliability engineering principles to a service

Manage a service (e.g., introduce a new service, deploy it, maintain and retire it)
Discover SLIs (availability, latency, etc.)
Toil automation
Define SLOs and understand SLAs

Building and implementing CI/CD pipelines for a service

Deployment to hybrid and multi-cloud environments with Anthos, Spinnaker, Kubernetes
Immutable artifacts with Container Registry
Artifact repositories with Container Registry
Design CI/CD pipelines:

Implementing service monitoring strategies

Collecting third-party and structured logs with Stackdriver Logging, Fluentd
Implementing a project-level / org-level export
Manage application logs:
Sending application logs directly to Stackdriver API with Stackdriver Logging
Collecting logs from Compute Engine, GKE with Stackdriver Logging, Fluentd
Set ACL to allow metric writing for custom metrics with IAM, Stackdriver Monitoring
Enabling data access logs (e.g., Cloud Audit Logs)
Set ACL to restrict access to audit logs with IAM, Stackdriver Logging
Viewing logs in the GCP Console
Understanding the logging exclusion vs. logging export
Using basic vs. advanced logging filters
Set ACL to restrict export configuration with IAM, Stackdriver Logging
Enabling VPC flow logs
Selecting the options for logging export

Optimizing service performance

TCO considerations
Troubleshoot network issues (e.g., VPC flow logs, firewall logs, latency, view network details)
identify resource costs
Consider network pricing
Identify service performance issues:
Interpret service mesh telemetry
Identify resource utilization levels
Work with committed-use discounts
Evaluate and understand user impact (Stackdriver Service Monitoring for App Engine, Istio)
Utilize Stackdriver Trace/Profiler to profile performance characteristics
Manage preemptible VMs

Managing service incidents

Perform an investigation to isolate the most likely actual cause
Identify alternatives to mitigate the issue
Scaling response team and delegation
Identify probable causes of service failure
Avoid exhaustion/burnout
Rotate/hand over roles
Establish communications channels (email, IRC, Hangouts, Slack, phone, etc.)
Record major changes in incident state (When mitigated? When all clear? etc.)
Evaluate symptoms against probable causes; the rank probability of cause based on observed behavior

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q113-Q118):

NEW QUESTION # 113
As a Site Reliability Engineer, you support an application written in GO that runs on Google Kubernetes Engine (GKE) in production. After releasing a new version Of the application, you notice the applicationruns for about 15 minutes and then restarts. You decide to add Cloud Profiler to your application and now notice that the heap usage grows constantly until the application restarts. What should you do?

A. Increase the CPU limit in the application deployment.
B. Increase the memory limit in the application deployment.
C. Add high memory compute nodes to the cluster.
D. Add Cloud Trace to the application, and redeploy.

Answer: B

NEW QUESTION # 114
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 a Kubernetes cluster in the production environment. The security auditor is concerned that developers or operators could circumvent automated testing and push code changes to production without approval. What should you do to enforce approvals?

A. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.
B. Configure the build system with protected branches that require pull request approval.
C. Use an Admission Controller to verify that incoming requests originate from approved sources.
D. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.

Answer: B

NEW QUESTION # 115
Your team is writing a postmortem after an incident on your external facing application Your team wants to improve the postmortem policy to include triggers that indicate whether an incident requires a postmortem Based on Site Reliability Engineenng (SRE) practices, what triggers should be defined in the postmortem policy?
Choose 2 answers

A. Data is lost due to an incident
B. An internal stakeholder requests a postmortem
C. The monitoring system detects that one of the instances for your application has failed
D. An external stakeholder asks for a postmortem
E. The CD pipeline detects an issue and rolls back a problematic release.

Answer: B,D

Explanation:
Explanation
The best options for defining triggers that indicate whether an incident requires a postmortem based on Site Reliability Engineering (SRE) practices are an external stakeholder asks for a postmortem and data is lost due to an incident. An external stakeholder is someone who is affected by or has an interest in the service, such as a customer or a partner. If an external stakeholder asks for a postmortem, it means that they are concerned about the impact or root cause of the incident, and they expect an explanation and remediation from the service provider. Therefore, this should trigger a postmortem to address their concerns and improve their satisfaction. Data loss is a serious consequence of an incident that can affect the integrity and reliability of the service. If data is lost due to an incident, it means that there was a failure in the backup or recovery mechanisms, or that there was a corruption or deletion of data. Therefore, this should trigger a postmortem to investigate the cause and impact of the data loss, and to prevent it from happening again.

NEW QUESTION # 116
As a Site Reliability Engineer, you support an application written in GO that runs on Google Kubernetes Engine (GKE) in production. After releasing a new version Of the application, you notice the application runs for about 15 minutes and then restarts. You decide to add Cloud Profiler to your application and now notice that the heap usage grows constantly until the application restarts. What should you do?

A. Increase the CPU limit in the application deployment.
B. Increase the memory limit in the application deployment.
C. Add high memory compute nodes to the cluster.
D. Add Cloud Trace to the application, and redeploy.

Answer: B

Explanation:
The correct answer is B, Increase the memory limit in the application deployment.
The application is experiencing a memory leak, which means that it is allocating memory that is not freed or reused. This causes the heap usage to grow constantly until it reaches the memory limit of the pod, which triggers a restart by Kubernetes. Increasing the memory limit in the application deployment can help mitigate the problem by allowing the application to run longer before reaching the limit. However, this is not a permanent solution, as the memory leak will still occur and eventually exhaust the available memory. The best solution is to identify and fix the source of the memory leak in the application code, using tools like Cloud Profiler and pprof12.
Reference:
Using Cloud Profiler with Go, Troubleshooting memory leaks. Profiling Go Programs, Heap profiles.

NEW QUESTION # 117
You support a user-facing web application When analyzing the application's error budget over the previous six months you notice that the application never consumed more than 5% of its error budget You hold a SLO review with business stakeholders and confirm that the SLO is set appropriately You want your application's reliability to more closely reflect its SLO What steps can you take to further that goal while balancing velocity, reliability, and business needs?
Choose 2 answers

A. Announce planned downtime to consume more error budget and ensure that users are not depending on a tighter SLO
B. Implement and measure all other available SLIs for the application
C. Add more serving capacity to all of your application's zones
D. Have more frequent or potentially risky application releases
E. Tighten the SLO to match the application's observed reliability

Answer: D,E

Explanation:
Explanation
The best options for furthering your application's reliability goal while balancing velocity, reliability, and business needs are to have more frequent or potentially risky application releases and to tighten the SLO to match the application's observed reliability. Having more frequent or potentially risky application releases can help you increase the change velocity and deliver new features faster. However, this also increases the likelihood of consuming more error budget and reducing the reliability of your service. Therefore, you should monitor your error budget consumption and adjust your release policies accordingly. For example, you can freeze or slow down releases when the error budget is low, or accelerate releases when the error budget is high. Tightening the SLO to match the application's observed reliability can help you align your service quality with your users' expectations and business needs. However, this also means that you have less room for error and need to maintain a higher level of reliability. Therefore, you should ensure that your SLO is realistic and achievable, and that you have sufficient engineering resources and processes to meet it.

NEW QUESTION # 118
......

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Kirk Parker Kirk Parker

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