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The Professional Cloud DevOps Engineer Exam is intended for professionals who have experience in cloud architecture and operations, as well as expertise in developing and deploying applications using Google Cloud Platform. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification exam is perfect for individuals who want to demonstrate their expertise in DevOps engineering and cloud computing and want to enhance their career opportunities in the field of cloud-based operations.
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Google Professional-Cloud-DevOps-Engineer Certification is an excellent choice for IT professionals who want to validate their skills in DevOps practices and GCP services. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is highly regarded by employers and is recognized globally as a mark of excellence in the field. Passing the certification exam requires dedication, hard work, and a thorough understanding of DevOps practices and GCP services, but the rewards are well worth the effort.
Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q123-Q128):
NEW QUESTION # 123
You are writing a postmortem for an incident that severely affected users. You want to prevent similar incidents in the future. Which two of the following sections should you include in the postmortem? (Choose two.)
- A. Copies of the design documents for all the services impacted by the incident
- B. An explanation of the root cause of the incident
- C. A list of employees responsible for causing the incident
- D. Your opinion of the incident's severity compared to past incidents
- E. A list of action items to prevent a recurrence of the incident
Answer: B,E
Explanation:
Explanation
For a postmortem to be truly blameless, it must focus on identifying the contributing causes of the incident without indicting any individual or team for bad or inappropriate behavior.
NEW QUESTION # 124
You are developing the deployment and testing strategies for your CI/CD pipeline in Google Cloud You must be able to
* Reduce the complexity of release deployments and minimize the duration of deployment rollbacks
* Test real production traffic with a gradual increase in the number of affected users You want to select a deployment and testing strategy that meets your requirements What should you do?
- A. Rolling update deployment and A/B testing
- B. Blue/green deployment and canary testing
- C. Recreate deployment and canary testing
- D. Rolling update deployment and shadow testing
Answer: B
Explanation:
Explanation
The best option for selecting a deployment and testing strategy that meets your requirements is to use blue/green deployment and canary testing. A blue/green deployment is a deployment strategy that involves creating two identical environments, one running the current version of the application (blue) and one running the new version of the application (green). The traffic is switched from blue to green after testing the new version, and if any issues are discovered, the traffic can be switched back to blue instantly. This way, you can reduce the complexity of release deployments and minimize the duration of deployment rollbacks. A canary testing is a testing strategy that involves releasing a new version of an application to a subset of users or servers and monitoring its performance and reliability. This way, you can test real production traffic with a gradual increase in the number of affected users.
NEW QUESTION # 125
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. File a bug with the development team so they can find the root cause of the crashing instance.
- C. Create a Managed Instance Group with a single instance and use health checks to determine the system status.
- D. Add a Load Balancer in front of the Compute Engine instance and use health checks to determine the system status.
Answer: B
NEW QUESTION # 126
You are analyzing Java applications in production. All applications have Cloud Profiler and Cloud Trace installed and configured by default. You want to determine which applications need performance tuning. What should you do?
Choose 2 answers
- A. Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the memory resource allocation.
- B. 17 Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the local disk storage allocation.
- C. Examine the wall-clock time and the CPU time Of the application. If the difference is substantial, increase the CPU resource allocation.
- D. O Examine the latency time, the wall-clock time, and the CPU time of the application. If the latency time is slowly burning down the error budget, and the difference between wall-clock time and CPU time is minimal, mark the application for optimization.
- E. Examine the heap usage Of the application. If the usage is low, mark the application for optimization.
Answer: C,D
Explanation:
The correct answers are A and D.
Examine the wall-clock time and the CPU time of the application. If the difference is substantial, increase the CPU resource allocation. This is a good way to determine if the application is CPU-bound, meaning that it spends more time waiting for the CPU than performing actual computation. Increasing the CPU resource allocation can improve the performance of CPU-bound applications1.
Examine the latency time, the wall-clock time, and the CPU time of the application. If the latency time is slowly burning down the error budget, and the difference between wall-clock time and CPU time is minimal, mark the application for optimization. This is a good way to determine if the application is I/O-bound, meaning that it spends more time waiting for input/output operations than performing actual computation.
Increasing the CPU resource allocation will not help I/O-bound applications, and they may need optimization to reduce the number or duration of I/O operations2.
Answer B is incorrect because increasing the memory resource allocation will not help if the application is CPU-bound or I/O-bound. Memory allocation affects how much data the application can store and access in memory, but it does not affect how fast the application can process that data.
Answer C is incorrect because increasing the local disk storage allocation will not help if the application is CPU-bound or I/O-bound. Disk storage affects how much data the application can store and access on disk, but it does not affect how fast the application can process that data.
Answer E is incorrect because examining the heap usage of the application will not help to determine if the application needs performance tuning. Heap usage affects how much memory the application allocates for dynamic objects, but it does not affect how fast the application can process those objects. Moreover, low heap usage does not necessarily mean that the application is inefficient or unoptimized.
NEW QUESTION # 127
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. Set up Container Analysis to scan and report Common Vulnerabilities and Exposures.
- B. Reconfigure the existing operating system vulnerability software to exist inside the container.
- C. Configure the containers in the build pipeline to always update themselves before release.
- D. Implement static code analysis tooling against the Docker files used to create the containers.
Answer: D
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 # 128
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