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Google Professional-Cloud-DevOps-Engineer Certification is a valuable credential for professionals who want to demonstrate their expertise in GCP and DevOps practices. It can help professionals advance their careers by demonstrating their ability to design, develop, and manage GCP solutions using DevOps principles. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification also demonstrates to potential employers that the candidate has the skills and knowledge needed to manage GCP resources efficiently and effectively.

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Exam Topics

To achieve good results in the Google Professional Cloud DevOps Engineer certification exam, the candidates need to develop a comprehensive understanding of its domains. The detailed outline of the topics and subtopics covered in the test is available on the official platform. Their brief overview is provided below:

Application of Site Reliability Engineering Principles to Services
This subject area measures the skills of the professionals in ensuring healthy collaboration for operations, including preventing burnout (for example, setting up automation procedures to prevent burnout) as well as fostering a learning culture & culture of blamelessness. Besides that, the candidates need to possess the expertise in managing the service life cycle as well as balancing the service change, velocity, and reliability.
Implementation of Strategies for Service Monitoring
Here the applicants will be asked to show that they have the capacity to manage the Stackdriver Logging and Stackdriver Monitoring platforms. They should also know how to manage application logs as well as application metrics using Stackdriver Monitoring. Additionally, the individuals will require the competency in implementing logging & monitoring access control.
Management of Service Incidents
To answer the questions related to this part of the certification test, the students need to have the skills in coordinating roles and implementing the channels of communication in the course of the service incident. In addition, they need to have an understanding of how to perform the analysis of incident symptoms affecting the users. The test takers should also know how to mitigate the impact of an incident on the users. Finally, they need to have the sufficient competency in resolving issues (for example, Cloud Build, Jenkins, etc.) and documenting an issue in the postmortem.
Optimization of Service Performance
Within this module, the learners need to show that they are capable of optimizing resource utilization, including determining resource costs, defining resource utilization levels, developing a plan to optimize areas of the lowest utilization/greatest cost, managing preemptible Virtual Machines, considering network pricing, and so on. They must also possess the skills in debugging application code as well as determining service performance issues.
Building & Implementation of CI/CD Pipelines for Services
The second topic focuses on the ability of the examinees to manage various development environments (for instance, staging, production, etc.), manage infrastructure as code, as well as manage configuration & secrets. Moreover, the test takers are required to demonstrate their proficiency in designing & implementing CI/CD pipelines, deploying CI/CD tooling, and securing the deployment pipeline.

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q76-Q81):

NEW QUESTION # 76
Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?

A. Use Cloud Build to trigger a Spinnaker pipeline.
B. Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).
C. Use Cloud Pub/Sub to trigger a Spinnaker pipeline.
D. Use a custom builder in Cloud Build to trigger a Jenkins pipeline.

Answer: C

Explanation:
Explanation
https://cloud.google.com/architecture/continuous-delivery-toolchain-spinnaker-cloud
https://spinnaker.io/guides/user/pipeline/triggers/pubsub/
The most efficient way to build an automated pipeline that deploys the application when the image is updated is to use Cloud Pub/Sub to trigger a Spinnaker pipeline. This way, you can leverage the built-in integration between GCR and Cloud Pub/Sub, and use Spinnaker as a continuous delivery platform for deploying your application .

NEW QUESTION # 77
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. Configure the containers in the build pipeline to always update themselves before release.
C. Reconfigure the existing operating system vulnerability software to exist inside the container.
D. Implement static code analysis tooling against the Docker files used to create the containers.

Answer: D

Explanation:
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 # 78
You are running a web application that connects to an AlloyDB cluster by using a private IP address in your default VPC. You need to run a database schema migration in your CI/CD pipeline by using Cloud Build before deploying a new version of your application. You want to follow Google-recommended security practices. What should you do?

A. Add the database username and encrypted password to the application configuration file. Use these credentials in Cloud Build to execute the schema migration script.
B. Create a service account that has permission to access the database. Configure Cloud Build to use this service account and execute the schema migration script in a private pool.
C. Add the database username and password to Secret Manager. When running the schema migration script, retrieve the username and password from Secret Manager.
D. Set up a Cloud Build private pool to access the database through a static external IP address. Configure the database to only allow connections from this IP address. Execute the schema migration script in the private pool.

Answer: B

NEW QUESTION # 79
You are deploying an application that needs to access sensitive information. You need to ensure that this information is encrypted and the risk of exposure is minimal if a breach occurs. What should you do?

A. Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application
B. Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently
C. Inject the secret at the time of instance creation via an encrypted configuration management system.
D. Leverage a continuous build pipeline that produces multiple versions of the secret for each instance of the application.

Answer: B

Explanation:
https://cloud.google.com/security-key-management

NEW QUESTION # 80
You are the on-call Site Reliability Engineer for a microservice that is deployed to a Google Kubernetes Engine (GKE) Autopilot cluster. Your company runs an online store that publishes order messages to Pub/Sub and a microservice receives these messages and updates stock information in the warehousing system. A sales event caused an increase in orders, and the stock information is not being updated quickly enough. This is causing a large number of orders to be accepted for products that are out of stock You check the metrics for the microservice and compare them to typical levels.

You need to ensure that the warehouse system accurately reflects product inventory at the time orders are placed and minimize the impact on customers What should you do?

A. Increase the Pod CPU and memory limits
B. Decrease the acknowledgment deadline on the subscription
C. Increase the number of Pod replicas
D. Add a virtual queue to the online store that allows typical traffic levels

Answer: C

Explanation:
Explanation
The best option for ensuring that the warehouse system accurately reflects product inventory at the time orders are placed and minimizing the impact on customers is to increase the number of Pod replicas. Increasing the number of Pod replicas will increase the scalability and availability of your microservice, which will allow it to handle more Pub/Sub messages and update stock information faster. This way, you can reduce the backlog of undelivered messages and oldest unacknowledged message age, which are causing delays in updating product inventory. You can use Horizontal Pod Autoscaler or Cloud Monitoring metrics-based autoscaling to automatically adjust the number of Pod replicas based on load or custom metrics.

NEW QUESTION # 81
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