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Professional-Cloud-DevOps-Engineer Reliable Exam Dumps | Study Professional-Cloud-DevOps-Engineer Test

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Google Professional-Cloud-DevOps-Engineer exam is designed to test the candidate's knowledge and skills related to DevOps engineering practices and Google Cloud technologies. Professional-Cloud-DevOps-Engineer exam comprises of two sections – the first section includes multiple-choice questions, while the second section includes practical scenarios that test the candidate's ability to apply their knowledge and skills to real-world situations.

To earn the Google Professional-Cloud-DevOps-Engineer certification, you will need to pass a rigorous exam that covers a wide range of topics related to cloud computing, automation, and continuous delivery. Professional-Cloud-DevOps-Engineer exam consists of multiple-choice questions and is designed to evaluate your ability to design, implement, and manage cloud-based solutions using Google Cloud Platform. Professional-Cloud-DevOps-Engineer exam also tests your understanding of various DevOps tools and methodologies, such as Docker, Kubernetes, Ansible, and Jenkins. By passing Professional-Cloud-DevOps-Engineer Exam, you will demonstrate your proficiency in using Google Cloud Platform to build and deploy scalable and reliable applications and gain recognition as a certified professional in cloud DevOps engineering.

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).

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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q133-Q138):

NEW QUESTION # 133
Your company experiences bugs, outages, and slowness in its production systems. Developers use the production environment for new feature development and bug fixes. Configuration and experiments are done in the production environment, causing outages for users. Testers use the production environment for load testing, which often slows the production systems. You need to redesign the environment to reduce the number of bugs and outages in production and to enable testers to load test new features. What should you do?

A. Create an automated testing script in production to detect failures as soon as they occur.
B. Create a development environment for writing code and a test environment for configurations, experiments, and load testing.
C. Create a development environment with smaller server capacity and give access only to developers and testers.
D. Secure the production environment to ensure that developers can't change it and set up one controlled update per year.

Answer: B

Explanation:
Explanation
Creating a development environment for writing code and a test environment for configurations, experiments, and load testing is the best practice to reduce the number of bugs and outages in production and to enable testers to load test new features. This way, the production environment is isolated from changes that could affect its stability and performance.

NEW QUESTION # 134
You are configuring connectivity across Google Kubernetes Engine (GKE) clusters in different VPCs You notice that the nodes in Cluster A are unable to access the nodes in Cluster B You suspect that the workload access issue is due to the network configuration You need to troubleshoot the issue but do not have execute access to workloads and nodes You want to identify the layer at which the network connectivity is broken What should you do?

A. Use a debug container to run the traceroute command from Cluster A to Cluster B and from Cluster B to Cluster A Identify the common failure point
B. Enable VPC Flow Logs in both VPCs and monitor packet drops
C. Use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster
D. Install a toolbox container on the node in Cluster A Confirm that the routes to Cluster B are configured appropriately

Answer: C

Explanation:
Explanation
The best option for troubleshooting the issue without having execute access to workloads and nodes is to use Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B. Network Connectivity Center is a service that allows you to create, manage, and monitor network connectivity across Google Cloud, hybrid, and multi-cloud environments. You can use Network Connectivity Center to perform a Connectivity Test, which is a feature that allows you to test the reachability and latency between two endpoints, such as GKE clusters, VM instances, or IP addresses. By using Network Connectivity Center to perform a Connectivity Test from Cluster A to Cluster B, you can identify the layer at which the network connectivity is broken, such as the firewall, routing, or load balancing.

NEW QUESTION # 135
You support a high-traffic web application that runs on Google Cloud Platform (GCP). You need to measure application reliability from a user perspective without making any engineering changes to it. What should you do?
Choose 2 answers

A. Create new synthetic clients to simulate a user journey using the application.
B. Analyze the web proxy logs only and capture response time of each request.
C. Use current and historic Request Logs to trace customer interaction with the application.
D. Review current application metrics and add new ones as needed.
E. Modify the code to capture additional information for user interaction.

Answer: B,E

NEW QUESTION # 136
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 number of Pod replicas
B. Increase the Pod CPU and memory limits
C. Decrease the acknowledgment deadline on the subscription
D. Add a virtual queue to the online store that allows typical traffic levels

Answer: A

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 # 137
You have an application that runs in Google Kubernetes Engine (GKE). The application consists of several microservices that are deployed to GKE by using Deployments and Services One of the microservices is experiencing an issue where a Pod returns 403 errors after the Pod has been running for more than five hours Your development team is working on a solution but the issue will not be resolved for a month You need to ensure continued operations until the microservice is fixed You want to follow Google-recommended practices and use the fewest number of steps What should you do?

A. Monitor the Pods and terminate any Pods that have been running for more than five hours
B. Create a cron job to terminate any Pods that have been running for more than five hours
C. Configure an alert to notify you whenever a Pod returns 403 errors
D. Add a HTTP liveness probe to the microservice s deployment

Answer: D

Explanation:
Explanation
The best option for ensuring continued operations until the microservice is fixed is to add a HTTP liveness probe to the microservice's deployment. A HTTP liveness probe is a type of probe that checks if a Pod is alive by sending an HTTP request and expecting a success response code. If the probe fails, Kubernetes will restart the Pod. You can add a HTTP liveness probe to your microservice's deployment by using a livenessProbe field in your Pod spec. This way, you can ensure that any Pod that returns 403 errors after running for more than five hours will be restarted automatically and resume normal operations.

NEW QUESTION # 138
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