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Actual Professional-Cloud-DevOps-Engineer Test Pdf | Free Professional-Cloud-Dev
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The Google market has become so competitive and tough with time. To satisfy this task the professionals have to analyze new in-name for skills and improve their expertise. With the Google Professional-Cloud-DevOps-Engineer certification exam they could do that activity fast and well. Your examination training with Google Certification Questions is our top priority at Dumpkiller. To do this they just join up in Google Cloud Certified - Professional Cloud DevOps Engineer Exam (Professional-Cloud-DevOps-Engineer) certification exam and show a few firm dedication and self-discipline and prepare well to crack the Professional-Cloud-DevOps-Engineer examination.
The Google Professional-Cloud-DevOps-Engineer Exam consists of multiple-choice and multiple-select questions and is divided into two parts: a 2-hour multiple-choice section and a 4-hour hands-on section. The multiple-choice section tests the candidate's understanding of DevOps concepts, while the hands-on section evaluates their ability to implement and manage DevOps practices on the Google Cloud platform.
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How to book Google Professional Cloud DevOps Engineer ExamsThe registration for the Google Professional Cloud DevOps Engineer exam follows the steps given below.
- Step 1: Visit the Google Cloud Webassessor Website
- Step 2: Sign-in or sign up to your Google Cloud Webassessor account
- Step 3: Search for the exam name Google Professional Cloud DevOps Engineer
- Step 4: Take the date of the exam, choose the exam center, and make further payment using payment methods like credit/debit, etc.
After registering for the exam, prepare from the Professional Cloud DevOps Engineer exam dumps and make sure to take Professional Cloud DevOps Engineer practice exam so you know the exam format in advance. This will give you an advantage over other candidates.
Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q191-Q196):NEW QUESTION # 191
Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product. You catalog the following information for each risk:
* Mean Time to Detect (MUD} in minutes
* Mean Time to Repair (MTTR) in minutes
* Mean Time Between Failure (MTBF) in days
* User Impact Percentage
The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone. What would be the values for the risk of database failover with the new system?
- A. MTTD: 5MTTR: 10MTBF: 90Impact: 33%
- B. MTTD:5MTTR: 20MTBF: 90Impact: 33%
- C. MTTD:5MTTR: 10MTBF: 90Impact 50%
- D. MTTD:5MTTR: 20MTBF: 90Impact: 50%
Answer: B
NEW QUESTION # 192
You support an application deployed on Compute Engine. The application connects to a Cloud SQL instance to store and retrieve dat a. After an update to the application, users report errors showing database timeout messages. The number of concurrent active users remained stable. You need to find the most probable cause of the database timeout. What should you do?
- A. Use Stackdriver Profiler to visualize the resources utilization throughout the application.
- B. Determine whether there is an increased number of connections to the Cloud SQL instance.
- C. Use Cloud Security Scanner to see whether your Cloud SQL is under a Distributed Denial of Service (DDoS) attack.
- D. Check the serial port logs of the Compute Engine instance.
Answer: B
Explanation:
The most probable cause of the database timeout is an increased number of connections to the Cloud SQL instance. This could happen if the application does not close connections properly or if it creates too many connections at once. You can check the number of connections to the Cloud SQL instance using Cloud Monitoring or Cloud SQL Admin API .
NEW QUESTION # 193
You recently migrated an ecommerce application to Google Cloud. You now need to prepare the application for the upcoming peak traffic season. You want to follow Google-recommended practices. What should you do first to prepare for the busy season?
- A. Load test the application to profile its performance for scaling.
- B. Pre-provision the additional compute power that was used last season, and expect growth.
- C. Migrate the application to Cloud Run, and use autoscaling.
- D. Create a Terraform configuration for the application's underlying infrastructure to quickly deploy to additional regions.
Answer: A
Explanation:
The first thing you should do to prepare your ecommerce application for the upcoming peak traffic season is to load test the application to profile its performance for scaling. Load testing is a process of simulating high traffic or user demand on your application and measuring how it responds.Load testing can help you identify any bottlenecks, errors, or performance issues that might affect your application during the busy season1.Load testing can also help you determine the optimal scaling strategy for your application, such as horizontal scaling (adding more instances) or vertical scaling (adding more resources to each instance)2.
There are different tools and methods for load testing your ecommerce application on Google Cloud, depending on the type and complexity of your application.For example, you can use Cloud Load Balancing to distribute traffic across multiple instances of your application, and use Cloud Monitoring to measure the latency, throughput, and error rate of your application3.You can also use Cloud Functions or Cloud Run to create serverless load generators that can simulate user requests and send them to your application4.
Alternatively, you can use third-party tools such as Apache JMeter or Locust to create and run load tests on your application.
By load testing your ecommerce application before the peak traffic season, you can ensure that your application is ready to handle the expected load and provide a good user experience. You can also use the results of your load tests to plan and implement other steps to prepare your application for the busy season, such as migrating to a more scalable platform, creating a Terraform configuration for deploying to additional regions, or pre-provisioning additional compute power.
References:
1 oad Testing 101: How To Test Website Performance | BlazeMeter
2: Scaling applications | Google Cloud
3oad testing using Google Cloud | Solutions | Google Cloud
4: Serverless load testing using Cloud Functions | Solutions | Google Cloud
NEW QUESTION # 194
You have a CI/CD pipeline that uses Cloud Build to build new Docker images and push them to Docker Hub.
You use Git for code versioning. After making a change in the Cloud Build YAML configuration, you notice that no new artifacts are being built by the pipeline. You need to resolve the issue following Site Reliability Engineering practices. What should you do?
- A. Disable the CI pipeline and revert to manually building and pushing the artifacts.
- B. Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.
- C. Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.
- D. Change the CI pipeline to push the artifacts to Container Registry instead of Docker Hub.
Answer: C
Explanation:
Explanation
"After making a change in the Cloud Build YAML configuration, you notice that no new artifacts are being built by the pipeline"- means something wrong on the recent change not with the image registry.
NEW QUESTION # 195
Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?
- A. Implement Jenkins on Google Cloud Functions.
- B. Implement Jenkins on local workstations.
- C. Implement Jenkins on Kubernetes on-premises
- D. Implement Jenkins on Compute Engine virtual machines.
Answer: D
Explanation:
Explanation
Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?
https://plugins.jenkins.io/google-compute-engine/
NEW QUESTION # 196
......
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