Easy To Download Google Professional-Cloud-DevOps-Engineer Exam Dumps Updated 83 Questions
New Updated Professional-Cloud-DevOps-Engineer Exam Questions 2021
Google Professional Cloud DevOps Engineer Certified Professional salary
The average salary of a Google Professional Cloud DevOps Engineer Certified Expert in different regions is as follows:
- India: 25,00,000 INR
- England: 130,500 POUND
- Europe: 144,000 EURO
- United State: 151,00 USD
NEW QUESTION 39
You use a multiple step Cloud Build pipeline to build and deploy your application to Google Kubernetes Engine (GKE). You want to integrate with a third-party monitoring platform by performing a HTTP POST of the build information to a webhook. You want to minimize the development effort. What should you do?
- A. Create a Cloud Pub/Sub push subscription to the Cloud Build cloud-builds PubSub topic to HTTP POST the build information to a webhook.
- B. Add a new step at the end of the pipeline in Cloud Build to HTTP POST the build information to a webhook.
- C. Use Stackdriver Logging to create a logs-based metric from the Cloud Build logs. Create an Alert with a Webhook notification type.
- D. Add logic to each Cloud Build step to HTTP POST the build information to a webhook.
Answer: A
NEW QUESTION 40
Your team of Infrastructure DevOps Engineers is growing, and you are starting to use Terraform to manage infrastructure. You need a way to implement code versioning and to share code with other team members. What should you do?
- A. Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.
- B. Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.
- C. Store the Terraform code in a Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.
- D. Store the Terraform code in a shared Google Drive folder so it syncs automatically to every team member's computer. Organize files with a naming convention that identifies each new version.
Answer: A
NEW QUESTION 41
You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler enabled. You currently consume about 30% of your total deployed CPU capacity, and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?
- A. Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.
- B. Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.
- C. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
- D. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.
Answer: D
NEW QUESTION 42
You support a high-traffic web application and want to ensure that the home page loads in a timely manner. As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?
- A. Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.
- B. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
- C. Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.
- D. Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.
Answer: B
NEW QUESTION 43
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:5
MTTR: 20
MTBF: 90
Impact: 50% - B. MTTD:5
MTTR: 20
MTBF: 90
Impact: 33% - C. MTTD:5
MTTR: 10
MTBF: 90
Impact 50% - D. MTTD: 5
MTTR: 10
MTBF: 90
Impact: 33%
Answer: B
Explanation:
https://www.atlassian.com/incident-management/kpis/common-metrics
https://linkedin.github.io/school-of-sre/
NEW QUESTION 44
You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler enabled. You currently consume about 30% of your total deployed CPU capacity, and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?
- A. Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.
- B. Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.
- C. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.
- D. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
Answer: D
NEW QUESTION 45
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. Configure the build system with protected branches that require pull request approval.
- B. Use an Admission Controller to verify that incoming requests originate from approved sources.
- C. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.
- D. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.
Answer: A
NEW QUESTION 46
You support a Node.js application running on Google Kubernetes Engine (GKE) in production. The application makes several HTTP requests to dependent applications. You want to anticipate which dependent applications might cause performance issues. What should you do?
- A. Use Stackdriver Debugger to review the execution of logic within each application to instrument all applications.
- B. Modify the Node.js application to log HTTP request and response times to dependent applications. Use Stackdriver Logging to find dependent applications that are performing poorly.
- C. Instrument all applications with Stackdriver Profiler.
- D. Instrument all applications with Stackdriver Trace and review inter-service HTTP requests.
Answer: D
NEW QUESTION 47
Your application images are built using Cloud Build and pushed to Google Container Registry (GCR). You want to be able to specify a particular version of your application for deployment based on the release version tagged in source control. What should you do when you push the image?
- A. Use GCR digest versioning to match the image to the tag in source control.
- B. Supply the source control tag as a parameter within the image name.
- C. Reference the image digest in the source control tag.
- D. Use Cloud Build to include the release version tag in the application image.
Answer: B
Explanation:
https://cloud.google.com/container-registry/docs/pushing-and-pulling
NEW QUESTION 48
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. Modify the code to capture additional information for user interaction.
- B. Use current and historic Request Logs to trace customer interaction with the application.
- C. Create new synthetic clients to simulate a user journey using the application.
- D. Analyze the web proxy logs only and capture response time of each request.
- E. Review current application metrics and add new ones as needed.
Answer: B,D
Explanation:
https://cloud.google.com/architecture/adopting-slos?hl=en
NEW QUESTION 49
You support a trading application written in Python and hosted on App Engine flexible environment. You want to customize the error information being sent to Stackdriver Error Reporting. What should you do?
- A. Install the Stackdriver Error Reporting library for Python, and then run your code on App Engine flexible environment.
- B. Use the Stackdriver Error Reporting API to write errors from your application to ReportedErrorEvent, and then generate log entries with properly formatted error messages in Stackdriver Logging.
- C. Install the Stackdriver Error Reporting library for Python, and then run your code on a Compute Engine VM.
- D. Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.
Answer: A
NEW QUESTION 50
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 toad 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 with smaller server capacity and give access only to developers and testers.
- C. Secure the production environment to ensure that developers can't change it and set up one controlled update per year.
- D. Create a development environment for writing code and a test environment for configurations, experiments, and load testing.
Answer: A
NEW QUESTION 51
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. Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.
- B. Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.
- C. Disable the CI pipeline and revert to manually building and pushing the artifacts.
- D. Change the CI pipeline to push the artifacts to Container Registry instead of Docker Hub.
Answer: C
NEW QUESTION 52
You are running an experiment to see whether your users like a new feature of a web application. Shortly after deploying the feature as a canary release, you receive a spike in the number of 500 errors sent to users, and your monitoring reports show increased latency. You want to quickly minimize the negative impact on users. What should you do first?
- A. Start monitoring latency, traffic, errors, and saturation.
- B. Record data for the postmortem document of the incident.
- C. Trace the origin of 500 errors and the root cause of increased latency.
- D. Roll back the experimental canary release.
Answer: D
NEW QUESTION 53
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (PII) is leaking into certain log entry fields. All PII entries begin with the text userinfo. You want to capture these log entries in a secure location for later review and prevent them from leaking to Stackdriver Logging. What should you do?
- A. Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, create an advanced log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
- B. Create an advanced log filter matching userinfo, configure a log export in the Stackdriver console with Cloud Storage as a sink, and then configure a log exclusion with userinfo as a filter.
- C. Create a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
- D. Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, and then copy the entries to a Cloud Storage bucket.
Answer: C
NEW QUESTION 54
Your application artifacts are being built and deployed via a CI/CD pipeline. You want the CI/CD pipeline to securely access application secrets. You also want to more easily rotate secrets in case of a security breach.
What should you do?
- A. Encrypt the secrets and store them in the source code repository. Store a decryption key in a separate repository and grant your pipeline access to it.
- B. Store secrets in a separate configuration file on Git. Provide select developers with access to the configuration file.
- C. Store secrets in Cloud Storage encrypted with a key from Cloud KMS. Provide the CI/CD pipeline with access to Cloud KMS via IAM.
- D. Prompt developers for secrets at build time. Instruct developers to not store secrets at rest.
Answer: C
NEW QUESTION 55
You are part of an organization that follows SRE practices and principles. You are taking over the management of a new service from the Development Team, and you conduct a Production Readiness Review (PRR). After the PRR analysis phase, you determine that the service cannot currently meet its Service Level Objectives (SLOs). You want to ensure that the service can meet its SLOs in production. What should you do next?
- A. Bring the service into production with no SLOs and build them when you have collected operational data.
- B. Adjust the SLO targets to be achievable by the service so you can bring it into production.
- C. Notify the development team that they will have to provide production support for the service.
- D. Identify recommended reliability improvements to the service to be completed before handover.
Answer: D
NEW QUESTION 56
You need to run a business-critical workload on a fixed set of Compute Engine instances for several months.
The workload is stable with the exact amount of resources allocated to it. You want to lower the costs for this workload without any performance implications. What should you do?
- A. Purchase Committed Use Discounts.
- B. Convert the instances to preemptible virtual machines.
- C. Create an Unmanaged Instance Group for the instances used to run the workload.
- D. Migrate the instances to a Managed Instance Group.
Answer: B
Explanation:
Explanation/Reference: https://cloud.google.com/compute/docs/faq
NEW QUESTION 57
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:5
MTTR: 20
MTBF: 90
Impact: 50% - B. MTTD: 5
MTTR: 10
MTBF: 90
Impact: 33% - C. MTTD:5
MTTR: 10
MTBF: 90
Impact 50% - D. MTTD:5
MTTR: 20
MTBF: 90
Impact: 33%
Answer: B
NEW QUESTION 58
You have a pool of application servers running on Compute Engine. You need to provide a secure solution that requires the least amount of configuration and allows developers to easily access application logs for troubleshooting. How would you implement the solution on GCP?
- A. * Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Viewer role to access Stackdriver and view logs. - B. * Deploy the Stackdriver monitoring agent to the application servers.
* Give the developers the IAM Monitoring Viewer role to access Stackdriver and view metrics. - C. * Deploy the Stackdriver logging agent to the application servers.
* Give the developers the IAM Logs Private Logs Viewer role to access Stackdriver and view logs. - D. * Install the gsutil command line tool on your application servers.
* Write a script using gsutil to upload your application log to a Cloud Storage bucket, and then schedule it to run via cron every 5 minutes.
* Give the developers the IAM Object Viewer access to view the logs in the specified bucket.
Answer: C
NEW QUESTION 59
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?
- A. flex/instance/connections/current
- B. tcp_ssl_proxy/open_connections
- C. tcp_ssl_proxy/new_connections
- D. flex/connections/current
Answer: A
Explanation:
Explanation/Reference: https://cloud.google.com/monitoring/api/metrics_gcp
NEW QUESTION 60
You currently store the virtual machine (VM) utilization logs in Stackdriver. You need to provide an easy-to-share interactive VM utilization dashboard that is updated in real time and contains information aggregated on a quarterly basis. You want to use Google Cloud Platform solutions. What should you do?
- A. 1. Export VM utilization logs from Stackdriver to a Cloud Storage bucket.
2. Enable the Cloud Storage API to pull the logs programmatically.
3. Build a custom data visualization application.
4. Display the pulled logs in a custom dashboard. - B. 1. Export VM utilization logs (rom Stackdriver to BigQuery.
2. From BigQuery. export the logs to a CSV file.
3. Import the CSV file into Google Sheets.
4. Build a dashboard in Google Sheets and share it with your stakeholders. - C. 1. Export VM utilization logs from Stackdriver to BigOuery.
2. Create a dashboard in Data Studio.
3. Share the dashboard with your stakeholders. - D. 1. Export VM utilization logs from Stackdriver to Cloud Pub/Sub.
2. From Cloud Pub/Sub, send the logs to a Security Information and Event Management (SIEM) system.
3. Build the dashboards in the SIEM system and share with your stakeholders.
Answer: C
NEW QUESTION 61
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. Modify the code to capture additional information for user interaction.
- B. Create new synthetic clients to simulate a user journey using the application.
- C. Analyze the web proxy logs only and capture response time of each request.
- D. Review current application metrics and add new ones as needed.
- E. Use current and historic Request Logs to trace customer interaction with the application.
Answer: A,C
NEW QUESTION 62
......
Conclusion
Passing the Google Professional Cloud DevOps Engineer evaluation is not impossible as long as you combine different learning solutions. While the vendor offers different preparation resources for the exam-takers who want to get the passing score without stress, you shouldn’t stop here. You can also go as far as to explore the guides available on Amazon and enhance your skills for becoming a certified Cloud DevOps Engineer.
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The Best Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer Professional Exam Questions: https://drive.google.com/open?id=1Z2uQtKUVp5q2vbGgm5w8QVPpoE0OGE3Z