Download Exam Professional-Cloud-DevOps-Engineer Practice Test Questions with 100% Verified Answers
Share Latest Professional-Cloud-DevOps-EngineerTest Practice Test Questions, Exam Dumps
How to study the Google Professional Cloud DevOps Engineer Exam
Preparation of certification exams could be covered with two resource types. The first one is the study guides, reference books, and study forums that are elaborated and appropriate for building information from the ground up. Apart from the video tutorials and lectures are a good option to ease the pain of through study and are relatively make the study process more interesting nonetheless these demand time and concentration from the learner. Smart candidates who wish to create a solid foundation altogether examination topics and connected technologies typically mix video lectures with study guides to reap the advantages of each but practice exams or practice exam engines is one important study tool which goes typically unnoted by most candidates.
Professional Cloud DevOps Engineer practice test is designed by our experts to make exam prospects test their knowledge on skills attained in the course, as well as prospects become comfortable and familiar with the real exam environment. Statistics have indicated exam anxiety plays a much bigger role in students' failure in the exam than the fear of the unknown. TestInsides expert team recommends preparing some notes on these topics along with it don't forget to practice Professional Cloud DevOps Engineer exam dumps which had been written by our expert team, each of these can assist you loads to clear this exam with excellent marks.
NEW QUESTION # 23
You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?
- A. Monitor results of Stackdriver Trace to determine the required amount of resources.
- B. Use the n1-highcpu-96 machine type in the configuration of the MIG.
- C. Deploy the service in one region and use a global load balancer to route traffic to this region.
- D. Validate that the resource requirements are within the available quota limits of each region.
Answer: C
NEW QUESTION # 24
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. tcp_ssl_proxy/new_connections
- B. flex/connections/current
- C. flex/instance/connections/current
- D. tcp_ssl_proxy/open_connections
Answer: C
Explanation:
Explanation/Reference: https://cloud.google.com/monitoring/api/metrics_gcp
NEW QUESTION # 25
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. Reconfigure the existing operating system vulnerability software to exist inside the container.
- B. Set up Container Analysis to scan and report Common Vulnerabilities and Exposures.
- C. Implement static code analysis tooling against the Docker files used to create the containers.
- D. Configure the containers in the build pipeline to always update themselves before release.
Answer: B
NEW QUESTION # 26
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (Pll) is leaking into certain log entry fields. All Pll 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 a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
- C. 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 tog exclusion with userinfo as a filter.
- 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: D
Explanation:
https://medium.com/google-cloud/fluentd-filter-plugin-for-google-cloud-data-loss-prevention-api-42bbb1308e76
NEW QUESTION # 27
You are on-call for an infrastructure service that has a large number of dependent systems. You receive an alert indicating that the service is failing to serve most of its requests and all of its dependent systems with hundreds of thousands of users are affected. As part of your Site Reliability Engineering (SRE) incident management protocol, you declare yourself Incident Commander (IC) and pull in two experienced people from your team as Operations Lead (OLJ and Communications Lead (CL). What should you do next?
- A. Contact the affected service owners and update them on the status of the incident.
- B. Establish a communication channel where incident responders and leads can communicate with each other.
- C. Look for ways to mitigate user impact and deploy the mitigations to production.
- D. Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.
Answer: B
NEW QUESTION # 28
Your team has recently deployed an NGINX-based application into Google Kubernetes Engine (GKE) and has exposed it to the public via an HTTP Google Cloud Load Balancer (GCLB) ingress. You want to scale the deployment of the application's frontend using an appropriate Service Level Indicator (SLI). What should you do?
- A. Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.
- B. Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.
- C. Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.
- D. Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.
Answer: B
NEW QUESTION # 29
Your team is designing a new application for deployment into Google Kubernetes Engine (GKE). You need to set up monitoring to collect and aggregate various application-level metrics in a centralized location. You want to use Google Cloud Platform services while minimizing the amount of work required to set up monitoring. What should you do?
- A. Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.
- B. Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
- C. Emit all metrics in the form of application-specific log messages, pass these messages from the containers to the Stackdriver logging collector, and then observe metrics in Stackdriver.
- D. Install the OpenTelemetry client libraries in the application, configure Stackdriver as the export destination for the metrics, and then observe the application's metrics in Stackdriver.
Answer: D
NEW QUESTION # 30
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. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.
- B. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
- C. 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.
- D. 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.
Answer: A
Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/horizontalpodautoscaler The Horizontal Pod Autoscaler changes the shape of your Kubernetes workload by automatically increasing or decreasing the number of Pods in response to the workload's CPU or memory consumption
NEW QUESTION # 31
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. Use an Admission Controller to verify that incoming requests originate from approved sources.
- B. Configure the build system with protected branches that require pull request approval.
- C. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.
- D. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.
Answer: D
NEW QUESTION # 32
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (Pll) is leaking into certain log entry fields. All Pll 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 a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
- C. 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 tog exclusion with userinfo as a filter.
- 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: B
NEW QUESTION # 33
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. 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.
- B. Install the Stackdriver Error Reporting library for Python, and then run your code on a Compute Engine VM.
- C. Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.
- D. Install the Stackdriver Error Reporting library for Python, and then run your code on App Engine flexible environment.
Answer: A
Explanation:
https://cloud.google.com/error-reporting/docs/formatting-error-messages
https://cloud.google.com/error-reporting/docs/reference/libraries#client-libraries-install-python no need to install error reporting library on App Engine Flex.
NEW QUESTION # 34
You encountered a major service outage that affected all users of the service for multiple hours. After several hours of incident management, the service returned to normal, and user access was restored. You need to provide an incident summary to relevant stakeholders following the Site Reliability Engineering recommended practices. What should you do first?
- A. Call individual stakeholders lo explain what happened.
- B. Require the engineer responsible to write an apology email to all stakeholders.
- C. Send the Incident State Document to all the stakeholders.
- D. Develop a post-mortem to be distributed to stakeholders.
Answer: A
NEW QUESTION # 35
Your organization wants to implement Site Reliability Engineering (SRE) culture and principles. Recently, a service that you support had a limited outage. A manager on another team asks you to provide a formal explanation of what happened so they can action remediations. What should you do?
- A. Develop a postmortem that includes the root causes, resolution, lessons learned, and a prioritized list of action items. Share it on the engineering organization's document portal.
- B. Develop a postmortem that includes the root causes, resolution, lessons learned, the list of people responsible, and a list of action items for each person. Share it with the manager only.
- C. Develop a postmortem that includes the root causes, resolution, lessons learned, and a prioritized list of action items. Share it with the manager only.
- D. Develop a postmortem that includes the root causes, resolution, lessons learned, the list of people responsible, and a list of action items for each person. Share it on the engineering organization's document portal.
Answer: A
NEW QUESTION # 36
You support a web application that runs on App Engine and uses CloudSQL and Cloud Storage for data storage. After a short spike in website traffic, you notice a big increase in latency for all user requests, increase in CPU use, and the number of processes running the application. Initial troubleshooting reveals:
After the initial spike in traffic, load levels returned to normal but users still experience high latency.
Requests for content from the CloudSQL database and images from Cloud Storage show the same high latency.
No changes were made to the website around the time the latency increased.
There is no increase in the number of errors to the users.
You expect another spike in website traffic in the coming days and want to make sure users don't experience latency. What should you do?
- A. Upgrade the GCS buckets to Multi-Regional.
- B. Enable high availability on the CloudSQL instances.
- C. Move the application from App Engine to Compute Engine.
- D. Modify the App Engine configuration to have additional idle instances.
Answer: D
Explanation:
Scaling App Engine scales the number of instances automatically in response to processing volume. This scaling factors in the automatic_scaling settings that are provided on a per-version basis in the configuration file. A service with basic scaling is configured by setting the maximum number of instances in the max_instances parameter of the basic_scaling setting. The number of live instances scales with the processing volume. You configure the number of instances of each version in that service's configuration file. The number of instances usually corresponds to the size of a dataset being held in memory or the desired throughput for offline work. You can adjust the number of instances of a manually-scaled version very quickly, without stopping instances that are currently running, using the Modules API set_num_instances function. https://cloud.google.com/appengine/docs/standard/python/how-instances-are-managed
https://cloud.google.com/appengine/docs/standard/python/config/appref
max_idle_instances Optional. The maximum number of idle instances that App Engine should maintain for this version. Specify a value from 1 to 1000. If not specified, the default value is automatic, which means App Engine will manage the number of idle instances. Keep the following in mind: A high maximum reduces the number of idle instances more gradually when load levels return to normal after a spike. This helps your application maintain steady performance through fluctuations in request load, but also raises the number of idle instances (and consequent running costs) during such periods of heavy load.
NEW QUESTION # 37
You encounter a large number of outages in the production systems you support. You receive alerts for all the outages that wake you up at night. The alerts are due to unhealthy systems that are automatically restarted within a minute. You want to set up a process that would prevent staff burnout while following Site Reliability Engineering practices. What should you do?
- A. Redefine the related Service Level Objective so that the error budget is not exhausted.
- B. Eliminate unactionable alerts.
- C. Distribute the alerts to engineers in different time zones.
- D. Create an incident report for each of the alerts.
Answer: B
NEW QUESTION # 38
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. Use Cloud Build to include the release version tag in the application image.
- C. Reference the image digest in the source control tag.
- D. Supply the source control tag as a parameter within the image name.
Answer: D
Explanation:
https://cloud.google.com/container-registry/docs/pushing-and-pulling
NEW QUESTION # 39
You created a Stackdriver chart for CPU utilization in a dashboard within your workspace project. You want to share the chart with your Site Reliability Engineering (SRE) team only. You want to ensure you follow the principle of least privilege. What should you do?
- A. Click "Share chart by URL" and provide the URL to the SRE team. Assign the SRE team the Dashboard Viewer IAM role in the workspace project.
- B. Click "Share chart by URL" and provide the URL to the SRE team. Assign the SRE team the Monitoring Viewer IAM role in the workspace project.
- C. Share the workspace Project ID with the SRE team. Assign the SRE team the Dashboard Viewer IAM role in the workspace project.
- D. Share the workspace Project ID with the SRE team. Assign the SRE team the Monitoring Viewer IAM role in the workspace project.
Answer: B
Explanation:
https://cloud.google.com/monitoring/access-control
NEW QUESTION # 40
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. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.
- B. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.
- C. Use an Admission Controller to verify that incoming requests originate from approved sources.
- D. Configure the build system with protected branches that require pull request approval.
Answer: A
Explanation:
The keywords here is "developers or operators". Option A the operators could push images to production without approval (operators could touch the cluster directly and the cluster cannot do any action against them). Rest same as francisco_guerra.
NEW QUESTION # 41
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. Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.
- C. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
- D. Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.
Answer: D
NEW QUESTION # 42
......
Google Professional-Cloud-DevOps-Engineer (Google Cloud Certified - Professional Cloud DevOps Engineer) Certification Exam is designed to test the skills and knowledge required for professionals who are working in DevOps roles in the cloud computing environment. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is specifically designed for professionals who are responsible for designing, building, and managing efficient and scalable cloud-based systems using Google Cloud technologies.
Positive Aspects of Valid Dumps Professional-Cloud-DevOps-Engineer Exam Dumps!: https://actualtests.testinsides.top/Professional-Cloud-DevOps-Engineer-dumps-review.html