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Cloud DevOps Engineer Dumps Professional-Cloud-DevOps-Engineer Exam for Full Questions - Exam Study Guide
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Google Professional-Cloud-DevOps-Engineer Exam Syllabus Topics:
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NEW QUESTION 43
Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?
- A. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.
- B. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/attostrat-images/.
- C. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.
- D. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.
Answer: C
NEW QUESTION 44
You support a high-traffic web application with a microservice architecture. The home page of the application displays multiple widgets containing content such as the current weather, stock prices, and news headlines. The main serving thread makes a call to a dedicated microservice for each widget and then lays out the homepage for the user. The microservices occasionally fail; when that happens, the serving thread serves the homepage with some missing content. Users of the application are unhappy if this degraded mode occurs too frequently, but they would rather have some content served instead of no content at all. You want to set a Service Level Objective (SLO) to ensure that the user experience does not degrade too much. What Service Level Indicator {SLI) should you use to measure this?
- A. An availability SLI: the ratio of healthy microservices to the total number of microservices
- B. A latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls
- C. A quality SLI: the ratio of non-degraded responses to total responses
- D. A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes
Answer: B
NEW QUESTION 45
You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?
- A. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.
- B. Grant the team members the IAM role of logging.configWriter on Cloud IAM.
- C. Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
- D. Configure Access Context Manager to allow only these members to export logs.
Answer: B
NEW QUESTION 46
Your company follows Site Reliability Engineering practices. You are the Incident Commander for a new. customer-impacting incident. You need to immediately assign two incident management roles to assist you in an effective incident response. What roles should you assign?
Choose 2 answers
- A. Operations Lead
- B. Customer Impact Assessor
- C. External Customer Communications Lead
- D. Communications Lead
- E. Engineering Lead
Answer: A,D
Explanation:
https://sre.google/workbook/incident-response/
"The main roles in incident response are the Incident Commander (IC), Communications Lead (CL), and Operations or Ops Lead (OL)."
NEW QUESTION 47
You are managing the production deployment to a set of Google Kubernetes Engine (GKE) clusters. You want to make sure only images which are successfully built by your trusted CI/CD pipeline are deployed to production. What should you do?
- A. Enable Vulnerability Analysis on the Container Registry.
- B. Set up the Kubernetes Engine clusters with Binary Authorization.
- C. Set up the Kubernetes Engine clusters as private clusters.
- D. Enable Cloud Security Scanner on the clusters.
Answer: B
Explanation:
https://cloud.google.com/binary-authorization/docs/overview
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. 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. Modify the code to capture additional information for user interaction.
- 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 49
Your team uses Cloud Build for all CI/CO pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine (GKE). You need to authenticate to GKE while minimizing development effort. What should you do?
- A. Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.
- B. Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.
- C. Create a new service account with the Container Developer role and use it to run Cloud Build.
- D. Assign the Container Developer role to the Cloud Build service account.
Answer: C
NEW QUESTION 50
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. Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
- B. 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.
- C. Publish various metrics from the application directly to the Stackdriver Monitoring API, and then observe these custom 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 51
You are running a real-time gaming application on Compute Engine that has a production and testing environment. Each environment has their own Virtual Private Cloud (VPC) network. The application frontend and backend servers are located on different subnets in the environment's VPC. You suspect there is a malicious process communicating intermittently in your production frontend servers. You want to ensure that network traffic is captured for analysis. What should you do?
- A. Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 1.0.
- B. Enable VPC Flow Logs on the testing and production VPC network frontend and backend subnets with a volume scale of 1.0. Apply changes in testing before production.
- C. Enable VPC Flow Logs on the testing and production VPC network frontend and backend subnets with a volume scale of 0.5. Apply changes in testing before production.
- D. Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 0.5.
Answer: B
NEW QUESTION 52
You deploy a new release of an internal application during a weekend maintenance window when there is minimal user traffic. After the window ends, you learn that one of the new features isn't working as expected in the production environment. After an extended outage, you roll back the new release and deploy a fix. You want to modify your release process to reduce the mean time to recovery so you can avoid extended outages in the future. What should you do?
Choose 2 answers
- A. Integrate a code linting tool to validate coding standards before any code is accepted into the repository.
- B. Require developers to run automated integration tests on their local development environments before release.
- C. Before merging new code, require 2 different peers to review the code changes.
- D. Adopt the blue/green deployment strategy when releasing new code via a CD server.
- E. Configure a CI server. Add a suite of unit tests to your code and have your CI server run them on commit and verify any changes.
Answer: D,E
NEW QUESTION 53
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. Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.
- B. Change the CI pipeline to push the artifacts to Container Registry instead of Docker Hub.
- C. Disable the CI pipeline and revert to manually building and pushing the artifacts.
- D. Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.
Answer: B
NEW QUESTION 54
You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?
- A. Compare the canary with a new deployment of the current production version.
- B. Compare the canary with the existing deployment of the current production version.
- C. Compare the canary with a new deployment of the previous production version.
- D. Compare the canary with the average performance of a sliding window of previous production versions.
Answer: A
Explanation:
https://cloud.google.com/architecture/automated-canary-analysis-kubernetes-engine-spinnaker
https://spinnaker.io/guides/user/canary/best-practices/#compare-canary-against-baseline-not-against-production
NEW QUESTION 55
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 at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.
- C. 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.
- D. Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
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 56
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. Require the engineer responsible to write an apology email to all stakeholders.
- B. Develop a post-mortem to be distributed to stakeholders.
- C. Call individual stakeholders lo explain what happened.
- D. Send the Incident State Document to all the stakeholders.
Answer: B
NEW QUESTION 57
You have an application running in Google Kubernetes Engine. The application invokes multiple services per request but responds too slowly. You need to identify which downstream service or services are causing the delay. What should you do?
- A. Investigate the Liveness and Readiness probes for each service.
- B. Use a distributed tracing framework such as OpenTelemetry or Stackdriver Trace.
- C. Create a Dataflow pipeline to analyze service metrics in real time.
- D. Analyze VPC flow logs along the path of the request.
Answer: C
NEW QUESTION 58
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. Develop a post-mortem to be distributed to stakeholders.
- B. Require the engineer responsible to write an apology email to all stakeholders.
- C. Call individual stakeholders lo explain what happened.
- D. Send the Incident State Document to all the stakeholders.
Answer: D
NEW QUESTION 59
You have a set of applications running on a Google Kubernetes Engine (GKE) cluster, and you are using Stackdriver Kubernetes Engine Monitoring. You are bringing a new containerized application required by your company into production. This application is written by a third party and cannot be modified or reconfigured. The application writes its log information to /var/log/app_messages.log, and you want to send these log entries to Stackdriver Logging. What should you do?
- A. Write a script to tail the log file within the pod and write entries to standard output. Run the script as a sidecar container with the application's pod. Configure a shared volume between the containers to allow the script to have read access to /var/log in the application container.
- B. Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Slackdriver Logging.
- C. Install Kubernetes on Google Compute Engine (GCE> and redeploy your applications. Then customize the built-in Stackdriver Logging configuration to tail the log file in the application's pods and write to Stackdriver Logging.
- D. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.
Answer: B
Explanation:
https://cloud.google.com/architecture/customizing-stackdriver-logs-fluentd Besides the list of default logs that the Logging agent streams by default, you can customize the Logging agent to send additional logs to Logging or to adjust agent settings by adding input configurations. The configuration definitions in these sections apply to the fluent-plugin-google-cloud output plugin only and specify how logs are transformed and ingested into Cloud Logging. https://cloud.google.com/logging/docs/agent/logging/configuration#configure
NEW QUESTION 60
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 a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.
- C. 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.
- D. 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.
Answer: B
NEW QUESTION 61
Your company follows Site Reliability Engineering practices. You are the person in charge of Communications for a large, ongoing incident affecting your customer-facing applications. There is still no estimated time for a resolution of the outage. You are receiving emails from internal stakeholders who want updates on the outage, as well as emails from customers who want to know what is happening. You want to efficiently provide updates to everyone affected by the outage. What should you do?
- A. Provide all internal stakeholder emails to the Incident Commander, and allow them to manage internal communications. Focus on providing responses directly to customers.
- B. Delegate the responding to internal stakeholder emails to another member of the Incident Response Team.
Focus on providing responses directly to customers. - C. Provide periodic updates to all stakeholders in a timely manner. Commit to a "next update" time in all communications.
- D. Focus on responding to internal stakeholders at least every 30 minutes. Commit to "next update" times.
Answer: B
NEW QUESTION 62
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 63
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. Record data for the postmortem document of the incident.
- B. Roll back the experimental canary release.
- C. Start monitoring latency, traffic, errors, and saturation.
- D. Trace the origin of 500 errors and the root cause of increased latency.
Answer: C
NEW QUESTION 64
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. 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.
- 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. Publish various melrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.
Answer: D
NEW QUESTION 65
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