2022 Updated Verified Professional-Cloud-DevOps-Engineer dumps Q&As – 100% Pass Guaranteed [Q35-Q49]

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2022 Updated Verified Professional-Cloud-DevOps-Engineer dumps Q&As – 100% Pass Guaranteed

Provide Valid Dumps To Help You Prepare For Google Cloud Certified – Professional Cloud DevOps Engineer Exam Exam

NEW QUESTION 35
You support a multi-region web service running on Google Kubernetes Engine (GKE) behind a Global HTTP’S Cloud Load Balancer (CLB). For legacy reasons, user requests first go through a third-party Content Delivery Network (CDN). which then routes traffic to the CLB. You have already implemented an availability Service Level Indicator (SLI) at the CLB level. However, you want to increase coverage in case of a potential load balancer misconfiguration. CDN failure, or other global networking catastrophe. Where should you measure this new SLI?
Choose 2 answers

Your application servers’ logs

Instrumentation coded directly in the client

Metrics exported from the application servers

GKE health checks for your application servers

A synthetic client that periodically sends simulated user requests

NEW QUESTION 36
You support a production service that runs on a single Compute Engine instance. You regularly need to spend time on recreating the service by deleting the crashing instance and creating a new instance based on the relevant image. You want to reduce the time spent performing manual operations while following Site Reliability Engineering principles. What should you do?

File a bug with the development team so they can find the root cause of the crashing instance.

Create a Managed Instance Group with a single instance and use health checks to determine the system status.

Add a Load Balancer in front of the Compute Engine instance and use health checks to determine the system status.

Create a Stackdriver Monitoring dashboard with SMS alerts to be able to start recreating the crashed instance promptly after it has crashed.

NEW QUESTION 37
You are ready to deploy a new feature of a web-based application to production. You want to use Google Kubernetes Engine (GKE) to perform a phased rollout to half of the web server pods.
What should you do?

Use a partitioned rolling update.

Use Node taints with NoExecute.

Use a replica set in the deployment specification.

Use a stateful set with parallel pod management policy.

NEW QUESTION 38
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?

Disable the CI pipeline and revert to manually building and pushing the artifacts.

Change the CI pipeline to push the artifacts is Container Registry instead of Docker Hub.

Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.

Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.

NEW QUESTION 39
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?

Disable the CI pipeline and revert to manually building and pushing the artifacts.

Change the CI pipeline to push the artifacts to Container Registry instead of Docker Hub.

Upload the configuration YAML file to Cloud Storage and use Error Reporting to identify and fix the issue.

Run a Git compare between the previous and current Cloud Build Configuration files to find and fix the bug.

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?

Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.

Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.

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.

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.

NEW QUESTION 41
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?

Configure the build system with protected branches that require pull request approval.

Use an Admission Controller to verify that incoming requests originate from approved sources.

Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.

Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.

NEW QUESTION 42
You are developing a strategy for monitoring your Google Cloud Platform (GCP) projects in production using Stackdriver Workspaces. One of the requirements is to be able to quickly identify and react to production environment issues without false alerts from development and staging projects. You want to ensure that you adhere to the principle of least privilege when providing relevant team members with access to Stackdriver Workspaces. What should you do?

Grant relevant team members read access to all GCP production projects. Create Stackdriver workspaces inside each project.

Grant relevant team members the Project Viewer IAM role on all GCP production projects. Create Slackdriver workspaces inside each project.

Choose an existing GCP production project to host the monitoring workspace. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.

Create a new GCP monitoring project, and create a Stackdriver Workspace inside it. Attach the production projects to this workspace. Grant relevant team members read access to the Stackdriver Workspace.

NEW QUESTION 43
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?

Analyze VPC flow logs along the path of the request.

Investigate the Liveness and Readiness probes for each service.

Create a Dataflow pipeline to analyze service metrics in real time.

Use a distributed tracing framework such as OpenTelemetry or Stackdriver Trace.

NEW QUESTION 44
You deploy a new release of an internal application during a weekend maintenance window when there is minimal user tragic. 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 two.)

Before merging new code, require 2 different peers to review the code changes.

Adopt the blue/green deployment strategy when releasing new code via a CD server.

Integrate a code linting tool to validate coding standards before any code is accepted into the repository.

Require developers to run automated integration tests on their local development environments before release.

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.

NEW QUESTION 45
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?

flex/connections/current

tcp_ssl_proxy/new_connections

tcp_ssl_proxy/open_connections

flex/instance/connections/current

NEW QUESTION 46
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?

MTTD: 5
MTTR: 10
MTBF: 90
Impact: 33%

MTTD:5
MTTR: 20
MTBF: 90
Impact: 33%

MTTD:5
MTTR: 10
MTBF: 90
Impact 50%

MTTD:5
MTTR: 20
MTBF: 90
Impact: 50%

NEW QUESTION 47
You are managing an application that exposes an HTTP endpoint without using a load balancer. The latency of the HTTP responses is important for the user experience. You want to understand what HTTP latencies all of your users are experiencing. You use Stackdriver Monitoring. What should you do?

* In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE.
* In Stackdriver’s Metrics Explorer, use a Slacked Bar graph to visualize the metric.

* In your application, create a metric with a metricKind set to CUMULATIVE and a valueType set to DOUBLE.
* In Stackdriver’s Metrics Explorer, use a Line graph to visualize the metric.

* In your application, create a metric with a metricKind set to gauge and a valueType set to distribution.
* In Stackdriver’s Metrics Explorer, use a Heatmap graph to visualize the metric.

* In your application, create a metric with a metricKind. set toMETRlc_KIND_UNSPECIFIEDanda valueType set to INT64.
* In Stackdriver’s Metrics Explorer, use a Stacked Area graph to visualize the metric.

NEW QUESTION 48
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?

Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.

Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.

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.

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.

NEW QUESTION 49
You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?

Use Stackdriver Kubernetes Engine Monitoring.

Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.

Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.

Use Stackdriver Logging to export application logs to BigOuery. aggregate logs per container, and then analyze CPU and memory consumption.

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