Professional-Cloud-DevOps-Engineer Exam Vce Format - Latest Professional-Cloud-DevOps-Engineer Questions

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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.
Earning the Google Professional-Cloud-DevOps-Engineer certification demonstrates to employers and clients that a professional has the skills and knowledge to design, implement, and manage DevOps practices and processes on the Google Cloud Platform. It can lead to career advancement opportunities and higher salaries. Additionally, it can help organizations that use Google Cloud Platform to identify and hire qualified professionals to manage their DevOps practices.
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Career Prospects
The Google Professional Cloud DevOps Engineer certification demonstrates your ability to efficiently perform the development operations that can balance service reliability and delivery speed. After completing the qualifying exam, you will be proficient in using Google Cloud Platform to build software delivery pipelines, deploy & monitor services, and manage incidents. This expertise will give you access to endless opportunities for career development. Immediately after getting certified, you can start a career as a Cloud DevOps Engineer. Additionally, you can apply for the related job roles, such as a DevOps Infrastructure Engineer, a Cloud Solutions Architect, a GCP Cloud Native Architect, a Google Cloud Platform Data Architect, a GCP Cloud Data Engineer, and more. The average salary that the certificate holders can earn ranges between $137,000 and $180,000 per year.
Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q189-Q194):
NEW QUESTION # 189
A third-party application needs to have a service account key to work properly When you try to export the key from your cloud project you receive an error "The organization policy constraint larn.
disableServiceAccountKeyCreation is enforcedM You need to make the third-party application work while following Google-recommended security practices What should you do?
- A. Enable the default service account key. and download the key
- B. Disable the service account key creation policy at the project's folder, and download the default key
- C. Remove the iam.disableServiceAccountKeyCreation policy at the organization level, and create a key.
- D. Add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key.
Answer: D
Explanation:
The best option for making the third-party application work while following Google-recommended security practices is to add a rule to set the iam.disableServiceAccountKeyCreation policy to off in your project and create a key. The iam.disableServiceAccountKeyCreation policy is an organization policy that controls whether service account keys can be created in a project or organization. By default, this policy is set to on, which means that service account keys cannot be created. However, you can override this policy at a lower level, such as a project, by adding a rule to set it to off. This way, you can create a service account key for your project without affecting other projects or organizations. You should also follow the best practices for managing service account keys, such as rotating them regularly, storing them securely, and deleting them when they are no longer needed.
NEW QUESTION # 190
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. A quality SLI: the ratio of non-degraded responses to total responses
- B. An availability SLI: the ratio of healthy microservices to the total number of microservices
- C. A latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls
- D. A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes
Answer: B
Explanation:
https://cloud.google.com/blog/products/gcp/available-or-not-that-is-the-question-cre-life-lessons
NEW QUESTION # 191
Your organization is starting to containerize with Google Cloud. You need a fully managed storage solution for container images and Helm charts. You need to identify a storage solution that has native integration into existing Google Cloud services, including Google Kubernetes Engine (GKE), Cloud Run, VPC Service Controls, and Identity and Access Management (IAM). What should you do?
- A. Use Docker to configure a Cloud Storage driver pointed at the bucket owned by your organization.
- B. Configure Container Registry as an OCI-based container registry for container images.
- C. Configure an open source container registry server to run in GKE with a restrictive role-based access control (RBAC) configuration.
- D. Configure Artifact Registry as an OCI-based container registry for both Helm charts and container images.
Answer: D
NEW QUESTION # 192
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. Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom 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 Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.
Answer: B
Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/custom-and-external-metrics#custom_metrics
https://github.com/GoogleCloudPlatform/k8s-stackdriver/blob/master/custom-metrics-stackdriver-adapter/README.md Your application can report a custom metric to Cloud Monitoring. You can configure Kubernetes to respond to these metrics and scale your workload automatically. For example, you can scale your application based on metrics such as queries per second, writes per second, network performance, latency when communicating with a different application, or other metrics that make sense for your workload. https://cloud.google.com/kubernetes-engine/docs/concepts/custom-and-external-metrics
NEW QUESTION # 193
Your team is designing a new application for deployment both inside and outside Google Cloud Platform (GCP). You need to collect detailed metrics such as system resource utilization. You want to use centralized GCP services while minimizing the amount of work required to set up this collection system. What should you do?
- A. Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.
- B. Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.
- C. Install an Application Performance Monitoring (APM) tool in both locations, and configure an export to a central data storage location for analysis.
- D. Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.
Answer: B
NEW QUESTION # 194
......
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