Best Preparations of Professional-Cloud-DevOps-Engineer Exam 2023 Cloud DevOps Engineer Unlimited 82 Questions
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The Professional-Cloud-DevOps-Engineer exam covers various topics, including cloud architecture and infrastructure, continuous delivery and release management, site reliability engineering, security, compliance, and troubleshooting. Candidates who pass the exam demonstrate their ability to design, implement, and manage scalable and secure solutions using Google Cloud technologies. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification is suitable for professionals who work in DevOps roles, cloud architects, and those who are responsible for developing and maintaining cloud-based applications and services.
Google Professional-Cloud-DevOps-Engineer is a certification exam offered by Google Cloud that tests the skills and knowledge of professionals in the field of cloud-based DevOps. Google Cloud Certified - Professional Cloud DevOps Engineer Exam certification demonstrates a candidate's ability to design, implement, and manage DevOps practices on the Google Cloud platform. It requires a solid understanding of software development, deployment, and cloud infrastructure management.
NEW QUESTION # 21
You are deploying an application that needs to access sensitive information. You need to ensure that this information is encrypted and the risk of exposure is minimal if a breach occurs. What should you do?
- A. Leverage a continuous build pipeline that produces multiple versions of the secret for each instance of the application.
- B. Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently
- C. Inject the secret at the time of instance creation via an encrypted configuration management system.
- D. Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application
Answer: B
Explanation:
https://cloud.google.com/security-key-management
NEW QUESTION # 22
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 0.5. Apply changes in testing before production.
- C. Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 0.5.
- D. 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.
Answer: D
NEW QUESTION # 23
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. 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.
- B. Before merging new code, require 2 different peers to review the code changes.
- C. Integrate a code linting tool to validate coding standards before any code is accepted into the repository.
- D. Adopt the blue/green deployment strategy when releasing new code via a CD server.
- E. Require developers to run automated integration tests on their local development environments before release.
Answer: B,C
NEW QUESTION # 24
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 deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
- B. Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.
- 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: B
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 # 25
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 a development environment for writing code and a test environment for configurations, experiments, and load testing.
- B. Secure the production environment to ensure that developers can't change it and set up one controlled update per year.
- C. Create a development environment with smaller server capacity and give access only to developers and testers.
- D. Create an automated testing script in production to detect failures as soon as they occur.
Answer: D
NEW QUESTION # 26
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 # 27
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 logic to each Cloud Build step to HTTP POST the build information to a webhook.
- C. Add a new step at the end of the pipeline in Cloud Build to HTTP POST the build information to a webhook.
- D. Use Stackdriver Logging to create a logs-based metric from the Cloud Buitd logs. Create an Alert with a Webhook notification type.
Answer: C
NEW QUESTION # 28
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
Explanation:
https://sre.google/workbook/implementing-slos/
In the SRE principles book, it's recommended treating the SLI as the ratio of two numbers: the number of good events divided by the total number of events. For example: Number of successful HTTP requests / total HTTP requests (success rate)
NEW QUESTION # 29
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. Create a Dataflow pipeline to analyze service metrics in real time.
- B. Analyze VPC flow logs along the path of the request.
- C. Use a distributed tracing framework such as OpenTelemetry or Stackdriver Trace.
- D. Investigate the Liveness and Readiness probes for each service.
Answer: A
NEW QUESTION # 30
You use Cloud Build to build and deploy your application. You want to securely incorporate database credentials and other application secrets into the build pipeline. You also want to minimize the development effort. What should you do?
- A. Encrypt the secrets and store them in the application repository. Store a decryption key in a separate repository and grant Cloud Build access to the repository.
- B. Create a Cloud Storage bucket and use the built-in encryption at rest. Store the secrets in the bucket and grant Cloud Build access to the bucket.
- C. Use Cloud Key Management Service (Cloud KMS) to encrypt the secrets and include them in your Cloud Build deployment configuration. Grant Cloud Build access to the KeyRing.
- D. Use client-side encryption to encrypt the secrets and store them in a Cloud Storage bucket. Store a decryption key in the bucket and grant Cloud Build access to the bucket.
Answer: C
NEW QUESTION # 31
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. Establish a communication channel where incident responders and leads can communicate with each other.
- B. Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.
- C. Look for ways to mitigate user impact and deploy the mitigations to production.
- D. Contact the affected service owners and update them on the status of the incident.
Answer: C
Explanation:
https://sre.google/sre-book/managing-incidents/
NEW QUESTION # 32
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. 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.
- B. Use Stackdriver Debugger to review the execution of logic within each application to instrument all applications.
- C. Instrument all applications with Stackdriver Profiler.
- D. Instrument all applications with Stackdriver Trace and review inter-service HTTP requests.
Answer: D
NEW QUESTION # 33
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 and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.
- B. Grant the team members the IAM role of logging.configWriter on Cloud IAM.
- C. Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.
- D. Configure Access Context Manager to allow only these members to export logs.
Answer: B
Explanation:
Explanation/Reference: https://cloud.google.com/logging/docs/access-control
NEW QUESTION # 34
You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices. What should you do first?
- A. Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.
- B. Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.
- C. Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.
- D. Reroute the user traffic from the affected region to other regions that don't report issues.
Answer: D
Explanation:
Google always aims to first stop the impact of an incident, and then find the root cause (unless the root cause just happens to be identified early on).
NEW QUESTION # 35
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 load test new features. What should you do?
- A. Create a development environment for writing code and a test environment for configurations, experiments, and load testing.
- B. Secure the production environment to ensure that developers can't change it and set up one controlled update per year.
- C. Create a development environment with smaller server capacity and give access only to developers and testers.
- D. Create an automated testing script in production to detect failures as soon as they occur.
Answer: D
NEW QUESTION # 36
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 Monitoring Viewer IAM role in the workspace project.
- B. Share the workspace Project ID with the SRE team. Assign the SRE team the Dashboard Viewer IAM role in the workspace project.
- C. Share the workspace Project ID with the SRE team. Assign the SRE team the Monitoring Viewer IAM role in the workspace project.
- D. 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.
Answer: B
NEW QUESTION # 37
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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.
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