최신Professional-Cloud-Developer시험대비인증공부자료덤프공부자료

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Google Professional-Cloud-Developer (Google Certified Professional-Cloud Developer) 인증 시험은 GCP (Google Cloud Platform)에서 애플리케이션을 개발하고 배포하는 데있어 개인의 지식과 기술을 테스트하도록 설계되었습니다. 이 시험은 Google App Engine, Google Cloud Functions 및 Google Cloud Storage와 같은 GCP 서비스를 사용하여 클라우드 기반 애플리케이션을 구축하고 배포 한 경험이있는 개발자를위한 것입니다. 인증은 개발자가 GCP 도구 및 서비스를 사용하여 응용 프로그램을 설계, 개발, 배포 및 관리하는 데 필요한 지식과 기술을 가지고 있음을 확인합니다.

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Google Professional-Cloud-Developer퍼펙트 덤프공부자료 - Professional-Cloud-Developer퍼펙트 덤프공부

ITDumpsKR는 고객님의 IT자격증취득의 작은 소원을 이루어지게 도워드리는 IT인증시험덤프를 제공해드리는 전문적인 사이트입니다. ITDumpsKR 표 Google인증Professional-Cloud-Developer시험덤프가 있으면 인증시험걱정을 버리셔도 됩니다. ITDumpsKR 표 Google인증Professional-Cloud-Developer덤프는 시험출제 예상문제를 정리해둔 실제시험문제에 가장 가까운 시험준비공부자료로서 공을 들이지않고도 시험패스가 가능합니다.

Google Professional-Cloud-Developer 시험은 GCP (Google Cloud 플랫폼)에서 응용 프로그램을 개발하고 배포 할 수있는 개인의 능력을 테스트하는 인증 시험입니다. 이 인증은 GCP 도구 및 서비스를 사용하여 클라우드 기반 애플리케이션을 개발 한 경험이있는 전문가를위한 것입니다. 이 시험에는 GCP 인프라, 응용 프로그램 개발, 디버깅, 테스트 및 배포와 같은 주제가 다릅니다.

최신 Cloud Developer Professional-Cloud-Developer 무료샘플문제 (Q249-Q254):

질문 # 249
You need to redesign the ingestion of audit events from your authentication service to allow it to handle a large increase in traffic. Currently, the audit service and the authentication system run in the same Compute Engine virtual machine. You plan to use the following Google Cloud tools in the new architecture:
Multiple Compute Engine machines, each running an instance of the authentication service Multiple Compute Engine machines, each running an instance of the audit service Pub/Sub to send the events from the authentication services.
How should you set up the topics and subscriptions to ensure that the system can handle a large volume of messages and can scale efficiently?

정답:B

설명:
Explanation
https://cloud.google.com/pubsub/docs/subscriber "Multiple subscribers can make pull calls to the same "shared" subscription. Each subscriber will receive a subset of the messages."


질문 # 250
Case Study 2 - HipLocal
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data, and that they analyze and respond to any issues that occur.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well, but has limited experience in global scale applications. Their existing technical environment is as follows:
- Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
- State is stored in a single instance MySQL database in GCP.
- Release cycles include development freezes to allow for QA testing.
- The application has no logging.
- Applications are manually deployed by infrastructure engineers during periods of slow traffic on weekday evenings.
- There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
- Expand availability of the application to new regions.
- Support 10x as many concurrent users.
- Ensure a consistent experience for users when they travel to different regions.
- Obtain user activity metrics to better understand how to monetize their product.
- Ensure compliance with regulations in the new regions (for example, GDPR).
- Reduce infrastructure management time and cost.
- Adopt the Google-recommended practices for cloud computing.
Develop standardized workflows and processes around application lifecycle management.
Define service level indicators (SLIs) and service level objectives (SLOs).
Technical Requirements
- Provide secure communications between the on-premises data center and cloud-hosted applications and infrastructure.
- The application must provide usage metrics and monitoring.
- APIs require authentication and authorization.
- Implement faster and more accurate validation of new features.
- Logging and performance metrics must provide actionable information to be able to provide debugging information and alerts.
- Must scale to meet user demand.
For this question, refer to the HipLocal case study.
HipLocal's application uses Cloud Client Libraries to interact with Google Cloud. HipLocal needs to configure authentication and authorization in the Cloud Client Libraries to implement least privileged access for the application. What should they do?

정답:D


질문 # 251
Your application is deployed in a Google Kubernetes Engine (GKE) cluster. When a new version of your application is released, your CI/CD tool updates the spec.template.spec.containers[0].image value to reference the Docker image of your new application version. When the Deployment object applies the change, you want to deploy at least
1 replica of the new version and maintain the previous replicas until the new replica is healthy.
Which change should you make to the GKE Deployment object shown below?

정답:D

설명:
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-upgrades The simplest way to take advantage of surge upgrade is to configure maxSurge=1 maxUnavailable=0. This means that only 1 surge node can be added to the node pool during an upgrade so only 1 node will be upgraded at a time. This setting is superior to the existing upgrade configuration (maxSurge=0 maxUnavailable=1) because it speeds up Pod restarts during upgrades while progressing conservatively.


질문 # 252
Your App Engine standard configuration is as follows:
service: production
instance_class: B1
You want to limit the application to 5 instances.
Which code snippet should you include in your configuration?

정답:A

설명:
https://cloud.google.com/appengine/docs/standard/python/how-instances-are-managed 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.


질문 # 253
You are configuring a continuous integration pipeline using Cloud Build to automate the deployment of new container images to Google Kubernetes Engine (GKE). The pipeline builds the application from its source code, runs unit and integration tests in separate steps, and pushes the container to Container Registry. The application runs on a Python web server.
The Dockerfile is as follows:
FROM python:3.7-alpine -
COPY . /app -
WORKDIR /app -
RUN pip install -r requirements.txt
CMD [ "gunicorn", "-w 4", "main:app" ]
You notice that Cloud Build runs are taking longer than expected to complete. You want to decrease the build time. What should you do? (Choose two.)

정답:D,E

설명:
https://cloud.google.com/build/docs/optimize-builds/increase-vcpu-for-builds By default, Cloud Build runs your builds on a standard virtual machine (VM). In addition to the standard VM, Cloud Build provides several high-CPU VM types to run builds. To increase the speed of your build, select a machine with a higher vCPU to run builds. Keep in mind that although selecting a high vCPU machine increases your build speed, it may also increase the startup time of your build as Cloud Build only starts non-standard machines on demand.
https://cloud.google.com/build/docs/optimize-builds/speeding-up-builds#using_a_cached_docker_image The easiest way to increase the speed of your Docker image build is by specifying a cached image that can be used for subsequent builds. You can specify the cached image by adding the --cache-from argument in your build config file, which will instruct Docker to build using that image as a cache source.


질문 # 254
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