Associate-Cloud-Engineer적중율높은덤프100%합격보장가능한시험대비자료

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Google Associate-Cloud-Engineer인증시험덤프는 적중율이 높아 100% Google Associate-Cloud-EngineerGoogle Associate-Cloud-Engineer시험에서 패스할수 있게 만들어져 있습니다. 덤프는 IT전문가들이 최신 실러버스에 따라 몇년간의 노하우와 경험을 충분히 활용하여 연구제작해낸 시험대비자료입니다. 저희 Google Associate-Cloud-Engineer덤프는 모든 시험유형을 포함하고 있는 퍼펙트한 자료기에 한방에 시험패스 가능합니다.

Google Associate Cloud Engineer 인증을 달성하는 것은 클라우드 컴퓨팅 산업의 전문가에게 중요한 성과가 될 수 있습니다. Google Cloud Technologies 사용에 대한 전문 지식을 보여주고 경력 발전을위한 새로운 기회를 열 수 있습니다. 또한 조직이 Google Cloud Technologies를 사용하여 클라우드 솔루션을 효과적으로 관리하는 데 필요한 기술과 지식을 가진 개인을 식별하는 데 도움이 될 수 있습니다.

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Associate-Cloud-Engineer유효한 덤프자료, Associate-Cloud-Engineer완벽한 공부문제

Fast2test 는 전문적으로 Google전문인사들에게 도움을 드리는 사이트입니다.많은 분들의 반응과 리뷰를 보면 우리Fast2test의 Associate-Cloud-Engineer제품이 제일 안전하고 최신이라고 합니다. Fast2test의 학습가이드는 아주 믿음이 가는 문제집들만 있으니까요. Fast2test 덤프의 문제와 답은 모두 제일 정확합니다. 왜냐면 우리의 전문가들은 매일 최신버전을 갱신하고 있기 때문입니다.

Google Associate-Cloud-Engineer 인증은 클라우드 컴퓨팅에서 자신의 기술과 지식을 보여 주려는 전문가에게 필수 인증입니다. GCP 솔루션을 관리하고 배포하는 능력을 검증하고 고용주가 전 세계적으로 인정합니다. 오늘날의 비즈니스 세계에서 클라우드 컴퓨팅이 점점 더 중요 해짐에 따라이 인증을 획득하면 경력을 발전시키고 수입 잠재력을 높이는 데 도움이 될 수 있습니다.

최신 Google Cloud Certified Associate-Cloud-Engineer 무료샘플문제 (Q36-Q41):

질문 # 36
You need to select and configure compute resources for a set of batch processing jobs. These jobs take around 2 hours to complete and are run nightly. You want to minimize service costs. What should you do?

A. Select Google Kubernetes Engine. Use a three-node cluster with micro instance types.
B. Select Compute Engine. Use VM instance types that support micro bursting.
C. Select Google Kubernetes Engine. Use a single-node cluster with a small instance type.
D. Select Compute Engine. Use preemptible VM instances of the appropriate standard machine type.

정답：D

질문 # 37
You created a Kubernetes deployment by running kubectl run nginx image=nginx labels=app=prod. Your Kubernetes cluster is also used by a number of other deployments.
How can you find the identifier of the pods for this nginx deployment?

A. kubectl get pods -I "app=prod"
B. gcloud get pods -selector="app=prod"
C. kubectl get deployments -output=pods
D. gcloud list gke-deployments -filter={pod }

정답：A

설명：
This command correctly lists pods that have the label app=prod. When creating the deployment, we used the label app=prod so listing pods that have this label retrieve the pods belonging to nginx deployments. You can list pods by using Kubernetes CLI kubectl get pods.

질문 # 38
Your company has embraced a hybrid cloud strategy where some of the applications are deployed on Google Cloud. A Virtual Private Network (VPN) tunnel connects your Virtual Private Cloud (VPC) in Google Cloud with your company's on-premises network. Multiple applications in Google Cloud need to connect to an on-premises database server, and you want to avoid having to change the IP configuration in all of your applications when the IP of the database changes.
What should you do?

A. Configure the IP of the database as custom metadata for each instance,
B. Query the Compute Engine internal DNS from the applications to retrieve the IP of the database.
C. Create a private zone on Cloud DNS, and configure the applications with the DNS name.
D. Configure Cloud NAT for all subnets of your VPC to be used when egressing from the VM instances.

정답：D

질문 # 39
You have successfully created a development environment in a project for an application. This application uses Compute Engine and Cloud SQL. Now, you need to create a production environment for this application. The security team has forbidden the existence of network routes between these 2 environments, and asks you to follow Google-recommended practices. What should you do?

A. Ask the security team to grant you the Project Editor role in an existing production project used by another division of your company. Once they grant you that role, replicate the setup you have in the development environment in that project.
B. Create a new project, enable the Compute Engine and Cloud SQL APIs in that project, and replicate the setup you have created in the development environment.
C. Create a new project, modify your existing VPC to be a Shared VPC, share that VPC with your new project, and replicate the setup you have in the development environment in that new project, in the Shared VPC.
D. Create a new production subnet in the existing VPC and a new production Cloud SQL instance in your existing project, and deploy your application using those resources.

정답：B

설명：
Explicitly they asking not sharing the resources and use the GCP best Practices.
GCP Best practices indicate create a new project for every environment (DEV, QA, PRD).
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations#project- structure

질문 # 40
You have an application that uses Cloud Spanner as a backend database. The application has a very predictable traffic pattern. You want to automatically scale up or down the number of Spanner nodes depending on traffic. What should you do?

A. Create a Stackdriver alerting policy to send an alert to webhook when Cloud Spanner CPU is over or under your threshold. Create a Cloud Function that listens to HTTP and resizes Spanner resources accordingly.
B. Create a cron job that runs on a scheduled basis to review stackdriver monitoring metrics, and then resize the Spanner instance accordingly.
C. Create a Stackdriver alerting policy to send an alert to Google Cloud Support email when Cloud Spanner CPU exceeds your threshold. Google support would scale resources up or down accordingly.
D. Create a Stackdriver alerting policy to send an alert to oncall SRE emails when Cloud Spanner CPU exceeds the threshold. SREs would scale resources up or down accordingly.

정답：A

설명：
As to mexblood1's point, CPU utilization is a recommended proxy for traffic when it comes to Cloud Spanner.
See: Alerts for high CPU utilization The following table specifies our recommendations for maximum CPU usage for both single-region and multi-region instances. These numbers are to ensure that your instance has enough compute capacity to continue to serve your traffic in the event of the loss of an entire zone (for single-region instances) or an entire region (for multi-region instances).
-https://cloud.google.com/spanner/docs/cpu-utilization

질문 # 41
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