Associate-Cloud-Engineer최신버전시험공부자료, Associate-Cloud-Engineer퍼펙트덤프데모다운로드

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Google Associate-Cloud-Engineer 시험에 성공적으로 합격하면 개인이 GCP에서 응용 프로그램을 배포하고 관리하기 위해 필요한 지식과 기술을 보유하고 있다는 것을 입증합니다. 시험은 GCP 프로젝트 생성, 응용 프로그램 배포, 네트워킹, 스토리지, 컴퓨팅 및 보안 등 다양한 주제를 다룹니다. 시험에 합격한 후보자들은 GCP 서비스를 사용하여 고가용성, 확장성 및 보안이 보장된 응용 프로그램을 설계하고 배포하는 능력을 입증할 수 있습니다. 이 인증은 산업에서 높은 가치를 가지며 클라우드 컴퓨팅 분야에서 진출을 희망하는 개인들에게 새로운 일자리 기회를 열어줄 수 있습니다.

최신 Google Cloud Certified Associate-Cloud-Engineer 무료샘플문제 (Q95-Q100):

질문 # 95
You are building a data lake on Google Cloud for your Internet of Things (loT) application. The loT application has millions of sensors that are constantly streaming structured and unstructured data to your backend in the cloud. You want to build a highly available and resilient architecture based on Google-recommended practices. What should you do?

A. Stream data to Dataflow, and use Dataprep by Trifacta to send data to Bigtable.
B. Stream data to Dataflow, and use Storage Transfer Service to send data to BigQuery.
C. Stream data to Pub/Sub. and use Storage Transfer Service to send data to BigQuery.
D. Stream data to Pub/Sub, and use Dataflow to send data to Cloud Storage

정답：D

질문 # 96
You recently discovered that your developers are using many service account keys during their development process. While you work on a long term improvement, you need to quickly implement a process to enforce short-lived service account credentials in your company. You have the following requirements:
* All service accounts that require a key should be created in a centralized project called pj-sa.
* Service account keys should only be valid for one day.
You need a Google-recommended solution that minimizes cost. What should you do?

A. Implement a Cloud Run job to rotate all service account keys periodically in pj-sa. Enforce an org policy to deny service account key creation with an exception to pj-sa.
B. Enforce a DENY org policy constraint over the lifetime of service account keys for 24 hours. Disable attachment of service accounts to resources in all projects with an exception to pj-sa.
C. Enforce an org policy constraint allowing the lifetime of service account keys to be 24 hours. Enforce an org policy constraint denying service account key creation with an exception on pj-sa.
D. Implement a Kubernetes Cronjob to rotate all service account keys periodically. Disable attachment of service accounts to resources in all projects with an exception to pj-sa.

정답：A

설명：
According to the Google Cloud documentation, you can use organization policy constraints to control the creation and expiration of service account keys. The constraints are:
* constraints/iam.allowServiceAccountKeyCreation: This constraint allows you to specify which projects or folders can create service account keys. You can set the value to true or false, or use a condition to apply the constraint to specific service accounts. By setting this constraint to false for the organization and adding an exception for the pj-sa project, you can prevent developers from creating service account keys in other projects.
* constraints/iam.serviceAccountKeyMaxLifetime: This constraint allows you to specify the maximum lifetime of service account keys. You can set the value to a duration in seconds, such as 86400 for one day. By setting this constraint to 86400 for the organization, you can ensure that all service account keys expire after one day.
These constraints are recommended by Google Cloud as best practices to minimize the risk of service account key misuse or compromise. They also help you reduce the cost of managing service account keys, as you do not need to implement a custom solution to rotate or delete them.
References:
* 1: Associate Cloud Engineer Certification Exam Guide | Learn - Google Cloud
* 5: Create and delete service account keys - Google Cloud
* Organization policy constraints for service accounts

질문 # 97
You have developed a containerized web application that will serve Internal colleagues during business hours.
You want to ensure that no costs are incurred outside of the hours the application is used. You have just created a new Google Cloud project and want to deploy the application. What should you do?

A. Deploy the container on Cloud Run for Anthos, and set the minimum number of instances to zero
B. Deploy the container on App Engine flexible environment with autoscaling. and set the value min_instances to zero in the app yaml
C. Deploy the container on Cloud Run (fully managed), and set the minimum number of instances to zero.
D. Deploy the container on App Engine flexible environment with manual scaling, and set the value instances to zero in the app yaml

정답：C

설명：
https://cloud.google.com/kuberun/docs/architecture-overview#components_in_the_default_installation

질문 # 98
You have a Dockerfile that you need to deploy on Kubernetes Engine. What should you do?

A. Create a docker image from the Dockerfile and upload it to Container Registry.
Create a Deployment YAML file to point to that image.
Use kubectl to create the deployment with that file.
B. Create a docker image from the Dockerfile and upload it to Cloud Storage.
Create a Deployment YAML file to point to that image.
Use kubectl to create the deployment with that file.
C. Use gcloud app deploy <dockerfilename>.
D. Use kubectl app deploy <dockerfilename>.

정답：A

설명：
Create the image prior to deployment:
https://cloud.google.com/kubernetes-engine/docs/tutorials/hello-app
You cant deploy a docker file

질문 # 99
You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible node pool. After a few minutes, you use kubectl to examine the status of your Pod and observe that one of them is still in Pending status:

What is the most likely cause?

A. The node pool is configured with a service account that does not have permission to pull the container image used by the pending Pod.
B. The pending Pod was originally scheduled on a node that has been preempted between the creation of the Deployment and your verification of the Pods' status. It is currently being rescheduled on a new node.
C. The pending Pod's resource requests are too large to fit on a single node of the cluster.
D. Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod.

정답：D

질문 # 100
......

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Associate-Cloud-Engineer최신버전시험공부자료, Associate-Cloud-Engineer퍼펙트덤프데모다운로드

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Associate-Cloud-Engineer최신버전 시험공부자료 덤프로 시험정복하기

최신 Google Cloud Certified Associate-Cloud-Engineer 무료샘플문제 (Q95-Q100):

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