Professional-Cloud-Architect시험대비덤프데모문제, Professional-Cloud-Architect시험대비공부하기

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Google Professional-Cloud-Architect인증시험이 이토록 인기가 많으니 우리Fast2test에서는 모든 힘을 다하여 여러분이 응시에 도움을 드리겠으며 또 일년무료 업뎃서비스를 제공하며, Fast2test 선택으로 여러분은 자신의 꿈과 더 가까워질 수 있습니다. 희망찬 내일을 위하여 Fast2test선택은 정답입니다. Fast2test선택함으로 당신이 바로 진정한IT인사입니다.

Google Professional-Cloud-Architect 시험은 클라우드 아키텍처에 관여하는 전문가들을 위해 설계된 자격증입니다. 이 자격증은 Google에서 제공되며, Google Cloud Platform (GCP)에서 안전하고 확장 가능하며 신뢰성이 높은 솔루션을 디자인, 개발 및 관리하려는 사람들을 대상으로 합니다. 이 자격증은 GCP와 함께 일하는 아키텍트, 엔지니어 및 개발자들을 대상으로 하며, 그들의 지식과 기술을 증명하고자 합니다.

>> Professional-Cloud-Architect시험대비 덤프데모문제 <<

Professional-Cloud-Architect시험대비 덤프데모문제 인기시험 덤프 데모문제

지난 몇년동안 IT산업의 지속적인 발전과 성장을 통해Google 인증Professional-Cloud-Architect시험은 IT인증시험중의 이정표로 되어 많은 인기를 누리고 있습니다. IT인증시험을Fast2test덤프로 준비해야만 하는 이유는Fast2test덤프는 IT업계전문가들이 실제시험문제를 연구하여 시험문제에 대비하여 예상문제를 제작했다는 점에 있습니다.

이 시험은 객관식 및 시나리오 기반 문제로 구성되어 있으며, 후보자의 지식과 기술을 다양한 분야에서 테스트하기 위해 설계되었습니다. 이 분야에는 클라우드 솔루션 아키텍처를 디자인하고 계획하는 것, 클라우드 인프라를 관리하고 프로비저닝하는 것, 비용과 성능을 최적화하는 클라우드 솔루션, 클라우드 솔루션의 보안 및 규정 준수를 보장하는 것 등이 포함됩니다.

최신 Google Cloud Certified Professional-Cloud-Architect 무료샘플문제 (Q84-Q89):

질문 # 84
Your company has decided to build a backup replica of their on-premises user authentication PostgreSQL database on Google Cloud Platform. The database is 4 TB, and large updates are frequent. Replication requires private address space communication. Which networking approach should you use?

  • A. Google Cloud Dedicated Interconnect
  • B. A Google Compute Engine instance with a VPN server installed connected to the data center network
  • C. A NAT and TLS translation gateway installed on-premises
  • D. Google Cloud VPN connected to the data center network

정답:A

설명:
Explanation
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations Google Cloud Dedicated Interconnect provides direct physical connections and RFC 1918 communication between your on-premises network and Google's network. Dedicated Interconnect enables you to transfer large amounts of data between networks, which can be more cost effective than purchasing additional bandwidth over the public Internet or using VPN tunnels.
Benefits:
* Traffic between your on-premises network and your VPC network doesn't traverse the public Internet.
Traffic traverses a dedicated connection with fewer hops, meaning there are less points of failure where traffic might get dropped or disrupted.
* Your VPC network's internal (RFC 1918) IP addresses are directly accessible from your on-premises network. You don't need to use a NAT device or VPN tunnel to reach internal IP addresses. Currently, you can only reach internal IP addresses over a dedicated connection. To reach Google external IP addresses, you must use a separate connection.
* You can scale your connection to Google based on your needs. Connection capacity is delivered over one or more 10 Gbps Ethernet connections, with a maximum of eight connections (80 Gbps total per interconnect).
* The cost of egress traffic from your VPC network to your on-premises network is reduced. A dedicated connection is generally the least expensive method if you have a high-volume of traffic to and from Google's network.
References: https://cloud.google.com/interconnect/docs/details/dedicated


질문 # 85
You have an application that will run on Compute Engine. You need to design an architecture that takes into account a disaster recovery plan that requires your application to fail over to another region in case of a regional outage. What should you do?

  • A. Deploy the application on two Compute Engine instances in the same project but in a different region. Use the first instance to serve traffic, and use the HTTP load balancing service to fail over to the standby instance in case of a disaster.
  • B. Deploy the application on two Compute Engine instance groups, each in separate project and a different region. Use the first instance group to server traffic, and use the HTTP load balancing service to fail over to the standby instance in case of a disaster.
  • C. Deploy the application on two Compute Engine instance groups, each in the same project but in a different region. Use the first instance group to serve traffic, and use the HTTP load balancing service to fail over to the standby instance group in case of a disaster.
  • D. Deploy the application on a Compute Engine instance. Use the instance to serve traffic, and use the HTTP load balancing service to fail over to an instance on your premises in case of a disaster.

정답:C


질문 # 86
A news teed web service has the following code running on Google App Engine. During peak load, users report that they can see news articles they already viewed. What is the most likely cause of this problem?

  • A. The HTTP Expires header needs to be set to -1 to stop caching.
  • B. The session variable is being overwritten in Cloud Datastore.
  • C. The session variable is local to just a single instance.
  • D. The URL of the API needs to be modified to prevent caching.

정답:B


질문 # 87
Your architecture calls for the centralized collection of all admin activity and VM system logs within your project.
How should you collect these logs from both VMs and services?

  • A. Stackdriver automatically collects admin activity logs for most services. The Stackdriver Logging agent must be installed on each instance to collect system logs.
  • B. Install the Stackdriver Logging agent on a single compute instance and let it collect all audit and access logs for your environment.
  • C. Launch a custom syslogd compute instance and configure your GCP project and VMs to forward all logs to it.
  • D. All admin and VM system logs are automatically collected by Stackdriver.

정답:A


질문 # 88
You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also to reliably deploy new versions of the application. Which set of steps should you take?

  • A. Perform the following:
    1) Create a managed instance group with n1-standard-1 type machines.
    2) Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app.
    3) Rebuild the Compute Engine image, and update the instance template to deploy new production releases.
  • B. Perform the following:
    1) Create a Kubernetes Engine cluster with n1-standard-4 type machines.
    2) Build a Docker image from the master branch will all of the dependencies, and tag it with "latest".
    3) Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to "Always".
    Restart the pods to automatically deploy new production releases.
  • C. Perform the following:
    1) Create a managed instance group with f1-micro type machines.
    2) Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app.
    3) Restart the instances to automatically deploy new production releases.
  • D. Perform the following:
    1) Create a Kubernetes Engine cluster with n1-standard-1 type machines.
    2) Build a Docker image from the production branch with all of the dependencies, and tag it with the
    3) Create a Kubernetes Deployment with the imagePullPolicy set to "IfNotPresent" in the staging namespace, and then promote it to the production namespace after testing.

정답:B

설명:
https://cloud.google.com/compute/docs/instance-templates


질문 # 89
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Professional-Cloud-Architect시험대비 공부하기: https://kr.fast2test.com/Professional-Cloud-Architect-premium-file.html

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