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Professional-Cloud-Architect응시자료 & Professional-Cloud-Architect최신버전시험대비자료

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Professional-Cloud-Architect시험은 영어로 출제되는 만큼 시험난이도가 높다고 볼수 있습니다.하지만 Professional-Cloud-Architect덤프만 있다면 아무리 어려운 시험도 쉬워집니다. 오르지 못할 산도 정복할수 있는게 Professional-Cloud-Architect덤프의 우점입니다.Professional-Cloud-Architect덤프로 시험을 패스하여 자격증을 취득하시면 굳게 닫혔던 취업문도 자신있게 두드릴수 있습니다. Professional-Cloud-Architect덤프를 구매하시고 공부하시면 밝은 미래를 예약한것과 같습니다.

Google Professional-Cloud-Architect 시험을 준비하려면, 지원자들은 GCP를 사용하여 클라우드 솔루션을 디자인하고 구현하는 경험이 있어야 합니다. 또한 가상화, 네트워킹 및 스토리지와 같은 클라우드 컴퓨팅 개념을 잘 이해해야 합니다. Google은 시험을 볼 전에 Coursera에서 Architecting with Google Cloud Platform 전문화 과정을 완료하는 것을 권장합니다.

Google Professional-Cloud-Architect 인증은 GCP와 함께 일하는 전문가에게 귀중한 인증입니다. 인증은 GCP에서 안전하고 확장 가능하며 신뢰할 수있는 솔루션을 설계, 개발 및 관리하는 후보자의 지식과 기술을 테스트하도록 설계되었습니다. 인증은 업계에서 높이 평가되며 많은 조직에서 인정 받고 있습니다. 인증 시험에 합격하는 것은 GCP에 대한 후보자의 전문 지식과 조직의 요구를 충족시키는 솔루션을 설계하고 구현하는 능력에 대한 증거입니다.

>> Professional-Cloud-Architect응시자료 <<

Google Professional-Cloud-Architect최신버전 시험대비자료 & Professional-Cloud-Architect시험대비 덤프 최신문제

연구결과에 의하면Google인증 Professional-Cloud-Architect시험은 너무 어려워 시험패스율이 낮다고 합니다. Itexamdump의 Google인증 Professional-Cloud-Architect덤프와 만나면Google인증 Professional-Cloud-Architect시험에 두려움을 느끼지 않으셔도 됩니다. Itexamdump의 Google인증 Professional-Cloud-Architect덤프는 엘리트한 IT전문가들이 실제시험을 연구하여 정리해둔 퍼펙트한 시험대비 공부자료입니다. 저희 덤프만 공부하시면 시간도 절약하고 가격도 친근하며 시험준비로 인한 여러방면의 스트레스를 적게 받아Google인증 Professional-Cloud-Architect시험패스가 한결 쉬워집니다.

최신 Google Cloud Certified Professional-Cloud-Architect 무료샘플문제 (Q117-Q122):

질문 # 117
For this question, refer to the JencoMart case study.
JencoMart has decided to migrate user profile storage to Google Cloud Datastore and the application servers to Google Compute Engine (GCE). During the migration, the existing infrastructure will need access to Datastore to upload the data. What service account key-management strategy should you recommend?

• A. Provision service account keys for the on-premises infrastructure and use Google Cloud Platform (GCP) managed keys for the VMs
• B. Provision service account keys for the on-premises infrastructure and for the GCE virtual machines (VMs).
• C. Deploy a custom authentication service on GCE/Google Container Engine (GKE) for the on-premises infrastructure and use GCP managed keys for the VMs.
• D. Authenticate the on-premises infrastructure with a user account and provision service account keys for the VMs.

정답：B

설명：
Explanation
https://cloud.google.com/iam/docs/understanding-service-accounts
Migrating data to Google Cloud Platform
Let's say that you have some data processing that happens on another cloud provider and you want to transfer the processed data to Google Cloud Platform. You can use a service account from the virtual machines on the external cloud to push the data to Google Cloud Platform. To do this, you must create and download a service account key when you create the service account and then use that key from the external process to call the Cloud Platform APIs.
References:
https://cloud.google.com/iam/docs/understanding-service-accounts#migrating_data_to_google_cloud_platform

 

질문 # 118
Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface. How should you store the data to optimize it for ease of analysis?

• A. Insert data into Google Cloud SQL.
• B. Load data into Google BigQuery.
• C. Stream data into Google Cloud Datastore.
• D. Put flat files into Google Cloud Storage.

정답：B

설명：
Explanation
Google Big Query is for multi peta byte storage , HA(High availability) which means 24 hours, SQL interface
.
https://medium.com/google-cloud/the-12-components-of-google-bigquery-c2b49829a7c7
https://cloud.google.com/solutions/bigquery-data-warehouse
https://cloud.google.com/bigquery/
BigQuery is Google's serverless, highly scalable, low cost enterprise data warehouse designed to make all your data analysts productive. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL and you don't need a database administrator.
BigQuery enables you to analyze all your data by creating a logical data warehouse over managed, columnar storage as well as data from object storage, and spreadsheets.
References: https://cloud.google.com/bigquery/

 

질문 # 119
Your team is developing a web application that will be deployed on Google Kubernetes Engine (GKE). Your CTO expects a successful launch and you need to ensure your application can handle the expected load of tens of thousands of users. You want to test the current deployment to ensure the latency of your application stays below a certain threshold. What should you do?

• A. Enable autoscaling on the GKE cluster and enable horizontal pod autoscaling on your application deployments. Send curl requests to your application, and validate if the auto scaling works.
• B. Use Cloud Debugger in the development environment to understand the latency between the different microservices.
• C. Replicate the application over multiple GKE clusters in every Google Cloud region. Configure a global HTTP (S) load balancer to expose the different clusters over a single global IP address.
• D. Use a load testing tool to simulate the expected number of concurrent users and total requests to your application, and inspect the results.

정답：A

 

질문 # 120
Your company has an application deployed on Anthos clusters (formerly Anthos GKE) that is running multiple microservices. The cluster has both Anthos Service Mesh and Anthos Config Management configured. End users inform you that the application is responding very slowly. You want to identify the microservice that is causing the delay. What should you do?

• A. Use Anthos Config Management to create a ClusterSelector selecting the relevant cluster. On the Google Cloud Console page for Google Kubernetes Engine, view the Workloads and filter on the cluster. Inspect the configurations of the filtered workloads.
• B. Use the Service Mesh visualization in the Cloud Console to inspect the telemetry between the microservices.
• C. Reinstall istio using the default istio profile in order to collect request latency. Evaluate the telemetry between the microservices in the Cloud Console.
• D. Use Anthos Config Management to create a namespaceSelector selecting the relevant cluster namespace. On the Google Cloud Console page for Google Kubernetes Engine, visit the workloads and filter on the namespace. Inspect the configurations of the filtered workloads.

정답：B

설명：
The Anthos Service Mesh pages in the Google Cloud Console provide both summary and in-depth metrics, charts, and graphs that enable you to observe service behavior. You can monitor the overall health of your services, or drill down on a specific service to set a service level objective (SLO) or troubleshoot an issue. https://cloud.google.com/service-mesh/docs/observability/explore-dashboard
https://cloud.google.com/anthos/service-mesh

 

질문 # 121
You are moving an application that uses MySQL from on-premises to Google Cloud. The application will run on Compute Engine and will use Cloud SQL. You want to cut over to the Compute Engine deployment of the application with minimal downtime and no data loss to your customers. You want to migrate the application with minimal modification. You also need to determine the cutover strategy. What should you do?

• A. 1. Stop the on-premises application.
  2.Create a mysqldump of the on-premises MySQL server.
  3.Upload the dump to a Cloud Storage bucket.
  4.Import the dump into Cloud SQL.
  5.Start the application on Compute Engine.
• B. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
  2.Stop the on-premises application.
  3.Create a mysqldump of the on-premises MySQL server.
  4.Upload the dump to a Cloud Storage bucket.
  5.Import the dump into Cloud SQL.
  6.Modify the source code of the application to write queries to both databases and read from its local database.
  7.Start the Compute Engine application.
  8.Stop the on-premises application.
• C. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
  2.Stop the on-premises application.
  3.Start the Compute Engine application, configured to read and write to the on-premises MySQL server.
  4.Create the replication configuration in Cloud SQL.
  5.Configure the source database server to accept connections from the Cloud SQL replica.
  6.Finalize the Cloud SQL replica configuration.
  7.When replication has been completed, stop the Compute Engine application.
  8.Promote the Cloud SQL replica to a standalone instance.
  9.Restart the Compute Engine application, configured to read and write to the Cloud SQL standalone instance.
• D. 1. Set up Cloud SQL proxy and MySQL proxy.
  2.Create a mysqldump of the on-premises MySQL server.
  3.Upload the dump to a Cloud Storage bucket.
  4.Import the dump into Cloud SQL.
  5.Stop the on-premises application.
  6.Start the Compute Engine application.

정답：C

설명：
External replica promotion migration In the migration strategy of external replica promotion, you create an external database replica and synchronize the existing data to that replica. This can happen with minimal downtime to the existing database. When you have a replica database, the two databases have different roles that are referred to in this document as primary and replica. After the data is synchronized, you promote the replica to be the primary in order to move the management layer with minimal impact to database uptime. In Cloud SQL, an easy way to accomplish the external replica promotion is to use the automated migration workflow. This process automates many of the steps that are needed for this type of migration.
https://cloud.google.com/architecture/migrating-mysql-to-cloudsql-concept
- The best option for migrating your MySQL database is to use an external replica promotion. In this strategy, you create a replica database and set your existing database as the primary. You wait until the two databases are in sync, and you then promote your MySQL replica database to be the primary. This process minimizes database downtime related to the database migration. -
https://cloud.google.com/architecture/migrating-mysql-to-cloudsql-concept#external_replica_promotion_migra

 

질문 # 122
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