最新の-権威のあるProfessional-Cloud-Developer関連合格問題試験-試験の準備方法Professional-Cloud-Developer試験問題解説集

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Google Professional-Cloud-Developer認定試験は、Google Cloud Platform上でアプリケーションを構築および展開するスキルと知識を検証したいクラウド開発者にとって貴重な資格です。クラウド開発者の需要が引き続き高まる中、この認定資格は、開発者が競争力のある求人市場で目立ち、キャリアを進めるのに役立ちます。

>> Professional-Cloud-Developer関連合格問題 <<

100％合格率Professional-Cloud-Developer｜一番優秀なProfessional-Cloud-Developer関連合格問題試験｜試験の準備方法Google Certified Professional - Cloud Developer試験問題解説集

私たちのProfessional-Cloud-Developer試験問題は、最も重要で効果的な報酬は、あなたが試験に合格させ、Professional-Cloud-Developer認定試験資格書を得ることです。そしてそれは、すべての受験者が気になるものです。同時に、Professional-Cloud-Developerでより実用的なスキルを得ることもでき、あなたの仕事の効率を向上させます。私たちのProfessional-Cloud-Developer試験問題は信頼に値する商品です。

認定試験には、Google Cloud Platform 上のクラウドネイティブアプリケーション開発に関連する主要な概念と原則に対する候補者の理解を評価する多肢選択問題と多重選択問題が含まれます。試験時間は2時間で、合格スコアは75％です。候補者は、試験に合格するとデジタルバッジと証明書を受け取り、LinkedInなどのプロフェッショナルネットワーキングプラットフォームで共有することができます。

認定試験は、多肢選択問題とコーディングチャレンジから構成されています。候補者は、Google Cloud Platform を使用してクラウドアプリケーションを設計、開発、展開する能力がテストされます。試験は合格/不合格の基準で評価され、試験に合格した候補者は、Google Certified Professional - Cloud Developer 認定を受けることができます。

Google Certified Professional - Cloud Developer 認定 Professional-Cloud-Developer 試験問題 (Q201-Q206):

質問 # 201
You are developing a microservice-based application that will run on Google Kubernetes Engine (GKE). Some of the services need to access different Google Cloud APIs. How should you set up authentication of these services in the cluster following Google-recommended best practices? (Choose two.)

A. Use gcloud to bind the Kubernetes service account and the Google service account using roles/iam.workloadIdentity.
B. Access the Google service account keys from a secret management service.
C. Enable Workload Identity in the cluster via the gcloud command-line tool.
D. Use the service account attached to the GKE node.
E. Store the Google service account keys in a central secret management service.

正解：A、C

解説：
https://cloud.google.com/kubernetes-engine/docs/how-to/workload-identity

質問 # 202
You are developing an internal application that will allow employees to organize community events within your company. You deployed your application on a single Compute Engine instance. Your company uses Google Workspace (formerly G Suite), and you need to ensure that the company employees can authenticate to the application from anywhere. What should you do?

A. Add a public IP address to your instance, and allow traffic from the internet. Generate a random hash, and create a subdomain that includes this hash and points to your instance. Distribute this DNS address to your company's employees.
B. Add an HTTP(S) load balancer in front of the instance, and set up Identity-Aware Proxy (IAP).
Configure the IAP settings to allow your company domain to access the website.
C. Set up a VPN tunnel between your company network and your instance's VPC location on Google Cloud. Configure the required firewall rules and routing information to both the on-premises and Google Cloud networks.
D. Add a public IP address to your instance, and restrict access to the instance using firewall rules. Allow your company's proxy as the only source IP address.

正解：B

解説：
https://cloud.google.com/blog/topics/developers-practitioners/control-access-your-web-sites-identity-aware-prox

質問 # 203
Your application is composed of a set of loosely coupled services orchestrated by code executed on Compute Engine. You want your application to easily bring up new Compute Engine instances that find and use a specific version of a service. How should this be configured?

A. Define your service endpoint information as metadata that is retrieved at runtime and used to connect to the desired service.
B. Define your service endpoint information as label data that is retrieved at runtime and used to connect to the desired service.
C. Define your service endpoint information to be retrieved from an environment variable at runtime and used to connect to the desired service.
D. Define your service to use a fixed hostname and port to connect to the desired service. Replace the service at the endpoint with your new version.

正解：A

解説：
https://cloud.google.com/service-infrastructure/docs/service-metadata/reference/rest#service-endpoint

質問 # 204
You are working on a new application that is deployed on Cloud Run and uses Cloud Functions Each time new features are added, new Cloud Functions and Cloud Run services are deployed You use ENV variables to keep track of the services and enable interservice communication but the maintenance of the ENV variables has become difficult. You want to implement dynamic discovery in a scalable way. What should you do?

A. Rename the Cloud Functions and Cloud Run services endpoints using a well-documented naming convention
B. Configure your microservices to use the Cloud Run Admin and Cloud Functions APIs to query for deployed Cloud Run services and Cloud Functions in the Google Cloud project.
C. Deploy Hashicorp Consul on a single Compute Engine Instance Register the services with Consul during deployment and query during runtime
D. Create a Service Directory Namespace Use API calls to register the services during deployment, and query during runtime.

正解：B

質問 # 205
Your company is planning to migrate their on-premises Hadoop environment to the cloud. Increasing storage cost and maintenance of data stored in HDFS is a major concern for your company. You also want to make minimal changes to existing data analytics jobs and existing architecture.
How should you proceed with the migration?

A. Migrate your data stored in Hadoop to BigQuery. Change your jobs to source their information from BigQuery instead of the on-premises Hadoop environment.
B. Create Compute Engine instances with HDD instead of SSD to save costs. Then perform a full migration of your existing environment into the new one in Compute Engine instances.
C. Create a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop code objects to the new cluster. Move your data to Cloud Storage and leverage the Cloud Dataproc connector to run jobs on that data.
D. Create a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop environment to the new Cloud Dataproc cluster. Move your HDFS data into larger HDD disks to save on storage costs.

正解：C

質問 # 206
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