Google Professional-Cloud-Developer 시험 개요:
| 인증 벤더: | Google Cloud |
|---|---|
| 시험명: | Google Certified Professional - Cloud Developer |
| 시험 번호: | Professional-Cloud-Developer |
| 자격증 유효 기간: | 2년 |
| 시험 형식: | 객관식, 복수 선택 |
| 응시료: | $200 USD |
| 관련 자격증: | Google Cloud Certified - Professional Cloud DevOps Engineer Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Cloud Architect |
| 시험 시간: | 120분 |
| 실제 시험 문항 수: | 50-60 |
| 지원 언어: | 영어, 일본어 |
| 샘플 문제: | Google Professional-Cloud-Developer 샘플 문제 |
| 응시 방법: | 온라인 감독 또는 시험 센터 현장 감독 |
| 전제 조건: | 정식 선행 조건은 없습니다. 권장 경험: Google Cloud를 사용하여 솔루션을 설계하고 관리한 경험을 포함해 3년 이상의 업계 경력 및 1년 이상의 관련 경험. |
| 공식 요강 URL: | https://cloud.google.com/learn/certification/cloud-developer |
Google Professional-Cloud-Developer 시험요강:
| 주제 | 소개 |
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| 주제 1 |
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| 주제 2 |
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| 주제 3 |
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| 주제 4 |
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| 주제 5 |
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| 주제 6 |
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| 주제 7 |
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| 주제 8 |
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| 주제 9 |
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| 주제 10 |
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| 주제 11 |
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| 주제 12 |
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참조: https://cloud.google.com/certification/cloud-developer
최신 Cloud Developer Professional-Cloud-Developer 무료샘플문제
문제 #1
You developed a Python script that retrieves information from files that are uploaded to Cloud Storage and writes the information to Bigtable. You have completed testing on your local environment and created the python-script service account with the Bigtable User IAM role. You want to deploy the code with the appropriate authentication while following Google-recommended practices. What should you do?
A. 1. Deploy your image to Cloud Run. Create a trigger in Cloud Scheduler that triggers the service every minute.
2. Create a service account key for authentication.
B. 1. Deploy your image to Cloud Run. Create a trigger in Cloud Scheduler that triggers the service every minute.
2. Configure IAM binding for authentication.
C. 1. Deploy your code to Cloud Run functions. Create a Cloud Storage trigger.
2. Configure IAM binding for authentication.
D. 1. Deploy your code to Cloud Run functions. Create a Cloud Storage trigger.
2. Create a service account key for authentication
문제 #2
You are a lead developer working on a new retail system that runs on Cloud Run and Firestore in Datastore mode. A web UI requirement is for the system to display a list of available products when users access the system and for the user to be able to browse through all products. You have implemented this requirement in the minimum viable product (MVP) phase by returning a list of all available products stored in Firestore.
A few months after go-live, you notice that Cloud Run instances are terminated with HTTP 500:
Container instances are exceeding memory limits errors during busy times. This error coincides with spikes in the number of Datastore entity reads. You need to prevent Cloud Run from crashing and decrease the number of Datastore entity reads. You want to use a solution that optimizes system performance. What should you do?
A. Modify the query that returns the product list using integer offsets.
B. Modify the Cloud Run configuration to increase the memory limits.
C. Modify the query that returns the product list using cursors.
D. Modify the query that returns the product list using limits.
문제 #3
You work for an organization that manages an ecommerce site. Your application is deployed behind a global HTTP(S) load balancer. You need to test a new product recommendation algorithm. You plan to use A/B testing to determine the new algorithm's effect on sales in a randomized way. How should you test this feature?
A. Enable the new recommendation feature flag on a single instance.
B. Use HTTP header-based routing.
C. Mirror traffic to the new version of your application.
D. Split traffic between versions using weights.
문제 #4
Your application team is developing an ecommerce application. Your team has developed a new functionality that has a dependency on a third-party service. This third-party service will be deployed in a few days. However, you have been unable to ensure the reliability of this service.
You need to choose a deployment strategy for the ecommerce application that will avoid disruption and can be rolled back quickly if issues are discovered. What should you do?
A. Gradually roll out the new functionality by using a rolling updates deployment strategy. Start with a small subset of users and increase the number of users over time.
B. Use a feature flag to enable the new functionality to users on demand. Gradually enable the new functionality to more users.
C. Deploy the new functionality by using an A/B deployment strategy.
D. Deploy the new functionality to all users by using a blue/green deployment strategy.
문제 #5
You are a cluster administrator for Google Kubernetes Engine (GKE). Your organization's clusters are enrolled in a release channel. You need to be informed of relevant events that affect your GKE clusters, such as available upgrades and security bulletins. What should you do?
A. Execute a scheduled query against the google_cloud_release_notes BigQuery dataset.
B. Query the GKE API for available versions.
C. Configure cluster notifications to be sent to a Pub/Sub topic.
D. Create an RSS subscription to receive a daily summary of the GKE release notes.
질문과 대답:
| 문제 #1 정답: B | 문제 #2 정답: C | 문제 #3 정답: D | 문제 #4 정답: B | 문제 #5 정답: C |














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