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To obtain the Google Professional-Cloud-Developer Certification, applicants are required to pass a rigorous exam that covers a broad range of topics, including Google Cloud Platform architecture, application development, storage, security, and deployment. Professional-Cloud-Developer exam is composed of multiple-choice questions and simulations, and it is designed to test the practical knowledge and experience of the developer. Passing the exam requires a comprehensive understanding of Google Cloud technologies and the ability to apply this knowledge to real-world scenarios. Successful candidates receive a Google Certified Professional - Cloud Developer certification, which is recognized globally as a symbol of expertise and proficiency in cloud development.
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As businesses worldwide continue to adopt cloud computing, the demand for experts who can develop cloud-based applications using various cloud services is experiencing an upward trend. It is in recognition of this need that Google Cloud offers the Professional-Cloud-Developer Exam - also known as Google Certified Professional - Cloud Developer.
NEW QUESTION # 335
You are planning to deploy hundreds of microservices in your Google Kubernetes Engine (GKE) cluster. How should you secure communication between the microservices on GKE using a managed service?
Answer: A
Explanation:
Explanation
https://cloud.google.com/service-mesh/docs/overview#security_benefits
- Ensures encryption in transit. Using mTLS for authentication also ensures that all TCP communications are encrypted in transit.
NEW QUESTION # 336
You are compiling a compliance report on vulnerability metadata for a specific set of images identified by Artifact Analysis. Metadata from images scanned more than 30 days ago are missing from the compliance report. You need to access the vulnerability metadata for these older images. What should you do?
Answer: C
Explanation:
Artifact Analysis in Google Cloud automatically scans images in Artifact Registry and generates vulnerability metadata. However, to access updated vulnerability metadata for images scanned over 30 days ago, you need to re-trigger the scan. By pushing or pulling the images from Artifact Registry, you effectively re-trigger Artifact Analysis, which generates fresh vulnerability metadata.
This ensures your compliance report has up-to-date information for those images.
The other options do not re-trigger scanning, and vulnerability metadata is not stored in Cloud Storage or Cloud Trace logs.
NEW QUESTION # 337
You support an application that uses the Cloud Storage API. You review the logs and discover multiple HTTP 503 Service Unavailable error responses from the API. Your application logs the error and does not take any further action. You want to implement Google-recommended retry logic to improve success rates.
Which approach should you take?
Answer: A
Explanation:
https://cloud.google.com/storage/docs/retry-strategy
NEW QUESTION # 338
Your company has a BigQuery data mart that provides analytics information to hundreds of employees. One user of wants to run jobs without interrupting important workloads. This user isn't concerned about the time it takes to run these jobs. You want to fulfill this request while minimizing cost to the company and the effort required on your part.
What should you do?
Answer: D
NEW QUESTION # 339
Your company's development teams want to use various open source operating systems in their Docker builds.
When images are created in published containers in your company's environment, you need to scan them for Common Vulnerabilities and Exposures (CVEs). The scanning process must not impact software development agility. You want to use managed services where possible. What should you do?
Answer: B
Explanation:
Explanation
https://cloud.google.com/container-analysis/docs/os-overview
NEW QUESTION # 340
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