Latest Professional-Cloud-Developer Exam Questions & Professional-Cloud-Developer Exam Duration

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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionWeightObjectives
Designing highly scalable, secure, and reliable cloud-native applications32%- Designing high-performing applications and APIs
  • 1. Designing for high availability and fault tolerance
  • 2. Selecting appropriate compute and deployment platforms
  • 3. Optimizing for latency and throughput
- Designing secure applications
  • 1. Implementing authentication and authorization mechanisms
  • 2. Securing data in transit and at rest
  • 3. Applying security best practices and compliance requirements
- Designing for observability and monitoring
  • 1. Planning logging, metrics, and tracing strategies
  • 2. Designing for debugging and troubleshooting
Configuring cloud-native applications for deployment24%- Deploying to App Engine or Cloud Functions
  • 1. Managing versions and traffic splitting
  • 2. Configuring serverless deployments
- Deploying applications to Cloud Run
  • 1. Integrating with event-driven services
  • 2. Configuring scaling, networking, and security
  • 3. Deploying from source code or containers
- Deploying applications to Google Kubernetes Engine
  • 1. Creating and managing workloads and services
  • 2. Managing configurations and secrets
  • 3. Configuring scaling, auto-scaling, and updates
Integrating applications with Google Cloud services21%- Implementing application performance monitoring
  • 1. Using operations suite tools
  • 2. Instrumenting code for metrics and traces
- Integrating with data and storage services
  • 1. Implementing messaging and event streaming
  • 2. Using object storage and file storage solutions
  • 3. Working with relational, NoSQL, and in-memory databases
- Consuming Google Cloud APIs and services
  • 1. Integrating with AI/ML and generative AI services
  • 2. Using client libraries, REST, and gRPC
  • 3. Enabling and managing APIs
Building and testing applications23%- Setting up development environments
  • 1. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations
  • 2. Emulating Google Cloud services locally
- Building applications and containers
  • 1. Configuring build pipelines and provenance
  • 2. Implementing containerization best practices
  • 3. Using Cloud Build and Artifact Registry
- Testing applications
  • 1. Writing unit, integration, and end-to-end tests
  • 2. Automating testing in CI/CD workflows
  • 3. Using AI-assisted development tools

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Google Certified Professional - Cloud Developer Sample Questions (Q106-Q111):

NEW QUESTION # 106
Your service adds text to images that it reads from Cloud Storage. During busy times of the year, requests to Cloud Storage fail with an HTTP 429 "Too Many Requests" status code.
How should you handle this error?

Answer: C

Explanation:
Explanation/Reference: https://developers.google.com/gmail/api/v1/reference/quota


NEW QUESTION # 107
The new version of your containerized application has been tested and is ready to deploy to production on Google Kubernetes Engine. You were not able to fully load-test the new version in pre-production environments, and you need to make sure that it does not have performance problems once deployed. Your deployment must be automated. What should you do?

Answer: B

Explanation:
Explanation
https://cloud.google.com/architecture/implementing-deployment-and-testing-strategies-on-gke#perform_a_blueg


NEW QUESTION # 108
You are developing an external-facing application on GKE that provides a streaming API to users.
You want to offer two subscription tiers, "basic" and "premium", to users based on the number of API requests that each client application is allowed to make each day. You want to design the application architecture to provide subscription tiers to users while following Google- recommended practices. What should you do?

Answer: C

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/gke-editions


NEW QUESTION # 109
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?

Answer: C


NEW QUESTION # 110
You are a developer at a large organization Your team uses Git for source code management (SCM). You want to ensure that your team follows Google-recommended best practices to manage code to drive higher rates of software delivery. Which SCM process should your team use?

Answer: A

Explanation:
Use a centralized repository. A centralized repository is a single location where all of your team's code is stored. This makes it easy for everyone to access the latest code, and it also helps to prevent conflicts. Use branches. Branches are a way to create a separate version of the code for development purposes. This allows developers to work on new features or bug fixes without affecting the main branch of the code.


NEW QUESTION # 111
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