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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionWeightObjectives
Integrating applications with Google Cloud services21%- Implementing application performance monitoring
  • 1. Instrumenting code for metrics and traces
  • 2. Using operations suite tools
- Integrating with data and storage services
  • 1. Working with relational, NoSQL, and in-memory databases
  • 2. Using object storage and file storage solutions
  • 3. Implementing messaging and event streaming
- Consuming Google Cloud APIs and services
  • 1. Using client libraries, REST, and gRPC
  • 2. Integrating with AI/ML and generative AI services
  • 3. Enabling and managing APIs
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 for observability and monitoring
  • 1. Planning logging, metrics, and tracing strategies
  • 2. Designing for debugging and troubleshooting
- Designing secure applications
  • 1. Securing data in transit and at rest
  • 2. Applying security best practices and compliance requirements
  • 3. Implementing authentication and authorization mechanisms
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. Using Cloud Build and Artifact Registry
  • 2. Configuring build pipelines and provenance
  • 3. Implementing containerization best practices
- Testing applications
  • 1. Using AI-assisted development tools
  • 2. Writing unit, integration, and end-to-end tests
  • 3. Automating testing in CI/CD workflows
Configuring cloud-native applications for deployment24%- Deploying applications to Google Kubernetes Engine
  • 1. Managing configurations and secrets
  • 2. Creating and managing workloads and services
  • 3. Configuring scaling, auto-scaling, and updates
- 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. Deploying from source code or containers
  • 3. Configuring scaling, networking, and security

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Google Certified Professional - Cloud Developer Sample Questions (Q144-Q149):

NEW QUESTION # 144
You need to deploy a new European version of a website hosted on Google Kubernetes Engine. The current and new websites must be accessed via the same HTTP(S) load balancer's external IP address, but have different domain names. What should you do?

Answer: A

Explanation:
Explanation
https://kubernetes.io/docs/concepts/services-networking/ingress/#name-based-virtual-hosting Name-based virtual hosts support routing HTTP traffic to multiple host names at the same IP address.


NEW QUESTION # 145
Your application is deployed in a Google Kubernetes Engine (GKE) cluster. You want to expose this application publicly behind a Cloud Load Balancing HTTP(S) load balancer. What should you do?

Answer: D


NEW QUESTION # 146
Your application is deployed on hundreds of Compute Engine instances in a managed instance group (MIG) in multiple zones. You need to deploy a new instance template to fix a critical vulnerability immediately but must avoid impact to your service. What setting should be made to the MIG after updating the instance template?

Answer: B

Explanation:
https://cloud.google.com/compute/docs/instance-groups/rolling-out-updates-to-managed- instance-groups#minimum_wait_time


NEW QUESTION # 147
You are building an application that will store frequently accessed data in a Memorystore for Redis Cluster instance. You would like to make the application resilient to network issues. You need to ensure that the application handles client disconnections from a Redis instance gracefully to minimize disruption and ensure stability of the application. What should you do?

Answer: B

Explanation:
Implementing exponential backoff with jitter when reconnecting reduces connection storms and gracefully handles transient network issues. Client-side caching ensures the application remains stable and responsive during brief Redis outages.


NEW QUESTION # 148
Your company is planning a global event. You need to configure an event registration portal for the event. You have decided to deploy the registration service by using Cloud Run. Your company's marketing team does not want to advertise the Cloud Run service URL. They want the registration portal to be accessed by using a personalized hostname or path in your custom domain URL pattern, for example, <service>.example.com. How should you configure access to the service while following Google-recommended practices?

Answer: B

Explanation:
Using a global external Application Load Balancer allows you to serve your Cloud Run service behind a custom domain with flexible routing and SSL support, following Google-recommended best practices for production workloads.


NEW QUESTION # 149
......

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