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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Building and testing applications23%- Setting up development environments
  • 1. Emulating Google Cloud services locally
  • 2. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations
- Testing applications
  • 1. Automating testing in CI/CD workflows
  • 2. Writing unit, integration, and end-to-end tests
  • 3. Using AI-assisted development tools
- Building applications and containers
  • 1. Implementing containerization best practices
  • 2. Configuring build pipelines and provenance
  • 3. Using Cloud Build and Artifact Registry
Topic 2: Integrating applications with Google Cloud services21%- Consuming Google Cloud APIs and services
  • 1. Enabling and managing APIs
  • 2. Integrating with AI/ML and generative AI services
  • 3. Using client libraries, REST, and gRPC
- Implementing application performance monitoring
  • 1. Using operations suite tools
  • 2. Instrumenting code for metrics and traces
- Integrating with data and storage services
  • 1. Using object storage and file storage solutions
  • 2. Working with relational, NoSQL, and in-memory databases
  • 3. Implementing messaging and event streaming
Topic 3: Configuring cloud-native applications for deployment24%- Deploying applications to Cloud Run
  • 1. Deploying from source code or containers
  • 2. Integrating with event-driven services
  • 3. Configuring scaling, networking, and security
- 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
Topic 4: Designing highly scalable, secure, and reliable cloud-native applications32%- Designing secure applications
  • 1. Applying security best practices and compliance requirements
  • 2. Implementing authentication and authorization mechanisms
  • 3. Securing data in transit and at rest
- Designing high-performing applications and APIs
  • 1. Designing for high availability and fault tolerance
  • 2. Optimizing for latency and throughput
  • 3. Selecting appropriate compute and deployment platforms
- Designing for observability and monitoring
  • 1. Designing for debugging and troubleshooting
  • 2. Planning logging, metrics, and tracing strategies

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Google Certified Professional - Cloud Developer Sample Questions (Q249-Q254):

NEW QUESTION # 249
Your team is developing a new application using a PostgreSQL database and Cloud Run. You are responsible for ensuring that all traffic is kept private on Google Cloud. You want to use managed services and follow Google-recommended best practices. What should you do?

Answer: B

Explanation:
Explanation
https://cloud.google.com/sql/docs/postgres/connect-run#private-ip


NEW QUESTION # 250
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: C

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 # 251
You are designing a schema for a table that will be moved from MySQL to Cloud Bigtable. The MySQL table is as follows:

How should you design a row key for Cloud Bigtable for this table?

Answer: C


NEW QUESTION # 252
You are deploying your application to a Compute Engine virtual machine instance with the Stackdriver Monitoring Agent installed. Your application is a unix process on the instance. You want to be alerted if the unix process has not run for at least 5 minutes. You are not able to change the application to generate metrics or logs.
Which alert condition should you configure?

Answer: C


NEW QUESTION # 253
You work for an environmental agency in a large city. You are developing a new monitoring platform that will capture air quality readings from thousands of locations in the city. You want the air quality reading devices to send and receive their data payload to the newly created RESTful backend systems every minute by using a curl command. The backend systems are running in a single cloud region and are using Premium Tier networking. You need to connect the devices to the backend while minimizing the daily average latency, measured by using Time to First Byte (TTFB). How should you build this service?

Answer: A

Explanation:
https://web.dev/articles/optimize-ttfb


NEW QUESTION # 254
......

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