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How to book Google Professional Cloud Developer Exams

The registration for the Google Professional Cloud Developer Exam follows the steps given below.

  • Step 1: Visit the Google Cloud Webassessor Website
  • Step 2: Sign in or sign up to your Google Cloud Webassessor account
  • Step 3: Search for the exam name Google Professional Cloud Developer
  • Step 4: Take the date of the exam, choose exam center and make further payment using payment method like credit/debit etc.

Many people want to be the competent people which can excel in the job in some area and be skillful in applying the knowledge to the practical working in some industry. But the thing is not so easy for them they need many efforts to achieve their goals. Passing the test Google certification can make them become that kind of people and if you are one of them buying our study materials will help you pass the test smoothly with few efforts needed. Our Professional-Cloud-Developer exam questions: Google Certified Professional - Cloud Developer are valuable and useful and if you buy our product will provide first-rate service to you to make you satisfied. We provide not only the free download and try out of the Professional-Cloud-Developer study guide but also the immediate refund if you fail in the test. To see whether our study materials are worthy to buy you can have a look at the introduction of our product as follow.

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Aside from the mentioned training options, Google also provides a series of programs that will allow you to demonstrate competence in the following areas:

  • Serverless Firebase Development
  • Building and Managing APIs with Apigee
  • Deploying to Kubernetes in Google Cloud
  • Serverless Cloud Run Development

Through all the above-mentioned courses, exam-takers will obtain fundamental information relating to Cloud Shell, Cloud IAM, Container Registry, Spring Boot, App Engine, Firebase SDK, and many other tools and products. It should be mentioned that these courses have a total of 64 labs that will be helpful in validating your skills to manage the Google cloud environment in real-world scenarios.

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Introduction to Google Professional Cloud Developer Exam

Google Professional Cloud Developer Exam is a certification exam that is conducted by Google to validates candidate knowledge and skills of working as a Professional Cloud Architect in the IT industry.

After passing this exam, candidates get a certificate from Google that helps them to demonstrate their proficiency in Google Professional Cloud Developer to their clients and employers.

Incorporating Google Cloud Services

  • Integrate Applications with Compute Services: This part contains the measurement of the skills in implementing the service discovery in Compute Engine and GKE, authenticating utilizing Identity-Aware Proxy & OAuth2.0 Web Flow, and authenticating with Workload Identity to Cloud APIs.
  • Integrate Cloud APIs with Apps: This domain comes with caching results, restricting return data, batching requests, paginating results, and error handling.
  • Incorporate Applications with Data & Storage Services: The considerations for this subsection include connecting to data stores, write/read data from/to different databases and write applications that consume/publish data asynchronously.

Reference: https://cloud.google.com/certification/cloud-developer

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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionWeightObjectives
Designing highly scalable, secure, and reliable cloud-native applications32%- 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 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
Configuring cloud-native applications for deployment24%- Deploying applications to Google Kubernetes Engine
  • 1. Configuring scaling, auto-scaling, and updates
  • 2. Creating and managing workloads and services
  • 3. Managing configurations and secrets
- 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 to App Engine or Cloud Functions
  • 1. Managing versions and traffic splitting
  • 2. Configuring serverless deployments
Integrating applications with Google Cloud services21%- 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
- Implementing application performance monitoring
  • 1. Instrumenting code for metrics and traces
  • 2. Using operations suite tools
- 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%- Testing applications
  • 1. Writing unit, integration, and end-to-end tests
  • 2. Using AI-assisted development tools
  • 3. Automating testing in CI/CD workflows
- 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. Implementing containerization best practices
  • 2. Configuring build pipelines and provenance
  • 3. Using Cloud Build and Artifact Registry

Google Certified Professional - Cloud Developer Sample Questions:

You are developing an application hosted on Google Cloud that uses a MySQL relational database schema. The application will have a large volume of reads and writes to the database and will require backups and ongoing capacity planning. Your team does not have time to fully manage the database but can take on small administrative tasks. How should you host the database?

  • A. Configure Cloud Spanner to host the database, and import the schema into Cloud Spanner.
  • B. Configure Firestore to host the database, and import the data into Firestore.
  • C. Configure Bigtable to host the database, and import the data into Bigtable.
  • D. Configure Cloud SQL to host the database, and import the schema into Cloud SQL.
  • E. Deploy MySQL from the Google Cloud Marketplace to the database using a client, and import the schema.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for ITPassLeader members. You can sign-up / login (it's free).

Your development team has been asked to refactor an existing monolithic application into a set of composable microservices. Which design aspects should you implement for the new application?
(Choose two.)

  • A. Develop the microservice code in the same programming language used by the microservice caller.
  • B. Create an API contract agreement between the microservice implementation and microservice caller.
  • C. Ensure that sufficient instances of the microservice are running to accommodate the performance requirements.
  • D. Require asynchronous communications between all microservice implementations and microservice callers.
  • E. Implement a versioning scheme to permit future changes that could be incompatible with the current interface.
Reveal Solution  Discussion  0

Correct Answer: B,E  🗳️

Explanation: Only visible for ITPassLeader members. You can sign-up / login (it's free).

This architectural diagram depicts a system that streams data from thousands of devices. You want to ingest data into a pipeline, store the data, and analyze the data using SQL statements.
Which Google Cloud services should you use for steps 1, 2, 3, and 4?

  • A. 1. Pub/Sub
    2. Dataflow
    3. BigQuery
    4. Firestore
  • B. 1. Pub/Sub
    2. Dataflow
    3. Firestore
    4. BigQuery
  • C. 1. App Engine
    2. Pub/Sub
    3. BigQuery
    4. Firestore
  • D. 1. Dataflow
    2. Pub/Sub
    3. Firestore
    4. BigQuery
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

You are developing an event-driven application. You have created a topic to receive messages sent to Pub/Sub. You want those messages to be processed in real time. You need the application to be independent from any other system and only incur costs when new messages arrive. How should you configure the architecture?

  • A. Deploy the application on Google Kubernetes Engine. Use the Pub/Sub API to create a pull subscription to the Pub/Sub topic and read messages from it.
  • B. Deploy your code on Cloud Functions. Use a Pub/Sub trigger to invoke the Cloud Function. Use the Pub/Sub API to create a pull subscription to the Pub/Sub topic and read messages from it.
  • C. Deploy your code on Cloud Functions. Use a Pub/Sub trigger to handle new messages in the topic.
  • D. Deploy the application on Compute Engine. Use a Pub/Sub push subscription to process new messages in the topic.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for ITPassLeader members. You can sign-up / login (it's free).

You are capturing important audit activity in Stackdriver Logging. You need to read the information from Stackdriver Logging to perform real-time analysis of the logs. You will have multiple processes performing different types of analysis on the logging data. What should you do?

  • A. Set up a Stackdriver Logging sync to Cloud Pub/Sub, and read the logs from a Cloud Pub/Sub topic.
  • B. Set up a Stackdriver Logging sync to BigQuery, and read the logs from the BigQuery table.
  • C. Set up a Stackdriver Logging sync to Cloud Storage, and read the logs from a Cloud Storage bucket.
  • D. Read the logs directly from the Stackdriver Logging API.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for ITPassLeader members. You can sign-up / login (it's free).

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