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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Building and testing applications	23%	- 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. Using AI-assisted development tools 3. Writing unit, integration, and end-to-end tests - Building applications and containers 1. Configuring build pipelines and provenance 2. Using Cloud Build and Artifact Registry 3. Implementing containerization best practices
Configuring cloud-native applications for deployment	24%	- Deploying to App Engine or Cloud Functions 1. Managing versions and traffic splitting 2. Configuring serverless deployments - Deploying applications to Google Kubernetes Engine 1. Configuring scaling, auto-scaling, and updates 2. Managing configurations and secrets 3. Creating and managing workloads and services - Deploying applications to Cloud Run 1. Integrating with event-driven services 2. Configuring scaling, networking, and security 3. Deploying from source code or containers
Integrating applications with Google Cloud services	21%	- Consuming Google Cloud APIs and services 1. Using client libraries, REST, and gRPC 2. Enabling and managing APIs 3. Integrating with AI/ML and generative AI services - Implementing application performance monitoring 1. Instrumenting code for metrics and traces 2. Using operations suite tools - Integrating with data and storage services 1. Using object storage and file storage solutions 2. Implementing messaging and event streaming 3. Working with relational, NoSQL, and in-memory databases
Designing highly scalable, secure, and reliable cloud-native applications	32%	- Designing high-performing applications and APIs 1. Optimizing for latency and throughput 2. Selecting appropriate compute and deployment platforms 3. Designing for high availability and fault tolerance - 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

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Google Certified Professional - Cloud Developer Sample Questions (Q383-Q388):

NEW QUESTION # 383
You are developing an application that reads credit card data from a Pub/Sub subscription. You have written code and completed unit testing. You need to test the Pub/Sub integration before deploying to Google Cloud. What should you do?

A. Create a service to publish messages to your application. Collect the messages from Pub/Sub in production, and replay them through the publishing service.
B. Create a service to publish messages, and deploy the Pub/Sub emulator. Collect the messages from Pub/Sub in production, and publish them to the emulator.
C. Create a service to publish messages, and deploy the Pub/Sub emulator. Generate random content in the publishing service, and publish to the emulator.
D. Create a service to publish messages, and deploy the Pub/Sub emulator. Publish a standard set of testing messages from the publishing service to the emulator.

Answer: D

Explanation:
https://cloud.google.com/pubsub/docs/emulator

NEW QUESTION # 384
There are three teams developing an ecommerce application in the same Google Cloud project.
Team A will build a set of RESTful APIs that exposes some core functionalities for the application.
Team B and Team C will make requests to those APIs in their downstream processes running on Cloud Run services. You need to propose a solution for exposing the APIs in a way that maximizes security and minimizes management overhead for the three teams. How should you design this solution?

A. 1. Team A uses service accounts to authorize Cloud API Gateway. Team B and Team C each create a service account that has access to the APIs.
2. Team B and Team C access the APIs in the Cloud Run service running their processes by using the service accounts attached to their service.
B. 1. Team A uses an API key to authorize Cloud API Gateway and shares the key with Team B and Team C.
2. Team B and Team C store the API key in a secret in Secret Manager, and use this API key to access the API endpoint.
C. 1. Team A uses service accounts to authorize Cloud API Gateway. Team B and Team C each create a service account, export their service account's key, and store each key in a separate secret in Secret Manager.
2. Team B and Team C use this service account key to create an OAuth token to access the APIs.
D. 1. Team A uses Apigee hybrid to create an API key and shares that key with Team B and Team
2. Team B and Team C store the API key in a secret in Secret Manager, and use this API key to access the API endpoint.

Answer: A

Explanation:
This solution maximizes security by using service accounts for authentication and authorization, avoiding the need to manage and distribute API keys or secrets, which can be insecure and cumbersome. By configuring Cloud API Gateway to use service accounts, you ensure that only authorized services can access the APIs securely. Attaching the service accounts directly to Team B and Team C's Cloud Run services enables seamless and secure access without requiring manual handling of credentials.
Using service accounts also aligns with Google Cloud's best practices for identity and access management, minimizing management overhead while providing a scalable and secure way to control access across teams and services.

NEW QUESTION # 385
You made a typo in a low-level Linux configuration file that prevents your Compute Engine instance from booting to a normal run level. You just created the Compute Engine instance today and have done no other maintenance on it, other than tweaking files. How should you correct this error?

A. Configure and log in to the Compute Engine instance through SSH, and change the file
B. Configure and log in to the Compute Engine instance through the serial port, and change the file
C. Download the file using scp, change the file, and then upload the modified version
D. Configure and log in to the Compute Engine instance using a remote desktop client, and change the file

Answer: B

Explanation:
https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-using-serial-console

NEW QUESTION # 386
Your company's corporate policy states that there must be a copyright comment at the very beginning of all source files. You want to write a custom step in Cloud Build that is triggered by each source commit. You need the trigger to validate that the source contains a copyright and add one for subsequent steps if not there.
What should you do?

A. Build a new Docker container that examines the files in a Cloud Storage bucket and then checks and adds a copyright for each source file. Changed files are written back to the Cloud Storage bucket.
B. Build a new Docker container that examines the files in /workspace and then checks and adds a copyright for each source file. Changed files are explicitly committed back to the source repository.
C. Build a new Docker container that examines the files in a Cloud Storage bucket and then checks and adds a copyright for each source file. Changed files are explicitly committed back to the source repository.
D. Build a new Docker container that examines the files in /workspace and then checks and adds a copyright for each source file. Changed files do not need to be committed back to the source repository.

Answer: B

Explanation:
Explanation
https://cloud.google.com/build/docs/configuring-builds/pass-data-between-steps#passing_data_using_workspace To pass data between build steps, store the assets produced by the build step in /workspace and these assets will be available to any subsequent build steps.

NEW QUESTION # 387
Your teammate has asked you to review the code below, which is adding a credit to an account balance in Cloud Datastore. Which improvement should you suggest your teammate make?

A. Use a strongly consistent transactional database.
B. Get the entity with an ancestor query.
C. Don't return the account entity from the function.
D. Get and put the entity in a transaction.

Answer: B

NEW QUESTION # 388
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