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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Building and testing applications	23%	- Testing applications 1. Automating testing in CI/CD workflows 2. Writing unit, integration, and end-to-end tests 3. Using AI-assisted development tools - Setting up development environments 1. Emulating Google Cloud services locally 2. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations - Building applications and containers 1. Configuring build pipelines and provenance 2. Using Cloud Build and Artifact Registry 3. Implementing containerization best practices
Topic 2: 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. Creating and managing workloads and services 2. Managing configurations and secrets 3. Configuring scaling, auto-scaling, and updates - Deploying applications to Cloud Run 1. Configuring scaling, networking, and security 2. Deploying from source code or containers 3. Integrating with event-driven services
Topic 3: Integrating applications with Google Cloud services	21%	- 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. Working with relational, NoSQL, and in-memory databases 3. Implementing messaging and event streaming - 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
Topic 4: Designing highly scalable, secure, and reliable cloud-native applications	32%	- Designing secure applications 1. Implementing authentication and authorization mechanisms 2. Applying security best practices and compliance requirements 3. Securing data in transit and at rest - Designing high-performing applications and APIs 1. Optimizing for latency and throughput 2. Designing for high availability and fault tolerance 3. Selecting appropriate compute and deployment platforms - Designing for observability and monitoring 1. Planning logging, metrics, and tracing strategies 2. Designing for debugging and troubleshooting

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Google Certified Professional - Cloud Developer Sample Questions (Q277-Q282):

NEW QUESTION # 277
You have recently instrumented a new application with OpenTelemetry, and you want to check the latency of your application requests in Trace. You want to ensure that a specific request is always traced. What should you do?

A. Add the X-Cloud-Trace-Context header to the request with the appropriate parameters.
B. Wait 10 minutes, then verify that Trace captures those types of requests automatically.
C. Write a custom script that sends this type of request repeatedly from your dev project.
D. Use the Trace API to apply custom attributes to the trace.

Answer: A

Explanation:
https://cloud.google.com/trace/docs/setup#force-trace
Cloud Trace doesn't sample every request. To force a specific request to be traced, add an X-Cloud-Trace-Context header to the request.

NEW QUESTION # 278
You plan to make a simple HTML application available on the internet. This site keeps information about FAQs for your application. The application is static and contains images, HTML, CSS, and Javascript. You want to make this application available on the internet with as few steps as possible.
What should you do?

A. Containerize your application first. Deploy this container to Google Kubernetes Engine (GKE) and assign an external IP address to the GKE pod hosting the application.
B. Upload your application to Cloud Storage.
C. Create a Compute Engine instance with Apache web server installed. Configure Apache web server to host the application.
D. Upload your application to an App Engine environment.

Answer: B

Explanation:
Reference: https://cloud.google.com/storage/docs/hosting-static-website

NEW QUESTION # 279
Your application stores customers' content in a Cloud Storage bucket, with each object being encrypted with the customer's encryption key. The key for each object in Cloud Storage is entered into your application by the customer. You discover that your application is receiving an HTTP 4xx error when reading the object from Cloud Storage. What is a possible cause of this error?

A. You attempted the read operation on the object with the customer's base64-encoded key.
B. You attempted the read operation on the object with the base64-encoded SHA256 hash of the customer's key.
C. You entered the same encryption algorithm specified by the customer when attempting the read operation.
D. You attempted the read operation without the base64-encoded SHA256 hash of the encryption key.

Answer: D

Explanation:
https://cloud.google.com/storage/docs/encryption/using-customer-supplied-keys#rest-csek- download-object

NEW QUESTION # 280
You are developing a corporate tool on Compute Engine for the finance department, which needs to authenticate users and verify that they are in the finance department. All company employees use G Suite.
What should you do?

A. Enable Cloud Identity-Aware Proxy on the HTTP(s) load balancer and restrict access to a Google Group containing users in the finance department. Verify the provided JSON Web Token within the application.
B. Enable Cloud Identity-Aware Proxy on the HTTP(s) load balancer and restrict access to a Google Group containing users in the finance department. Issue client-side certificates to everybody in the finance team and verify the certificates in the application.
C. Configure Cloud Armor Security Policies to restrict access to only corporate IP address ranges. Verify the provided JSON Web Token within the application.
D. Configure Cloud Armor Security Policies to restrict access to only corporate IP address ranges. Issue client side certificates to everybody in the finance team and verify the certificates in the application.

Answer: C

NEW QUESTION # 281
You are developing a web application that contains private images and videos stored in a Cloud Storage bucket. Your users are anonymous and do not have Google Accounts. You want to use your application-specific logic to control access to the images and videos. How should you configure access?

A. Generate a signed URL that grants read access to the bucket. Allow users to access the URL after authenticating through your web application.
B. Cache each web application user's IP address to create a named IP table using Google Cloud Armor. Create a Google Cloud Armor security policy that allows users to access the backend bucket.
C. Configure Identity-Aware Proxy (IAP) to authenticate users into the web application. Allow users to access the bucket after authenticating through IAP.
D. Grant the Storage Object Viewer IAM role to allUsers. Allow users to access the bucket after authenticating through your web application.

Answer: A

Explanation:
https://cloud.google.com/storage/docs/access-control/signed-urls#should-you-use In some scenarios, you might not want to require your users to have a Google account in order to access Cloud Storage, but you still want to control access using your application-specific logic. The typical way to address this use case is to provide a signed URL to a user, which gives the user read, write, or delete access to that resource for a limited time. You specify an expiration time when you create the signed URL. Anyone who knows the URL can access the resource until the expiration time for the URL is reached or the key used to sign the URL is rotated.

NEW QUESTION # 282
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