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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Integrating applications with Google Cloud services	21%	- 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 - Implementing application performance monitoring 1. Using operations suite tools 2. Instrumenting code for metrics and traces - 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
Topic 2: Designing highly scalable, secure, and reliable cloud-native applications	32%	- Designing for observability and monitoring 1. Designing for debugging and troubleshooting 2. Planning logging, metrics, and tracing strategies - 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 secure applications 1. Securing data in transit and at rest 2. Implementing authentication and authorization mechanisms 3. Applying security best practices and compliance requirements
Topic 3: Configuring cloud-native applications for deployment	24%	- Deploying applications to Google Kubernetes Engine 1. Managing configurations and secrets 2. Configuring scaling, auto-scaling, and updates 3. Creating and managing workloads and services - Deploying applications to Cloud Run 1. Integrating with event-driven services 2. Deploying from source code or containers 3. Configuring scaling, networking, and security - Deploying to App Engine or Cloud Functions 1. Configuring serverless deployments 2. Managing versions and traffic splitting
Topic 4: 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 - Building applications and containers 1. Implementing containerization best practices 2. Configuring build pipelines and provenance 3. Using Cloud Build and Artifact Registry - Setting up development environments 1. Emulating Google Cloud services locally 2. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations

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Google Certified Professional - Cloud Developer Sample Questions (Q347-Q352):

NEW QUESTION # 347
You need to configure a Deployment on Google Kubernetes Engine (GKE). You want to include a check that verifies that the containers can connect to the database. If the Pod is failing to connect, you want a script on the container to run to complete a graceful shutdown. How should you configure the Deployment?

A. Create the Deployment with an initContainer that checks the service availability. Configure a Prestop lifecycle handler that runs the shutdown script if the Pod is failing.
B. Create the Deployment with a PostStart lifecycle handler that checks the service availability. Configure a PreStop lifecycle handler that runs the shutdown script if the container is failing.
C. Create two jobs: one that checks whether the container can connect to the database, and another that runs the shutdown script if the Pod is failing.
D. Create the Deployment with a livenessProbe for the container that will fail if the container can't connect to the database. Configure a Prestop lifecycle handler that runs the shutdown script if the container is failing.

Answer: D

Explanation:
Explanation
https://cloud.google.com/architecture/best-practices-for-running-cost-effective-kubernetes-applications-on-gke#m

NEW QUESTION # 348
You are using Cloud Build for your CI/CD pipeline to complete several tasks, including copying certain files to Compute Engine virtual machines. Your pipeline requires a flat file that is generated in one builder in the pipeline to be accessible by subsequent builders in the same pipeline. How should you store the file so that all the builders in the pipeline can access it?

A. Add a build argument that runs an HTTP POST via curl to a separate web server to persist the value in one builder. Use an HTTP GET via curl from the subsequent build step to read the value.
B. Output the file contents to a file in /workspace. Read from the same /workspace file in the subsequent build step.
C. Store and retrieve the file contents using Compute Engine instance metadata.
D. Use gsutil to output the file contents to a Cloud Storage object. Read from the same object in the subsequent build step.

Answer: B

Explanation:
https://cloud.google.com/build/docs/build-config-file-schema

NEW QUESTION # 349
You have containerized a legacy application that stores its configuration on an NFS share. You need to deploy this application to Google Kubernetes Engine (GKE) and do not want the application serving traffic until after the configuration has been retrieved. What should you do?

A. Use the COPY statement in the Dockerfile to load the configuration into the container image. Verify that the configuration is available, and start the service using an ENTRYPOINT script.
B. Create a PersistentVolumeClaim on the GKE cluster. Access the configuration files from the volume, and start the service using an ENTRYPOINT script.
C. Add a startup script to the GKE instance group to mount the NFS share at node startup. Copy the configuration files into the container, and start the service using an ENTRYPOINT script.
D. Use the gsutil utility to copy files from within the Docker container at startup, and start the service using an ENTRYPOINT script.

Answer: C

Explanation:
Reference: https://cloud.google.com/compute/docs/instances/startup-scripts/linux

NEW QUESTION # 350
You have a web application that publishes messages to Pub/Sub. You plan to build new versions of the application locally and need to quickly test Pub/Sub integration tor each new build. How should you configure local testing?

A. Install Cloud Code on the integrated development environment (IDE) Navigate to Cloud APIs, and enable Pub/Sub against a valid Google Project ID. When developing locally, configure your application to call pubsub.googleapis com
B. In the Google Cloud console, navigate to the API Library and enable the Pub/Sub API When developing locally, configure your application to call pubsub.googleapis com
C. Run the gclcud config set api_endpoint_overrides/pubsub https: / 'pubsubemulator.googleapi3.com. coin/ command to change the Pub/Sub endpoint prior to starting the application
D. Install the Pub/Sub emulator using gcloud and start the emulator with a valid Google Project ID. When developing locally, configure your application to use the local emulator by exporting the fuhsub emulator Host variable

Answer: A

NEW QUESTION # 351
Which service should HipLocal use to enable access to internal apps?

A. Cloud Armor
B. Cloud Identity-Aware Proxy
C. Virtual Private Cloud
D. Cloud VPN

Answer: B

Explanation:
Reference: https://cloud.google.com/iap/docs/cloud-iap-for-on-prem-apps-overview

NEW QUESTION # 352
......

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