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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Building and testing applications	23%	- Building applications and containers 1. Using Cloud Build and Artifact Registry 2. Configuring build pipelines and provenance 3. Implementing containerization best practices - Setting up development environments 1. Emulating Google Cloud services locally 2. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations - Testing applications 1. Writing unit, integration, and end-to-end tests 2. Using AI-assisted development tools 3. Automating testing in CI/CD workflows
Topic 2: Designing highly scalable, secure, and reliable cloud-native applications	32%	- 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. Selecting appropriate compute and deployment platforms 2. Optimizing for latency and throughput 3. Designing for high availability and fault tolerance - Designing for observability and monitoring 1. Designing for debugging and troubleshooting 2. Planning logging, metrics, and tracing strategies
Topic 3: Integrating applications with Google Cloud services	21%	- 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 - 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. Using operations suite tools 2. Instrumenting code for metrics and traces
Topic 4: Configuring cloud-native applications for deployment	24%	- 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 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 to App Engine or Cloud Functions 1. Managing versions and traffic splitting 2. Configuring serverless deployments

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Google Certified Professional - Cloud Developer Sample Questions (Q216-Q221):

NEW QUESTION # 216
You are developing an internal application that will allow employees to organize community events within your company. You deployed your application on a single Compute Engine instance. Your company uses Google Workspace (formerly G Suite), and you need to ensure that the company employees can authenticate to the application from anywhere. What should you do?

A. Add an HTTP(S) load balancer in front of the instance, and set up Identity-Aware Proxy (IAP).
Configure the IAP settings to allow your company domain to access the website.
B. Add a public IP address to your instance, and restrict access to the instance using firewall rules.
Allow your company's proxy as the only source IP address.
C. Add a public IP address to your instance, and allow traffic from the internet. Generate a random hash, and create a subdomain that includes this hash and points to your instance. Distribute this DNS address to your company's employees.
D. Set up a VPN tunnel between your company network and your instance's VPC location on Google Cloud. Configure the required firewall rules and routing information to both the on-premises and Google Cloud networks.

Answer: A

Explanation:
https://cloud.google.com/iap/docs/concepts-overview#how_iap_works
When an application or resource is protected by IAP, it can only be accessed through the proxy by principals, also known as users, who have the correct Identity and Access Management (IAM) role. When you grant a user access to an application or resource by IAP, they're subject to the fine-grained access controls implemented by the product in use without requiring a VPN. When a user tries to access an IAP-secured resource, IAP performs authentication and authorization checks.

NEW QUESTION # 217
You are building a new API. You want to minimize the cost of storing and reduce the latency of serving images.
Which architecture should you use?

A. Cloud Content Delivery Network (CDN) backed by Cloud Storage
B. Compute Engine backed by Persistent Disk
C. Transfer Appliance backed by Cloud Filestore
D. App Engine backed by Cloud Storage

Answer: B

NEW QUESTION # 218
Your application is deployed in a Google Kubernetes Engine (GKE) cluster. When a new version of your application is released, your CI/CD tool updates the spec.template.spec.containers[0].image value to reference the Docker image of your new application version. When the Deployment object applies the change, you want to deploy at least 1 replica of the new version and maintain the previous replicas until the new replica is healthy.
Which change should you make to the GKE Deployment object shown below?

A. Set the Deployment strategy to Recreate with maxSurge set to 1, maxUnavailable set to 0.
B. Set the Deployment strategy to Recreate with maxSurge set to 0, maxUnavailable set to 1.
C. Set the Deployment strategy to RollingUpdate with maxSurge set to 0, maxUnavailable set to 1.
D. Set the Deployment strategy to RollingUpdate with maxSurge set to 1, maxUnavailable set to 0.

Answer: A

NEW QUESTION # 219
Your data is stored in Cloud Storage buckets. Fellow developers have reported that data downloaded from Cloud Storage is resulting in slow API performance. You want to research the issue to provide details to the GCP support team.
Which command should you run?

A. gcloud services test -o output.json gs://my-bucket
B. gsutil test -o output.json gs://my-bucket
C. gcloud compute scp example-instance:~/test-data -o output.json gs://my-bucket
D. gsutil perfdiag -o output.json gs://my-bucket

Answer: D

Explanation:
https://cloud.google.com/storage/docs/gsutil/commands/perfdiag#providing-diagnostic-output-to- cloud-storage-team

NEW QUESTION # 220
You are using Cloud Build build to promote a Docker image to Development, Test, and Production environments. You need to ensure that the same Docker image is deployed to each of these environments.
How should you identify the Docker image in your build?

A. Use the latest Docker image tag.
B. Use the digest of the Docker image.
C. Use a unique Docker image name.
D. Use a semantic version Docker image tag.

Answer: D

NEW QUESTION # 221
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