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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Configuring cloud-native applications for deployment	24%	- Deploying applications to Google Kubernetes Engine 1. Creating and managing workloads and services 2. Configuring scaling, auto-scaling, and updates 3. Managing configurations and secrets - 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 2: Integrating applications with Google Cloud services	21%	- 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 - Integrating with data and storage services 1. Working with relational, NoSQL, and in-memory databases 2. Implementing messaging and event streaming 3. Using object storage and file storage solutions - Implementing application performance monitoring 1. Instrumenting code for metrics and traces 2. Using operations suite tools
Topic 3: 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. 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
Topic 4: Designing highly scalable, secure, and reliable cloud-native applications	32%	- 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 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 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 (Q208-Q213):

NEW QUESTION # 208
You have an on-premises application that authenticates to the Cloud Storage API using a user-managed service account with a user-managed key. The application connects to Cloud Storage using Private Google Access over a Dedicated Interconnect link. You discover that requests from the application to access objects in the Cloud Storage bucket are failing with a 403 Permission Denied error code. What is the likely cause of this issue?

A. The Interconnect link from the on-premises data center to Google Cloud is experiencing a temporary outage.
B. The service account key has been rotated but not updated on the application server.
C. The permissions of the service account's predefined role have changed.
D. The folder structure inside the bucket and object paths have changed.

Answer: B

NEW QUESTION # 209
You are currently pushing container images to Artifact Registry and deploying a containerized microservices application to GKE. After deploying the application, you notice that the services do not behave as expected. You use the kubectl get pods command to inspect the state of the application Pods, and discover that one of the Pods has a state of CrashLoopBackoff. How should you troubleshoot the Pod?

A. Run the kubectl logs POD_NAME command where the POD_NAME parameter is the name of the problematic Pod. Analyze the logs of the Pod from previous runs to determine the root cause of failed start attempts of the Pod.
B. Connect to the problematic Pod by running the kubectl exec -it POD_NAME - /bin/bash command where the POD_NAME parameter is the name of the problematic Pod. Inspect the logs in the
/var/log/messages folder to determine the root cause.
C. In the Google Cloud console, navigate to Cloud Logging in the project of the cluster's VPC. Enter a filter to show denied egress traffic to the Private Google Access CIDR range. Validate if egress traffic is denied from your GKE cluster to the Private Google Access CIDR range.
D. Execute the gcloud projects get-iam-policy PROJECT_ID command where the PROJECT_ID parameter is the name of the project where your Artifact Registry resides. Inspect the IAM bindings of the node pool's service account. Validate if the service account has the roles/artifactregistry.reader role.

Answer: A

Explanation:
https://komodor.com/learn/how-to-fix-crashloopbackoff-kubernetes-error/

NEW QUESTION # 210
You need to copy directory local-scripts and all of its contents from your local workstation to a Compute Engine virtual machine instance.
Which command should you use?

A. gsutil cp --project "my-gcp-project" -r ~/local-scripts/ gcp-instance- name:~/server-scripts/ --zone
"us-east1-b"
B. gsutil cp --project "my-gcp-project" -R ~/local-scripts/ gcp-instance- name:~/server-scripts/ --zone
"us-east1-b"
C. gcloud compute mv --project "my-gcp-project" --recurse ~/local-scripts/ gcp- instance- name:~/server-scripts/ --zone "us-east1-b"
D. gcloud compute scp --project "my-gcp-project" --recurse ~/local-scripts/ gcp-instance- name:~/server-scripts/ --zone "us-east1-b"

Answer: D

Explanation:
https://cloud.google.com/sdk/gcloud/reference/compute/copy-files

NEW QUESTION # 211
You recently developed a new application. You want to deploy the application on Cloud Run without a Dockerfile. Your organization requires that all container images are pushed to a centrally managed container repository. How should you build your container using Google Cloud services? (Choose two.)

A. Include the --platform=kubernetes flag with the gcloud run deploy CLI command.
B. Use the pack build command with pack CLI.
C. Include the --source flag with the gcloud run deploy CLI command.
D. Push your source code to Artifact Registry.
E. Submit a Cloud Build job to push the image.

Answer: B,C

Explanation:
For example, use buildpacks to build the source code of your Cloud Run service into a container image.
https://cloud.google.com/docs/buildpacks/build-application
https://cloud.google.com/blog/products/containers-kubernetes/google-cloud-now-supports- buildpacks If no Dockerfile is present in the source code directory, Google Cloud's buildpacks automatically detects the language you are using and fetches the dependencies of the code to make a production-ready container image, using a secure base image managed by Google.
https://cloud.google.com/run/docs/deploying-source-code

NEW QUESTION # 212
Your application takes an input from a user and publishes it to the user's contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?

A. Perform Read-Only transactions.
B. Perform stale reads using read-write transactions.
C. Perform stale reads using single-read methods.
D. Perform strong reads using single-read methods.

Answer: B

NEW QUESTION # 213
......

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