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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionObjectives
Topic 1: Design scalable, available, and reliable cloud-native applications- Design highly performant applications and APIs
  • 1. Choose storage options for application data
  • 2. Design resilient and scalable application architectures
  • 3. Design secure applications
Topic 2: Deploy applications- Deploy applications to Google Cloud
  • 1. Deploy applications using Cloud Run
  • 2. Deploy applications to Google Kubernetes Engine
  • 3. Manage application rollout strategies
Topic 3: Integrate applications with Google Cloud services- Integrate with data and storage services
  • 1. Integrate with Google Cloud APIs
  • 2. Use messaging and event-driven services
  • 3. Implement authentication and authorization
Topic 4: Build and test applications- Manage development environments
  • 1. Implement CI/CD pipelines
  • 2. Build application artifacts
  • 3. Perform application testing
Topic 5: Manage application performance monitoring- Monitor and troubleshoot applications
  • 1. Configure logging and tracing
  • 2. Analyze metrics and alerts
  • 3. Optimize application performance

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Google Certified Professional - Cloud Developer Sample Questions (Q106-Q111):

NEW QUESTION # 106
Your company has deployed a new API to App Engine Standard environment. During testing, the API is not behaving as expected. You want to monitor the application over time to diagnose the problem within the application code without redeploying the application.
Which tool should you use?

Answer: A

Explanation:
Reference: https://rominirani.com/gcp-stackdriver-tutorial-debug-snapshots-traces-logging-and-logpoints-
1ba49e4780e6


NEW QUESTION # 107
Your company just experienced a Google Kubernetes Engine (GKE) API outage due to a zone failure. You want to deploy a highly available GKE architecture that minimizes service interruption to users in the event of a future zone failure. What should you do?

Answer: A

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/types-of-clusters#regional_clusters A regional cluster has multiple replicas of the control plane, running in multiple zones within a given region. Nodes in a regional cluster can run in multiple zones or a single zone depending on the configured node locations. By default, GKE replicates each node pool across three zones of the control plane's region. When you create a cluster or when you add a new node pool, you can change the default configuration by specifying the zone(s) in which the cluster's nodes run. All zones must be within the same region as the control plane.


NEW QUESTION # 108
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 for each new build. How should you configure local testing?

Answer: C

Explanation:
For local testing of Pub/Sub integration in a web application, installing and using the Pub/Sub emulator is the most efficient approach. The emulator can be installed via gcloud and started with a valid Google Project ID. Configuring your application to use the emulator locally is done by setting the PUBSUB_EMULATOR_HOST environment variable.
https://cloud.google.com/pubsub/docs/emulator


NEW QUESTION # 109
You are a developer at a large organization. You are deploying a web application to Google Kubernetes Engine (GKE). The DevOps team has built a CI/CD pipeline that uses Cloud Deploy to deploy the application to Dev, Test, and Prod clusters in GKE. After Cloud Deploy successfully deploys the application to the Dev cluster, you want to automatically promote it to the Test cluster. How should you configure this process following Google-recommended best practices?

Answer: B

Explanation:
https://cloud.google.com/functions/docs/calling/pubsub


NEW QUESTION # 110
Your application is built as a custom machine image. You have multiple unique deployments of the machine image. Each deployment is a separate managed instance group with its own template. Each deployment requires a unique set of configuration values. You want to provide these unique values to each deployment but use the same custom machine image in all deployments. You want to use out-of-the-box features of Compute Engine. What should you do?

Answer: A

Explanation:
Reference: https://cloud.google.com/compute/docs/instance-groups


NEW QUESTION # 111
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