Preview a few questions below — answers are revealed when you take the
exam.
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A team needs to migrate a monolithic application to Google Cloud. The application has multiple components that can be deployed independently. What approach should they take to ensure scalability and maintainability?
- A. Refactor the application into microservices and deploy each service on a separate Compute Engine instance.
- B. Containerize the application using Docker and deploy it on Google Kubernetes Engine (GKE).
- C. Use Google App Engine to deploy the application as a single unit.
- D. Migrate the application to Google Cloud Functions and use Cloud Pub/Sub for inter-service communication.
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Consider the situation where a company wants to implement a disaster recovery plan for their Google Cloud infrastructure. Which method solves it best?
- A. Use Cloud Storage for backups and Cloud DNS for failover.
- B. Set up a multi-region Cloud SQL instance and use Cloud Spanner for global transactions.
- C. Implement a backup strategy using Cloud Storage and set up a secondary GKE cluster in another region.
- D. Use Cloud Dataflow for data replication and Cloud Pub/Sub for message queuing.
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Which option best evaluates the performance of a Google Cloud Storage bucket used for storing large video files?
- A. Monitor the number of requests and the latency of each request using Cloud Monitoring.
- B. Check the storage class distribution and the cost associated with each class using Cloud Billing reports.
- C. Analyze the network egress and ingress traffic using VPC Flow Logs.
- D. Review the IAM policies and permissions assigned to the bucket using Cloud Identity and Access Management.
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How should a professional assess the security posture of a Google Cloud project?
- A. Conduct regular security audits using Cloud Security Command Center and implement recommended remediations.
- B. Rely solely on default security settings provided by Google Cloud.
- C. Use third-party security tools without integrating them with Google Cloud services.
- D. Disable all APIs and services that are not explicitly required for the project.
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What strategy should be applied when designing a cost-effective solution for storing infrequently accessed data in Google Cloud?
- A. Use Cloud Storage with Nearline or Coldline storage classes for cost savings.
- B. Store data in Cloud SQL with automated backups to reduce storage costs.
- C. Use Cloud Memorystore for caching frequently accessed data to lower costs.
- D. Deploy a custom solution using Compute Engine instances for data storage.