GCP Intermediate Interview Questions
  1. How would you set up and secure a virtual private cloud (VPC) in Google Cloud Platform?
  2. Describe how to manage and automate resource deployment in GCP using Terraform.
  3. How do you implement a load balancer in GCP and what are the different types available?
  4. How do you implement and manage a Cloud SQL instance in GCP and what best practices should you follow?
  5. How do you monitor and optimize the performance of a GCP environment, especially focusing on services like Compute Engine, Cloud Storage, and BigQuery?
  6. In GCP, how do you configure autoscaling for a Compute Engine instance group based on CPU utilization?
  7. What steps are involved in migrating an on-premises SQL database to Google Cloud SQL, and what are key considerations during this process?
  8. How can you use Google Cloud Pub/Sub for handling real-time messaging in a distributed system?
  9. How do you configure a Virtual Private Cloud (VPC) in GCP for a secure, isolated network environment for your resources?
  10. How do you set up and use Cloud SQL in GCP to manage a relational database, and what are some best practices for database management and security?
  11. How can you utilize Google Cloud Functions for event-driven processing in your applications, and what are the best practices for doing so?
  12. How can you utilize Google Cloud's Bigtable for high-throughput, scalable NoSQL database solutions, and what are some best practices for its deployment?
  13. How do you configure and manage network security in GCP, specifically focusing on VPCs, firewalls, and IAM roles?
GCP Advanced Interview Questions
  1. Explain how to implement and use Google Cloud Pub/Sub for real-time data processing and analyze its advantages over traditional messaging systems.
  2. Explain how to implement a hybrid cloud architecture using Google Cloud’s Anthos, and discuss its benefits and challenges.
  3. How can you optimize cost in GCP, particularly when using Compute Engine, Storage, and BigQuery?
  4. Explain the process of setting up a Data Lake on GCP, and discuss the key components and considerations involved.
  5. How can you set up a cross-region disaster recovery plan for a multi-tier web application hosted on GCP?
  6. How do you implement a secure and scalable microservices architecture in GCP using Kubernetes Engine (GKE) and Istio?
  7. Describe how to set up and configure a BigQuery environment for large-scale data analytics in GCP, including data loading and query optimization.
  8. What strategies would you use to optimize cost and performance for a large-scale data processing task in BigQuery?
  9. What are some advanced techniques for managing and optimizing the performance of Google Kubernetes Engine (GKE) clusters?
  10. How do you set up a secure and compliant environment for handling sensitive data in GCP, particularly with services like BigQuery and Cloud Storage?
  11. What are the strategies for implementing a robust disaster recovery plan in GCP, particularly focusing on critical data and application availability?
  12. How do you implement an effective logging and error detection strategy in GCP, particularly with services like Compute Engine, Kubernetes Engine, and Cloud Functions?
  13. How do you optimize a GCP environment for high-performance computing (HPC) tasks, focusing on Compute Engine configurations and network optimizations?
  14. In GCP, how would you configure a multi-regional, highly available architecture for a web application that requires near-zero downtime?
  15. How do you set up a secure and efficient data pipeline in GCP for processing large datasets, incorporating services like Dataflow, BigQuery, and Cloud Storage?
  16. How would you implement a machine learning model deployment in GCP, using AI Platform or Kubernetes Engine, with considerations for scalability and real-time inference?
  17. How do you set up a cloud-based big data analytics environment in GCP, leveraging tools like BigQuery, Dataflow, Pub/Sub, and Dataproc, for processing and analyzing large volumes of data?
  18. In GCP, how would you optimize a network for a global application that has high traffic and requires low latency, using services like Cloud Load Balancing, Content Delivery Network (CDN), and Cloud DNS?
  19. How do you set up a secure VPN connection between your on-premises network and GCP, utilizing Cloud VPN and Cloud Router for dynamic routing?
  20. How do you configure a multi-tier, auto-scaling web application in GCP, ensuring efficient load distribution and high availability across different regions?
  21. How do you implement a data warehousing solution in GCP using BigQuery, ensuring optimal performance for large-scale data analysis and reporting?
  22. How would you set up a serverless microservices architecture in GCP using Cloud Functions, Cloud Pub/Sub, and Cloud Firestore for a real-time chat application?
  23. How do you implement a recommendation engine in GCP using BigQuery and Cloud Machine Learning Engine (ML Engine) for a personalized content platform?
  24. How do you implement cross-region replication for a Cloud Storage bucket in GCP?
  25. How do you implement Identity-Aware Proxy (IAP) for securing access to applications in GCP?
  26. Explain how you would set up a VPC peering connection between two Virtual Private Cloud (VPC) networks in different projects within GCP.
  27. How do you ensure high availability for a Kubernetes cluster in GCP, considering node pools, regional clusters, and node auto-repair?
  28. How can you use Cloud Armor in GCP to protect your web applications from DDoS attacks and other threats?
  29. Explain how you can create a custom machine image in Google Cloud Platform (GCP) for virtual machine instances.