Google Cloud Interview Questions and Answers for 2 years experience

1. What are the core services offered by Google Cloud Platform (GCP)?

   • Answer: GCP offers a wide range of services, including Compute Engine (virtual machines), App Engine (PaaS), Kubernetes Engine (container orchestration), Cloud Storage (object storage), Cloud SQL (database service), Cloud Bigtable (NoSQL database), Cloud Spanner (globally-distributed database), Cloud Functions (serverless functions), Cloud Dataflow (stream and batch data processing), Cloud Pub/Sub (messaging service), and many more. These services cater to various needs, from compute and storage to data analytics and machine learning.

2. Explain the difference between Compute Engine and App Engine.

   • Answer: Compute Engine provides virtual machines (VMs) giving you complete control over the operating system and environment. App Engine is a Platform as a Service (PaaS) where you deploy your application code, and Google manages the underlying infrastructure. App Engine is easier to use for simpler applications, while Compute Engine offers greater flexibility and control for complex ones.

3. Describe your experience with Google Kubernetes Engine (GKE).

   • Answer: [This answer should be tailored to your experience. For example: "I have extensive experience deploying and managing containerized applications on GKE. I've worked with deployments, services, ingress, and managed to scale applications horizontally using GKE's autoscaling features. I'm familiar with concepts like pods, deployments, stateful sets, and managing secrets within GKE. I've also utilized GKE's monitoring and logging capabilities for troubleshooting and optimization."]

4. How do you handle scaling in GCP?

   • Answer: GCP offers various scaling options depending on the service. For Compute Engine, I'd utilize managed instance groups with autoscaling based on CPU utilization, custom metrics, or other relevant factors. For App Engine, automatic scaling adjusts instances based on traffic. For GKE, horizontal pod autoscaling dynamically adjusts the number of pods based on resource utilization. The choice depends on the application's requirements and performance needs.

5. Explain the different types of persistent storage options available in GCP.

   • Answer: GCP offers several persistent storage options: Persistent Disk (for VMs), Cloud Storage (object storage), Cloud SQL (for databases), and Cloud Filestore (managed file shares). Persistent Disk provides block storage directly attached to VMs, Cloud Storage is for storing unstructured data, Cloud SQL offers managed relational databases, and Cloud Filestore provides network file system storage.

6. How do you ensure the security of your applications and data on GCP?

   • Answer: Security is paramount. My approach involves leveraging GCP's security features like IAM (Identity and Access Management) for granular access control, VPC (Virtual Private Cloud) for network isolation, Cloud Armor for DDoS protection, and Data Loss Prevention (DLP) for sensitive data protection. I also employ best practices like regularly patching systems, using strong passwords and secrets management, and implementing robust logging and monitoring.

7. What are the different networking options in GCP?

   • Answer: GCP offers Virtual Private Cloud (VPC) for isolating resources, subnets for organizing networks, Cloud VPN for connecting to on-premises networks, Cloud Interconnect for high-bandwidth connections, and Cloud Load Balancing for distributing traffic. These options provide flexibility and control over network traffic and security.

8. Describe your experience with Google Cloud Storage (GCS).

   • Answer: [Tailor this to your experience. Example: "I've used GCS extensively for storing various types of data, including backups, images, and large datasets. I'm familiar with different storage classes (Standard, Nearline, Coldline, Archive) and how to choose the appropriate class based on access frequency and cost requirements. I have experience with lifecycle management policies to automate data archiving and deletion."]

9. How do you monitor the performance of your GCP applications?

   • Answer: I use Cloud Monitoring to track metrics such as CPU utilization, memory usage, network traffic, and latency. Cloud Logging provides detailed logs for troubleshooting and debugging. I set up alerts based on thresholds to proactively address performance issues. I also leverage dashboards to visualize key performance indicators (KPIs) and identify trends.

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