AWS for ML interview questions

33 real AWS for ML questions from the MLOps & Integration bank, as asked in Indian campus drives and tech interviews. Every question has a verified answer and an AI-tutor explanation on placd — free to start.

1. What is S3?

Junior
  1. A.a managed Docker registry that stores container images for ECS, EKS and Lambda
  2. B.AWS's managed platform for building, training, tuning and hosting ML models with endpoints
  3. C.resizable virtual machines, the compute foundation for self-managed training and serving
  4. D.object storage used as the data lake and model-artifact store for ML workloads
Reveal the answer + AI explanation — free account

3. Which statement is correct?

Junior
  1. A.S3 — an EKS feature mapping a Kubernetes service account to an IAM role via OIDC for keyless, scoped AWS access
  2. B.S3 — an isolated virtual network where subnets, route tables and security groups control traffic to workloads
  3. C.S3 — object storage used as the data lake and model-artifact store for ML workloads
  4. D.S3 — the service managing identities, roles and least-privilege permission policies across AWS
Reveal the answer + AI explanation — free account

4. What is IAM?

Junior
  1. A.the managed Kubernetes control plane for running containerized workloads on AWS
  2. B.an isolated virtual network where subnets, route tables and security groups control traffic to workloads
  3. C.the service managing identities, roles and least-privilege permission policies across AWS
  4. D.an EKS feature mapping a Kubernetes service account to an IAM role via OIDC for keyless, scoped AWS access
Reveal the answer + AI explanation — free account

6. Which statement is correct?

Junior
  1. A.IAM — a managed Docker registry that stores container images for ECS, EKS and Lambda
  2. B.IAM — the service managing identities, roles and least-privilege permission policies across AWS
  3. C.IAM — AWS's native container orchestrator, runnable on EC2 or serverless via Fargate
  4. D.IAM — resizable virtual machines, the compute foundation for self-managed training and serving
Reveal the answer + AI explanation — free account

7. What is EC2?

Junior
  1. A.the managed Kubernetes control plane for running containerized workloads on AWS
  2. B.a managed Docker registry that stores container images for ECS, EKS and Lambda
  3. C.serverless functions that run code on demand without provisioning servers, billed per invocation
  4. D.resizable virtual machines, the compute foundation for self-managed training and serving
Reveal the answer + AI explanation — free account

9. Which statement is correct?

Junior
  1. A.EC2 — a service that stores, rotates and retrieves secrets like DB credentials and API keys
  2. B.EC2 — an EKS feature mapping a Kubernetes service account to an IAM role via OIDC for keyless, scoped AWS access
  3. C.EC2 — the managed Kubernetes control plane for running containerized workloads on AWS
  4. D.EC2 — resizable virtual machines, the compute foundation for self-managed training and serving
Reveal the answer + AI explanation — free account

10. What is ECR?

Mid
  1. A.an EKS feature mapping a Kubernetes service account to an IAM role via OIDC for keyless, scoped AWS access
  2. B.a managed Docker registry that stores container images for ECS, EKS and Lambda
  3. C.the service managing identities, roles and least-privilege permission policies across AWS
  4. D.object storage used as the data lake and model-artifact store for ML workloads
Reveal the answer + AI explanation — free account

12. Which statement is correct?

Mid
  1. A.ECR — an EKS feature mapping a Kubernetes service account to an IAM role via OIDC for keyless, scoped AWS access
  2. B.ECR — resizable virtual machines, the compute foundation for self-managed training and serving
  3. C.ECR — the service managing identities, roles and least-privilege permission policies across AWS
  4. D.ECR — a managed Docker registry that stores container images for ECS, EKS and Lambda
Reveal the answer + AI explanation — free account

13. What is EKS?

Mid
  1. A.resizable virtual machines, the compute foundation for self-managed training and serving
  2. B.the managed Kubernetes control plane for running containerized workloads on AWS
  3. C.serverless functions that run code on demand without provisioning servers, billed per invocation
  4. D.AWS's managed platform for building, training, tuning and hosting ML models with endpoints
Reveal the answer + AI explanation — free account

15. Which statement is correct?

Mid
  1. A.EKS — an isolated virtual network where subnets, route tables and security groups control traffic to workloads
  2. B.EKS — an EKS feature mapping a Kubernetes service account to an IAM role via OIDC for keyless, scoped AWS access
  3. C.EKS — the service managing identities, roles and least-privilege permission policies across AWS
  4. D.EKS — the managed Kubernetes control plane for running containerized workloads on AWS
Reveal the answer + AI explanation — free account

16. What is ECS?

Mid
  1. A.the managed Kubernetes control plane for running containerized workloads on AWS
  2. B.resizable virtual machines, the compute foundation for self-managed training and serving
  3. C.a service that stores, rotates and retrieves secrets like DB credentials and API keys
  4. D.AWS's native container orchestrator, runnable on EC2 or serverless via Fargate
Reveal the answer + AI explanation — free account

18. Which statement is correct?

Mid
  1. A.ECS — resizable virtual machines, the compute foundation for self-managed training and serving
  2. B.ECS — AWS's native container orchestrator, runnable on EC2 or serverless via Fargate
  3. C.ECS — an isolated virtual network where subnets, route tables and security groups control traffic to workloads
  4. D.ECS — AWS's managed platform for building, training, tuning and hosting ML models with endpoints
Reveal the answer + AI explanation — free account

19. What is Lambda?

Mid
  1. A.a service that stores, rotates and retrieves secrets like DB credentials and API keys
  2. B.serverless functions that run code on demand without provisioning servers, billed per invocation
  3. C.AWS's native container orchestrator, runnable on EC2 or serverless via Fargate
  4. D.the service managing identities, roles and least-privilege permission policies across AWS
Reveal the answer + AI explanation — free account

21. Which statement is correct?

Mid
  1. A.Lambda — object storage used as the data lake and model-artifact store for ML workloads
  2. B.Lambda — AWS's native container orchestrator, runnable on EC2 or serverless via Fargate
  3. C.Lambda — an EKS feature mapping a Kubernetes service account to an IAM role via OIDC for keyless, scoped AWS access
  4. D.Lambda — serverless functions that run code on demand without provisioning servers, billed per invocation
Reveal the answer + AI explanation — free account

22. What is SageMaker?

Mid
  1. A.an EKS feature mapping a Kubernetes service account to an IAM role via OIDC for keyless, scoped AWS access
  2. B.object storage used as the data lake and model-artifact store for ML workloads
  3. C.AWS's native container orchestrator, runnable on EC2 or serverless via Fargate
  4. D.AWS's managed platform for building, training, tuning and hosting ML models with endpoints
Reveal the answer + AI explanation — free account

24. Which statement is correct?

Mid
  1. A.SageMaker — AWS's managed platform for building, training, tuning and hosting ML models with endpoints
  2. B.SageMaker — AWS's native container orchestrator, runnable on EC2 or serverless via Fargate
  3. C.SageMaker — object storage used as the data lake and model-artifact store for ML workloads
  4. D.SageMaker — the managed Kubernetes control plane for running containerized workloads on AWS
Reveal the answer + AI explanation — free account

25. What is Secrets Manager?

Mid
  1. A.AWS's native container orchestrator, runnable on EC2 or serverless via Fargate
  2. B.an isolated virtual network where subnets, route tables and security groups control traffic to workloads
  3. C.a service that stores, rotates and retrieves secrets like DB credentials and API keys
  4. D.object storage used as the data lake and model-artifact store for ML workloads
Reveal the answer + AI explanation — free account

27. Which statement is correct?

Mid
  1. A.Secrets Manager — AWS's managed platform for building, training, tuning and hosting ML models with endpoints
  2. B.Secrets Manager — resizable virtual machines, the compute foundation for self-managed training and serving
  3. C.Secrets Manager — a service that stores, rotates and retrieves secrets like DB credentials and API keys
  4. D.Secrets Manager — an isolated virtual network where subnets, route tables and security groups control traffic to workloads
Reveal the answer + AI explanation — free account

28. What is VPC?

Senior
  1. A.an isolated virtual network where subnets, route tables and security groups control traffic to workloads
  2. B.AWS's native container orchestrator, runnable on EC2 or serverless via Fargate
  3. C.object storage used as the data lake and model-artifact store for ML workloads
  4. D.a managed Docker registry that stores container images for ECS, EKS and Lambda
Reveal the answer + AI explanation — free account

30. Which statement is correct?

Senior
  1. A.VPC — AWS's managed platform for building, training, tuning and hosting ML models with endpoints
  2. B.VPC — an EKS feature mapping a Kubernetes service account to an IAM role via OIDC for keyless, scoped AWS access
  3. C.VPC — AWS's native container orchestrator, runnable on EC2 or serverless via Fargate
  4. D.VPC — an isolated virtual network where subnets, route tables and security groups control traffic to workloads
Reveal the answer + AI explanation — free account

Showing 30 of 33 AWS for ML questions — the full set, with answers, explanations and an AI tutor on every question, is inside.

Free to start

Answers, AI explanations, and a scored voice mock interview

Sign up free to check your answers with explanations, ask the AI tutor anything on any question, and take one full AI mock interview — scored like a real panel.

Practice AWS for ML free