90+ AWS DevOps Interview Questions and Answers [Updated for 2025]

This guide provides 91 scenario-based AWS DevOps interview questions with detailed answers, covering CI/CD with CodePipeline, containerization with ECS, serverless with Lambda, IaC with CloudFormation, monitoring with CloudWatch, and security with IAM and KMS. Master AWS tools to excel in technical interviews and build scalable, secure solutions for enterprise environments.

AWS CI/CD Pipelines

1. What do you do when an AWS CodePipeline fails to start?

A CodePipeline failure disrupts deployments. Check pipeline execution history in AWS Console, verify IAM roles, and ensure CodeCommit repository access. Test triggers in a sandbox environment, monitor metrics with CloudWatch, and visualize with Grafana to resolve issues and ensure consistent pipeline execution in production workflows.

2. Why does a CodeBuild stage fail to execute?

CodeBuild stage failures halt CI/CD due to invalid buildspec.yml or dependency issues. Inspect build logs in CloudWatch, validate buildspec syntax, and test in a sandbox environment. Debugging requires checking exit codes. Monitor build metrics with CloudWatch, automate with CodePipeline, and visualize with Grafana to ensure reliable stage execution in production pipelines.

3. How do you configure a CodePipeline for a Node.js application?

{
"pipeline": {
"name": "node-app-pipeline",
"stages": [
{
"name": "Source",
"actions": [
{
"name": "Source",
"actionTypeId": {
"category": "Source",
"owner": "AWS",
"provider": "CodeCommit",
"version": "1"
}
}
]
},
{
"name": "Build",
"actions": [
{
"name": "Build",
"actionTypeId": {
"category": "Build",
"owner": "AWS",
"provider": "CodeBuild",
"version": "1"
}
}
]
}
]
}
}
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for reliable Node.js pipelines.

4. When does a pipeline need environment-specific branches?

Environment-specific branches are needed for multi-environment deployments or compliance. Use CodeCommit branches (e.g., dev, prod), test in a sandbox environment, and monitor branch metrics with CloudWatch. Visualize with Grafana to ensure consistent branch deployments and prevent issues in production pipelines.

5. Where do you store pipeline configurations for team access?

Pipeline configurations ensure consistent CI/CD.

• Store pipeline definitions in CodeCommit repositories.
• Use IAM policies for access control.
• Automate updates with AWS CLI scripts.
• Test configurations in a sandbox environment.
• Visualize pipeline health with Grafana.
  This supports collaborative pipeline management in AWS.

6. Which AWS services enhance CI/CD pipeline performance?

• CodePipeline: Orchestrates CI/CD workflows.
• CodeBuild: Executes build tasks.
• CodeDeploy: Automates deployments.
• CloudWatch: Tracks pipeline metrics.
• Grafana: Visualizes performance data.
  These services improve performance. Test in a sandbox environment and monitor with Grafana for robust pipelines.

7. Who oversees AWS pipeline maintenance in a team?

DevOps engineers oversee AWS pipeline maintenance, storing configurations in CodeCommit. They validate with CodePipeline, automate with AWS CLI, monitor metrics with CloudWatch, and visualize with Grafana to ensure reliable pipeline performance and prevent disruptions in production environments.

8. What causes a CodePipeline to fail during S3 artifact upload?

S3 upload failures disrupt pipelines due to incorrect bucket policies or network issues. Verify S3 IAM permissions, check network connectivity, and test in a sandbox environment. Monitor upload metrics with CloudWatch and visualize with Grafana to ensure reliable artifact uploads in production pipelines.

9. Why does a CodeDeploy deployment fail in ECS?

ECS deployment failures in CodeDeploy stem from invalid task definitions or service issues, delaying rollouts. Validate task definitions with aws ecs describe-task-definition, ensure IAM roles, and test in a sandbox environment. Monitor metrics with CloudWatch, automate with CodePipeline, and visualize with Grafana to ensure reliable ECS deployments in production workflows.

10. How do you implement a blue-green deployment in CodePipeline?

{
"pipeline": {
"name": "blue-green-pipeline",
"stages": [
{
"name": "DeployBlue",
"actions": [
{
"name": "DeployBlue",
"actionTypeId": {
"category": "Deploy",
"owner": "AWS",
"provider": "CodeDeploy",
"version": "1"
}
}
]
},
{
"name": "SwitchTraffic",
"actions": [
{
"name": "Switch",
"actionTypeId": {
"category": "Deploy",
"owner": "AWS",
"provider": "CodeDeploy",
"version": "1"
}
}
]
}
]
}
}
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for seamless deployments.

11. What do you do when a pipeline runs out of storage in CodeBuild?

Storage issues in CodeBuild halt builds. Check disk usage in CloudWatch, clean build artifacts with aws codebuild batch-delete-builds, and test in a sandbox environment. Monitor storage metrics with CloudWatch and visualize with Grafana to prevent shortages and ensure smooth pipeline execution in production.

12. Why does a CodePipeline fail to trigger on schedule?

Scheduled trigger failures result from incorrect EventBridge rules or IAM issues. Validate EventBridge cron expressions, ensure pipeline permissions, and test in a sandbox environment. Monitor trigger metrics with CloudWatch and visualize with Grafana to ensure consistent scheduling in production pipelines.

13. How do you configure parallel builds in CodeBuild?

{
"version": "0.2",
"phases": {
"build": {
"commands": [
"npm install",
"npm run test:unit & npm run test:integration"
]
}
}
}
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for efficient parallel builds.

14. When does a pipeline need security scans in CodePipeline?

Security scans are needed for sensitive applications or compliance. Integrate CodeGuru scans, test in a sandbox environment, and monitor vulnerabilities with CloudWatch. Visualize with Grafana to ensure secure pipelines and prevent vulnerabilities in production environments.

15. Where do you store pipeline artifacts in AWS?

Pipeline artifacts ensure deployment consistency.

• Store artifacts in S3 buckets with versioning.
• Use KMS for encryption.
• Automate uploads with CodePipeline actions.
• Test access in a sandbox environment.
• Visualize artifact metrics with Grafana.
  This supports secure artifact management in AWS.

AWS Containerization and Orchestration

16. What do you do when an ECS task fails to start?

ECS task failures disrupt services. Check task logs in CloudWatch, verify task definitions, and ensure sufficient cluster resources. Test fixes in a sandbox environment, commit to CodeCommit, and monitor with CloudWatch. Automate with CodePipeline and visualize with Grafana to ensure stable task startup in production.

17. Why does an EKS pod fail to initialize?

EKS pod initialization failures halt workloads, often due to missing images or IAM issues. Check kubectl describe pod for events, validate EKS IAM roles, and test in a sandbox environment. Debugging involves reviewing pod logs. Monitor with CloudWatch, automate with CloudFormation, and visualize with Grafana to ensure reliable pod initialization in production clusters.

18. How do you deploy an application to ECS?

aws ecs register-task-definition --cli-input-json file://task.json
aws ecs update-service --cluster app-cluster --service app-service --task-definition app-task
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for reliable ECS deployments.

19. When does an ECS task need resource tuning?

Resource tuning is needed for task crashes or performance issues. Monitor CPU/memory with CloudWatch, adjust task definitions, and test in a sandbox environment. Visualize metrics with Grafana to ensure optimal resource allocation and prevent issues in production ECS clusters.

20. Where do you store EKS configurations for team collaboration?

EKS configurations ensure consistent orchestration.

• Store manifests in CodeCommit repositories.
• Use IAM policies for access control.
• Automate deployments with CloudFormation.
• Test in a sandbox environment.
• Visualize changes with Grafana dashboards.
  This supports collaborative EKS management.

21. Which AWS services optimize container orchestration?

• ECS: Manages containerized workloads.
• EKS: Runs Kubernetes clusters.
• Fargate: Simplifies serverless containers.
• CloudWatch: Tracks container metrics.
• Grafana: Visualizes cluster performance.
  These services enhance orchestration. Test in a sandbox environment and monitor with Grafana.

22. Who manages EKS clusters in a DevOps team?

DevOps engineers manage EKS clusters, storing configurations in CodeCommit. They validate with kubectl, automate with CloudFormation, monitor with CloudWatch, and visualize with Grafana to ensure stable cluster performance and prevent downtime in production environments.

23. What causes an ECS task to fail health checks?

Health check failures disrupt services due to application errors or misconfigured checks. Validate healthCheck settings in task definitions, test in a sandbox environment, and monitor with CloudWatch. Visualize with Grafana to ensure reliable health checks in production ECS clusters.

24. Why does an EKS deployment fail to scale?

Scaling failures block workload distribution due to insufficient nodes or misconfigured HPA. Validate HPA with kubectl describe hpa, test in a sandbox environment, and monitor with CloudWatch. Automate with CloudFormation and visualize with Grafana to ensure reliable scaling in production EKS clusters.

25. How do you configure an EKS service for external access?

apiVersion: v1
kind: Service
metadata:
name: app-service
spec:
type: LoadBalancer
selector:
app: web
ports:

• port: 80
  targetPort: 8080
  Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for reliable external access.

26. What do you do when an ECR image fails to pull?

ECR image pull failures disrupt deployments. Verify IAM permissions with aws ecr get-login-password, check network connectivity, and test in a sandbox environment. Monitor pull metrics with CloudWatch and visualize with Grafana to ensure reliable image pulls in production.

27. Why does an ECS task fail to connect to RDS?

RDS connection failures disrupt services due to incorrect security groups or credentials. Validate security group rules, check IAM roles, and test in a sandbox environment. Monitor with CloudWatch, automate with CloudFormation, and visualize with Grafana to ensure reliable RDS connections in production ECS tasks.

28. How do you manage secrets in an ECS task?

aws secretsmanager get-secret-value --secret-id db-password
{
"taskDefinition": {
"containerDefinitions": [
{
"name": "app",
"secrets": [
{
"name": "DB_PASSWORD",
"valueFrom": "arn:aws:secretsmanager:region:account:secret:db-password"
}
]
}
]
}
}
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for secure secret management.

29. When does an EKS cluster need namespace isolation?

Namespace isolation is needed for multi-team environments or security. Configure with kubectl create namespace, test in a sandbox environment, and monitor with CloudWatch. Visualize with Grafana to ensure isolated workloads in production EKS clusters.

30. Where do you store ECR images for secure distribution?

ECR images ensure secure deployments.

• Store images in private ECR repositories.
• Use KMS for encryption.
• Automate pushes with CodePipeline.
• Test pulls in a sandbox environment.
• Visualize registry metrics with Grafana.
  This supports secure image distribution in AWS.

AWS Infrastructure as Code (IaC)

31. What do you do when a CloudFormation stack fails to deploy?

Stack deployment failures disrupt infrastructure. Review CloudFormation events in AWS Console, check template syntax, and test in a sandbox environment. Monitor stack metrics with CloudWatch and visualize with Grafana to resolve issues and ensure consistent infrastructure in production environments.

32. Why does a Terraform apply fail in an AWS environment?

Terraform apply failures halt provisioning, often due to invalid IAM permissions or resource conflicts. Validate IAM roles with aws iam get-role, check terraform apply logs, and test in a sandbox environment. Debugging involves inspecting state files. Monitor with CloudWatch, automate with CodePipeline, and visualize with Grafana to ensure reliable provisioning in production AWS environments.

33. How do you provision an S3 bucket with CloudFormation?

{
"Resources": {
"AppBucket": {
"Type": "AWS::S3::Bucket",
"Properties": {
"BucketName": "my-app-bucket"
}
}
}
}
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for reliable S3 provisioning.

34. When does a CloudFormation template need updates?

Template updates are needed for new resources or compliance changes. Validate with aws cloudformation validate-template, test in a sandbox environment, and monitor with CloudWatch. Visualize with Grafana to ensure up-to-date infrastructure in production environments.

35. Where do you store IaC templates for team collaboration?

IaC templates ensure infrastructure consistency.

• Store CloudFormation templates in CodeCommit.
• Use S3 for template backups.
• Automate updates with AWS CLI scripts.
• Test in a sandbox environment.
• Visualize changes with Grafana dashboards.
  This supports collaborative IaC management in AWS.

36. Which AWS services improve IaC efficiency?

• CloudFormation: Provisions AWS resources.
• Terraform: Manages multi-cloud infrastructure.
• AWS CLI: Automates IaC tasks.
• CodePipeline: Integrates IaC with CI/CD.
• Grafana: Visualizes deployment metrics.
  These services enhance efficiency. Test in a sandbox environment and monitor with Grafana.

37. Who maintains IaC scripts in an AWS team?

DevOps engineers maintain IaC scripts, storing them in CodeCommit. They validate with aws cloudformation validate-template, automate with CodePipeline, monitor with CloudWatch, and visualize with Grafana to ensure consistent infrastructure and prevent drift in production AWS environments.

38. What causes a Terraform state file to become inconsistent in AWS?

State file inconsistencies disrupt provisioning due to manual changes or lock issues. Run terraform refresh, check DynamoDB locks, and test in a sandbox environment. Monitor with CloudWatch and visualize with Grafana to ensure consistent state management in production AWS environments.

39. Why does a CloudFormation stack fail to delete resources?

Deletion failures leave orphaned resources due to dependency issues or permissions. Check CloudFormation events, validate IAM roles, and test in a sandbox environment. Monitor with CloudWatch and visualize with Grafana to ensure complete resource cleanup in production environments.

40. How do you configure Terraform for an RDS instance?

resource "aws_db_instance" "app_db" {
identifier = "app-db"
engine = "mysql"
instance_class = "db.t3.micro"
allocated_storage = 20
}
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for reliable RDS provisioning.

41. What do you do when a CloudFormation stack exceeds cost limits?

Cost overruns disrupt budgets. Analyze with AWS Cost Explorer, optimize resource types, and test in a sandbox environment. Monitor cost metrics with CloudWatch and visualize with Grafana to ensure cost-efficient infrastructure provisioning in production AWS environments.

42. Why does a Terraform module fail to provision AWS resources?

Module provisioning failures occur from incorrect configurations or versions. Validate module source in .tf files, test in a sandbox environment, and monitor with CloudWatch. Visualize with Grafana to ensure reliable module provisioning in production AWS environments.

43. How do you manage CloudFormation stacks for multiple environments?

{
"Parameters": {
"Env": {
"Type": "String",
"AllowedValues": ["dev", "prod"]
}
},
"Resources": {
"AppBucket": {
"Type": "AWS::S3::Bucket",
"Properties": {
"BucketName": {"Fn::Join": ["-", ["my-app", {"Ref": "Env"}]]}
}
}
}
}
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for multi-environment management.

44. What do you do when an IaC script fails to update an AWS resource?

Update failures halt infrastructure changes. Review CloudFormation change sets, check resource dependencies, and test in a sandbox environment. Monitor with CloudWatch and visualize with Grafana to ensure successful resource updates in production AWS environments.

AWS Monitoring and Logging

45. What do you do when CloudWatch fails to collect metrics?

Metric collection failures hide system issues. Verify CloudWatch agent configurations, check IAM permissions, and test in a sandbox environment. Monitor collection metrics with CloudWatch and visualize with Grafana to ensure reliable metric collection in production AWS systems.

46. Why does a CloudWatch Logs stream fail to capture application logs?

Log stream failures hinder debugging, often due to incorrect filters or agent issues. Validate CloudWatch Logs agent settings, ensure endpoint connectivity, and test in a sandbox environment. Debugging involves checking log group configurations. Monitor with CloudWatch, automate with CodePipeline, and visualize with Grafana to ensure comprehensive log capture in production AWS systems.

47. How do you configure CloudWatch for Lambda monitoring?

{
"FunctionName": "myFunction",
"TracingConfig": {
"Mode": "Active"
}
}
aws cloudwatch put-metric-alarm --alarm-name LambdaErrors --metric-name Errors --namespace AWS/Lambda
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for reliable Lambda monitoring.

48. When does an AWS system need custom logging configurations?

Custom logging is needed for application-specific debugging or compliance. Configure CloudWatch Logs filters, test in a sandbox environment, and monitor with CloudWatch. Visualize with Grafana to ensure tailored logging and compliance in production AWS systems.

49. Where do you store CloudWatch configurations for team access?

CloudWatch configurations ensure observability.

• Store metric filters in CodeCommit repositories.
• Archive logs in S3 for retention.
• Automate updates with AWS CLI scripts.
• Test in a sandbox environment.
• Visualize rule performance with Grafana.
  This supports collaborative monitoring management in AWS.

50. Which AWS services improve monitoring accuracy?

• CloudWatch: Collects precise metrics.
• X-Ray: Traces application performance.
• CloudTrail: Logs API activity.
• SNS: Routes critical alerts.
• Grafana: Visualizes detailed dashboards.
  These services enhance accuracy. Test in a sandbox environment and monitor with Grafana.

51. Who configures CloudWatch monitoring in a team?

DevOps engineers configure CloudWatch monitoring, storing rules in CodeCommit. They validate with aws cloudwatch describe-alarms, automate with CloudFormation, monitor with CloudWatch, and visualize with Grafana to ensure accurate metric tracking in production AWS environments.

52. What causes a CloudWatch dashboard to show outdated data?

Outdated dashboard data misleads operations due to stale metrics or cache issues. Validate CloudWatch queries, clear dashboard cache, and test in a sandbox environment. Monitor with CloudWatch and visualize with Grafana to ensure accurate data display in production AWS dashboards.

53. Why does a CloudWatch Logs stream fail under high load?

High load failures result from throughput limits or scaling issues. Optimize CloudWatch Logs throughput, test in a sandbox environment, and monitor with CloudWatch. Automate with CodePipeline and visualize with Grafana to ensure scalable log processing in production AWS systems.

54. How do you set up a CloudWatch alarm for EC2 CPU usage?

aws cloudwatch put-metric-alarm --alarm-name HighCPU --metric-name CPUUtilization --namespace AWS/EC2 --threshold 80
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for reliable EC2 monitoring.

55. What do you do when CloudWatch Logs contain sensitive data?

Sensitive data in logs risks breaches. Filter logs with CloudWatch Logs Insights, scan with Secrets Manager, and test in a sandbox environment. Monitor with CloudWatch and visualize with Grafana to prevent exposure and ensure secure logging in production AWS systems.

56. Why does a CloudWatch alarm fail to trigger?

Alarm trigger failures delay responses due to incorrect thresholds or metrics. Validate alarm settings with aws cloudwatch describe-alarms, test in a sandbox environment, and monitor with CloudWatch. Visualize with Grafana to ensure reliable alarm triggers in production AWS systems.

57. How do you configure CloudWatch for SNS notifications?

aws cloudwatch put-metric-alarm --alarm-name AppError --metric-name Errors --namespace Custom --threshold 10 --alarm-actions arn:aws:sns:region:account:app-alerts
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for reliable notifications.

58. When does an AWS system need log retention policies?

Log retention policies are needed for compliance or debugging. Configure CloudWatch Logs retention, test in a sandbox environment, and monitor with CloudWatch. Visualize with Grafana to ensure compliant log management in production AWS systems.

AWS Security and Compliance

59. What do you do when a pipeline exposes AWS credentials?

Credential exposure in pipelines risks breaches. Use Secrets Manager for credential storage, scan with AWS Config, and test in a sandbox environment. Monitor vulnerabilities with CloudWatch and visualize with Grafana to prevent leaks and ensure secure pipeline execution in production.

60. Why does an AWS system fail PCI DSS compliance?

PCI DSS failures risk penalties, often due to unencrypted data or missing audit logs. Enable KMS encryption, configure CloudTrail, and test in a sandbox environment. Implement audit trails for compliance. Monitor with CloudWatch, automate with CloudFormation, and visualize with Grafana to ensure compliant AWS systems in production environments.

61. How do you secure an S3 bucket with IAM policies?

{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {"AWS": "arn:aws:iam::account:user/app-user"},
"Action": "s3:GetObject",
"Resource": "arn:aws:s3:::my-app-bucket/*"
}
]
}
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for secure S3 access.

62. When does an AWS system need security audits?

Security audits are needed for sensitive data or compliance. Scan with AWS Config, test in a sandbox environment, and monitor with CloudWatch. Visualize with Grafana to ensure secure, compliant AWS systems in production environments.

63. Where do you store AWS security policies for accessibility?

Security policies ensure consistent protection.

• Store policies in CodeCommit repositories.
• Use Secrets Manager for credentials.
• Automate updates with CloudFormation.
• Test in a sandbox environment.
• Visualize access with Grafana dashboards.
  This supports secure policy management in AWS.

64. Which AWS services strengthen security?

• IAM: Manages access controls.
• KMS: Encrypts sensitive data.
• Secrets Manager: Secures credentials.
• AWS Config: Tracks compliance.
• Grafana: Monitors security events.
  These services enhance security. Test in a sandbox environment and monitor with Grafana.

65. Who implements AWS security policies in a team?

DevOps engineers implement AWS security policies, storing them in CodeCommit. They scan with AWS Config, automate with CloudFormation, monitor with CloudWatch, and visualize with Grafana to ensure secure policy enforcement in production AWS environments.

66. What causes an AWS pipeline to fail security scans?

Security scan failures result from vulnerable dependencies or misconfigurations. Scan with CodeGuru, update packages, and test in a sandbox environment. Monitor vulnerabilities with CloudWatch and visualize with Grafana to ensure secure pipeline execution in production.

67. Why does an AWS system fail to encrypt data at rest?

Data encryption failures risk breaches due to missing KMS keys or policies. Enable KMS with aws kms create-key, validate IAM roles, and test in a sandbox environment. Monitor with CloudWatch, automate with CloudFormation, and visualize with Grafana to ensure encrypted data in production AWS systems.

68. How do you manage secrets in an EKS cluster?

apiVersion: v1
kind: Secret
metadata:
name: app-secret
data:
api-key: { "Fn::Sub": "${aws_secretsmanager_secret_version.app-secret.arn}" }
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for secure secret management.

69. What do you do when an AWS system fails GDPR compliance?

GDPR compliance failures risk penalties due to unencrypted data. Enable KMS encryption, configure CloudTrail logs, and test in a sandbox environment. Monitor compliance with CloudWatch and visualize with Grafana to ensure compliant AWS systems in production environments.

70. Why does an IAM policy fail to enforce access controls?

IAM policy failures occur from incorrect permissions or scope. Validate with aws iam simulate-policy, test in a sandbox environment, and monitor with CloudWatch. Automate with CloudFormation and visualize with Grafana to ensure secure access in production AWS systems.

71. How do you scan ECR images for vulnerabilities?

aws ecr start-image-scan --repository-name my-repo --image-id imageTag=latest
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana to ensure secure image deployment in production pipelines.

72. When does an AWS system need penetration testing?

Penetration testing is needed for critical applications or compliance. Use AWS Inspector, test in a sandbox environment, and monitor with CloudWatch. Visualize with Grafana to ensure secure AWS systems in production environments.

AWS Automation and Scripting

73. What do you do when an AWS CLI script fails in a pipeline?

CLI script failures disrupt automation. Debug with --debug flag, validate IAM permissions, and test in a sandbox environment. Monitor errors with CloudWatch and visualize with Grafana to resolve issues and ensure reliable script execution in production AWS pipelines.

74. Why does a Lambda function fail to execute a script?

Lambda script failures halt automation, often due to runtime issues or permissions. Validate function code with aws lambda get-function, check IAM roles, and test in a sandbox environment. Debugging involves checking CloudWatch logs. Monitor with CloudWatch, automate with CodePipeline, and visualize with Grafana to ensure reliable Lambda execution in production AWS environments.

75. How do you automate S3 backups with AWS CLI?

aws s3 cp /data/backup.sql s3://my-bucket/backup.sql
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for reliable S3 backups in production.

76. When does a script need optimization in AWS?

Script optimization is needed for slow execution or high costs. Profile with CloudWatch metrics, optimize AWS SDK calls, and test in a sandbox environment. Monitor with CloudWatch and visualize with Grafana to ensure efficient script performance in production AWS environments.

77. Where do you store automation scripts for AWS accessibility?

Automation scripts streamline AWS workflows.

• Store scripts in CodeCommit repositories.
• Organize in directories (e.g., automation/).
• Automate execution with CodePipeline.
• Test in a sandbox environment.
• Visualize execution with Grafana dashboards.
  This supports collaborative script access in AWS.

78. Which AWS services enhance automation reliability?

• AWS CLI: Executes automation scripts.
• Lambda: Runs serverless automation.
• CodePipeline: Integrates automation workflows.
• CloudWatch: Monitors script performance.
• Grafana: Visualizes automation metrics.
  These services improve reliability. Test in a sandbox environment and monitor with Grafana.

79. Who maintains AWS automation scripts in a team?

DevOps engineers maintain AWS automation scripts, storing them in CodeCommit. They validate with AWS CLI, automate with CodePipeline, monitor with CloudWatch, and visualize with Grafana to ensure reliable script execution in production AWS environments.

80. What causes an AWS CLI script to fail authentication?

Authentication failures result from expired credentials or incorrect IAM roles. Validate with aws sts get-caller-identity, test in a sandbox environment, and monitor with CloudWatch. Automate with CloudFormation and visualize with Grafana for reliable authentication.

81. Why does a Lambda function consume excessive resources?

Excessive resource usage stems from unoptimized code or timeouts. Profile with CloudWatch metrics, optimize function code, and test in a sandbox environment. Monitor with CloudWatch and visualize with Grafana to ensure efficient resource usage in production Lambda functions.

82. How do you write a script to automate EC2 instance restarts?

aws ec2 reboot-instances --instance-ids i-1234567890abcdef0
Test in a sandbox environment, monitor with CloudWatch, and visualize with Grafana for reliable EC2 restarts in production.

83. What do you do when a script fails to access an S3 bucket?

S3 access failures disrupt automation. Verify IAM permissions with aws s3 ls, check bucket policies, and test in a sandbox environment. Monitor with CloudWatch and visualize with Grafana to ensure reliable S3 access in production scripts.

84. Why does an automation script fail to scale in AWS?

Scaling failures occur from resource-intensive tasks. Optimize with AWS SDK, test in a sandbox environment, and monitor with CloudWatch. Visualize with Grafana to ensure scalable automation in production AWS workflows.

AWS Performance Optimization

85. What do you do when an EC2 instance experiences high latency?

High latency degrades performance. Profile with CloudWatch metrics, optimize instance types, and test in a sandbox environment. Monitor with CloudWatch and visualize with Grafana to ensure low latency and reliable performance in production AWS systems.

86. Why does an EKS cluster face performance bottlenecks?

Performance bottlenecks in EKS slow workloads, often due to overcommitted nodes or network issues. Use kubectl top to monitor usage, adjust node groups, and test in a sandbox environment. Optimization requires tuning VPC settings. Monitor with CloudWatch, automate with CloudFormation, and visualize with Grafana to ensure efficient EKS performance in production environments.

87. How do you optimize a Lambda function for execution time?

{
"FunctionName": "myFunction",
"MemorySize": 256,
"Timeout": 30
}
Optimize code, adjust memory settings, and test in a sandbox environment. Monitor with CloudWatch and visualize with Grafana for efficient Lambda execution in production.

88. When does an AWS application need performance tuning?

Performance tuning is needed for latency spikes or resource overuse. Monitor with CloudWatch, optimize configurations, and test in a sandbox environment. Visualize with Grafana to ensure efficient performance in production AWS systems.

89. Where do you store performance optimization scripts in AWS?

Performance scripts optimize AWS systems.

• Store scripts in CodeCommit repositories.
• Organize in directories (e.g., perf-tuning/).
• Automate with CodePipeline.
• Test in a sandbox environment.
• Visualize with Grafana dashboards.
  This supports reliable performance management in AWS.

90. Which AWS services improve application performance?

• CloudWatch: Monitors application health.
• X-Ray: Traces performance bottlenecks.
• ELB: Balances application traffic.
• Auto Scaling: Adjusts resource capacity.
• Grafana: Visualizes performance metrics.
  These services enhance performance. Test in a sandbox environment and monitor with Grafana.

91. Who optimizes AWS application performance in a team?

DevOps engineers optimize AWS application performance, storing scripts in CodeCommit. They monitor with CloudWatch, automate with CloudFormation, monitor with CloudWatch, and visualize with Grafana to ensure efficient performance and prevent bottlenecks in production AWS environments.