AWS certification > AWS Certified DevOps Engineer Professional
AWS Certified DevOps Engineer
AWS Certified DevOps Engineer
Professional
| Level | Professional |
|---|---|
| Length | 180 minutes to complete the exam |
| Cost | 300 USD. Visit Exam pricing for additional cost information, including foreign exchange rates. |
| Format | 75 questions, either multiple choice or multiple response |
| Delivery method | Pearson VUE testing center or online proctored exam |
The AWS Certified DevOps Engineer - Professional showcases individuals’ technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform, giving them increased confidence and credibility with peers, stakeholders, and customers. Organizations with these qualified professionals can ensure speedy delivery of secure, compliant, systems that are highly available and scalable.
Course Details
1. Implement CI/CD pipelines
- Software development lifecycle (SDLC) concepts, phases, and models
- Pipeline deployment patterns for single- and multi-account environments
2. Integrate automated testing into CI/CD pipelines
- Different types of tests (for example, unit tests, integration tests, acceptance tests, user interface tests, security scans)
- Reasonable use of different types of tests at different stages of the CI/CD pipeline
3. Build and manage artifacts
- Artifact use cases and secure management
- Methods to create and generate artifacts
- Artifact lifecycle considerations
4. Implement deployment strategies for instance, container, and serverless environments
- Deployment methodologies for various platforms (for example, Amazon EC2, Amazon Elastic Container Service [Amazon ECS], Amazon Elastic Kubernetes Service [Amazon EKS], Lambda)
- Application storage patterns (for example, Amazon Elastic File System [Amazon EFS], Amazon S3, Amazon Elastic Block Store [Amazon EBS])
- Mutable deployment patterns in contrast to immutable deployment patterns
- Tools and services available for distributing code (for example, CodeDeploy, EC2 Image Builder)
5. Define cloud infrastructure and reusable components to provision and manage systems throughout their lifecycle
- Infrastructure as code (IaC) options and tools for AWS
- Change management processes for IaC-based platforms
- Configuration management services and strategies
- AWS account structures, best practices, and related AWS services
- AWS services and solutions to automate tasks and processes
- Methods and strategies to interact with the AWS software-defined infrastructure
6. Implement highly available solutions to meet resilience and business requirements
- Multi-AZ and multi-Region deployments (for example, compute layer, data layer)
- SLAs
- Replication and failover methods for stateful services
- Techniques to achieve high availability (for example, multi-AZ, multi-Region)
7. Implement solutions that are scalable to meet business requirements
- Appropriate metrics for scaling services
- Loosely coupled and distributed architectures
- Serverless architectures
- Container platforms
8. Implement automated recovery processes to meet RTO and RPO requirements.
- Disaster recovery concepts (for example, RTO, RPO)
- Backup and recovery strategies (for example, pilot light, warm standby)
- Recovery procedures
9. Configure the collection, aggregation, and storage of logs and metrics
- How to monitor applications and infrastructure
- Amazon CloudWatch metrics (for example, namespaces, metrics, dimensions, and resolution)
- Real-time log ingestion
- Encryption options for at-rest and in-transit logs and metrics (for example, client-side and server-side, AWS Key Management Service [AWS KMS])
- Security configurations (for example, IAM roles and permissions to allow for log collection)
10. Audit, monitor, and analyze logs and metrics to detect issues
- Anomaly detection alarms (for example, CloudWatch anomaly detection)
- Common CloudWatch metrics and logs (for example, CPU utilization with Amazon EC2, queue length with Amazon RDS, 5xx errors with an Application Load Balancer [ALB])
- Amazon Inspector and common assessment templates
- AWS Config rules
- AWS CloudTrail log events
11. Automate monitoring and event management of complex environments
- Event-driven, asynchronous design patterns (for example, S3 Event Notifications or Amazon EventBridge events to Amazon Simple Notification Service [Amazon SNS] or Lambda)
- Capabilities of auto scaling for a variety of AWS services (for example, EC2 Auto Scaling groups, RDS storage auto scaling, DynamoDB, ECS capacity provider, EKS autoscalers)
- Alert notification and action capabilities (for example, CloudWatch alarms to Amazon SNS, Lambda, EC2 automatic recovery)
- Health check capabilities in AWS services (for example, ALB target groups, Route 53)
12. Manage event sources to process, notify, and take action in response to events
- AWS services that generate, capture, and process events (for example, AWS Health, EventBridge, CloudTrail)
- Event-driven architectures (for example, fan out, event streaming, queuing)
- Fleet management services (for example, Systems Manager, AWS Auto Scaling)
- Configuration management services (for example, AWS Config)
13. Troubleshoot system and application failures.
- AWS metrics and logging services (for example, CloudWatch, X-Ray)
- AWS service health services (for example, AWS Health, CloudWatch, Systems Manager OpsCenter)
- Root cause analysis
14. Implement techniques for identity and access management at scale
- Appropriate usage of different IAM entities for human and machine access (for example, users, groups, roles, identity providers, identity-based policies, resource-based policies, session policies)
- Identity federation techniques (for example, using IAM identity providers and AWS IAM Identity Center [AWS Single Sign-On])
- Permission management delegation by using IAM permissions boundaries
- Organizational SCPs
15. Apply automation for security controls and data protection
- Network security components (for example, security groups, network ACLs, routing, AWS Network Firewall, AWS WAF, AWS Shield)
- Certificates and public key infrastructure (PKI)
- Data management (for example, data classification, encryption, key management, access controls)
16. Implement security monitoring and auditing solutions
- Security auditing services and features (for example, CloudTrail, AWS Config, VPC Flow Logs, CloudFormation drift detection)
- AWS services for identifying security vulnerabilities and events (for example, Guard Duty, Amazon Inspector, IAM Access Analyzer, AWS Config)
- Common cloud security threats (for example, insecure web traffic, exposed AWS access keys, S3 buckets with public access enabled or encryption disabled)
| Fees Structure : | 12500 INR / 150 USD |
| Total No of Class : | 59 Video Class |
| Class Duration : | 41:30 Working Hours |
| Download Feature : | Download Avalable |
| Technical Support : | Call / Whatsapp : +91 8680961847 |
| Working Hours : | Monday to Firday 9 AM to 6 PM |
| Payment Mode : | Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay) |
| Fees Structure : | 22500 INR / 270 USD |
| Class Duration : | 45 Days |
| Class Recording : | Live Class Recording available |
| Class Time : | Monday to Firday 1.5 hours per day / Weekend 3 Hours per day |
| Technical Support : | Call / Whatsapp : +91 8680961847 |
| Working Hours : | Monday to Firday 9 AM to 6 PM |
| Payment Mode : | Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay) |
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