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AWS Course Amazon Web Services

AWS Course Amazon Web Service is Amazon.com, Inc’s cloud computing platform. They provide a wide range of paid services, where Amazon allows clients (ranging from individuals to governments) to store, analyze, secure, share, transfer and compute data, all in their cloud storage. Data can vary from Websites to Applications and its importance can power up to highly confidential and so master level skills are very important when one works with Amazon Web Service. AWS also has unique features like EC2 (Elastic Complete Cloud) which is a cluster of virtual computers that the user can access from anywhere and at any time using an internet. SMEClabs offers you a complete training to be a master in AWS.

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AWS CourseS

AWS Certified Solutions Architect Course

Course Code - SLN - 1701 | Eligibility - Any Degree, Diploma, Graduates | Mode - Online / Offline / OnDemand / Hybrid | Duration - 45 Hours
Detailed Syllabus | Enroll Now

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Syllabus for AWS Course

Domain 1: Design Secure Architectures

Task Statement 1: Design secure access to AWS resources. Knowledge of:

Access controls and management across multiple accounts
AWS federated access and identity services (for example, AWS Identity and Access Management [IAM], AWS Single Sign-On [AWS SSO])
AWS global infrastructure (for example, Availability Zones, AWS Regions) AWS security best practices (for example, the principle of least privilege)
Applying AWS security best practices to IAM users and root users (for example, multi-factor authentication [MFA])
Designing a flexible authorization model that includes IAM users, groups, roles, and policies
Designing a role-based access control strategy (for example, AWS Security Token Service [AWS STS], role switching, cross-account access)
Designing a security strategy for multiple AWS accounts (for example, AWS Control Tower, service control policies [SCPs])
Determining the appropriate use of resource policies for AWS services
Determining when to federate a directory service with IAM roles

Task Statement 2: Design secure workloads and applications. Knowledge of:

Application configuration and credentials security
AWS service endpoints
Control ports, protocols, and network traffic on AWS
Secure application access
Security services with appropriate use cases (for example, Amazon Cognito, Amazon GuardDuty, Amazon Macie)
Threat vectors external to AWS (for example, DDoS, SQL injection) Skills in:
Designing VPC architectures with security components (for example, security groups, route tables, network ACLs, NAT gateways)
Determining network segmentation strategies (for example, using public subnets and private subnets)
Integrating AWS services to secure applications (for example, AWS Shield, AWS WAF, AWS SSO, AWS Secrets Manager)
Securing external network connections to and from the AWS Cloud (for example, VPN, AWS Direct Connect)

Task Statement 3: Determine appropriate data security controls. Knowledge of:

Data access and governance
Data recovery
Data retention and classification
Encryption and appropriate key management Skills in:
Aligning AWS technologies to meet compliance requirements
Encrypting data at rest (for example, AWS Key Management Service [AWS KMS])
Encrypting data in transit (for example, AWS Certificate Manager [ACM] using TLS)
Implementing access policies for encryption keys
Implementing data backups and replications
Implementing policies for data access, lifecycle, and protection
Rotating encryption keys and renewing certificates

Domain 2: Design Resilient Architectures

Task Statement 1: Design scalable and loosely coupled architectures. Knowledge of:

API creation and management (for example, Amazon API Gateway, REST API)
AWS managed services with appropriate use cases (for example, AWS Transfer Family, Amazon Simple Queue Service [Amazon SQS], Secrets Manager)
Caching strategies
Design principles for microservices (for example, stateless workloads compared with stateful workloads)
Event-driven architectures
Horizontal scaling and vertical scaling
How to appropriately use edge accelerators (for example, content delivery network [CDN])
How to migrate applications into containers
Load balancing concepts (for example, Application Load Balancer)
Multi-tier architectures
Queuing and messaging concepts (for example, publish/subscribe)
Serverless technologies and patterns (for example, AWS Fargate, AWS Lambda)
Storage types with associated characteristics (for example, object, file, block)
The orchestration of containers (for example, Amazon Elastic Container Service [Amazon ECS], Amazon Elastic Kubernetes Service [Amazon EKS])
When to use read replicas
Workflow orchestration (for example, AWS Step Functions)

Skills in:

Designing event-driven, micro service, and/or multi-tier architectures based on requirements
Determining scaling strategies for components used in an architecture design
Determining the AWS services required to achieve loose coupling based on requirements
Determining when to use containers
Determining when to use serverless technologies and patterns
Recommending appropriate compute, storage, networking, and database technologies based on requirements
Using purpose-built AWS services for workloads

Task Statement 2: Design highly available and/or fault-tolerant architectures. Knowledge of:

AWS global infrastructure (for example, Availability Zones, AWS Regions, Amazon Route 53)
AWS managed services with appropriate use cases (for example, Amazon Comprehend, Amazon Polly)
Basic networking concepts (for example, route tables)
Disaster recovery (DR) strategies (for example, backup and restore, pilot light, warm standby, active- active failover, recovery point objective [RPO], recovery time objective [RTO])
Distributed design patterns
Failover strategies
Immutable infrastructure
Load balancing concepts (for example, Application Load Balancer)
Proxy concepts (for example, Amazon RDS Proxy)
Service quotas and throttling (for example, how to configure the service quotas for a workload in a standby environment)
Storage options and characteristics (for example, durability, replication)
Workload visibility (for example, AWS X-Ray) Skills in:
Determining automation strategies to ensure infrastructure integrity
Determining the AWS services required to provide a highly available and/or fault-tolerant architecture across AWS Regions or Availability Zones
Identifying metrics based on business requirements to deliver a highly available solution
Implementing designs to mitigate single points of failure
Implementing strategies to ensure the durability and availability of data (for example, backups)
Selecting an appropriate DR strategy to meet business requirements
Using AWS services that improve the reliability of legacy applications and applications not built for the cloud (for example, when application changes are not possible)
Using purpose-built AWS services for workloads

Domain 3: Design High-Performing Architectures

Task Statement 1: Determine high-performing and/or scalable storage solutions.

Knowledge of:

Hybrid storage solutions to meet business requirements
Storage services with appropriate use cases (for example, Amazon S3, Amazon Elastic File System [Amazon EFS], Amazon Elastic Block Store [Amazon EBS])
Storage types with associated characteristics (for example, object, file, block) Skills in:
Determining storage services and configurations that meet performance demands
Determining storage services that can scale to accommodate future needs

Task Statement 2: Design high-performing and elastic compute solutions.

Knowledge of:

AWS compute services with appropriate use cases (for example, AWS Batch, Amazon EMR, Fargate)
Distributed computing concepts supported by AWS global infrastructure and edge services
Queuing and messaging concepts (for example, publish/subscribe)
Scalability capabilities with appropriate use cases (for example, Amazon EC2 Auto Scaling, AWS Auto Scaling)
Serverless technologies and patterns (for example, Lambda, Fargate)
The orchestration of containers (for example, Amazon ECS, Amazon EKS) Skills in: Decoupling workloads so that components can scale independently
Identifying metrics and conditions to perform scaling actions
Selecting the appropriate compute options and features (for example, EC2 instance types) to meet business requirements
Selecting the appropriate resource type and size (for example, the amount of Lambda memory) to meet business requirements

Task Statement 3: Determine high-performing database solutions.

Knowledge of:

AWS global infrastructure (for example, Availability Zones, AWS Regions)
Caching strategies and services (for example, Amazon ElastiCache)
Data access patterns (for example, read-intensive compared with write-intensive)
Database capacity planning (for example, capacity units, instance types, Provisioned IOPS)
Database connections and proxies
Database engines with appropriate use cases (for example, heterogeneous migrations, homogeneous migrations)
Database replication (for example, read replicas)
Database types and services (for example, serverless, relational compared with non-relational, in- memory)

Skills in:

Configuring read replicas to meet business requirements
Designing database architectures
Determining an appropriate database engine (for example, MySQL compared with PostgreSQL)
Determining an appropriate database type (for example, Amazon Aurora, Amazon DynamoDB)
Integrating caching to meet business requirements

Task Statement 4: Determine high-performing and/or scalable network architectures. Knowledge of: • Edge networking services with appropriate use cases (for example, Amazon CloudFront, AWS Global Accelerator)

How to design network architecture (for example, subnet tiers, routing, IP addressing)
Load balancing concepts (for example, Application Load Balancer)
Network connection options (for example, AWS VPN, Direct Connect, AWS PrivateLink) Skills in:
Creating a network topology for various architectures (for example, global, hybrid, multi-tier)
Determining network configurations that can scale to accommodate future needs Determining the appropriate placement of resources to meet business requirements
Selecting the appropriate load balancing strategy

Task Statement 5: Determine high-performing data ingestion and transformation solutions.

Knowledge of:

Data analytics and visualization services with appropriate use cases (for example, Amazon Athena, AWS Lake Formation, Amazon Quick Sight)
Data ingestion patterns (for example, frequency)
Data transfer services with appropriate use cases (for example, AWS Data Sync, AWS Storage Gateway)
Data transformation services with appropriate use cases (for example, AWS Glue)
Secure access to ingestion access points
Sizes and speeds needed to meet business requirements
Streaming data services with appropriate use cases (for example, Amazon Kinesis) Skills in:
- Building and securing data lakes
- Designing data streaming architectures
- Designing data transfer solutions
- Implementing visualization strategies
- Selecting appropriate compute options for data processing (for example, Amazon EMR)
- Selecting appropriate configurations for ingestion
- Transforming data between formats (for example, .csv to .parquet)

Knowledge of:

Access options (for example, an S3 bucket with Requester Pays object storage)
AWS cost management service features (for example, cost allocation tags, multi-account billing)
AWS cost management tools with appropriate use cases (for example, AWS Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
AWS storage services with appropriate use cases (for example, Amazon FSx, Amazon EFS, Amazon S3, Amazon EBS)
Backup strategies
Block storage options (for example, hard disk drive [HDD] volume types, solid state drive [SSD] volume types)
Data lifecycles
Hybrid storage options (for example, DataSync, Transfer Family, Storage Gateway)
Storage access patterns
Storage tiering (for example, cold tiering for object storage)
Storage types with associated characteristics (for example, object, file, block)

Knowledge of:

AWS cost management service features (for example, cost allocation tags, multi-account billing)
AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
AWS global infrastructure (for example, Availability Zones, AWS Regions)
AWS purchasing options (for example, Spot Instances, Reserved Instances, Savings Plans)
Distributed compute strategies (for example, edge processing)
Hybrid compute options (for example, AWS Outposts, AWS Snowball Edge)
Instance types, families, and sizes (for example, memory optimized, compute optimized, virtualization)
Optimization of compute utilization (for example, containers, serverless computing, microservices)
Scaling strategies (for example, auto scaling, hibernation)
Configuring appropriate NAT gateway types for a network (for example, a single shared NAT gateway compared with NAT gateways for each Availability Zone)
Configuring appropriate network connections (for example, Direct Connect compared with VPN compared with internet)
Configuring appropriate network routes to minimize network transfer costs (for example, Region to Region, Availability Zone to Availability Zone, private to public, Global Accelerator, VPC endpoints)
Determining strategic needs for content delivery networks (CDNs) and edge caching
Reviewing existing workloads for network optimizations
Selecting an appropriate throttling strategy
Selecting the appropriate bandwidth allocation for a network device (for example, a single VPN compared with multiple VPNs, Direct Connect speed)

IP Services

Configure and verify inside source NAT using static and pools
Configure and verify NTP operating in a client and server mode
Explain the role of DHCP and DNS within the network
Explain the function of SNMP in network operations
Describe the use of syslog features including facilities and levels
Configure and verify DHCP client and relay
Explain the forwarding per-hop behaviour (PHB) for QoS such as classification, marking, queuing, congestion, policing, shaping
Configure network devices for remote access using SSH
Describe the capabilities and function of TFTP/FTP in the network

Security Fundamentals

Define key security concepts (threats, vulnerabilities, exploits, and
mitigation techniques)
Describe security program elements (user awareness, training, and
physical access control)
Configure device access control using local passwords
Describe security password policies elements, such as management, complexity,
and password alternatives (multifactor authentication, certificates, and biometrics)
Describe remote access and site-to-site VPNs
Configure and verify access control lists
Configure Layer 2 security features
(DHCP snooping, dynamic ARP inspection, and port security)
Differentiate authentication, authorization, and accounting concepts
Describe wireless security protocols (WPA, WPA2, and WPA3)
Configure WLAN using WPA2 PSK using the GUI

Automation and Programmability

Explain how automation impacts network management
Compare traditional networks with controller-based networking
Describe controller-based and software defined architectures
(overlay, underlay, and fabric)
1. Separation of control plane and data plane
2. North-bound and south-bound APIs
Compare traditional campus device management with Cisco DNA Center
enabled device management
Describe characteristics of REST-based APIs
(CRUD, HTTP verbs, and data encoding)
Recognize the capabilities of configuration management mechanisms Puppet,
Chef, and Ansible
Interpret JSON encoded data

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