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SAA-C03 Exam Format | SAA-C03 Course Contents | SAA-C03 Course Outline | SAA-C03 Exam Syllabus | SAA-C03 Exam Objectives

Title: AWS Certified Solutions Architect - Associate (SAA-C03)

Test Detail:
The AWS Certified Solutions Architect - Associate (SAA-C03) exam validates the knowledge and skills required to design and deploy scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. This certification is designed for individuals who work as solutions architects and are responsible for designing and implementing AWS-based applications.

Course Outline:
The AWS Certified Solutions Architect - Associate course provides participants with comprehensive knowledge and hands-on experience in designing and deploying applications on AWS. The following is a general outline of the key areas covered in the certification program:

- Design secure access to AWS resources
- Access controls and management across multiple accounts
- AWS federated access and identity services
- AWS Identity and Access Management [IAM]
- AWS IAM Identity Center
- AWS global infrastructure
- Availability Zones
- AWS Regions
- AWS security best practices
- principle of least privilege
- The AWS shared responsibility model
- Applying AWS security best practices to IAM users and root users
- multi-factor authentication [MFA]
- Designing a flexible authorization model
- IAM users
- groups
- roles
- policies
- Designing a role-based access control strategy
- AWS Security Token Service [AWS STS]
- role switching
- cross-account access
- Designing a security strategy for multiple AWS accounts
- 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

- Design secure workloads and applications.
- 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
- Amazon Cognito
- Amazon GuardDuty
- Amazon Macie
- Threat vectors external to AWS
- DDoS
- SQL injection
- Designing VPC architectures with security components
- security groups
- route tables
- network ACLs
- NAT gateways
- Determining network segmentation strategies
- using public subnets
- private subnets
- Integrating AWS services to secure applications
-AWS Shield
- AWS WAF
- IAM Identity Center
- AWS Secrets Manager
- Securing external network connections to and from the AWS Cloud
- VPN
- AWS Direct Connect

- Determine appropriate data security controls
- Data access and governance
- Data recovery
- Data retention and classification
- Encryption and appropriate key management
- Aligning AWS technologies to meet compliance requirements
- Encrypting data at rest
- AWS Key Management Service [AWS KMS]
- Encrypting data in transit
- 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

- Design scalable and loosely coupled architectures
- API creation and management
- Amazon API Gateway
- REST API
- AWS managed services with appropriate use cases
- AWS Transfer Family
- Amazon Simple Queue Service [Amazon SQS]
- Secrets Manager
- Caching strategies
- Design principles for microservices
- stateless workloads compared with stateful workloads
- Event-driven architectures
- Horizontal scaling and vertical scaling
- How to appropriately use edge accelerators
- content delivery network [CDN]
- How to migrate applications into containers
- Load balancing concepts
- Application Load Balancer
- Multi-tier architectures
- Queuing and messaging concepts
- publish/subscribe
- Serverless technologies and patterns
- AWS Fargate
- AWS Lambda

- Storage types with associated characteristics
- object
- file
- block
- The orchestration of containers
- Amazon Elastic Container Service [Amazon ECS]
- Amazon Elastic Kubernetes Service [Amazon EKS])
- When to use read replicas
- Workflow orchestration
- AWS Step Functions
- Designing event-driven
- microservice and 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

- Design highly available and/or fault-tolerant architectures
- AWS global infrastructure
- Availability Zones
- AWS Regions
- Amazon Route 53
- AWS managed services with appropriate use cases
- Amazon Comprehend
- Amazon Polly
- Basic networking concepts
- route tables
- Disaster recovery (DR) strategies
- 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
- Application Load Balancer
- Proxy concepts
- Amazon RDS Proxy

- Service quotas and throttling
- how to configure the service quotas for a workload in a standby environment
- Storage options and characteristics
- durability
- replication
- Workload visibility
- AWS X-Ray
- 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
- 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
- when application changes are not possible
- Using purpose-built AWS services for workloads

- Determine high-performing and/or scalable storage solutions
- Hybrid storage solutions to meet business requirements
- Storage services with appropriate use cases
- Amazon S3
- Amazon Elastic File System [Amazon EFS]
- Amazon Elastic Block Store [Amazon EBS]
- Storage types with associated characteristics
- object
- file
- block
- Determining storage services and configurations that meet performance demands
- Determining storage services that can scale to accommodate future needs

- Design high-performing and elastic compute solutions

- AWS compute services with appropriate use cases
- AWS Batch
- Amazon EMR
- Fargate
- Distributed computing concepts supported by AWS global infrastructure and edge services
- Queuing and messaging concepts
- publish/subscribe
- Scalability capabilities with appropriate use cases
- Amazon EC2 Auto Scaling
- AWS Auto Scaling
- Serverless technologies and patterns
- Lambda
- Fargate
- The orchestration of containers
- Amazon ECS
- Amazon EKS
- 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

- Determine high-performing database solutions

- AWS global infrastructure
- Availability Zones
- AWS Regions
- Caching strategies and services
- Amazon ElastiCache
- Data access patterns
- read-intensive compared with write-intensive
- Database capacity planning
- capacity units
- instance types
- Provisioned IOPS
- Database connections and proxies
- Database engines with appropriate use cases
- heterogeneous migrations
- homogeneous migrations
- Database replication
- read replicas
- Database types and services
- serverless
- relational compared with non-relational
- in-memory
- Configuring read replicas to meet business requirements
- Designing database architectures
- Determining an appropriate database engine
- MySQL compared with PostgreSQL
- Determining an appropriate database type
- Amazon Aurora
- Amazon DynamoDB
- Integrating caching to meet business requirements

- Determine high-performing and/or scalable network architectures

- Edge networking services with appropriate use cases
- Amazon CloudFront
- AWS Global Accelerator
- How to design network architecture
- subnet tiers
- routing, IP addressing
- Load balancing concepts
- Application Load Balancer
- Network connection options
- AWS VPN
- Direct Connect
- AWS PrivateLink
- Creating a network topology for various architectures
- 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

- High-performing data ingestion and transformation solutions

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

- Design cost-optimized storage solutions

- Access options
- an S3 bucket with Requester Pays object storage
- AWS cost management service features
- cost allocation tags
- multi-account billing
- AWS cost management tools with appropriate use cases
- AWS Cost Explorer
- AWS Budgets
- AWS Cost
- Usage Report
- AWS storage services with appropriate use cases
- Amazon FSx
- Amazon EFS
- Amazon S3
- Amazon EBS
- Backup strategies
- Block storage options
- hard disk drive [HDD] volume types
- solid state drive [SSD] volume types
- Data lifecycles
- Hybrid storage options
- DataSync
- Transfer Family
- Storage Gateway
- Storage access patterns
- Storage tiering
- cold tiering for object storage
- Storage types with associated characteristics
- object
- file
- block
- Designing appropriate storage strategies
- batch uploads to Amazon S3 compared with individual uploads
- Determining the correct storage size for a workload
- Determining the lowest cost method of transferring data for a workload to AWS storage
- Determining when storage auto scaling is required
- Managing S3 object lifecycles
- Selecting the appropriate backup and/or archival solution
- Selecting the appropriate service for data migration to storage services
- Selecting the appropriate storage tier
- Selecting the correct data lifecycle for storage
- Selecting the most cost-effective storage service for a workload

- Design cost-optimized compute solutions
- AWS cost management service features
- cost allocation tags
- multi-account billing
- AWS cost management tools with appropriate use cases
- Cost Explorer
- AWS Budgets
- AWS Cost
- Usage Report
- AWS global infrastructure
- Availability Zones
- AWS Regions
- AWS purchasing options
- Spot Instances
- Reserved Instances
- Savings Plans
- Distributed compute strategies
- edge processing
- Hybrid compute options
- AWS Outposts
- AWS Snowball Edge
- Instance types, families, and sizes
- memory optimized
- compute optimized
- virtualization
- Optimization of compute utilization
- containers
- serverless computing
- microservices
- Scaling strategies
- auto scaling
- hibernation
- Determining an appropriate load balancing strategy
- Application Load Balancer [Layer 7] compared with Network Load Balancer [Layer 4] compared with Gateway Load Balancer
- Determining appropriate scaling methods and strategies for elastic workloads
- horizontal compared with vertical
- EC2 hibernation
- Determining cost-effective AWS compute services with appropriate use cases
- Lambda
- Amazon EC2
- Fargate
- Determining the required availability for different classes of workloads
- production workloads
- non-production workloads
- Selecting the appropriate instance family for a workload
- Selecting the appropriate instance size for a workload


- Design cost-optimized database solutions
- AWS cost management service features
- cost allocation tags
- multi-account billing
- AWS cost management tools with appropriate use cases
- Cost Explorer
- AWS Budgets
- AWS Cost and Usage Report
- Caching strategies
- Data retention policies
- Database capacity planning
- capacity units
- Database connections and proxies
- Database engines with appropriate use cases
- heterogeneous migrations
- homogeneous migrations
- Database replication
- read replicas
- Database types and services
- relational compared with non-relational
- Aurora
- DynamoDB

- Designing appropriate backup and retention policies
- snapshot frequency
- Determining an appropriate database engine
- MySQL compared with PostgreSQL
- Determining cost-effective AWS database services with appropriate use cases
- DynamoDB compared with Amazon RDS
- serverless
- Determining cost-effective AWS database types
- time series format
- columnar format
- Migrating database schemas and data to different locations and/or different database engines


- Design cost-optimized database solutions
- AWS cost management service features
- cost allocation tags
- multi-account billing
- AWS cost management tools with appropriate use cases
- Cost Explorer
- AWS Budgets
- AWS Cost and Usage Report
- Load balancing concepts
- Application Load Balancer
- NAT gateways
- NAT instance costs compared with NAT gateway costs
- Network connectivity
- private lines
- dedicated lines
- VPNs
- Network routing, topology, and peering
- AWS Transit Gateway
- VPC peering
- Network services with appropriate use cases
- DNS

- Configuring appropriate NAT gateway types for a network
- a single shared NAT gateway compared with NAT gateways for each Availability Zone
- Configuring appropriate network connections
- Direct Connect compared with VPN compared with internet
- Configuring appropriate network routes to minimize network transfer costs
- 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
- a single VPN compared with multiple VPNs
- Direct Connect speed

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