The ever-expanding world of cloud computing has created a surge in demand for skilled professionals who can design, deploy, and manage cloud solutions. In this landscape, the AWS Certified Solutions Architect – Associate (SAA-C03) certification stands out as a prominent credential that validates your expertise on Amazon Web Services (AWS).
Why is the AWS Certified Solutions Architect – Associate Important?
Earning the AWS Solutions Architect Associate certification demonstrates your competence in building secure, reliable, and cost-effective solutions on the AWS platform. Here’s a closer look at the benefits:
- Validation of Skills: The certification process objectively assesses your understanding of core AWS services, security best practices, and the AWS Well-Architected Framework. This validation holds significant weight with potential employers and clients seeking qualified cloud professionals.
- Career Advancement: The AWS Solutions Architect Associate certification is a stepping stone to a flourishing career in cloud computing. It opens doors to a wider range of job opportunities and potentially higher earning potential.
- Enhanced Credibility: Holding this certification signifies your commitment to staying current in the fast-paced world of cloud technologies. It strengthens your credibility and positions you as a valuable asset within your organization.
Who Should Pursue the AWS Certified Solutions Architect – Associate Certification?
This certification is a valuable asset for a variety of IT professionals, including:
- Cloud Architects: Those designing and implementing cloud architectures on AWS will find the certification strengthens their foundational knowledge.
- Cloud Engineers: AWS Solutions Architect Associate certification validates an engineer’s ability to deploy and manage AWS solutions.
- System Administrators: System administrators transitioning to the cloud can leverage this certification to demonstrate their cloud expertise.
- Anyone Looking to Enter the Cloud Computing Field: Professionals seeking a career shift into cloud computing will find the AWS Solutions Architect Associate a comprehensive springboard.
The AWS Certified Solutions Architect – Associate certification is a valuable credential for IT professionals seeking to validate their cloud computing skills on the AWS platform. It opens doors to career advancement, enhances credibility, and positions you for success in the ever-growing cloud landscape. If you’re looking to propel your cloud career forward, the AWS Solutions Architect Associate certification is an investment worth considering.
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Design Secure Architectures (30% of scored content)
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Design secure access to AWS resources.
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Access controls and management across multiple accounts
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AWS federated access and identity services (for example, AWS Identity and Access Management [IAM], AWS IAM Identity Center [AWS Single Sign-On])
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AWS global infrastructure (for example, Availability Zones, AWS Regions)
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AWS security best practices (for example, the principle of least privilege)
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The AWS shared responsibility model
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Access controls and management across multiple accounts
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Design secure workloads and applications.
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Application configuration and credentials security
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AWS service endpoints
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Control ports, protocols, and network traffic on AWS
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Secure application access
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Security services with appropriate use cases (for example, Amazon Cognito, Amazon GuardDuty, Amazon Macie)
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Threat vectors external to AWS (for example, DDoS, SQL injection)
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Application configuration and credentials security
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Determine appropriate data security controls.
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Design Resilient Architectures (26% of scored content)
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Design scalable and loosely coupled architectures.
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API creation and management (for example, Amazon API Gateway, REST API)
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AWS managed services with appropriate use cases (for example, AWS Transfer Family, Amazon Simple Queue Service [Amazon SQS], Secrets Manager)
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Caching strategies
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Design principles for microservices (for example, stateless workloads compared with stateful workloads)
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Event-driven architectures
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Horizontal scaling and vertical scaling
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How to appropriately use edge accelerators (for example, content delivery network [CDN])
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How to migrate applications into containers
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Load balancing concepts (for example, Application Load Balancer)
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Multi-tier architectures
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Queuing and messaging concepts (for example, publish/subscribe)
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Serverless technologies and patterns (for example, AWS Fargate, AWS Lambda)
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Storage types with associated characteristics (for example, object, file, block)
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The orchestration of containers (for example, Amazon Elastic Container Service [Amazon ECS], Amazon Elastic Kubernetes Service [Amazon EKS])
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When to use read replicas
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Workflow orchestration (for example, AWS Step Functions)
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API creation and management (for example, Amazon API Gateway, REST API)
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Design highly available and/or faulttolerant architectures.
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AWS global infrastructure (for example, Availability Zones, AWS Regions, Amazon Route 53)
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AWS managed services with appropriate use cases (for example, Amazon Comprehend, Amazon Polly)
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Basic networking concepts (for example, route tables)
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Disaster recovery (DR) strategies (for example, backup and restore, pilot light, warm standby, active-active failover, recovery point objective [RPO], recovery time objective [RTO])
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Distributed design patterns
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Failover strategies
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Immutable infrastructure
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Load balancing concepts (for example, Application Load Balancer)
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Proxy concepts (for example, Amazon RDS Proxy)
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Service quotas and throttling (for example, how to configure the service quotas for a workload in a standby environment)
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Storage options and characteristics (for example, durability, replication)
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Workload visibility (for example, AWS X-Ray)
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AWS global infrastructure (for example, Availability Zones, AWS Regions, Amazon Route 53)
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Design HighPerforming Architectures (24% of scored content)
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Determine highperforming and/or scalable storage solutions.
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Design highperforming and elastic compute solutions.
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AWS compute services with appropriate use cases (for example, AWS Batch, Amazon EMR, Fargate)
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Distributed computing concepts supported by AWS global infrastructure and edge services
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Queuing and messaging concepts (for example, publish/subscribe)
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Scalability capabilities with appropriate use cases (for example, Amazon EC2 Auto Scaling, AWS Auto Scaling)
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Serverless technologies and patterns (for example, Lambda, Fargate)
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The orchestration of containers (for example, Amazon ECS, Amazon EKS)
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AWS compute services with appropriate use cases (for example, AWS Batch, Amazon EMR, Fargate)
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Determine highperforming database solutions.
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AWS global infrastructure (for example, Availability Zones, AWS Regions)
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Caching strategies and services (for example, Amazon ElastiCache)
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Data access patterns (for example, read-intensive compared with writeintensive)
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Database capacity planning (for example, capacity units, instance types, Provisioned IOPS)
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Database connections and proxies
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Database engines with appropriate use cases (for example, heterogeneous migrations, homogeneous migrations)
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Database replication (for example, read replicas)
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Database types and services (for example, serverless, relational compared with non-relational, in-memory)
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AWS global infrastructure (for example, Availability Zones, AWS Regions)
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Determine highperforming and/or scalable network architectures.
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Edge networking services with appropriate use cases (for example, Amazon CloudFront, AWS Global Accelerator)
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How to design network architecture (for example, subnet tiers, routing, IP addressing)
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Load balancing concepts (for example, Application Load Balancer)
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Network connection options (for example, AWS VPN, Direct Connect, AWS PrivateLink)
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Edge networking services with appropriate use cases (for example, Amazon CloudFront, AWS Global Accelerator)
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Determine highperforming data ingestion and transformation solutions.
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Data analytics and visualization services with appropriate use cases (for example, Amazon Athena, AWS Lake Formation, Amazon QuickSight)
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Data ingestion patterns (for example, frequency)
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Data transfer services with appropriate use cases (for example, AWS DataSync, AWS Storage Gateway)
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Data transformation services with appropriate use cases (for example, AWS Glue)
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Secure access to ingestion access points
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Sizes and speeds needed to meet business requirements
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Streaming data services with appropriate use cases (for example, Amazon Kinesis)
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Data analytics and visualization services with appropriate use cases (for example, Amazon Athena, AWS Lake Formation, Amazon QuickSight)
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Design CostOptimized Architectures (20% of scored content)
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Design costoptimized storage solutions.
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Access options (for example, an S3 bucket with Requester Pays object storage)
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AWS cost management service features (for example, cost allocation tags, multi-account billing)
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AWS cost management tools with appropriate use cases (for example, AWS Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
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AWS storage services with appropriate use cases (for example, Amazon FSx, Amazon EFS, Amazon S3, Amazon EBS)
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Backup strategies
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Block storage options (for example, hard disk drive [HDD] volume types, solid state drive [SSD] volume types)
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Data lifecycles
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Hybrid storage options (for example, DataSync, Transfer Family, Storage Gateway)
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Storage access patterns
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Storage tiering (for example, cold tiering for object storage)
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Storage types with associated characteristics (for example, object, file, block)
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Access options (for example, an S3 bucket with Requester Pays object storage)
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Design costoptimized compute solutions.
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AWS cost management service features (for example, cost allocation tags, multi-account billing)
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AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
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AWS global infrastructure (for example, Availability Zones, AWS Regions)
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AWS purchasing options (for example, Spot Instances, Reserved Instances, Savings Plans)
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Distributed compute strategies (for example, edge processing)
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Hybrid compute options (for example, AWS Outposts, AWS Snowball Edge)
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Instance types, families, and sizes (for example, memory optimized, compute optimized, virtualization)
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Optimization of compute utilization (for example, containers, serverless computing, microservices)
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Scaling strategies (for example, auto scaling, hibernation)
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AWS cost management service features (for example, cost allocation tags, multi-account billing)
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Design costoptimized database solutions.
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AWS cost management service features (for example, cost allocation tags, multi-account billing)
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AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
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Caching strategies
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Data retention policies
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Database capacity planning (for example, capacity units)
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Database connections and proxies
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Database engines with appropriate use cases (for example, heterogeneous migrations, homogeneous migrations)
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Database replication (for example, read replicas)
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Database types and services (for example, relational compared with nonrelational, Aurora, DynamoDB)
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AWS cost management service features (for example, cost allocation tags, multi-account billing)
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Design costoptimized network architectures.
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AWS cost management service features (for example, cost allocation tags, multi-account billing)
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AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
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Load balancing concepts (for example, Application Load Balancer)
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NAT gateways (for example, NAT instance costs compared with NAT gateway costs)
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Network connectivity (for example, private lines, dedicated lines, VPNs)
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Network routing, topology, and peering (for example, AWS Transit Gateway, VPC peering)
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Network services with appropriate use cases (for example, DNS)
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AWS cost management service features (for example, cost allocation tags, multi-account billing)
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