Before you proceed This is a raw, unadulterated, bullet‑point version of my study notes, I created following the ThinkCloudy AWS Solutions Architect curriculum and supplemented with specific YouTube tutorials referenced below.

For full description and detailed version, you can find it here

AWS Solutions Architect Certification – Consolidated Study Notes

Once again, these documents are currently incomplete as I am actively consolidating and adding more content as I progress through my studies.

Thank you for your undestanding ..

🎥 Primary Reference Video:

ENTIRE AWS SOLUTION ARCHITECT ASSOCIATE CERTIFICATION IN 1 HOUR!

Above is a video, I would used to structure and validate core concepts and service attributes. I would type them out, then feed it to AI for enhancements and Aesthetics

Introduction

Purpose: Overview of AWS Solution Architect Certification

• Objective: what you’ll learn
• Audience: Who this presentation is for
• Certification Levels: Associate, Professional
• Pre-requisites: Basic understancing ot cloud computing
• Skills Covered: Design, deploy, and maintain AWS applications.
• Benefits: Career growth, expertise in AWS
• Exam Format: Multiple Choice, multiple answers
• Passing Score: 720 out of 1000

Objectives

• Overview of AWS Global Infrastructure
• Core AWS Services: Compute, Storage, Database, Networking
• Security and Identity Management (IAM)
• AWS Management and Monitoring Tools
• Exam Preparation and Study Tips.
• Hands-on Labs and real-world Scenarios
• Cost management and optimization
• Common exam questions and strategies
• Additional resources and further learning
• Q&A Session

AWS Global infrastructure

• Regions: Geographically separate locations
• Availability Zones: Isolated location within regions
• Edge Locations: Content delivery endpoints
• Global Network: High availability, fault tolerance
• Interconnectivity: Low-latency network backbone
• Data residency: compliance with local regulations
• Resiliency: disaster recovery, fault tolerance
• Scalability: handle large traffic volumes
• Latency: Reduce latency with global presence

AWS Core Services Overview

• Compute: EC2, Lambda, Elastic Beanstalk
• Storage: S3, EBS, Glacier, Storage Gateway
• Database: RDS, DynamoDB, Redshift, Aurora
• Networking: VPC, Route 53, CloudFront, Direct Connect
• Security: IAM, KMS, Shield, WAF
• Management Tools: CloudFormation, CloudWatch, CloudTrail
• Developer Tools: CodeCommit CodeBuild, CodeDeploy
• Machine Learning: SageMaker, Rekognition, Comprehend
• Analytics: Athena, EMR, QuickSight
• IoT: IoT Core, Greengrass

Amason EC2

• Virtual servers in the cloud: EC2 instances

• Flexible compute capacity: Scale up/down vs scale in/out as needed

• Instance types: a variety for different workloads

• Pricing models: on demand, reserved, spot, savings plans

• Key features: elastic IPs, auto scaling, load balancing

• Security: key pairs, security groups

• Monitoring: CloudWatch for metrics and logs

• Networking: vpc

• Storage options: EBS, instance store

  EC2 instance types

  • General purpose: balance of compute, memory, and networking
  • Compute optimiszed : high-performance processors
  • Memority optiminized: large memory workloads
  • Storage optiminzed: high i/o for databases
  • Accelerated computing: GPUs for machine learning
  • Instances families: T2, T3 M5, C5, R5, P3, G4
  • Specialized instances: high memory, high storage
  • Use cases: web servers, databases, big data
  • Auto scaling: dynamic resource allocation.

Amazon S3

• Object storage service: store and retrieve any amount of data

• Scalable and durable: 99.999999999999999% durability

• Multiple storage classes: cost-efficient options

• Use case: backup, data lakes, big data analytics

• Security: Access control, encryption, versioning

• Lifecycle policies: manage storage costs over time

• Data transfer: transfer acceleration, snowball, direct connect

• Integration: works with other AWS services

• Compliance: HIPAA, PCI-GDPR

  S3 Storage classes

  • Standard: frequent Access to data
  • standard-IA: infrequent access with lower cost
  • One zone-IA: single availability zone
  • Intelligent-taring: Automatic cost savings
  • Glacier deep archive: lowest cost for long-term archiving
  • use-cases: data lakes, archives, backup and restore
  • Cost management: optimize storage costs with lifecycle policies
  • Durability and Availability: high durability, varying availability

Amazon RDS

• Managed relational databases: automated setup, scaling, and patching.
• Multiply db engines: MySQL, PostgreSQL, MariaDB, Oracle, Microsoft SQL Server, - Amazon Aurora
• Automated backups: point-in-time recovery
• Multi-az deployment: enhance availability and durability