Week 7 Worklog

Week 7 Objectives:

  • Learn and research more about Cloud knowledge
  • Complete MOOCs in Skill Builder to review for Cloud Practitioner Certificate

Tasks to be carried out this week:

DayTaskStart DateCompletion DateReference Material and Learning Notes
2Learn about Domain 1: Cloud Concepts and Identify the benefits of AWS Cloud
- Review 5 characteristics of cloud computing
- Infrastructure
- Distinguish Availability vs Durability vs Resilience
- Distinguish Scaling and Elasticity
- Identify AWS Cloud design principles
- AWS Well-Architected Framework
- General Design Principles
- 6 main pillars		20/10/202520/10/2025Domain 1
3Learn about Domain 1: Cloud Concepts and Identify the benefits of AWS Cloud
- Understand benefits and migration strategies to AWS Cloud
- AWS Cloud Adoption Framework
- Cloud Adoption Stages
- 7 Migration Strategies (The 7 R’s)
- Migration Services & Scenarios
- Understand Billing, Pricing and Support (Cloud Economics, TCO, Reduce Cost, ..)		21/10/202521/10/2025Domain 1
4Learn about Domain 2: Security and Compliance

- 2.1 Understand AWS Shared Responsibility Model (AWS is responsible for, Customer is responsible for, Responsibility CHANGES Based on Service)
- 2.2 Understand AWS Cloud security, governance and compliance concepts (AWS Security, Governance and Compliance)
- 2.3 Identify AWS access management capabilities (root, IAM, Cognito, IAM Policies)
- 2.4 Identify components and resources for security (Security Groups, NACLs, WAF)		22/10/202522/10/2025Domain 2
5Learn about Domain 3: Cloud Technology and Services

- 3.1 Define methods of deploying and operating in AWS Cloud
+ Deploy and Operating methods
+ Types of Cloud today?
+ Compare Public and Private services
+ Connectivity options
- 3.2 Identify AWS global infrastructure
+ Learn about AWS infrastructure
+ Regional edge utilities
+ Edge Services: CloudFront vs Global Accelerator
+ Key concepts about AZ and DR
- 3.3 Identify AWS compute resources
+ Amazon EC2
+ EC2 storage
+ EC2 Instance types
+ EC2 configuration
+ Containers
+ Serverless computing
+ Compare High Availability vs. Scalability
- 3.4 Identify AWS database resources
+ Learn about Amazon RDS
+ Learn about Amazon Aurora
+ Learn about Amazon DynamoDB
+ In-memory databases (Amazon ElastiCache, Amazon DynamoDB Accelerator - DAX)
+ Learn about Amazon RedShift
+ Learn about Database Migration (AWS Snow Family, AWS DMS, AWS DataSync)		23/10/202523/10/2025Domain 3
6Learn about Domain 3: Cloud Technology and Services

- 3.5 Identify AWS network resources
+ Learn about Amazon VPC
+ VPC types
+ VPC core components
+ VPC security
+ VPC Gateways
+ VPC & Hybrid Connectivity
+ DNS & Routing
- 3.6 Identify AWS storage resources
+ Cloud storage types
+ Learn about object storage: Amazon S3
+ Learn about file storage: EFS vs. FSx
+ Block storage: EBS vs Instance Store
+ EBS volume types
+ Hybrid storage: AWS Storage Gateway
+ Learn about Backup
- 3.7 Identify AWS AI and ML services as well as analytics services
+ Learn AI/ML basics
+ 3 levels of AWS ML (AI Services, ML Services, ML Frameworks & Infrastructure)
+ Data analytics services (Amazon Athena, Amazon Macie, Amazon Redshift, Amazon Kinesis, Amazon Glue, Amazon QuickSight, Amazon EMR)
- 3.8 Identify services from other AWS service categories in scope
+ Monitoring & Observability (CloudWatch, X-ray, EventBridge)
+ Learn about application integration services (Amazon SQS, Amazon SNS)
+ Difference between Business and Customer services (Amazon Connect, Amazon SES, AWS Activate, AWS IQ,…)
+ Developer and DevOps tools (AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy,…)
+ End-User Computing (Amazon AppStream 2.0, Amazon WorkSpaces, Amazon WorkSpaces Web)
+ Learn about Frontend Web and Mobile services (AWS Amplify, AWS AppSync)
+ IoT support services (AWS IoT Core, AWS IoT Greengrass)		24/10/202524/10/2025Domain 3

Question & Practice

Week 7 Achievements:

1. Domain 1: Cloud Concepts - Benefits of AWS Cloud

Cloud Computing Basics:

  • Mastered 5 characteristics of cloud computing (On-demand self-service, Broad network access, Resource pooling, Rapid elasticity, Measured service)
  • Understood AWS cloud infrastructure clearly
  • Distinguished concepts clearly:
    • Availability: System is always operational and accessible
    • Durability: Data is protected from loss
    • Resilience: System can recover quickly after incidents
  • Understood the difference between Scaling and Elasticity

AWS Well-Architected Framework:

  • Mastered General Design Principles
  • Understood clearly the 6 main pillars:
    1. Operational Excellence
    2. Security
    3. Reliability
    4. Performance Efficiency
    5. Cost Optimization
    6. Sustainability

Migration to AWS Cloud:

  • Understood AWS Cloud Adoption Framework (CAF) with 6 perspectives
  • Mastered Cloud Adoption Stages
  • Learned 7 migration strategies (7 R’s):
    1. Rehost (Lift and Shift)
    2. Replatform (Lift, Tinker, and Shift)
    3. Repurchase (Drop and Shop)
    4. Refactor/Re-architect
    5. Retire
    6. Retain
    7. Relocate
  • Understood migration services and scenarios

Cloud Economics:

  • Understood Total Cost of Ownership (TCO)
  • Cost reduction methods on AWS
  • AWS billing and pricing models

2. Domain 2: Security and Compliance

AWS Shared Responsibility Model:

  • AWS responsibility (Security OF the Cloud)
  • Customer responsibility (Security IN the Cloud)
  • Responsibility changes based on service type (IaaS, PaaS, SaaS)

Security, Governance & Compliance:

  • AWS basic security concepts
  • Governance and compliance on AWS Cloud
  • Security services and tools

Access Management:

  • AWS Root User and best practices
  • AWS IAM (Identity and Access Management)
  • Amazon Cognito
  • IAM Policies and how they work
  • Least Privilege Principle

Security Components:

  • Security Groups: Instance-level firewall
  • Network ACLs (NACLs): Subnet-level firewall
  • AWS WAF (Web Application Firewall): Web application protection

3. Domain 3: Cloud Technology and Services (Part 1)

3.1 Deployment and Operating Methods:

  • Deployment and operation methods
  • Cloud types: Public, Private, Hybrid
  • Compare Public vs Private services
  • Connectivity options

3.2 AWS Global Infrastructure:

  • AWS global infrastructure structure (Regions, Availability Zones)
  • Regional expansion utilities (Local Zones, Wavelength Zones)
  • Edge Services: CloudFront vs Global Accelerator
  • Concepts of Availability Zones and Disaster Recovery

3.3 AWS Compute Resources:

  • Amazon EC2: Instance types, AMI, configuration
  • EC2 Storage: EBS, Instance Store
  • Containers: ECS, EKS, Fargate
  • Serverless Computing: AWS Lambda
  • Compare High Availability vs Scalability

3.4 AWS Database Resources:

  • Amazon RDS: Managed relational database
  • Amazon Aurora: MySQL/PostgreSQL compatible
  • Amazon DynamoDB: NoSQL database
  • In-Memory Databases: ElastiCache, DynamoDB Accelerator (DAX)
  • Amazon Redshift: Data warehouse
  • Migration Services: AWS Snow Family, AWS DMS, AWS DataSync

4. Domain 3: Cloud Technology and Services (Part 2)

3.5 AWS Network Resources:

  • Amazon VPC and core components:
    • Subnets (Public/Private)
    • Route Tables
    • Internet Gateway
    • NAT Gateway
  • VPC Security: Security Groups, NACLs
  • VPC Gateways: Internet Gateway, NAT Gateway, Virtual Private Gateway
  • VPC & Hybrid Connectivity: VPN, Direct Connect
  • DNS & Routing: Route 53

3.6 AWS Storage Resources:

  • Cloud storage types: Object, Block, File
  • Amazon S3: Object storage, storage classes
  • File Storage: EFS vs FSx
  • Block Storage: EBS vs Instance Store
  • EBS Volume Types: gp2, gp3, io1, io2, st1, sc1
  • AWS Storage Gateway: Hybrid storage
  • Backup Solutions: AWS Backup

3.7 AI/ML and Analytics Services:

  • AI/ML basics
  • 3 levels of AWS ML:
    1. AI Services (Rekognition, Comprehend, etc.)
    2. ML Services (SageMaker)
    3. ML Frameworks & Infrastructure
  • Analytics Services:
    • Amazon Athena: Query S3 data
    • Amazon Macie: Data security
    • Amazon Redshift: Data warehouse
    • Amazon Kinesis: Real-time data streaming
    • Amazon Glue: ETL service
    • Amazon QuickSight: BI tool
    • Amazon EMR: Big data processing

3.8 Other AWS Services:

  • Monitoring & Observability: CloudWatch, X-Ray, EventBridge
  • Application Integration: SQS, SNS
  • Business & Customer Services: Amazon Connect, SES, AWS Activate, AWS IQ
  • Developer & DevOps Tools: CodeCommit, CodeBuild, CodeDeploy, CodePipeline
  • End-User Computing: AppStream 2.0, WorkSpaces, WorkSpaces Web
  • Frontend & Mobile: AWS Amplify, AWS AppSync
  • IoT Services: AWS IoT Core, AWS IoT Greengrass

Summary: Week 7 completed comprehensive learning of 3 main domains for AWS Cloud Practitioner certificate. Mastered basic cloud computing concepts, understood security and compliance on AWS clearly, and became familiar with most important AWS services. Built a solid knowledge foundation to prepare for the certification exam.