The third of the four domains in the AWS Certified Cloud Practitioner Exam (AWS CLF-C02) is “Cloud Technology and Services.” This domain makes up 34% of the scored content.
If you want to follow along with my online course, “AWS Certified Cloud Practitioner (CLF-C02) Cert Prep,” you can access the course here: LinkedIn Learning.
Don’t forget to download my unofficial study guide, as well as AWS’s official study guide!
Cloud Technology and Services
3.1: Define methods of deploying and operating in the AWS Cloud
- Connecting to AWS Cloud: Virtual Private Network (VPN), AWS Direct Connect, Public Internet
- Cloud Deployment Models: Cloud Deployment, Hybrid Deployment, On-Premises Deployment
- Deploy and manage IT infrastructure on AWS: AWS Management Console, Command Line Interface (CLI), Software Development Kits (SDKs)
3.2: Define the AWS global infrastructure
- Availability Zones (AZs): independent AWS data centers
- Regions: 2 or more Availability Zones
- Edge Locations: caches data closest to your customers
- AWS Local Zones: provides extremely low latency to end users when AWS Regions aren’t close enough
- AWS Wavelength Zones: extremely low latency for applications by embedding AWS compute and storage services within 5G networks
- High Availability
- Learn more about the AWS Global Infrastructure: https://aws.amazon.com/about-aws/global-infrastructure/
3.3: Identify AWS compute services
- Amazon Elastic Compute Cloud (Amazon EC2): virtual servers with virtually limitless use cases
- Amazon Elastic Container Service (Amazon ECS): fully-managed container orchestration service
- Amazon Elastic Kubernetes Service (Amazon EKS): fully-managed container service to run Kubernetes
- Elastic Beanstalk: deploy and scale web applications by uploading code
- Elastic Load Balancing: helps applications achieve fault tolerance
- AWS Lambda: event-driven, serverless compute service to run code without provisioning or managing your own servers
- AWS Fargate: serverless compute engine for containers
- Amazon Lightsail: pre-configured websites and applications to help you get your projects up and running with minimal configurations on your end
- Autoscaling provides elasticity
3.4: Identify AWS database services
- Database Services
- Amazon Relational Database Service (Amazon RDS): fully-managed relational database service
- Amazon Aurora: relational database engine managed by Amazon RDS
- Amazon DynamoDB: fully-managed NoSQL database service
- Amazon Memory DB for Redis, Amazon ElastiCache, Amazon DynamoDB Accelerator (DAX): fully-managed in-memory database services
- Database Migration Tools:
- AWS Database Migration Service: migrate your database to AWS’s database services
- AWS Schema Conversion Tool: convert your database into one of the schemas supported by AWS’s managed databases
3.5: Identify AWS network services
- Amazon Virtual Private Cloud (Amazon VPC): isolated virtual network on AWS Cloud for your IT infrastructure
- Amazon CloudFront: Content Delivery Network to help websites and applications load faster
- AWS Global Accelerator: allows customer access requests to take the high-speed AWS global network towards its destination instead of spending time on slower public networks
- Amazon Route 53: DNS service
3.6: Identify AWS storage services
- Amazon Simple Storage Service (Amazon S3): object storage service
- Understand lifecycle policies and storage classes (tendency: less you need to access, less durable, longer retrieval time = cheaper)
- Amazon Elastic Block Store (Amazon EBS): block storage service that acts like unformatted block devices you can mount to your Amazon EC2 instances
- AWS Storage Gateway: connects on-premises storage with AWS’s cloud storage
- AWS Backup: backup service for all your AWS services and hybrid environments
- Three types of storage: object storage, file storage, block storage
3.7: Identify AWS AI/ML services and analytics services
- AI/ML (Artificial Intelligence/Machine Learning) services
- Amazon SageMaker: build, train, and deploy machine learning models
- Amazon Lex: create conversational AI support chatbots (Amazon aLEXa, anyone?)
- Amazon Kendra: utilize machine learning to find answers quickly with intelligent search
- Data Analytics Services
- Amazon Athena: analyze data directly in Amazon S3 using standard SQL
- AWS Glue: integrate data from diverse data sources and prepare them for analytics
- Amazon Kinesis: helps collect, process, and analyze data like audio and video in real-time to derive insights
- Amazon QuickSight: business intelligence service that helps you quickly build visualizations and perform ad hoc analysis on your data with machine learning
3.8: Identify services from other in-scope AWS service categories
- Application integration services: Amazon EventBridge, Amazon Simple Notification Service (Amazon SNS), Amazon Simple Queue Service (Amazon SQS)
- Business application services: Amazon Connect, Amazon Simple Email Service (Amazon SES)
- Customer engagement services: AWS Activate for Startups, AWS IQ, AWS Managed Services (AMS), AWS Support
- Developer tool services and capabilities: AWS AppConfig, AWS Cloud9, AWS CloudShell, AWS CodeArtifact, AWS CodeBuild, AWS CodeCommit, AWS CodeDeploy, AWS CodePipeline, AWS CodeStar, AWS X-Ray
- End user computing services: Amazon AppStream 2.0, Amazon WorkSpaces, Amazon WorkSpaces Web
- Frontend web and mobile services: AWS Amplify, AWS AppSync
- IoT services: AWS IoT Core, AWS IoT Greengrass
Next Domain: Billing, Pricing, and Support
Go back to AWS CLF-C02 Exam Guide
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