# Content Domain 3: Cloud Technology and Services
Domain 3 covers Cloud Technology and Services and represents 34% of the scored content on the exam.
**Topics**
+ [Task Statement 3.1: Define methods of deploying and operating in the AWS Cloud.](#cloud-practitioner-02-task3.1)
+ [Task Statement 3.2: Define the AWS global infrastructure.](#cloud-practitioner-02-task3.2)
+ [Task Statement 3.3: Identify AWS compute services.](#cloud-practitioner-02-task3.3)
+ [Task Statement 3.4: Identify AWS database services.](#cloud-practitioner-02-task3.4)
+ [Task Statement 3.5: Identify AWS network services.](#cloud-practitioner-02-task3.5)
+ [Task Statement 3.6: Identify AWS storage services.](#cloud-practitioner-02-task3.6)
+ [Task Statement 3.7: Identify AWS artificial intelligence and machine learning (AI/ML) services and analytics services.](#cloud-practitioner-02-task3.7)
+ [Task Statement 3.8: Identify services from other in-scope AWS service categories.](#cloud-practitioner-02-task3.8)
## Task Statement 3.1: Define methods of deploying and operating in the AWS Cloud.
Knowledge of:
+ Various ways of provisioning and operating in the AWS Cloud
+ Various ways to access AWS services
+ Types of cloud deployment models
Skills in:
+ Deciding between options such as programmatic access (for example, APIs, SDKs, CLI), the AWS Management Console, and infrastructure as code (IaC)
+ Evaluating requirements to determine whether to use one-time operations or repeatable processes
+ Identifying deployment models (for example, cloud, hybrid, on-premises)
## Task Statement 3.2: Define the AWS global infrastructure.
Knowledge of:
+ AWS Regions, Availability Zones, and edge locations
+ High availability
+ Use of multiple Regions
+ Benefits of edge locations
Skills in:
+ Describing relationships among Regions, Availability Zones, and edge locations
+ Describing how to achieve high availability by using multiple Availability Zones
+ Recognizing that Availability Zones do not share single points of failure
+ Describing when to use multiple Regions (for example, disaster recovery, business continuity, low latency for end users, data sovereignty)
## Task Statement 3.3: Identify AWS compute services.
Knowledge of:
+ AWS compute services
Skills in:
+ Recognizing the appropriate use of various Amazon EC2 instance types (for example, compute optimized, storage optimized)
+ Recognizing the appropriate use of various container options (for example, Amazon Elastic Container Service [Amazon ECS], Amazon Elastic Kubernetes Service [Amazon EKS])
+ Recognizing the appropriate use of various serverless compute options (for example, AWS Fargate, AWS Lambda)
+ Recognizing that auto scaling provides elasticity
+ Identifying the purposes of load balancers
## Task Statement 3.4: Identify AWS database services.
Knowledge of:
+ AWS database services
+ Database migration
Skills in:
+ Deciding when to use EC2 hosted databases or AWS managed databases
+ Identifying relational databases (for example, Amazon RDS, Amazon Aurora)
+ Identifying NoSQL databases (for example, Amazon DynamoDB)
+ Identifying memory-based databases (for example, Amazon ElastiCache)
+ Identifying database migration tools (for example AWS Database Migration Service [AWS DMS], AWS Schema Conversion Tool [AWS SCT])
## Task Statement 3.5: Identify AWS network services.
Knowledge of:
+ AWS network services
Skills in:
+ Identifying the components of a VPC (for example, subnets, gateways)
+ Understanding security in a VPC (for example, network ACLs, security groups, Amazon Inspector)
+ Understanding the purpose of Amazon Route 53
+ Identifying network connectivity options to AWS (for example AWS VPN, AWS Direct Connect)
## Task Statement 3.6: Identify AWS storage services.
Knowledge of:
+ AWS storage services
Skills in:
+ Identifying the uses for object storage
+ Recognizing the differences in Amazon S3 storage classes
+ Identifying block storage solutions (for example, Amazon Elastic Block Store [Amazon EBS], instance store)
+ Identifying file services (for example, Amazon Elastic File System [Amazon EFS], Amazon FSx)
+ Identifying cached file systems (for example, AWS Storage Gateway)
+ Understanding use cases for lifecycle policies
+ Understanding use cases for AWS Backup
## Task Statement 3.7: Identify AWS artificial intelligence and machine learning (AI/ML) services and analytics services.
Knowledge of:
+ AWS AI/ML services
+ AWS analytics services
Skills in:
+ Understanding AI/ML services and the tasks that they accomplish (for example, Amazon SageMaker AI, Amazon Lex, Amazon Kendra)
+ Identifying the services for data analytics (for example, Amazon Athena, Amazon Kinesis, AWS Glue, Amazon QuickSight)
## Task Statement 3.8: Identify services from other in-scope AWS service categories.
Knowledge of:
+ Application integration services of Amazon EventBridge, Amazon Simple Notification Service (Amazon SNS), and Amazon Simple Queue Service (Amazon SQS)
+ Business application services of Amazon Connect and Amazon Simple Email Service (Amazon SES)
+ Customer enablement services (for example, AWS Support)
+ Developer tool services and capabilities (for example, AWS CodeBuild, AWS CodePipeline, and AWS X-Ray)
+ End-user computing services of Amazon AppStream 2.0, Amazon WorkSpaces, and Amazon WorkSpaces Secure Browser
+ Frontend web and mobile services of AWS Amplify and AWS AppSync
+ IoT services (for example, AWS IoT Core)
Skills in:
+ Choosing the appropriate service to deliver messages and to send alerts and notifications
+ Choosing the appropriate service to meet business application needs
+ Choosing the appropriate option for business support assistance
+ Identifying the tools to develop, deploy, and troubleshoot applications
+ Identifying the services that can present the output of virtual machines (VMs) on end-user machines
+ Identifying the services that can create and deploy frontend and mobile services
+ Identifying the services that manage IoT devices