AWS Certified Developer - Associate (DVA-C01)
il corso progettato da First Consulting è focalizzato per ruoli Developers e Software Architect che implementino soluzioni tramite il framework e lo Stack tecnologico AWS Cloud Services.
DURATA
min 10 gg Piano Formativo Personalizzabile
ATTESTATI
Attestato di Partecipazione First Consulting
CERTIFICAZIONI
Propedeutico Exam AWS DVA-C01
KEY POINT
AWS Framework
AWS Developer
AWS Cloud Dev ops
Programma
Domain 1: Deployment
Deploy written code in AWS using existing CI/CD pipelines, processes, and patterns.
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Commit code to a repository and invoke build, test and/or deployment actions
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Use labels and branches for version and release management
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Use AWS CodePipeline to orchestrate workflows against different environments
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Apply AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeStar, and AWS CodeDeploy for CI/CD purposes
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Perform a roll back plan based on application deployment policy
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1.2 Deploy applications using AWS Elastic Beanstalk.
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Utilize existing supported environments to define a new application stack
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Package the application
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Introduce a new application version into the Elastic Beanstalk environment
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Utilize a deployment policy to deploy an application version (i.e., all at once, rolling, rolling with batch, immutable)
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Validate application health using Elastic Beanstalk dashboard
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Use Amazon CloudWatch Logs to instrument application logging
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1.3 Prepare the application deployment package to be deployed to AWS.
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Manage the dependencies of the code module (like environment variables, config files and static image files) within the package
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Outline the package/container directory structure and organize files appropriately
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Translate application resource requirements to AWS infrastructure parameters (e.g., memory, cores)
Deploy serverless applications
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Given a use case, implement and launch an AWS Serverless Application Model (AWS SAM) template
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Manage environments in individual AWS services (e.g., Differentiate between Development, Test, and Production in Amazon API Gateway)
Domain 2: Security
Make authenticated calls to AWS services
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Communicate required policy based on least privileges required by application.
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Assume an IAM role to access a service
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Use the software development kit (SDK) credential provider on-premises or in the cloud to access AWS services (local credentials vs. instance roles)
Implement encryption using AWS services.
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Encrypt data at rest (client side; server side; envelope encryption) using AWS services
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Encrypt data in transit
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Implement application authentication and authorization.
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Add user sign-up and sign-in functionality for applications with Amazon Cognito identity or user pools
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Use Amazon Cognito-provided credentials to write code that access AWS services.
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Use Amazon Cognito sync to synchronize user profiles and data
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Use developer-authenticated identities to interact between end user devices, backend authentication, and Amazon Cognito
Domain 3: Development with AWS Services
Write code for serverless applications.
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Compare and contrast server-based vs. serverless model (e.g., micro services, stateless nature of serverless applications, scaling serverless applications, and decoupling layers of serverless applications)
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Configure AWS Lambda functions by defining environment variables and parameters (e.g., memory, time out, runtime, handler)
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Create an API endpoint using Amazon API Gateway
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Create and test appropriate API actions like GET, POST using the API endpoint
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Apply Amazon DynamoDB concepts (e.g., tables, items, and attributes)
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Compute read/write capacity units for Amazon DynamoDB based on application requirements
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Associate an AWS Lambda function with an AWS event source (e.g., Amazon API Gateway, Amazon CloudWatch event, Amazon S3 events, Amazon Kinesis)
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Invoke an AWS Lambda function synchronously and asynchronously
Translate functional requirements into application design.
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Determine real-time vs. batch processing for a given use case
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Determine use of synchronous vs. asynchronous for a given use case
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Determine use of event vs. schedule/poll for a given use case
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Account for tradeoffs for consistency models in an application design
Implement application design into application code.
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Write code to utilize messaging services (e.g., SQS, SNS)
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Use Amazon ElastiCache to create a database cache
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Use Amazon DynamoDB to index objects in Amazon S3
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Write a stateless AWS Lambda function
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Write a web application with stateless web servers (Externalize state)
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Write code that interacts with AWS services by using APIs, SDKs, and AWS CLI
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Choose the appropriate APIs, software development kits (SDKs), and CLI commands for the code components
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Write resilient code that deals with failures or exceptions (i.e., retries with exponential back off and jitter)
Domain 4: Refactoring
Optimize applications to best use AWS services and features.
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Implement AWS caching services to optimize performance (e.g., Amazon ElastiCache, Amazon API Gateway cache)
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Apply an Amazon S3 naming scheme for optimal read performance
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4.2 Migrate existing application code to run on AWS.
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Isolate dependencies
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Run the application as one or more stateless processes
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Develop in order to enable horizontal scalability
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Externalize state
Domain 5: Monitoring and Troubleshooting
Write code that can be monitored.
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Create custom Amazon CloudWatch metrics
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Perform logging in a manner available to systems operators
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Instrument application source code to enable tracing in AWS X-Ray
Perform root cause analysis on faults found in testing or production.
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Interpret the outputs from the logging mechanism in AWS to identify errors in logs
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Check build and testing history in AWS services (e.g., AWS CodeBuild, AWS CodeDeploy, AWS Code Pipeline) to identify issues
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Utilize AWS services (e.g., Amazon CloudWatch, VPC Flow Logs, and AWS X-Ray) to locate a specific faulty component
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