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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.

  • Commit code to a repository and invoke build, test and/or deployment actions

  • Use labels and branches for version and release management

  • Use AWS CodePipeline to orchestrate workflows against different environments

  • Apply AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeStar, and AWS CodeDeploy for CI/CD purposes

  • Perform a roll back plan based on application deployment policy

  • 1.2 Deploy applications using AWS Elastic Beanstalk.

  • Utilize existing supported environments to define a new application stack

  • Package the application

  • Introduce a new application version into the Elastic Beanstalk environment

  • Utilize a deployment policy to deploy an application version (i.e., all at once, rolling, rolling with batch, immutable)

  • Validate application health using Elastic Beanstalk dashboard

  • Use Amazon CloudWatch Logs to instrument application logging

  • 1.3 Prepare the application deployment package to be deployed to AWS.

  • Manage the dependencies of the code module (like environment variables, config files and static image files) within the package

  • Outline the package/container directory structure and organize files appropriately

  • Translate application resource requirements to AWS infrastructure parameters (e.g., memory, cores)

 

Deploy serverless applications

  • Given a use case, implement and launch an AWS Serverless Application Model (AWS SAM) template

  • 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

  • Communicate required policy based on least privileges required by application.

  • Assume an IAM role to access a service

  • 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.

  • Encrypt data at rest (client side; server side; envelope encryption) using AWS services

  • Encrypt data in transit

  • Implement application authentication and authorization.

  • Add user sign-up and sign-in functionality for applications with Amazon Cognito identity or user pools

  • Use Amazon Cognito-provided credentials to write code that access AWS services.

  • Use Amazon Cognito sync to synchronize user profiles and data

  • 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.

  • 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)

  • Configure AWS Lambda functions by defining environment variables and parameters (e.g., memory, time out, runtime, handler)

  • Create an API endpoint using Amazon API Gateway

  • Create and test appropriate API actions like GET, POST using the API endpoint

  • Apply Amazon DynamoDB concepts (e.g., tables, items, and attributes)

  • Compute read/write capacity units for Amazon DynamoDB based on application requirements

  • Associate an AWS Lambda function with an AWS event source (e.g., Amazon API Gateway, Amazon CloudWatch event, Amazon S3 events, Amazon Kinesis)

  • Invoke an AWS Lambda function synchronously and asynchronously

Translate functional requirements into application design.

  • Determine real-time vs. batch processing for a given use case

  • Determine use of synchronous vs. asynchronous for a given use case

  • Determine use of event vs. schedule/poll for a given use case

  • Account for tradeoffs for consistency models in an application design

 

Implement application design into application code.

  • Write code to utilize messaging services (e.g., SQS, SNS)

  • Use Amazon ElastiCache to create a database cache

  • Use Amazon DynamoDB to index objects in Amazon S3

  • Write a stateless AWS Lambda function

  • Write a web application with stateless web servers (Externalize state)

Write code that interacts with AWS services by using APIs, SDKs, and AWS CLI

  • Choose the appropriate APIs, software development kits (SDKs), and CLI commands for the code components

  • 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.

  • Implement AWS caching services to optimize performance (e.g., Amazon ElastiCache, Amazon API Gateway cache)

  • Apply an Amazon S3 naming scheme for optimal read performance

  • 4.2 Migrate existing application code to run on AWS.

  • Isolate dependencies

  • Run the application as one or more stateless processes

  • Develop in order to enable horizontal scalability

  • Externalize state

 

Domain 5: Monitoring and Troubleshooting

Write code that can be monitored.

  • Create custom Amazon CloudWatch metrics

  • Perform logging in a manner available to systems operators

  • Instrument application source code to enable tracing in AWS X-Ray

 

Perform root cause analysis on faults found in testing or production.

  • Interpret the outputs from the logging mechanism in AWS to identify errors in logs

  • Check build and testing history in AWS services (e.g., AWS CodeBuild, AWS CodeDeploy, AWS Code Pipeline) to identify issues

  • Utilize AWS services (e.g., Amazon CloudWatch, VPC Flow Logs, and AWS X-Ray) to locate a specific faulty component

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