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AWS Certified Developer – Associate
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Course Description
Overview
The AWS Certified Developer – Associate exam is intended for individuals who perform a developer role. The exam validates a candidate’s ability to do the following:- Demonstrate an understanding of core AWS services, uses, and basic AWS architecture best practices
- Demonstrate proficiency in developing, deploying, and debugging cloud-based applications by using AWS
Objectives
Audience
Prerequisites
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Before you take this exam, we recommend you have:
- In-depth knowledge of at least one high-level programming language
- Understanding of core AWS services, uses of the services, and basic AWS architecture best practices, including the AWS Shared Responsibility Model, application lifecycle management, and the use of containers in the development process
- Proficiency in developing, deploying, and debugging cloud-based applications using AWS and writing code for serverless applications
- Ability to identify key features of AWS services and use the AWS service APIs, AWS CLI, and SDKs to write applications
- Ability to apply a basic understanding of cloud-native applications to write code
- Ability to author, maintain, and debug code modules on AWS
- In-depth knowledge of at least one high-level programming language
- Understanding of application lifecycle management
- The ability to write code for serverless applications
- Understanding of the use of containers in the development process
- Use the AWS service APIs, CLI, and software development kits (SDKs) to write applications
- Identify key features of AWS services
- Understand the AWS shared responsibility model
- Use a continuous integration and continuous delivery (CI/CD) pipeline to deploy applications on AWS
- Use and interact with AWS services
- Apply basic understanding of cloud-native applications to write code
- Write code by using AWS security best practices (for example, use IAM roles instead of secret and access keys in the code)
- Author, maintain, and debug code modules on AWS
Topics
- 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
- 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
- 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)
- 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)
- 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)
- Encrypt data at rest (client side; server side; envelope encryption) using AWS services
- Encrypt data in transit
- 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
- 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
- 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
- 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)
- 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)
- 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
- Isolate dependencies
- Run the application as one or more stateless processes
- Develop in order to enable horizontal scalability
- Externalize state
- 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
- 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 CodePipeline) to identify issues
- Utilize AWS services (e.g., Amazon CloudWatch, VPC Flow Logs, and AWS X-Ray) to locate a specific faulty component
Related Courses
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THIS IS A SELF-PACED VIRTUAL CLASS. AFTER YOU REGISTER, YOU HAVE 30 DAYS TO COMPLETE THE COURSE.
Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.
After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. A confirmation email will contain your online link, your ID and password, and additional instructions for starting the course.
You can start the course at any time within 12 months of enrolling for the course. After you register/start the course, you have 30 days to complete your course. Within this 30 days, the self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.
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