Comprehensive Guide To AWS Developer – Associate Certification: Core Topics

This comprehensive guide serves as an invaluable resource for individuals pursuing the coveted AWS Developer – Associate certification. The articles contained within provide a wealth of information on the core topics and concepts outlined in the certification’s syllabus. Designed with exam readiness in mind, each article explores specific AWS services and development tools, offering practical insights, examples, and best practices crucial for aspiring AWS developers. By bridging theoretical knowledge with real-world scenarios, this guide equips readers with the necessary skills to develop and deploy applications on AWS, ensuring relevance beyond the certification exam.

Introduction to AWS

Overview of AWS

Amazon Web Services (AWS) is a cloud computing platform offered by Amazon. It provides a wide range of services and tools that allow businesses and individuals to build secure and scalable applications. With AWS, you can access computing power, storage, databases, and more, all over the internet. These services are designed to be flexible, cost-effective, and highly available.

AWS offers a comprehensive suite of over 200 services, including compute, storage, databases, networking, machine learning, and analytics. Some of the most popular services include Amazon EC2, Amazon S3, AWS Lambda, and Amazon DynamoDB. These services can be used individually or in combination to meet the unique needs of your applications.

Benefits of AWS

There are several key benefits to using AWS for your application development and deployment needs:

1. Scalability: AWS allows you to scale your resources up or down based on demand. This means that you can easily handle traffic spikes or periods of increased workload without the need to invest in additional infrastructure.

2. Cost-Effectiveness: AWS offers a pay-as-you-go pricing model, which means you only pay for the resources you use. This eliminates the need for upfront capital investments and allows you to reduce costs by only paying for what you need.

3. Security: AWS provides a secure infrastructure with built-in security features. It offers encryption, network isolation, and access controls to protect your data and applications. AWS is also compliant with various industry standards and regulations, making it suitable for use in highly regulated industries.

4. Global Infrastructure: With AWS, you can deploy your applications in multiple regions around the world. This allows you to provide low-latency access to your users and ensures high availability of your applications. AWS has data centers located in various geographical locations, giving you the flexibility to choose the best region for your needs.

5. Integration and Compatibility: AWS integrates well with other Amazon services and third-party tools. It offers APIs and SDKs in multiple programming languages, making it easy to integrate AWS services into your existing applications. AWS also supports popular development frameworks, making it compatible with a wide range of software.

AWS Global Infrastructure

AWS has a global infrastructure that consists of regions, availability zones, and edge locations. Regions are geographic areas where AWS resources are located. Each region is a separate entity with its own infrastructure and is designed to be isolated from other regions. AWS currently has over 25 regions worldwide, allowing you to deploy your applications closer to your users.

Within each region, there are multiple availability zones (AZs). Availability zones are separate data centers within a region that are isolated from each other. They are designed to provide redundancy and fault tolerance. Deploying your applications across multiple availability zones ensures high availability and resilience.

Edge locations are distributed points of presence that are used for content delivery and caching. They are located in major cities around the world and are used to accelerate the delivery of content to end-users. Edge locations are interconnected with AWS regions through a high-speed network.

The global infrastructure provided by AWS allows you to deploy your applications in a highly available and scalable manner. By leveraging the distributed nature of AWS, you can ensure that your applications are accessible to users worldwide with low latency.

IAM – Identity and Access Management

Managing IAM users and groups

IAM (Identity and Access Management) is a service provided by AWS that enables you to manage access to AWS resources securely. With IAM, you can create and manage users, groups, and permissions to control who can access which resources in your AWS account.

IAM users are entities that you create in your AWS account and can be used to represent individuals, systems, or applications. Each IAM user has a unique username and can have associated credentials (such as a password or access keys) that are used for authentication.

IAM groups are collections of IAM users. By creating groups and assigning permissions to them, you can manage access to resources in a more organized and efficient manner. Instead of assigning permissions to individual users, you can assign them to groups, and users added to those groups automatically inherit the assigned permissions.

IAM allows you to define fine-grained permissions using policies. Policies are JSON documents that define what actions are allowed or denied on resources. You can attach policies to users, groups, or roles to control their permissions.

IAM Roles

IAM roles are similar to users, but they are not associated with a specific user or group. Instead, they are assumed by entities such as EC2 instances, Lambda functions, or applications running on Amazon ECS. IAM roles allow you to grant permissions to these entities without the need to embed long-term credentials in your code or configuration files.

IAM roles can have policies attached to them, defining what actions are allowed or denied when the role is assumed. They can also be used to establish trust relationships with other AWS accounts, allowing entities in those accounts to assume the role and access your AWS resources.

IAM roles provide a secure and flexible way to manage permissions for entities that require access to AWS resources. By using roles, you can ensure that your applications and services have the appropriate level of access without compromising security.

IAM Policies

IAM policies are JSON documents that define what actions are allowed or denied on AWS resources. Policies can be attached to IAM users, groups, or roles to control their permissions. Each policy has a set of statements, and each statement specifies a set of conditions that must be met for the policy to take effect.

IAM policies use the principle of least privilege, which means that users, groups, or roles should only have the permissions necessary to perform their intended tasks. By using restrictive policies, you can minimize the risk of unauthorized access to your AWS resources.

IAM policies are flexible and can be customized to meet your specific requirements. They allow you to specify the resources, actions, and conditions that are allowed or denied. You can also use variables and wildcards to define more generic policies that apply to multiple resources or actions.

IAM provides a powerful and granular way to manage access to your AWS resources. By properly configuring IAM users, groups, and policies, you can ensure that only authorized entities have access to your resources, improving the security of your applications.

EC2 – Elastic Compute Cloud

EC2 Instances

EC2 (Elastic Compute Cloud) is a service provided by AWS that allows you to provision virtual machines, known as instances, in the cloud. EC2 instances are highly scalable and can be launched, stopped, and terminated as needed. They provide the computing power required to run your applications.

When launching an EC2 instance, you can choose from a wide range of instance types, each offering different combinations of CPU, memory, storage, and networking capacity. This allows you to select the instance type that best matches the needs of your application. You can also configure additional parameters, such as the operating system, storage type, and network settings.

EC2 instances are billed based on the duration they are running and the resources they consume. You can choose to pay for instances on-demand, or you can opt for reserved instances or spot instances, which offer cost savings for long-term or flexible workloads.

Security Groups

Security groups are virtual firewalls that control inbound and outbound traffic for your EC2 instances. They act as a virtual network boundary and allow you to define rules that permit or deny traffic based on protocols, ports, and IP addresses.

When launching an EC2 instance, you can associate one or more security groups with it. Each security group acts as a set of traffic rules that control the inbound and outbound traffic for the instance. By default, all inbound traffic is denied, and all outbound traffic is allowed, but you can modify these rules to suit the needs of your application.

Security groups provide a simple and effective way to control access to your EC2 instances. By defining the appropriate rules, you can ensure that only authorized traffic is allowed and that your instances are protected from unauthorized access.

Elastic IP

An Elastic IP address is a static public IP address that you can allocate to your EC2 instances. Unlike the default public IP address assigned to an instance, an Elastic IP address can be associated with a different instance if the original instance is stopped or terminated.

Elastic IP addresses are useful when you need a fixed IP address that remains constant even when your instances are replaced. This is particularly important for applications that rely on a consistent IP address, such as web servers, DNS servers, or email servers.

By using Elastic IP addresses, you can ensure that your applications are always accessible at a consistent IP address, even when instances are replaced or stopped and restarted.

EC2 Instance Storage

EC2 instances come with different types of storage options, depending on the instance type and the chosen configuration. The main storage options are:

1. Instance Store: This is temporary storage that is directly attached to the physical hardware of the instance. It provides high-performance, low-latency storage but is volatile and is lost when the instance is stopped or terminated.

2. EBS (Elastic Block Store): EBS provides persistent storage that is independent of the instance’s lifecycle. EBS volumes can be attached to EC2 instances and are automatically replicated within a specific AWS region, providing durability and availability.

3. EFS (Elastic File System): EFS is a scalable, fully managed file storage service that can be mounted to multiple EC2 instances simultaneously. It provides shared access to files and is suitable for applications that require shared storage.

Choosing the right storage option depends on the requirements of your application. If you need high-performance storage and can tolerate data loss, instance store may be the best option. If you require persistent storage with durability and availability, EBS is the recommended choice. Finally, if you need shared access to files, EFS is the suitable option.

S3 – Simple Storage Service

Creating and Managing S3 Buckets

S3 (Simple Storage Service) is an object storage service provided by AWS. It allows you to store and retrieve large amounts of data in a highly available and durable manner. S3 is designed to be flexible and scalable, making it suitable for a wide range of use cases, such as backup and restore, data archiving, and content distribution.

To use S3, you first need to create a bucket. A bucket is a container for storing objects, and each bucket has a globally unique name. When creating a bucket, you can specify the region where the bucket will be stored, the access control settings, and the optional features, such as versioning and logging.

Once a bucket is created, you can upload objects to it, and these objects can be of any type, such as files, images, or videos. Each object in S3 is assigned a key, which is the unique identifier within the bucket. Objects can be accessed using their key, and S3 provides a simple API for retrieving, modifying, and deleting objects.

S3 Storage Classes

S3 provides different storage classes that allow you to optimize the cost and performance of your data storage. The available storage classes are:

1. S3 Standard: This is the default storage class and offers high durability, availability, and low latency. It is suitable for frequently accessed data and provides millisecond latency for retrieval.

2. S3 Intelligent-Tiering: This storage class is designed for data with unknown or changing access patterns. It automatically moves objects between two access tiers based on their usage patterns, ensuring cost savings while maintaining performance.

3. S3 Standard-IA (Infrequent Access): This storage class is suitable for data that is accessed less frequently but requires rapid access when needed. It offers a lower storage cost compared to S3 Standard but higher retrieval costs.

4. S3 One Zone-IA: This storage class is similar to S3 Standard-IA but stores data in a single availability zone instead of multiple ones. It provides a lower cost compared to S3 Standard-IA, but the data is not replicated across multiple zones.

5. S3 Glacier: This is a low-cost storage class designed for long-term archival of data. The retrieval time for objects in Glacier can range from minutes to hours, making it suitable for data that is rarely accessed.

6. S3 Glacier Deep Archive: This is the lowest-cost storage class designed for long-term archival of data that is rarely, if ever, accessed. The retrieval time for objects in Glacier Deep Archive can range from hours to days.

By choosing the appropriate storage class for your data, you can optimize the cost and performance of your S3 storage. This allows you to align your storage costs with the usage patterns of your data.

S3 Versioning

S3 versioning is a feature that allows you to keep multiple versions of an object in the same bucket. When versioning is enabled for a bucket, S3 automatically creates a new version of an object whenever it is modified or deleted. Each version of an object is assigned a unique version ID, which can be used to access specific versions.

Versioning provides a simple and reliable way to store, protect, and recover your data. With versioning, you can recover from both accidental deletions and malicious actions, as you can always restore a previous version of an object.

In addition to preserving previous versions of an object, S3 versioning also provides other features, such as MFA (Multi-Factor Authentication) Delete, which adds an extra layer of security by requiring a second authentication factor when deleting objects.

By enabling versioning for your S3 buckets, you can ensure the integrity and availability of your data, protect against accidental or malicious deletions, and comply with data retention requirements.

Lambda

Creating and Executing Lambda Functions

AWS Lambda is a serverless computing service that allows you to run your code without provisioning or managing servers. With Lambda, you can focus on writing your code and let AWS handle the infrastructure, automatic scaling, and availability.

To create a Lambda function, you need to write your code using one of the supported programming languages, such as Node.js, Python, Java, or C#. You can then upload your code to Lambda and define the entry point, which is the function that will be executed when the Lambda function is invoked.

Lambda functions can be triggered in several ways, such as API Gateway requests, S3 events, or scheduled events using CloudWatch. When a Lambda function is triggered, AWS automatically provisions the necessary resources to execute your code and scales it based on the incoming request load.

Lambda functions are billed based on the number of requests and the duration of each request. This means that you only pay for the actual compute time used by your function and not for idle or unused resources.

Event Sources for Lambda

Lambda functions can be triggered by various event sources within AWS. These event sources generate events, which in turn invoke your Lambda function. Some of the most common event sources for Lambda include:

1. API Gateway: API Gateway can trigger Lambda functions when an API request is received. This allows you to build serverless APIs by combining Lambda functions with API Gateway.

2. S3: Lambda functions can be triggered when an object is created, modified, or deleted in an S3 bucket. This allows you to perform custom processing on objects stored in S3.

3. DynamoDB: Lambda functions can be invoked when data is inserted, modified, or deleted in a DynamoDB table. This allows you to build real-time data processing applications using DynamoDB and Lambda.

4. CloudWatch Events: CloudWatch Events can trigger Lambda functions based on events within your AWS environment. This includes events from various AWS services, scheduled events, or custom events.

5. SNS: Lambda functions can be invoked when a message is published to an SNS (Simple Notification Service) topic. This allows you to build event-driven architectures using SNS and Lambda.

By leveraging the event sources provided by AWS, you can build serverless applications that respond to events in real-time, without the need to manage complex infrastructure or scale resources manually.

Lambda Triggers

Lambda functions can act as triggers for other AWS services. When a Lambda function is configured as a trigger, it is automatically invoked when a specific event occurs in the associated service.

Some of the services that can be triggered by a Lambda function include:

1. S3: When a Lambda function is configured as a trigger for an S3 bucket, it is invoked whenever an object is created, modified, or deleted in the bucket. This allows you to perform custom processing on S3 objects in real-time.

2. DynamoDB: A Lambda function can be used as a trigger for a DynamoDB table. When data is inserted, modified, or deleted in the table, the Lambda function is automatically invoked. This allows you to perform custom processing on DynamoDB data.

3. API Gateway: API Gateway can be configured to trigger a Lambda function when an API request is received. This allows you to build serverless APIs by combining Lambda functions with API Gateway.

4. CloudWatch Events: Lambda functions can be triggered by events generated by CloudWatch, including events from various AWS services, scheduled events, or custom events. This allows you to build event-driven architectures using Lambda.

By using Lambda as a trigger, you can build event-driven architectures and automate workflows within your AWS environment. Lambda functions provide a powerful and flexible way to process events and execute custom logic in response to specific triggers.

DynamoDB

Creating and Managing DynamoDB Tables

DynamoDB is a fully managed NoSQL database service provided by AWS. It offers fast and predictable performance with seamless scalability, making it suitable for a wide range of use cases, such as web applications, gaming, IoT, and more.

To create a DynamoDB table, you need to specify the table name, the primary key, and the provisioned throughput. The primary key is used to uniquely identify each item in the table and can be made up of a single attribute (known as the partition key) or a composite of two attributes (partition key and sort key).

DynamoDB tables are automatically replicated across multiple availability zones within a region, providing durability and availability. You can also specify the read and write capacity units to provision for your table, allowing you to control the performance and cost of your application.

Querying and Scanning Data

DynamoDB allows you to query and scan data stored in your tables using a simple and efficient API. The API supports various query and scan operations that allow you to retrieve data based on specified criteria.

Query operations allow you to retrieve items from a table based on their primary key attributes. You can specify the partition key value to retrieve a single item or use the partition key and sort key to retrieve a range of items.

Scan operations allow you to retrieve items from a table based on a filter expression. With scan operations, you can retrieve all items in a table or specify conditions to filter the items based on specified criteria.

DynamoDB’s query and scan operations are optimized for performance and provide predictable and low-latency access to your data. By using these operations efficiently, you can retrieve and process data in a fast and cost-effective manner.

DynamoDB Streams

DynamoDB Streams is a feature that allows you to capture changes to items stored in a DynamoDB table. When enabled on a table, DynamoDB Streams captures a time-ordered sequence of item-level modifications, including inserts, updates, and deletes.

Each change captured by DynamoDB Streams is represented as a stream record, which contains the details of the modification, such as the updated item or the type of modification. These stream records can be processed in real-time by AWS Lambda functions or other consumers, allowing you to react to changes in your DynamoDB data.

DynamoDB Streams provides a powerful way to build real-time data processing workflows and react to changes in your data. By using DynamoDB Streams and AWS Lambda, you can create event-driven architectures that respond to updates in your DynamoDB tables.

API Gateway

Creating and Deploying APIs

API Gateway is a fully managed service that allows you to create, publish, and manage APIs for your applications. With API Gateway, you can easily expose your resources over HTTP or WebSocket protocols, allowing clients to interact with your applications.

To create an API with API Gateway, you first need to define the resources and methods that make up your API. A resource represents a logical entity or object in your application, and a method represents a specific action that can be performed on the resource, such as GET, POST, or DELETE.

Once the API is defined, you can configure various settings, such as authentication, request/response transformations, and caching. You can also generate client SDKs and documentation, making it easier for developers to integrate with your API.

After creating an API, you can deploy it to a specific stage, such as development, testing, or production. Each stage represents a snapshot of your API configuration and can have its own settings, such as throttling limits, logging, and custom domain names.

API Gateway Authorizers

API Gateway provides various options for authenticating and authorizing requests to your APIs. You can control access to your resources by using one of the available authorizers, such as IAM roles, Lambda functions, or third-party providers.

IAM roles can be used to authorize requests based on the credentials of the calling entity. This allows you to control access to your APIs based on the IAM policies associated with the calling IAM user or role. IAM roles provide a secure and straightforward way to authenticate and authorize requests within your AWS environment.

Lambda authorizers allow you to write custom authorization logic using AWS Lambda functions. When a request is made to your API, the Lambda authorizer is invoked to determine whether the request is authorized. Lambda authorizers can perform custom authorization logic, such as checking user access tokens or validating request signatures.

Third-party providers, such as Amazon Cognito or OAuth providers, can also be used as authorizers for your APIs. These providers allow you to delegate the authentication and authorization to an external system, providing flexibility and compatibility with existing authentication mechanisms.

By using API Gateway authorizers, you can control access to your APIs and ensure that only authorized requests are allowed. This helps protect your resources and ensures the security of your applications.

API Gateway Mapping Templates

API Gateway mapping templates allow you to transform and modify the request and response payloads of your APIs. This allows you to decouple your backend infrastructure from your frontend clients and provides flexibility in customizing the API responses.

Mapping templates are written in Velocity Template Language (VTL) and can be used to perform various operations, such as data transformations, conditional logic, or header modifications.

For example, you can use mapping templates to modify the structure of the request payload before passing it to your backend service. This can be useful when your backend service expects a different format or when you need to extract specific information from the request.

Similarly, mapping templates can be used to modify the structure of the response payload before returning it to the client. This allows you to transform the response data into a format that is more suitable for the client or perform additional processing on the data.

By using API Gateway mapping templates, you can customize the behavior and structure of your API payloads, providing a seamless integration between your clients and backend services.

SQS – Simple Queue Service

Creating and Managing SQS Queues

SQS (Simple Queue Service) is a fully managed message queuing service provided by AWS. It allows you to decouple the components of your applications by providing a reliable and scalable way to send, store, and receive messages.

To use SQS, you first need to create a queue. A queue is a named container for messages, and each queue has a globally unique URL. When creating a queue, you can specify various attributes, such as the message retention period, visibility timeout, and default message delay.

Once a queue is created, you can send messages to it using the SQS API. Each message is assigned a message ID, and SQS ensures the reliable delivery of messages to the queue. Messages remain in the queue until they are received and deleted by a consumer.

Message Visibility and Retention

SQS provides mechanisms to control the visibility and retention of messages in a queue. Visibility timeout allows you to control how long a message is hidden from other consumers after it is received by a consumer. This ensures that a message is not processed by multiple consumers simultaneously, preventing duplicated processing.

Message retention period allows you to control how long SQS retains a message in a queue. If a message is not received and deleted within the retention period, it is automatically deleted by SQS. This ensures that the queue does not grow indefinitely and helps manage the storage cost.

By configuring the visibility timeout and message retention period, you can ensure that messages are processed correctly and efficiently, preventing message loss and unnecessary storage costs.

SQS FIFO Queues

SQS supports two types of queues: standard queues and FIFO (First-In-First-Out) queues. FIFO queues provide strict message ordering and exactly-once processing. They are designed for applications that require the exact order of messages and cannot tolerate duplicates or out-of-order processing.

Similar to standard queues, FIFO queues allow you to send, store, and receive messages. However, FIFO queues have additional features, such as content-based deduplication and strict message ordering.

Content-based deduplication ensures that only one copy of a specific message is present in the queue. When sending a message to a FIFO queue, SQS checks if an identical message is already in the queue. If it is, the message is silently discarded, preventing duplicates.

Strict message ordering ensures that messages are processed in the exact order they are sent to the queue. This guarantees that the order of messages is preserved, even when multiple message groups are used.

By using FIFO queues, you can ensure that the order of your messages is preserved, prevent duplicates, and achieve exactly-once processing in your applications.

SNS – Simple Notification Service

Creating and Managing SNS Topics

SNS (Simple Notification Service) is a fully managed messaging service provided by AWS. It allows you to send notifications to multiple subscribers using various communication protocols, such as email, SMS, HTTP/HTTPS, or mobile push notifications.

To use SNS, you first need to create a topic. A topic is an access point for sending messages to subscribers, and each topic has a globally unique ARN (Amazon Resource Name). When creating a topic, you can define the delivery options, such as the protocols and endpoints that are allowed to receive messages from the topic.

Once a topic is created, you can send messages to it using the SNS API. Messages can be sent to one or multiple subscribers, depending on the subscriptions associated with the topic. Subscribers can manage their subscriptions and choose the protocols and endpoints where they want to receive notifications.

Publishing and Subscribing to Topics

SNS provides a publish-subscribe pattern, where a message (published to a topic) is delivered to multiple subscribers. This pattern decouples the senders of messages from the receivers, allowing you to send notifications to multiple subscribers without the need to know their specific details.

To subscribe to an SNS topic, a subscriber needs to provide the necessary information, such as the protocol (email, SMS, etc.) and the endpoint (email address, phone number, etc.) where they want to receive the notifications. Once the subscription is confirmed, the subscriber starts receiving messages published to the topic.

SNS supports various types of subscriptions, such as email, SMS, HTTP/HTTPS, or mobile push notifications. This allows you to reach your subscribers using their preferred communication method.

By using SNS topics, you can easily send notifications to multiple subscribers and keep them informed about important events or updates in your applications.

SNS Message Attributes

SNS messages can include message attributes that provide additional information about the message. Message attributes are key-value pairs that are attached to the message and can be used by subscribers to process or filter the messages.

Message attributes can be used to add metadata to the message, such as the type, category, or priority. Subscribers can then use these attributes to perform custom processing or filtering based on specific criteria.

For example, a subscriber can filter messages based on the priority attribute, only processing messages with high priority. This allows subscribers to receive only the messages that are relevant to them, improving the efficiency of message processing.

By using message attributes, you can provide additional context and flexibility to your SNS messages, enabling subscribers to perform customized processing or filtering based on their specific requirements.

CDK – Cloud Development Kit

CDK Basics and Installation

CDK (Cloud Development Kit) is an open-source software development framework provided by AWS. It allows you to define infrastructure as code using familiar programming languages, such as TypeScript, Python, Java, or C#. With CDK, you can provision and manage AWS resources using code, rather than manually configuring them.

To get started with CDK, you need to install the CDK CLI (Command Line Interface) and the necessary programming language dependencies. The CLI allows you to create and manage CDK projects, deploy CDK stacks, and interact with AWS resources.

Once the CLI is installed, you can create a new CDK project using the CLI’s init command. This initializes a new CDK project with the necessary files and dependencies for your chosen programming language.

Creating Stacks with CDK

In CDK, a stack represents a unit of deployment for your AWS resources. It is a logical grouping of resources that are created, updated, or deleted together. Stacks can be defined with CDK using the programming language of your choice.

To create a stack, you need to define the resources that make up the stack using the CDK API. Each resource is represented by a class, and you can configure its properties using the class’s methods and properties.

CDK also provides constructs, which are higher-level abstractions that represent commonly used patterns or groupings of resources. Constructs allow you to define reusable components and simplify the definition of complex stacks.

Once a stack is defined, you can use the CDK CLI to deploy it to your AWS account. This deploys the resources defined in the stack to your account and makes them available for use.

Deploying CDK Stacks

To deploy a CDK stack, you can use the CDK CLI’s deploy command. This command packages and uploads the necessary files to AWS, creates or updates the required resources, and outputs the stack information, such as the stack name, stack ID, and the resources created.

During deployment, CDK automatically determines the changes that need to be made to your resources to reach the desired state defined in your code. It only updates the resources that have changed, minimizing the impact on the running resources.

CDK also supports time-saving features, such as parallel deployments, which allow you to deploy multiple stacks in parallel. This can significantly reduce the time required to deploy complex applications with multiple dependencies.

By using CDK, you can automate the deployment of your AWS resources, simplify the management of your infrastructure, and ensure consistency and reproducibility across your environments.

In conclusion, AWS provides a comprehensive suite of services and tools that allow developers and businesses to build, deploy, and manage applications in the cloud. From identity and access management to serverless computing and storage solutions, AWS offers a wide range of services that cater to various use cases and requirements.

By understanding and leveraging the core topics of AWS, such as IAM, EC2, S3, Lambda, DynamoDB, API Gateway, SQS, SNS, and CDK, developers can build scalable and reliable applications that take advantage of the power and flexibility provided by the AWS cloud.

The AWS Certified Developer – Associate certification validates the knowledge and skills required to develop and deploy applications on AWS. By exploring and mastering the core topics outlined in this comprehensive guide, aspiring AWS developers can prepare themselves for the certification exam and gain a solid foundation in AWS development.

Remember to always refer to the official AWS documentation and stay updated with the latest services and features released by AWS. Happy learning and happy building on AWS!