A company has an application that stores data in Amazon RDS instances. The application periodically experiences surges of high traffic that cause performance problems.
During periods of peak traffic, a developer notices a reduction in query speed in all database queries.
The team's technical lead determines that a multi-threaded and scalable caching solution should be used to offload the heavy read traffic. The solution needs to improve performance.
Which solution will meet these requirements with the LEAST complexity?
Amazon ElastiCache for Memcached is a fully managed, multithreaded, and scalable in-memory key-value store that can be used to cache frequently accessed data and improve application performance1. By using Amazon ElastiCache for Memcached, the developer can reduce the load on the main database and handle high traffic surges more efficiently.
To use Amazon ElastiCache for Memcached, the developer needs to create a cache cluster with one or more nodes, and configure the application to store and retrieve data from the cache cluster2.The developer can use any of the supported Memcached clients to interact with the cache cluster3.The developer can also use Auto Discovery to dynamically discover and connect to all cache nodes in a cluster4.
Amazon ElastiCache for Memcached is compatible with the Memcached protocol, which means that the developer can use existing tools and libraries that work with Memcached1. Amazon ElastiCache for Memcached also supports data partitioning, which allows the developer to distribute data among multiple nodes and scale out the cache cluster as needed.
Using Amazon ElastiCache for Memcached is a simple and effective solution that meets the requirements with the least complexity. The developer does not need to change the database schema, migrate data to a different service, or use a different caching model. The developer can leverage the existing Memcached ecosystem and easily integrate it with the application.
A developer at a company recently created a serverless application to process and show data from business reports. The application's user interface (UI) allows users to select and start processing the files. The Ul displays a message when the result is available to view. The application uses AWS Step Functions with AWS Lambda functions to process the files. The developer used Amazon API Gateway and Lambda functions to create an API to support the UI.
The company's Ul team reports that the request to process a file is often returning timeout errors because of the see or complexity of the files. The Ul team wants the API to provide an immediate response so that the Ul can deploy a message while the files are being processed. The backend process that is invoked by the API needs to send an email message when the report processing is complete.
What should the developer do to configure the API to meet these requirements?
This solution allows the API to invoke the Lambda function asynchronously, which means that the API will return an immediate response without waiting for the function to complete. The X-Amz-Invocation-Type header specifies the invocation type of the Lambda function, and setting it to 'Event' means that the function will be invoked asynchronously. The function can then use Amazon Simple Email Service (SES) to send an email message when the report processing is complete.
A company has a social media application that receives large amounts of traffic User posts and interactions are continuously updated in an Amazon RDS database The data changes frequently, and the data types can be complex The application must serve read requests with minimal latency
The application's current architecture struggles to deliver these rapid data updates efficiently The company needs a solution to improve the application's performance.
Which solution will meet these requirements'?
Amazon ElastiCache for Redis:An in-memory data store known for extremely low latency, ideal for caching frequently accessed, complex data.
Write-Through Caching:Ensures that data is always consistent between the cache and the database. Writes go to both Redis and RDS.
Performance Gains:Redis handles reads with minimal latency, offloading the RDS database and improving the application's responsiveness.
Amazon ElastiCache for Redis Documentation:https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/
Caching Strategies:https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/Strategies.html
A developer wants to use an Amazon CloudFront distribution to deliver a web application to users. Users will access the application through the internet.
The developer needs to create an SSL/TLS certificate to use with the CloudFront distribution. The developer wants to minimize operational overhead by ensuring that the certificate is renewed automatically.
Which solution will meet these requirements?
The best answer is to request a public certificate in AWS Certificate Manager and validate it with DNS. ACM manages public certificate renewal automatically when validation remains in place, which minimizes operational overhead. DNS validation is preferable to email validation because it does not require manual approval emails during renewal workflows. IAM server certificates are legacy-style certificate storage and do not provide the same managed lifecycle experience as ACM. Imported certificates are not automatically renewed by ACM because ACM does not control their issuance lifecycle. For CloudFront, AWS recommends ACM certificates, and CloudFront certificates must be requested or imported in the US East (N. Virginia) Region, although the option's key point is ACM public certificate with DNS validation. (AWS Documentation)
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A developer is designing a serverless application for a game in which users register and log in through a web browser The application makes requests on behalf of users to a set of AWS Lambda functions that run behind an Amazon API Gateway HTTP API
The developer needs to implement a solution to register and log in users on the application's sign-in page. The solution must minimize operational overhead and must minimize ongoing management of user identities.
Which solution will meet these requirements'?
Amazon Cognito User Pools:A managed user directory service, simplifying user registration and login.
Social Identity Providers:Cognito supports integration with external providers (e.g., Google, Facebook), reducing development effort.
IAM Roles for Authorization:Cognito-managed IAM roles grant fine-grained access to AWS resources (like Lambda functions).
Operational Overhead:Cognito minimizes the need to manage user identities and credentials independently.
Amazon Cognito Documentationhttps://docs.aws.amazon.com/cognito/
Cognito User Pools for Web Applications:https://docs.aws.amazon.com/cognito/latest/developerguide/cognito-user-pools-app-integration.html
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