Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 107 discussion

API Gateway is needed to get the data so option A and C are out. “The company wants to use these data points in its existing analytics platform” so there is no need to add Kynesis. Option D is also out. This leaves us with option B as the correct one.

I dont understand why you will vote B? how are you going to store data with just lambda? > Which action meets these requirements for storing and retrieving location data In this use case there will obviously be a ton of data and you want to get real-time location data of the bicycles, and to analyze all these info kinesis is the one that makes most sense here.

Given that the company already has an existing analytics platform and needs a solution for storing and retrieving location data that can be accessed through a REST API, the best choice is: B. Use Amazon API Gateway with AWS Lambda

Kinesis is specifically designed for telemetry data, making it a better fit for tracking bicycle locations.

B. Amazon API Gateway com AWS Lambda: Essa combinação é útil para fornecer APIs REST, mas o Lambda não é otimizado para ingestão contínua de dados de localização em tempo real. Ele seria mais adequado para processos eventuais ou tarefas específicas.

the best answer is B: Use Amazon API Gateway with AWS Lambda Reasoning: API Gateway provides the required REST API endpoint Lambda can handle real-time processing of location data This combination is cost-effective and scalable Can easily integrate with other AWS services for analytics Provides the necessary multi-tier architecture (API Layer, Processing Layer, Storage Layer)

A common use is the real-time aggregation of data followed by loading the aggregate data into a data warehouse or map-reduce cluster. https://docs.aws.amazon.com/streams/latest/dev/introduction.html#using-the-service

D is the most viable multi-tier option, as it supports real-time data ingestion, analytics, and accessibility through a REST API.

kinesis more complex than lambda

The company needs to track bicycle locations during peak operating hours and make this data accessible via a REST API. The data will be part of an analytics platform, so the solution should support real-time data processing, storage, and easy retrieval. Amazon API Gateway: This can be used to create a REST API to receive and expose the location data of the bicycles. Amazon Kinesis Data Analytics: This service is specifically designed to process real-time streaming data, such as location data points sent from the bicycles. It enables real-time analytics and can seamlessly integrate with other services like Amazon S3, DynamoDB, or Amazon Redshift, which may be used for further storage or analysis.

According to copilot: Initial setup & scaling ability of lambda is way better than kinesis. Also for storing data points we need DB or any other solution in both cases, which should not be point for considering answer here

API Gateway is definitely needed, so A and C are out, I would agree with B is there was SQS in the picture, as Lambda may not be able to work with a large volume of continuous location data.

D. Use Amazon API Gateway with Amazon Kinesis Data Analytics.

it should be D because ChatGPT said that :D

The most viable option for storing and retrieving location data in a multi-tier architecture with the requirements mentioned is D. Use Amazon API Gateway with Amazon Kinesis Data Analytics. Here's why: Amazon API Gateway: It provides a managed solution for exposing a REST API, which is needed for making the location data accessible to external clients and applications. Amazon Kinesis Data Analytics: This service is designed to handle real-time data streams and analytics, which is ideal for tracking the location of bicycles during peak operating hours when real-time data processing is essential. Kinesis Data Analytics can efficiently process, analyze, and store the location data from bicycles, making it a good fit for real-time tracking scenarios. This solution supports the real-time ingestion of location data and enables integration with the company's existing analytics platform for further processing, while also providing access to the data via REST APIs.

Ans D - hint: "The data points must be accessible from the REST API" so we need an API interface - that's leaves only B or D, of which B uses a Lambda function (undefined) and D provides Kinesis data analytics

B seems right, because it has already existing analytics plateform so don't need D.