A company needs a solution to prevent photos with unwanted content from being uploaded to the company's web application. The solution must not involve training a machine learning (ML) model.
Which solution will meet these requirements?
A.
Create and deploy a model by using Amazon SageMaker Autopilot. Create a real-time endpoint that the web application invokes when new photos are uploaded.
B.
Create an AWS Lambda function that uses Amazon Rekognition to detect unwanted content. Create a Lambda function URL that the web application invokes when new photos are uploaded.
C.
Create an Amazon CloudFront function that uses Amazon Comprehend to detect unwanted content. Associate the function with the web application.
D.
Create an AWS Lambda function that uses Amazon Rekognition Video to detect unwanted content. Create a Lambda function URL that the web application invokes when new photos are uploaded.
Rekognition: for image and video analysis
Comprehend: natural language processing model for uncovering insights and connections in text
Sagemaker Autopilot: feature set that simplifies and accelerates and automates the various stages of the machine learning workflow
Amazon Rekognition is a visual analysis service that includes both Amazon Rekognition Image and Amazon Rekognition Video. Amazon Rekognition Image analyzes images, while Amazon Rekognition Video analyzes videos.
You've made it this far, and you're all gonna make it.
For your quick reference:
Vision and Image Processing
1. Amazon Rekognition: Detects objects, scenes, text, faces, and activities in images/videos.
2. Amazon Textract: Extracts text, tables, and forms from scanned documents.
Speech and Language
1. Amazon Polly: Converts text to lifelike speech.
2. Amazon Transcribe: Converts speech to text for audio files.
3. Amazon Translate: Yeah, translate.
4. Amazon Comprehend: Extracts insights like sentiment, entities, and key phrases from text.
Machine Learning Development
1. Amazon SageMaker: Comprehensive ML platform for building, training, and deploying models.
2. Amazon SageMaker Autopilot: Automatically builds, trains, and tunes ML models, basically simplified model creation for non-experts.
3. Amazon SageMaker JumpStart: Provides pre-built ML models and solutions for quick deployment.
Chatbots and Conversations
1. Amazon Lex: Builds conversational AI (chatbots) using speech and text.
2. Amazon Kendra: Intelligent search service for documents and FAQs.
Personalization and Forecasting
1. Amazon Personalize: Provides personalized recommendations using ML.
2. Amazon Forecast: Time-series forecasting for demand, sales, and resource planning.
Data Insights
1. Amazon Fraud Detector: Detects fraudulent activity using ML models.
2. Amazon Lookout for Metrics: Detects anomalies in metrics automatically.
3. Amazon Lookout for Vision: Detects manufacturing defects in images.
Robotics and Edge AI
1. AWS DeepRacer: Provides a platform for learning reinforcement learning using autonomous racing.
2. AWS Panorama: Adds computer vision to on-premises cameras.
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