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Exam AWS Certified Solutions Architect - Associate SAA-C03 All Questions

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Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 796 discussion

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.
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Suggested Answer: B 🗳️

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Andy_09
Highly Voted 7 months, 3 weeks ago
Option B
upvoted 8 times
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HarryLopez
Highly Voted 6 months, 3 weeks ago
Selected Answer: B
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
upvoted 6 times
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zdi561
Most Recent 1 month, 2 weeks ago
Selected Answer: A
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.
upvoted 1 times
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LeonSauveterre
3 months ago
Selected Answer: B
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.
upvoted 4 times
LeonSauveterre
3 months ago
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.
upvoted 4 times
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NayeraB
7 months, 2 weeks ago
Selected Answer: B
B is correct
upvoted 3 times
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