Correct Answer: Amazon Personalize
Amazon Personalize is a managed ML service that automatically builds and deploys personalized recommendation models based on user activity....
Correct Answer
Amazon Personalize
Why This Answer Is Correct
Amazon Personalize is a managed ML service that automatically builds and deploys personalized recommendation models based on user activity.
This question evaluates your knowledge of Amazon SageMaker — a core concept tested in AWS Certified Solutions Architect – Professional (SAP-C02). Understanding Amazon SageMaker is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.
Your data science team needs a fully managed environment to build, train, and deploy custom machine learning models using TensorFlow. Which platform provides these end-to-end MLOps capabilities?
An e-commerce company wants to use machine learning to suggest related products to users. Their data is stored in Amazon Aurora and S3. They want to build and deploy this recommendation engine with minimal infrastructure management and support for complex feature engineering. Which platform is best?
You are building a serverless application using AWS AppSync (GraphQL). You want to ensure that your API can scale to millions of users but also store its persistent data in a way that provides global, multi-region replication. Which database backend should you use?
Which AWS machine learning service allows developers to build, train, and deploy custom models using a variety of frameworks like TensorFlow, PyTorch, and scikit-learn?
A media company wants to analyze their library of millions of videos to automatically generate summaries and identify celebrities and brand logos. Which pre-trained AI service should they use?