AWS Certified Data Engineer - Associate DEA-C01 — Topic 1 Question 182

Question

A retail company is using an Amazon Redshift cluster to support real-time inventory management. The company has deployed an ML model on a real-time endpoint in Amazon SageMaker. The company wants to make real-time inventory recommendations. The company also wants to make predictions about future inventory needs. Which solutions will meet these requirements? (Choose two.)

Accepted Answer

Correct answer: A, B. The correct answer is A, B. Option A: Use Amazon Redshift ML to generate inventory recommendations. Option B: Use SQL to invoke a remote SageMaker endpoint for prediction. Amazon Redshift is a managed petabyte-scale data warehouse for complex analytical queries. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service. This option meets the real-time / low-latency performance requirement.

AWS Certified Data Engineer - Associate DEA-C01 — Question 182