AWS Certified Machine Learning Engineer – Associate (MLA-C01) Free Practice Exam Questions

198 real AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam questions with answers and AI explanations. Amazon Web Services certification prep — page 10 of 20.

  1. Question 96: A company needs to use Retrieval Augmented Generation (RAG) to supplement an open source large language model (LLM) that runs on Amazon Bedrock. The company's…
  2. Question 97: A company plans to deploy an ML model for production inference on an Amazon SageMaker endpoint. The average inference payload size will vary from 100 MB to 300…
  3. Question 98: A company receives daily .csv files about customer interactions with its ML model. The company stores the files in Amazon S3 and uses the files to retrain the…
  4. Question 99: A medical company is using AWS to build a tool to recommend treatments for patients. The company has obtained health records and self-reported textual informat…
  5. Question 100: A company needs to extract entities from a PDF document to build a classifier model. Which solution will extract and store the entities in the LEAST amount of…
  6. Question 101: An ML engineer has deployed an Amazon SageMaker model to a serverless endpoint in production. The model is invoked by the InvokeEndpoint API operation. The mod…
  7. Question 102: A company is building a real-time data processing pipeline for an ecommerce application. The application generates a high volume of clickstream data that must…
  8. Question 103: An ML engineer needs to use metrics to assess the quality of a time-series forecasting model. Which metrics apply to this model? (Choose two.)
  9. Question 104: A company runs Amazon SageMaker ML models that use accelerated instances. The models require real-time responses. Each model has different scaling requirements…
  10. Question 105: A company uses Amazon SageMaker for its ML process. A compliance audit discovers that an Amazon S3 bucket for training data uses server-side encryption with S3…