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 4 of 20.

Question 31: A company has a large collection of chat recordings from customer interactions after a product release. An ML engineer needs to create an ML model to analyze t…
Question 32: A company has a conversational AI assistant that sends requests through Amazon Bedrock to an Anthropic Claude large language model (LLM). Users report that whe…
Question 33: A company is using ML to predict the presence of a specific weed in a farmer's field. The company is using the Amazon SageMaker linear learner built-in algorit…
Question 34: A company has implemented a data ingestion pipeline for sales transactions from its ecommerce website. The company uses Amazon Data Firehose to ingest data int…
Question 35: A company has trained an ML model in Amazon SageMaker. The company needs to host the model to provide inferences in a production environment. The model must be…
Question 36: An ML engineer needs to use an Amazon EMR cluster to process large volumes of data in batches. Any data loss is unacceptable. Which instance purchasing option…
Question 37: A company wants to improve the sustainability of its ML operations. Which actions will reduce the energy usage and computational resources that are associated…
Question 38: A company is planning to create several ML prediction models. The training data is stored in Amazon S3. The entire dataset is more than 5 ТВ in size and consis…
Question 39: An ML engineer needs to use AWS CloudFormation to create an ML model that an Amazon SageMaker endpoint will host. Which resource should the ML engineer declare…
Question 40: An advertising company uses AWS Lake Formation to manage a data lake. The data lake contains structured data and unstructured data. The company's ML engineers…