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 12 of 20.

Question 116: A company is exploring generative AI and wants to add a new product feature. An ML engineer is making API calls from existing Amazon EC2 instances to Amazon Be…
Question 117: A company wants to launch a new internal generative AI interface to answer user questions. The interface will be based on a popular open source large language…
Question 118: A company needs to perform feature engineering, aggregation, and data preparation. After the features are produced, the company must implement a solution on AW…
Question 119: A company is developing a new online application to gather information from customers. An ML engineer has developed a new ML model that will determine a score…
Question 120: A company is using Amazon EMR. The company has a large dataset in Amazon S3 that needs to be ingested into Amazon SageMaker Feature Store. The dataset contains…
Question 121: An ML engineer is developing a classification model. The ML engineer needs to use custom libraries in processing jobs, training jobs, and pipelines in Amazon S…
Question 122: A company runs an ML model on Amazon SageMaker. The company uses an automatic process that makes API calls to create training jobs for the model. The company h…
Question 123: A company wants to build a real-time analytics application that uses streaming data from social media. An ML engineer must implement a solution that ingests an…
Question 124: A company stores training data as a .csv file in an Amazon S3 bucket. The company must encrypt the data and must control which applications have access to the…
Question 125: An ML engineer needs to deploy four ML models in an Amazon SageMaker inference pipeline. The models were built with different frameworks. The ML engineer also…