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 14 of 20.

Question 137: A company has several teams that have developed separate prediction models on their own laptops. The teams developed the models by using Python with scikit-lea…
Question 138: A company is training a large language model (LLM) by using on-premises infrastructure. A live conversational engine uses the LLM to help customers find real-t…
Question 139: A company has an existing Amazon SageMaker model (v1) on a production endpoint. The company develops a new model version (v2) and needs to test v2 in productio…
Question 140: A company is building an ML model by using Amazon SageMaker, AWS owned libraries, and open source libraries. The company must ensure that SageMaker does not co…
Question 141: A medical company ingests streams of data from devices that monitor patients’ vital signs. The company uses Amazon SageMaker and plans to prepare ML models to…
Question 142: An ML model is deployed in production. The model has performed well and has met its metric thresholds for months. An ML engineer who is monitoring the model ob…
Question 143: An ecommerce company trains an ML model to forecast demand for near real-time inventory management based on historical customer activity. The company successfu…
Question 144: An ML engineer wants to use, prepare, and load data from Amazon S3 for analytics. The ML engineer must run an extract, transform, and load (ETL) job to discove…
Question 145: A company uses an Amazon SageMaker AI ML model to make real-time inferences. The company has configured auto scaling for the Amazon EC2 instances that SageMake…
Question 146: A company collects customer data every day. The company stores the data as compressed files in an Amazon S3 bucket that is partitioned by date. Every month, an…