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 6 of 20.

1. Question 51: A company is creating an application that will recommend products for customers to purchase. The application will make API calls to Amazon Q Business. The comp…
2. Question 52: An ML engineer needs to use Amazon SageMaker to fine-tune a large language model (LLM) for text summarization. The ML engineer must follow a low-code no-code (…
3. Question 53: A company has an ML model that needs to run one time each night to predict stock values. The model input is 3 MB of data that is collected during the current d…
4. Question 54: A company has an application that uses different APIs to generate embeddings for input text. The company needs to implement a solution to automatically rotate…
5. Question 55: An ML engineer receives datasets that contain missing values, duplicates, and extreme outliers. The ML engineer must consolidate these datasets into a single d…
6. Question 56: Case study - An ML engineer is developing a fraud detection model on AWS. The training dataset includes transaction logs, customer profiles, and tables from an…
7. Question 57: A company has historical data that shows whether customers needed long-term support from company staff. The company needs to develop an ML model to predict whe…
8. Question 58: An ML engineer has developed a binary classification model outside of Amazon SageMaker. The ML engineer needs to make the model accessible to a SageMaker Canva…
9. Question 59: A company is building a deep learning model on Amazon SageMaker. The company uses a large amount of data as the training dataset. The company needs to optimize…
10. Question 60: A company is planning to use Amazon Redshift ML in its primary AWS account. The source data is in an Amazon S3 bucket in a secondary account. An ML engineer ne…