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 8 of 20.

1. Question 71: A company wants to develop an ML model by using tabular data from its customers. The data contains meaningful ordered features with sensitive information that…
2. Question 72: An ML engineer needs to deploy ML models to get inferences from large datasets in an asynchronous manner. The ML engineer also needs to implement scheduled mon…
3. Question 73: An ML engineer normalized training data by using min-max normalization in AWS Glue DataBrew. The ML engineer must normalize the production inference data in th…
4. Question 74: A company is planning to use Amazon SageMaker to make classification ratings that are based on images. The company has 6 ТВ of training data that is stored on…
5. Question 75: A company regularly receives new training data from the vendor of an ML model. The vendor delivers cleaned and prepared data to the company's Amazon S3 bucket…
6. Question 76: An ML engineer is developing a fraud detection model by using the Amazon SageMaker XGBoost algorithm. The model classifies transactions as either fraudulent or…
7. Question 77: A company has a binary classification model in production. An ML engineer needs to develop a new version of the model. The new model version must maximize corr…
8. Question 78: A company wants to reduce the cost of its containerized ML applications. The applications use ML models that run on Amazon EC2 instances, AWS Lambda functions,…
9. Question 79: A company has developed a new ML model. The company requires online model validation on 10% of the traffic before the company fully releases the model in produ…
10. Question 85: A company has an Amazon S3 bucket that contains 1 ТВ of files from different sources. The S3 bucket contains the following file types in the same S3 folder: CS…