Free Amazon MLA-C01 Exam Questions

A company regularly receives new training data from a vendor of an ML model. The vendor deliverscleaned and prepared data to the companys Amazon S3 bucket every 3“4 days.The company has an Amazon SageMaker AI pipeline to retrain the model. An ML engineer needs torun the pipeline automatically when new data is uploaded to the S3 bucket.Which solution will meet these requirements with the LEAST operational effort?

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 Canvas user for additional tuning. The model artifacts are stored in an Amazon S3 bucket. The ML engineer and the Canvas user are part of the same SageMaker domain. Which combination of requirements must be met so that the ML engineer can share the model with the Canvas user? (Choose two.) 

A travel company has trained hundreds of geographic data models to answer customer questions byusing Amazon SageMaker AI. Each model uses its own inferencing endpoint, which has become anoperational challenge for the company.The company wants to consolidate the models' inferencing endpoints to reduce operationaloverhead.Which solution will meet these requirements?

A company is developing ML models by using PyTorch and TensorFlow estimators with AmazonSageMaker AI. An ML engineer configures the SageMaker AI estimator and now needs to initiate atraining job that uses a training dataset.Which SageMaker AI SDK method can initiate the training job?

A company is building a new version of a recommendation engine.Machine learning (ML) specialists need to keep adding new data from users to improve personalized recommendations.The ML specialists gather data from the users' interactions on the platform and from sources such as external websites and social media.The pipeline cleans, transforms, enriches, and compresses terabytes of data daily, and this data is stored in Amazon S3.A set of Python scripts was coded to do the job and is stored in a large Amazon EC2 instance.The whole process takes more than 20 hours to finish, with each script taking at least an hour.The company wants to move the scripts out of Amazon EC2 into a more managed solution that will eliminate the need to maintain servers.Which approach will address all of these requirements with the LEAST development effort?