Free Amazon MLA-C01 Exam Questions

An ML engineer has trained a neural network by using stochastic gradient descent (SGD). The neuralnetwork performs poorly on the test set. The values for training loss and validation loss remain highand show an oscillating pattern. The values decrease for a few epochs and then increase for a fewepochs before repeating the same cycle.What should the ML engineer do to improve the training process?

A company wants to share data with a vendor in real time to improve the performance of thevendor's ML models. The vendor needs to ingest the data in a stream. The vendor will use only someof the columns from the streamed data.Which solution will meet these requirements?

An ML engineer is setting up an Amazon SageMaker AI pipeline for an ML model. The pipeline mustautomatically initiate a re-training job if any data drift is detected.How should the ML engineer set up the pipeline to meet this requirement?

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 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?