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 is creating an application that will recommend products for customers to purchase. The application will make API calls to Amazon Q Business. The company must ensure that responses from Amazon Q Business do not include the name of the company's main competitor. Which solution will meet this requirement? 

A government agency is conducting a national census to assess program needs by area and city. Thecensus form collects approximately 500 responses from each citizen. The agency needs to analyzethe data to extract meaningful insights. The agency wants to reduce the dimensions of the highdimensionaldata to uncover hidden patterns.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?

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.)