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What should the Machine Learning Specialist do to the training solution to allow it to scale for future demand?
A company's Machine Learning Specialist needs to improve the training speed of a time-series forecasting model using TensorFlow. The training is currently implemented on a single-GPU machine and takes approximately 23 hours to complete. The training needs to be run daily. The model accuracy js acceptable, but the company anticipates...
Which of the following approaches should the Data Science team take to mitigate this issue?
A gaming company has launched an online game where people can start playing for free but they need to pay if they choose to use certain features. The company needs to build an automated system to predict whether or not a new user will become a paid user within 1...
Which action is recommended to provide the HIGHEST accuracy model for the company's test and validation data?
A web-based company wants to improve its conversion rate on its landing page Using a large historical dataset of customer visits, the company has repeatedly trained a multi-class deep learning network algorithm on Amazon SageMaker However there is an overfitting problem training data shows 90% accuracy in predictions, while test...
Which of the following metrics should a Machine Learning Specialist generally use to compare/evaluate machine learning classification models against each other?
Which of the following metrics should a Machine Learning Specialist generally use to compare/evaluate machine learning classification models against each other?A . RecallB . Misclassification rateC . Mean absolute percentage error (MAPE)D . Area Under the ROC Curve (AUC)View AnswerAnswer: D Explanation: Area Under the ROC Curve (AUC) is a...
Which method is the MOST repeatable and requires the LEAST amount of effort to achieve this?
A Machine Learning Specialist has built a model using Amazon SageMaker built-in algorithms and is not getting expected accurate results. The Specialist wants to use hyperparameter optimization to increase the model's accuracy Which method is the MOST repeatable and requires the LEAST amount of effort to achieve this?A . Launch...
Which of the following are required to access the bucket and avoid the access denied error?
An Amazon SageMaker notebook instance is launched into Amazon VPC. The SageMaker notebook references data contained in an Amazon S3 bucket in another account. The bucket is encrypted using SSE-KMS. The instance returns an access denied error when trying to access data in Amazon S3. Which of the following are...
What should the Specialist do to initialize the model to re-train it with the custom data?
A Machine Learning Specialist is training a model to identify the make and model of vehicles in images. The Specialist wants to use transfer learning and an existing model trained on images of general objects. The Specialist collated a large custom dataset of pictures containing different vehicle makes and models....
Which solution should the Specialist recommend?
A Machine Learning Specialist receives customer data for an online shopping website. The data includes demographics, past visits, and locality information. The Specialist must develop a machine learning approach to identify the customer shopping patterns, preferences and trends to enhance the website for better service and smart recommendations. Which solution...
Which approach allows the Specialist to use all the data to train the model?
A Machine Learning Specialist is developing a custom video recommendation model for an application. The dataset used to train this model is very large with millions of data points and is hosted in an Amazon S3 bucket. The Specialist wants to avoid loading all of this data onto an Amazon...
What is the MOST efficient way to accomplish these tasks?
A Machine Learning Specialist is working with a large cybersecurily company that manages security events in real time for companies around the world. The cybersecurity company wants to design a solution that will allow it to use machine learning to score malicious events as anomalies on the data as it...
