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Which prior probability distribution should the ML Specialist use for this variable?
A Machine Learning Specialist is implementing a full Bayesian network on a dataset that describes public transit in New York City. One of the random variables is discrete, and represents the number of minutes New Yorkers wait for a bus given that the buses cycle every 10 minutes, with a...
Given the large number of stores and the legacy data ingestion, which change will require the LEAST amount of development effort?
A retail chain has been ingesting purchasing records from its network of 20,000 stores to Amazon S3 using Amazon Kinesis Data Firehose To support training an improved machine learning model, training records will require new but simple transformations, and some attributes will be combined. The model needs lo be retrained...
When using the hyperparameter optimization feature, which of the following guidelines should be followed to improve optimization?
A Machine Learning Specialist is configuring automatic model tuning in Amazon SageMaker. When using the hyperparameter optimization feature, which of the following guidelines should be followed to improve optimization? Choose the maximum number of hyperparameters supported byA . Amazon SageMaker to search the largest number of combinations possibleB . Specify...
What steps should be taken to implement a machine learning model to identify potential new customers on social media?
A Marketing Manager at a pet insurance company plans to launch a targeted marketing campaign on social media to acquire new customers Currently, the company has the following data in Amazon Aurora • Profiles for all past and existing customers • Profiles for all past and existing insured pets •...
What technologies meet the company's requirements?
IT leadership wants Jo transition a company's existing machine learning data storage environment to AWS as a temporary ad hoc solution. The company currently uses a custom software process that heavily leverages SOL as a query language and exclusively stores generated csv documents for machine learning The ideal state for...
Which of the following modeling techniques should the Specialist use1?
A Machine Learning Specialist is building a supervised model that will evaluate customers' satisfaction with their mobile phone service based on recent usage. The model's output should infer whether or not a customer is likely to switch to a competitor in the next 30 days. Which of the following modeling...
Which built-in Amazon SageMaker machine learning algorithm should be used for modeling this problem?
A bank's Machine Learning team is developing an approach for credit card fraud detection. The company has a large dataset of historical data labeled as fraudulent. The goal is to build a model to take the information from new transactions and predict whether each transaction is fraudulent or not Which...
For the given confusion matrix, what is the recall and precision of the model?
For the given confusion matrix, what is the recall and precision of the model? A . Recall = 0.92 Precision = 0.84B . Recall = 0.84 Precision = 0.8C . Recall = 0.92 Precision = 0.8D . Recall = 0.8 Precision = 0.92View AnswerAnswer: C Explanation: Recall and precision are...
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 compute choice should the Machine Learning Specialist select to train and achieve good accuracy on the model quickly?
An e-commerce company needs a customized training model to classify images of its shirts and pants products. The company needs a proof of concept in 2 to 3 days with good accuracy. Which compute choice should the Machine Learning Specialist select to train and achieve good accuracy on the model...
