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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...
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...
Based on the model evaluation results, why is this a viable model for production?
A large mobile network operating company is building a machine learning model to predict customers who are likely to unsubscribe from the service. The company plans to offer an incentive for these customers as the cost of churn is far greater than the cost of the incentive. The model produces...
Which of the following are the operations the Specialist needs to perform to correctly sanitize and prepare the data in a repeatable manner?
A Machine Learning Specialist is creating a new natural language processing application that processes a dataset comprised of 1 million sentences. The aim is to then run Word2Vec to generate embeddings of the sentences and enable different types of predictions - Here is an example from the dataset "The quck...
What does the Specialist need to do?
A Machine Learning Specialist is packaging a custom ResNet model into a Docker container so the company can leverage Amazon SageMaker for training. The Specialist is using Amazon EC2 P3 instances to train the model and needs to properly configure the Docker container to leverage the NVIDIA GPUs. What does...
Which solution takes the LEAST effort to implement?
A Mobile Network Operator is building an analytics platform to analyze and optimize a company's operations using Amazon Athena and Amazon S3 The source systems send data in CSV format in real lime. The Data Engineering team wants to transform the data to the Apache Parquet format before storing it...
Which of the following should be used to resolve this issue?
An insurance company is developing a new device for vehicles that uses a camera to observe drivers' behavior and alert them when they appear distracted. The company created approximately 10,000 training images in a controlled environment that a Machine Learning Specialist will use to train and evaluate machine learning models...
What should the Specialist do to optimize the data for training on SageMaker?
A Machine Learning Specialist is preparing data for training on Amazon SageMaker. The Specialist is transformed into a numpy .array, which appears to be negatively affecting the speed of the training. What should the Specialist do to optimize the data for training on SageMaker?A . Use the SageMaker batch transform...
What feature engineering and model development approach should the Specialist take with a dataset this large?
A Machine Learning Specialist is working with multiple data sources containing billions of records that need to be joined. What feature engineering and model development approach should the Specialist take with a dataset this large?A . Use an Amazon SageMaker notebook for both feature engineering and model developmentB . Use...
What is the MOST likely cause of this issue?
During mini-batch training of a neural network for a classification problem, a Data Scientist notices that training accuracy oscillates. What is the MOST likely cause of this issue?A . The class distribution in the dataset is imbalancedB . Dataset shuffling is disabledC . The batch size is too bigD ....
