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How can the company enable the Amazon SageMaker service without enabling direct internet access to Amazon SageMaker notebook instances?
A company is setting up an Amazon SageMaker environment. The corporate data security policy does not allow communication over the internet. How can the company enable the Amazon SageMaker service without enabling direct internet access to Amazon SageMaker notebook instances?A . Create a NAT gateway within the corporate VPC.B ....
Which approach will provide the information required for further analysis?
Amazon Connect has recently been tolled out across a company as a contact call center. The solution has been configured to store voice call recordings on Amazon S3 The content of the voice calls are being analyzed for the incidents being discussed by the call operators Amazon Transcribe is being...
How should the Data Science team configure the notebook instance placement to meet these requirements?
A Data Science team within a large company uses Amazon SageMaker notebooks to access data stored in Amazon S3 buckets. The IT Security team is concerned that internet-enabled notebook instances create a security vulnerability where malicious code running on the instances could compromise data privacy. The company mandates that all...
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 ....
Which function will produce the desired output?
A Machine Learning Specialist is building a convolutional neural network (CNN) that will classify 10 types of animals. The Specialist has built a series of layers in a neural network that will take an input image of an animal, pass it through a series of convolutional and pooling layers, and...
Which tool should be used to improve the validation accuracy?
A Data Scientist is working on an application that performs sentiment analysis. The validation accuracy is poor and the Data Scientist thinks that the cause may be a rich vocabulary and a low average frequency of words in the dataset Which tool should be used to improve the validation accuracy?A...
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...
