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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 model should be used to complete this work?
A Machine Learning Specialist was given a dataset consisting of unlabeled data. The Specialist must create a model that can help the team classify the data into different buckets. What model should be used to complete this work?A . K-means clusteringB . Random Cut Forest (RCF)C . XGBoostD . BlazingTextView...
How should the Specialist address this issue and what is the reason behind it?
A Machine Learning Specialist built an image classification deep learning model. However the Specialist ran into an overfitting problem in which the training and testing accuracies were 99% and 75%r respectively. How should the Specialist address this issue and what is the reason behind it?A . The learning rate should...
What should the Specialist do to prepare the data for model training'?
A Machine Learning Specialist is building a model to predict future employment rates based on a wide range of economic factors While exploring the data, the Specialist notices that the magnitude of the input features vary greatly. The Specialist does not want variables with a larger magnitude to dominate the...
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...
Which visualization will accomplish this?
A Machine Learning Specialist kicks off a hyperparameter tuning job for a tree-based ensemble model using Amazon SageMaker with Area Under the ROC Curve (AUC) as the objective metric This workflow will eventually be deployed in a pipeline that retrains and tunes hyperparameters each night to model click-through on data...
What option can the Specialist use to determine whether it is overestimating or underestimating the target value?
A Machine Learning Specialist trained a regression model, but the first iteration needs optimizing. The Specialist needs to understand whether the model is more frequently overestimating or underestimating the target. What option can the Specialist use to determine whether it is overestimating or underestimating the target value?A . Root Mean...
How should the Specialist frame this business problem'?
A Machine Learning Specialist works for a credit card processing company and needs to predict which transactions may be fraudulent in near-real time. Specifically, the Specialist must train a model that returns the probability that a given transaction may be fraudulent. How should the Specialist frame this business problem'?A ....
Given the following confusion matrix for a movie classification model, what is the true class frequency for Romance and the predicted class frequency for Adventure?
Given the following confusion matrix for a movie classification model, what is the true class frequency for Romance and the predicted class frequency for Adventure? A . The true class frequency for Romance is 77.56% and the predicted class frequency for Adventure is 20 85%B . The true class frequency...
Which technique can be used to improve model performance in terms of accuracy in the validation set?
This graph shows the training and validation loss against the epochs for a neural network. The network being trained is as follows • Two dense layers one output neuron • 100 neurons in each layer • 100 epochs • Random initialization of weights Which technique can be used to improve...
