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NEW QUESTION 40
When submitting Amazon SageMaker training jobs using one of the built-in algorithms, which common parameters MUST be specified? (Select THREE.)

A. The training channel identifying the location of training data on an Amazon S3 bucket.B. Hyperparameters in a JSON array as documented for the algorithm used.C. The validation channel identifying the location of validation data on an Amazon S3 bucket.D. The output path specifying where on an Amazon S3 bucket the trained model will persist.E. The 1AM role that Amazon SageMaker can assume to perform tasks on behalf of the users.F. The Amazon EC2 instance class specifying whether training will be run using CPU or GPU.

Answer: A,C,E

 

NEW QUESTION 41
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 then finally pass it through a dense and fully connected layer with 10 nodes. The Specialist would like to get an output from the neural network that is a probability distribution of how likely it is that the input image belongs to each of the 10 classes.
Which function will produce the desired output?

A. DropoutB. SoftmaxC. Smooth L1 lossD. Rectified linear units (ReLU)

Answer: B

Explanation:
https://medium.com/data-science-bootcamp/understand-the-softmax-function-in-minutes- f3a59641e86d

 

NEW QUESTION 42
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 the following confusion matrix after evaluating on a test dataset of 100 customers:
Based on the model evaluation results, why is this a viable model for production?

A. The model is 86% accurate and the cost incurred by the company as a result of false negatives is less than the false positives.B. The precision of the model is 86%, which is greater than the accuracy of the model.C. The model is 86% accurate and the cost incurred by the company as a result of false positives is less than the false negatives.D. The precision of the model is 86%, which is less than the accuracy of the model.

Answer: D

 

NEW QUESTION 43
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