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NEW QUESTION 41
A data scientist is using an Amazon SageMaker notebook instance and needs to securely access data stored in a specific Amazon S3 bucket.
How should the data scientist accomplish this?

  • A. Attach the policy to the IAM role associated with the notebook that allows GetObject, PutObject, and ListBucket operations to the specific S3 bucket.
  • B. Encrypt the objects in the S3 bucket with a custom AWS Key Management Service (AWS KMS) key that only the notebook owner has access to.
  • C. Use a script in a lifecycle configuration to configure the AWS CLI on the instance with an access key ID and secret.
  • D. Add an S3 bucket policy allowing GetObject, PutObject, and ListBucket permissions to the Amazon SageMaker notebook ARN as principal.

Answer: A

 

NEW QUESTION 42
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.
During the model evaluation, the Specialist notices that the training error rate diminishes faster as the number of epochs increases and the model is not accurately inferring on the unseen test images.
Which of the following should be used to resolve this issue? (Choose two.)

  • A. Use gradient checking in the model.
  • B. Add L2 regularization to the model.
  • C. Make the neural network architecture complex.
  • D. Perform data augmentation on the training data.
  • E. Add vanishing gradient to the model.

Answer: A,D

 

NEW QUESTION 43
The displayed graph is from a foresting model for testing a time series.
MLS-C01-8d1d18f0376a98795747ed910e50ee03.jpg
Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?

  • A. The model predicts the trend well, but not the seasonality.
  • B. The model predicts the seasonality well, but not the trend.
  • C. The model does not predict the trend or the seasonality well.
  • D. The model predicts both the trend and the seasonality well.

Answer: C

 

NEW QUESTION 44
A Machine Learning Specialist is working with a media company to perform classification on popular articles from the company's website. The company is using random forests to classify how popular an article will be before it is published A sample of the data being used is below.
Given the dataset, the Specialist wants to convert the Day-Of_Week column to binary values.
What technique should be used to convert this column to binary values.
MLS-C01-352e15ed4447671cdb35ebf2538b775c.jpg

  • A. Tokenization
  • B. Normalization transformation
  • C. Binarization
  • D. One-hot encoding

Answer: A

 

NEW QUESTION 45
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 batch size is too big.
  • B. The class distribution in the dataset is imbalanced.
  • C. The learning rate is very high.
  • D. Dataset shuffling is disabled.

Answer: C

Explanation:
https://towardsdatascience.com/deep-learning-personal-notes-part-1-lesson-2-8946fe970b95

 

NEW QUESTION 46
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