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NEW QUESTION 47
You are an ML engineer at a global car manufacturer. You need to build an ML model to predict car sales in different cities around the world. Which features or feature crosses should you use to train city-specific relationships between car type and number of sales?

  • A. Three individual features binned latitude, binned longitude, and one-hot encoded car type
  • B. Two feature crosses as a element-wise product the first between binned latitude and one-hot encoded car type, and the second between binned longitude and one-hot encoded car type
  • C. One feature obtained as an element-wise product between latitude, longitude, and car type
  • D. One feature obtained as an element-wise product between binned latitude, binned longitude, and one-hot encoded car type

Answer: A

 

NEW QUESTION 48
A retail company is using Amazon Personalize to provide personalized product recommendations for its customers during a marketing campaign. The company sees a significant increase in sales of recommended items to existing customers immediately after deploying a new solution version, but these sales decrease a short time after deployment. Only historical data from before the marketing campaign is available for training.
How should a data scientist adjust the solution?

  • A. Add event type and event value fields to the interactions dataset in Amazon Personalize.
  • B. Use the event tracker in Amazon Personalize to include real-time user interactions.
  • C. Implement a new solution using the built-in factorization machines (FM) algorithm in Amazon SageMaker.
  • D. Add user metadata and use the HRNN-Metadata recipe in Amazon Personalize.

Answer: A

 

NEW QUESTION 49
A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a Machine Learning Specialist would like to build a binary classifier based on two features: age of account and transaction month. The class distribution for these features is illustrated in the figure provided.

Based on this information, which model would have the HIGHEST accuracy?

  • A. Support vector machine (SVM) with non-linear kernel
  • B. Long short-term memory (LSTM) model with scaled exponential linear unit (SELU)
  • C. Single perceptron with tanh activation function
  • D. Logistic regression

Answer: A

 

NEW QUESTION 50
A Data Scientist is developing a machine learning model to predict future patient outcomes based on information collected about each patient and their treatment plans. The model should output a continuous value as its prediction. The data available includes labeled outcomes for a set of 4,000 patients. The study was conducted on a group of individuals over the age of 65 who have a particular disease that is known to worsen with age.
Initial models have performed poorly. While reviewing the underlying data, the Data Scientist notices that, out of 4,000 patient observations, there are 450 where the patient age has been input as 0. The other features for these observations appear normal compared to the rest of the sample population How should the Data Scientist correct this issue?

  • A. Drop the age feature from the dataset and train the model using the rest of the features.
  • B. Use k-means clustering to handle missing features
  • C. Drop all records from the dataset where age has been set to 0.
  • D. Replace the age field value for records with a value of 0 with the mean or median value from the dataset

Answer: C

Explanation:
Explanation

 

NEW QUESTION 51
A Machine Learning Specialist is assigned a TensorFlow project using Amazon SageMaker for training, and needs to continue working for an extended period with no Wi-Fi access.
Which approach should the Specialist use to continue working?

  • A. Download TensorFlow from tensorflow.org to emulate the TensorFlow kernel in the SageMaker environment.
  • B. Download the TensorFlow Docker container used in Amazon SageMaker from GitHub to their local environment, and use the Amazon SageMaker Python SDK to test the code.
  • C. Install Python 3 and boto3 on their laptop and continue the code development using that environment.
  • D. Download the SageMaker notebook to their local environment, then install Jupyter Notebooks on their laptop and continue the development in a local notebook.

Answer: C

Explanation:
Explanation

 

NEW QUESTION 52
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