Free AWS Certified Machine Learning - Specialty Exam Braindumps (page: 8)

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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.)

  1. Add vanishing gradient to the model.
  2. Perform data augmentation on the training data.
  3. Make the neural network architecture complex.
  4. Use gradient checking in the model.
  5. Add L2 regularization to the model.

Answer(s): B,E



When submitting Amazon SageMaker training jobs using one of the built-in algorithms, which common parameters MUST be specified? (Choose three.)

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

Answer(s): A,E,F



A monitoring service generates 1 TB of scale metrics record data every minute. A Research team performs queries on this data using Amazon Athena. The queries run slowly due to the large volume of data, and the team requires better performance.

How should the records be stored in Amazon S3 to improve query performance?

  1. CSV files
  2. Parquet files
  3. Compressed JSON
  4. RecordIO

Answer(s): B



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?

  1. Binarization
  2. One-hot encoding
  3. Tokenization
  4. Normalization transformation

Answer(s): B



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Perumal commented on March 01, 2024
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Reddy commented on December 14, 2023
These are pretty useful
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