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AWS-Certified-Machine-Learning-Specialty-MLS-C01 – AWS Certified Machine Learning - Specialty (MLS-C01)

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Showing 4–6 of 15 questions

Question 4

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

Select all that apply, then click Submit answer.

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

An agency collects census information within a country to determine healthcare and social program needs by province and city. The census form collects responses for approximately 500 questions from each citizen.

Which combination of algorithms would provide the appropriate insights? (Choose two.)

Select all that apply, then click Submit answer.

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    The factorization machines (FM) algorithm
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    The Latent Dirichlet Allocation (LDA) algorithm
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    The principal component analysis (PCA) algorithm
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    The k-means algorithm
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    The Random Cut Forest (RCF) algorithm
Question 6

A Data Scientist is building a model to predict customer churn using a dataset of 100 continuous numerical

features. The Marketing team has not provided any insight about which features are relevant for churn

prediction. The Marketing team wants to interpret the model and see the direct impact of relevant features on

the model outcome. While training a logistic regression model, the Data Scientist observes that there is a wide

gap between the training and validation set accuracy.

Which methods can the Data Scientist use to improve the model performance and satisfy the Marketing team’s

needs? (Choose two.)

Select all that apply, then click Submit answer.

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    Add L1 regularization to the classifier
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    Add features to the dataset
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    Perform recursive feature elimination
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    Perform t-distributed stochastic neighbor embedding (t-SNE)
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    Perform linear discriminant analysis