MLS-C01 Free Practice Test

A Machine Learning Specialist is implementing a full Bayesian network on a dataset that describes public transit in New York City. One of the random variables is discrete, and represents the number of minutes New Yorkers wait for a bus given that the buses cycle every 10 minutes, with a mean of 3 minutes.
Which prior probability distribution should the ML Specialist use for this variable?

1. A. Poisson distribution ,
2. B. Uniform distribution
3. C. Normal distribution
4. D. Binomial distribution

Correct Answer: D

Which of the following metrics should a Machine Learning Specialist generally use to compare/evaluate machine learning classification models against each other?

1. A. Recall
2. B. Misclassification rate
3. C. Mean absolute percentage error (MAPE)
4. D. Area Under the ROC Curve (AUC)

Correct Answer: A

A Machine Learning Specialist is working with multiple data sources containing billions of records that need to be joined. What feature engineering and model development approach should the Specialist take with a dataset this large?

1. A. Use an Amazon SageMaker notebook for both feature engineering and model development
2. B. Use an Amazon SageMaker notebook for feature engineering and Amazon ML for model development
3. C. Use Amazon EMR for feature engineering and Amazon SageMaker SDK for model development
4. D. Use Amazon ML for both feature engineering and model development.

Correct Answer: B

A Data Science team is designing a dataset repository where it will store a large amount of training data commonly used in its machine learning models. As Data Scientists may create an arbitrary number of new datasets every day the solution has to scale automatically and be cost-effective. Also, it must be possible to explore the data using SQL.
Which storage scheme is MOST adapted to this scenario?

1. A. Store datasets as files in Amazon S3.
2. B. Store datasets as files in an Amazon EBS volume attached to an Amazon EC2 instance.
3. C. Store datasets as tables in a multi-node Amazon Redshift cluster.
4. D. Store datasets as global tables in Amazon DynamoDB.

Correct Answer: A