AWS Certified Machine Learning - Specialty Exam Guide
The **AWS Machine Learning Specialty** certification validates your expertise in building, training, and deploying ML models on AWS. It covers SageMaker, data engineering, and AI services.
Which feature engineering technique converts text categories into numerical vectors?
Answer : Word2Vec or TF-IDF.
Critical for ML algorithms to process unstructured textual data.
When would you use Amazon SageMaker Ground Truth?
Answer : To create labeled training datasets with human assistance.
Simplifies large-scale annotation of images, text, or video data.
What is Hyperparameter Tuning in SageMaker?
Answer : The automated process of finding the best settings for an algorithm (e.g., learning rate).
Uses Bayesian optimization to efficiently test the most promising combinations.
Which SageMaker algorithm is best suited for anomaly detection in time-series data?
Answer : Random Cut Forest (RCF).
An unsupervised algorithm specifically designed to identify outlier data points.
How can you reduce costs when training large ML models?
Answer : By using SageMaker Managed Spot Instances.
Allows leveraging unused EC2 capacity for training at up to a 90% discount.
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