Final answer:
Spark MLlib is the Spark component that supports various learning algorithms, including logistic regression, naive Bayes classification, and SVM, enabling machine learning on large-scale data.
Step-by-step explanation:
The component of the Spark unified stack that supports learning algorithms such as logistic regression, naive Bayes classification, and SVM is C) Spark MLlib. Spark MLlib is a machine learning library that provides a variety of ML algorithms and tools for constructing, evaluating, and tuning ML pipelines. It offers scalable implementations of popular learning algorithms and utilities, enabling efficient handling of large-scale data in a distributed computing environment.