Performance in Azure Analysis Services focuses on optimizing data models, queries, and processing efficiency to ensure fast and reliable analytics. It covers techniques such as partitioning, query optimization, efficient data modeling, and resource management to improve performance. Learners will understand how to monitor workloads, identify bottlenecks, and apply best practices to enhance scalability and responsiveness in Azure Analysis Services environments.