Explain the use and functionality of multi-level indexing in Pandas.
Instruction: Describe how to create, manipulate, and query a DataFrame with multi-level indexes.
Context: Assesses the candidate's proficiency with advanced indexing techniques, which are important for complex data structures or hierarchical datasets.
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Thank you for posing such an intriguing question. Multi-level indexing in Pandas, often referred to as hierarchical indexing, is a powerful feature that enables us to store and manipulate data with multiple levels of hierarchy within a single axis...