Final answer:
The question involves comparing the efficiency of different data indexing methods: a balanced Binary Search Tree, a Closed Hash Table, a Linear Index, and a B+ Tree, for exact match queries in a static database.
Step-by-step explanation:
The student's question relates to the performance of different data indexing methods when dealing with exact match queries in a static database. In such a scenario, where the database does not undergo any inserts or deletes, all the options provided - a balanced Binary Search Tree, a Closed Hash Table, a Linear Index, and a B+ Tree - can perform exact match queries efficiently. However, the performance can vary slightly based on the actual implementation and characteristics of the database.
A balanced Binary Search Tree provides logarithmic search time, which is efficient for exact matches. A Closed Hash Table can offer constant time search performance if there is a good hash function and low collision occurrence. A Linear Index is a simple array-like structure and can be very fast for lookups if it is compact and the data is sorted. Lastly, a B+ Tree, which is often used in databases, allows for efficient searching, and can be especially beneficial if range queries are also a consideration.