Provide a detailed, comprehensive explanation for the following concepts related to implementing an in-memory cache using a Hash Table:

1. Why a Hash Table is Ideal: Explain in detail why a Hash Table is the ideal data structure for an in-memory cache where the primary operations are storing and retrieving data by a unique key. Focus on its core strengths for this use case.
2. Average O(1) Time Complexity: Describe how a Hash Table achieves an average O(1) (constant time) complexity for insertion, deletion, and retrieval operations. Clearly explain the role of the hash function in this.
3. Hash Collisions: Define what a hash collision is in the context of a Hash Table, providing a clear example.
4. Collision Resolution Method: Describe one common method to resolve hash collisions (e.g., Separate Chaining or Open Addressing with Linear Probing), explaining how it works and its implications for performance.

Provide a detailed, comprehensive explanation for the following concepts related to implementing an in-memory cache using a Hash Table:

1. Why a Hash Table is Ideal: Explain in detail why a Hash Table is the ideal data structure for an in-memory cache where the primary operations are storing and retrieving data by a unique key. Focus on its core strengths for this use case.
2. Average O(1) Time Complexity: Describe how a Hash Table achieves an average O(1) (constant time) complexity for insertion, deletion, and retrieval operations. Clearly explain the role of the hash function in this.
3. Hash Collisions: Define what a hash collision is in the context of a Hash Table, providing a clear example.
4. Collision Resolution Method: Describe one common method to resolve hash collisions (e.g., Separate Chaining or Open Addressing with Linear Probing), explaining how it works and its implications for performance.