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Answer: Create a complex index with custom analyzers, field mappings, and optimized settings for performance and scalability.
Creating a complex index with custom analyzers, field mappings, and optimized settings for performance and scalability ensures that the index can support complex queries and meet the performance and scalability requirements.
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You are required to create an index for an Azure AI Search solution. The index needs to support complex queries, including sorting, filtering, and wildcard searches. The index must also be optimized for performance and scalability. Describe the steps you would take to design and create this index, ensuring it meets the performance and scalability requirements.
A
Create a simple index with default settings and minimal fields.
B
Create a complex index with custom analyzers, field mappings, and optimized settings for performance and scalability.
C
Create an index with minimal fields to reduce complexity and improve performance.
D
Create an index using only the Azure portal interface with default settings.
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