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1.

An organization wants to improve the reliability of a search service. It's important that both read and write operations are 99.9% available. Which of these architectures would ensure this reliability?

Create an Azure AI Search service with a Storage Optimized service tier and at least two replicas.

Create an Azure AI Search service with any Standard service tier and at least three replicas.

Create an Azure AI Search service with a High-density service tier and one replica.

2.

After an Azure AI Search service has been created, which three metrics can be viewed in graphs without any other configuration?

Search latency, queries per second, and the percentage of throttled queries.

Count of documents processed, count of skills executed, and the search latency.

Number of errors per indexer, number of warnings per indexer, and the total number of documents indexed.

3.

Which of the following option is the best way to manage your search service costs?

Enable enrichment caching if you're using AI enrichment on blob storage.

Keep your search requests and responses inside the Azure datacenter boundary.

Monitor and set budget alerts for all your search resources.

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