AI-102 exam dumps

AI-102 practice question 351 of 493

Designing and Implementing a Microsoft Azure AI Solution. Professional level, Microsoft. Free question with the correct answer and a full explanation.

AI-102 Question 351

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You are tasked with creating an Azure AI Search resource for your organization to implement an intelligent search experience. The organization requires the solution to support high availability and scale automatically based on demand. Which combination of steps should you take while provisioning the Azure AI Search resource to meet these requirements?

  1. A

    Select a pricing tier that supports replicas and partitions, such as Basic or Standard.

  2. B

    Enable availability zones to ensure high availability.

  3. C

    Choose an AI Search region that is geographically close to the users for reduced latency.

  4. D

    Configure the resource with multiple replicas and partitions to handle scaling and failover.

  5. E

    Enable the automatic scale option during resource provisioning.

Show answer and explanation

Correct answers: B, D

Explanation

To meet the requirements for high availability and automatic scaling, you must enable availability zones for redundancy and configure multiple replicas and partitions for scaling and failover. These configurations ensure the Azure AI Search resource can handle demand spikes and remain operational during failures.

  • A. Incorrect.

    Basic pricing tier does not support replicas and partitions. A higher tier, such as Standard or higher, is required for these features to support scaling and high availability.

  • B. Correct.

    Enabling availability zones ensures redundancy across physical locations within a region, which is essential for high availability.

  • C. Incorrect.

    While selecting a region close to users can reduce latency, it does not directly address high availability or automatic scaling requirements.

  • D. Correct.

    Configuring the resource with multiple replicas ensures query availability and failover, while partitions allow horizontal scaling to handle larger datasets.

  • E. Incorrect.

    Azure Cognitive Search does not have an automatic scaling option; scaling must be configured manually by adjusting replicas and partitions.

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