Quick Answer
The correct answer is to use a single index with a tenant ID field and filter queries by that field, because this implements index-level security—the recommended pattern for implementing multi-tenancy in Azure AI Search. By adding a tenant ID field to every document and applying a filter on that field for each search request, you isolate each tenant’s data within a single index without duplicating infrastructure. On the Microsoft Azure AI Engineer Associate AI-102 exam, this scenario tests your understanding of cost-effective data isolation strategies versus common traps like creating separate services per tenant (costly and unnecessary) or relying on data sources or skillsets, which are not security boundaries. A key memory tip is to think of the tenant ID as a “room key” inside one building—everyone shares the same index structure, but filters ensure only the right tenant sees their documents.
This AI-102 practice question tests your understanding of implement knowledge mining and information extraction solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Your knowledge mining solution ingests documents from multiple tenants. Each tenant's data must be isolated and searchable only by that tenant. You have a single Azure AI Search service. How should you implement multi-tenancy?
Use separate skillsets for each tenant
Why wrong: Skillsets do not provide data isolation.
Create a separate search service for each tenant
Why wrong: Expensive and hard to manage.
Use a single index with a tenant ID field and filter queries by that field
Index-level security with filters is the recommended approach.
Use separate data sources within the same index
Why wrong: Data sources do not enforce tenant isolation.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Use a single index with a tenant ID field and filter queries by that field
Option C is correct because index-level security with filters is the recommended pattern for multi-tenancy. Option A is wrong because multiple services are costly and unnecessary. Option B is wrong because data sources are not security boundaries. Option D is wrong because skillsets are stateless and do not provide isolation.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Use separate skillsets for each tenant
Why it's wrong here
Skillsets do not provide data isolation.
Create a separate search service for each tenant
Why it's wrong here
Expensive and hard to manage.
Use a single index with a tenant ID field and filter queries by that field
Why this is correct
Index-level security with filters is the recommended approach.
Related concept
Static NAT maps one inside address to one outside address.
Use separate data sources within the same index
Why it's wrong here
Data sources do not enforce tenant isolation.
Common exam traps
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI-102 NAT questions on configuration and troubleshooting.
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FAQ
Implement knowledge mining and information extraction solutions — This question tests Implement knowledge mining and information extraction solutions — Static NAT maps one inside address to one outside address..
The correct answer is: Use a single index with a tenant ID field and filter queries by that field — Option C is correct because index-level security with filters is the recommended pattern for multi-tenancy. Option A is wrong because multiple services are costly and unnecessary. Option B is wrong because data sources are not security boundaries. Option D is wrong because skillsets are stateless and do not provide isolation.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI-102 NAT questions on configuration and troubleshooting.
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 20, 2026
This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.
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