네트워크 전성기에 있는 지금 인터넷에서Microsoft 인증AI-200시험자료를 많이 검색할수 있습니다. 하지만 왜Pass4Test덤프자료만을 믿어야 할가요? Pass4Test덤프자료는 실제시험문제의 모든 유형에 근거하여 예상문제를 묶어둔 문제은행입니다.시험적중율이 거의 100%에 달하여Microsoft 인증AI-200시험을 한방에 통과하도록 도와드립니다.
| Section | Objectives |
|---|---|
| Topic 1: Plan and manage Azure AI solutions | - Select appropriate Azure AI services - Plan security and compliance requirements - Monitor and optimize AI solutions |
| Topic 2: Implement and monitor AI workloads | - Deploy AI models and services - Monitor performance and troubleshoot issues |
| Topic 3: Implement Azure AI solutions | - Implement natural language processing solutions - Implement computer vision solutions - Implement knowledge mining with Azure AI Search - Implement generative AI solutions using Azure OpenAI |
Pass4Test는 다른 회사들이 이루지 못한 Pass4Test만의 매우 특별한 이점을 가지고 있습니다.Pass4Test의Microsoft AI-200덤프는 전문적인 엔지니어들의Microsoft AI-200시험을 분석이후에 선택이 된 문제들이고 적지만 매우 가치 있는 질문과 답변들로 되어있는 학습가이드입니다.고객들은 단지 Pass4Test에서 제공해드리는Microsoft AI-200덤프의 질문과 답변들을 이해하고 마스터하면 첫 시험에서 고득점으로 합격을 할 것입니다.
질문 # 132
You are implementing an application by using Azure Event Grid to push near-real-time information to customers.
You have the following requirements:
* You must send events to thousands of customers that include hundreds of various event types.
* The events must be filtered by event type before processing.
* Authentication and authorization must be handled by using Microsoft Entra ID.
* The events must be published to a single endpoint
You need to implement Azure Event Grid
Solution: Publish events to a partner topic. Create an event subscription for each customer.
Does the solution meet the goal?
정답：A
설명：
Detailed Explanation: The proposed partner-topic design does not match the stated need for one publisher endpoint that can fan events into thousands of logically distinct customer topics. Event Grid domains are specifically designed to expose a single publishing endpoint while containing large numbers of topics, with subscriptions and filtering applied at the topic level. Partner topics are intended for partner-published SaaS events and do not substitute for the domain architecture required by this high-scale custom publishing scenario.
Study Guide Alignment: Azure service integration: Service Bus, Event Grid, Azure Functions triggers
/bindings, and event-driven processing.
Official Microsoft Learn References: AI-200 Study Guide | Azure Event Grid event domains | Authenticate Event Grid publishing with Microsoft Entra ID
질문 # 133
You are designing an Azure Database for PostgreSQL table for semantic search. Queries frequently filter on the created_at column. The schema must support vector similarity search and reliable date filtering You need to ensure that the table meets the requirements.
Which two actions should you perform? Each correct answer presents part of the solution. Choose two NOTE: Each correct selection is worth one point.
정답：A,C
설명：
Detailed Explanation: A semantic-search schema should use the pgvector vector type for embeddings so PostgreSQL can apply vector distance operators and vector indexes. The creation timestamp should use an actual timestamp data type so comparisons, range predicates, ordering, and indexes use date semantics rather than string ordering. Storing vectors or dates as free-form character data would sacrifice type validation and make similarity or date filtering less efficient and less reliable.
Study Guide Alignment: AI data-management workloads: Cosmos DB, PostgreSQL, caching, vector storage, vector retrieval, consistency, and connection optimization.
Official Microsoft Learn References: AI-200 Study Guide | Vector similarity search with Azure PostgreSQL
질문 # 134
You need to troubleshoot connectivity failures between microservices running in AKS.
Which troubleshooting actions should you perform? To answer, move the appropriate action to the correct troubleshooting scenario. You may use each action once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
* Service fails to communicate with another service: Inspect Kubernetes service endpoints.
* Pod restarts repeatedly: Inspect container logs.
* Readiness probe failures are observed: Inspect Pod descriptions.
For a service-to-service communication failure , first inspect the Kubernetes service endpoints . Microsoft' s AKS troubleshooting guidance recommends verifying that the destination pod IP address and application port appear as endpoints for the Kubernetes Service. An empty or incorrect endpoint list commonly indicates a selector/label mismatch, incorrect port configuration, or unavailable backend pods.
For a pod that restarts repeatedly , inspect the container logs , including the previous container instance when necessary. Microsoft specifically recommends kubectl logs < pod > --previous for workloads that repeatedly restart because it exposes application errors and termination messages from the container immediately before the restart.
For readiness probe failures , inspect the Pod description by using kubectl describe pod. The description exposes the configured health probes, pod conditions, container state, and associated probe-failure events, allowing you to determine whether the probe path, port, timing, or application readiness behavior is incorrect.
Microsoft recommends reviewing kubectl describe output when pods are not Ready or health probes are failing.
Therefore, the correct mapping is service endpoints # container logs # Pod descriptions .
Study Guide references: AKS troubleshooting; Kubernetes Services and endpoints; container logging; Pod health; readiness/liveness probes; kubectl describe and kubectl logs.
질문 # 135
Hotspot Question
A Python web API uses OpenTelemetry for tracing. The call_downstream_service function makes an outbound HTTP request by using the requests library.
The following code is the only OpenTelemetry configuration in the application:
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
Box 1: Yes
This code will successfully create a local span for the process_request function, but it will not automatically create or propagate spans for the outbound HTTP request made by the requests library.
Box 2: No
Manual tracing only: Your current configuration only creates a span for the code wrapped inside the with tracer.start_as_current_span(...) context manager.
Box 3: Yes
Missing instrumentation: The standard requests library does not natively know about OpenTelemetry. It requires an external instrumentation package to hook into its network calls.
Reference:
https://learn.microsoft.com/en-us/python/api/overview/azure/core-tracing-opentelemetry-readme
질문 # 136
Your Azure AI Search index must support both exact keyword matches on product SKUs and semantic similarity search on product descriptions in a single query. What should you configure?
정답：B
설명：
Hybrid search in Azure AI Search combines traditional keyword (BM25) search over text fields with vector similarity search over embedding fields in a single query, giving both exact-match precision (SKUs) and semantic recall (descriptions).
질문 # 137
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Microsoft AI-200인증시험덤프는 적중율이 높아 100% Microsoft AI-200Microsoft AI-200시험에서 패스할수 있게 만들어져 있습니다. 덤프는 IT전문가들이 최신 실러버스에 따라 몇년간의 노하우와 경험을 충분히 활용하여 연구제작해낸 시험대비자료입니다. 저희 Microsoft AI-200덤프는 모든 시험유형을 포함하고 있는 퍼펙트한 자료기에 한방에 시험패스 가능합니다.
AI-200완벽한 덤프공부자료: https://www.pass4test.net/AI-200.html