여러분이 다른 사이트에서도Microsoft인증AI-200시험 관련덤프자료를 보셨을 것입니다 하지만 우리Fast2test의 자료만의 최고의 전문가들이 만들어낸 제일 전면적이고 또 최신 업데이트일 것입니다.우리덤프의 문제와 답으로 여러분은 꼭 한번에Microsoft인증AI-200시험을 패스하실 수 있습니다.
| Section | Objectives |
|---|---|
| Connect to and consume Azure services | - Integrate Azure services
|
| Develop containerized solutions on Azure | - Implement containerized applications
|
| Develop AI solutions by using Azure data management services | - Work with Azure data platforms for AI workloads
|
| Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
Fast2test 의 Microsoft인증 AI-200덤프는 PDF버전과 소프트웨어버전 두가지 버전으로 되어있는데 소프트웨어버전은 시뮬레이션버전입니다. 소프트웨어버전의 문제를 푸는 과정은 시험현장을 연상케하여 시험환경에 먼저 적응하여 실제시험에서 높은 점수를 받도록 도와드릴수 있습니다.
질문 # 47
You are configuring sampling for a distributed application that sends traces to Azure Monitor. The solution must:
* Preserve upstream sampling decisions across distributed traces
* Capture all spans during local testing.
* Sample 10 percent of traces in production.
You need to apply the appropriate sampling configuration for each requirement.
What should you do? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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:
Verified Answer: Preserve parent sampling decisions: ParentBasedSampler. Capture all spans locally:
AlwaysOnSampler. Sample 10% in production: TraceIdRatioBasedSampler(0.1).
Detailed Explanation: Parent-based sampling propagates the sampling decision from the upstream parent, preventing broken sampling decisions across a distributed trace. AlwaysOnSampler records every span, which is suitable for local test environments where complete trace visibility is more important than telemetry volume. TraceIdRatioBasedSampler with 0.1 selects approximately ten percent of traces based on trace identifiers, providing deterministic fixed-ratio sampling for production. A batch span processor and an exporter control processing/export, not the sampling decision itself.
Study Guide Alignment: Security and operations: Key Vault, App Configuration, managed identity, OpenTelemetry, Azure Monitor, and KQL-based troubleshooting.
Official Microsoft Learn References: AI-200 Study Guide | OpenTelemetry sampling in Azure Monitor | Enable Azure Monitor OpenTelemetry
질문 # 48
Drag and Drop Question
You are reviewing secret access patterns used by an AI application that retrieves credentials from Key Vault.
You need to evaluate the security impact of each implementation approach.
What is the outcome of each approach? To answer, move the appropriate outcomes to the correct implementations. You may use each outcome 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:
Box 1: Supports automatic rotation.
When an AI application retrieves a secret from Azure Key Vault without specifying a version, it always fetches the latest active version. This choice impacts your security and operations in the following ways:
Latest Version Fetch: The vault automatically serves the current active secret value.
No Code Changes: Your application reads the new credential immediately after rotation without a code redeployment.
Zero Downtime: Automated rotation pipelines can update the secret in Key Vault while the app seamlessly switches to the new token.
Box 2: Requires manual update after rotation
Using a specific version identifier when retrieving a secret from Key Vault means the application always requests one exact version of that secret. This choice requires manual update after rotation because the application code or configuration pins a specific version ID and will not fetch the new value when the secret rotates.
Box 3: Prevents credential storage
Prevents credential storage is the correct outcome of using managed identity for authentication.
No credentials to manage: Managed identities eliminate the need for developers to manage credentials entirely.
Automatic token handling: Azure automatically creates an identity for the application in Microsoft Entra ID and handles the service principal's lifecycle behind the scenes, ensuring that no secrets or connection strings are ever hardcoded or stored in configuration files.
Box 4: Introduces credential exposure
Introduces credential exposure and Requires manual update after rotation are the primary outcomes of storing a client secret in environment variables.
Storing clear-text secrets in environment variables poses a significant security risk. Any process, compromised dependency, or user with access to the execution environment (such as container details, application logs, or process dumps) can easily read them.
Reference:
https://medium.com/simform-engineering/building-automated-secret-rotation-using-azure-key-vault-and-net-01e0701f0a2e
https://www.varonis.com/blog/azure-managed-identities
질문 # 49
Hotspot Question
You configure an Event Grid event subscription that routes AI file-upload events to an Azure Function endpoint.
Events must be delivered only in the following conditions:
- The event path starts with /uploads/ai/.
- The payload property data.fileType is "pdf."
You must store undelivered events for later investigation and reprocessing if the subscriber endpoint cannot accept an event after multiple retries.
You need to configure the filtering and reliability settings.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
Box 1: Advanced filter
You should use an advanced filter to check that the path starts with /uploads/ai/ and that the payload property matches pdf.
Box 2: Advanced filter
Payload Property Condition: Use an Advanced Filter. While Subject filters handle prefix/suffix matching and Event Type filters handle the event schema type, Advanced filters are required to inspect deeply nested properties inside the event's data payload.
Box 3: Dead-letter destination
You should configure a Dead-letter destination to store undelivered events for later investigation and reprocessing.
Reference:
https://oneuptime.com/blog/post/2026-02-16-how-to-filter-azure-event-grid-subscription-events-with-advanced-filters/view
https://oneuptime.com/blog/post/2026-02-16-how-to-use-azure-event-grid-with-power-automate-to-react-to-blob-storage-events/view
질문 # 50
You are developing a microservices-based application that uses Azure Container Apps The application consists of several containerized services that handle tasks, such as processing orders, managing inventory, and generating reports.
You must secure the container apps. All apps must reside in the same virtual network, share the same Dapr configuration, and share the same logging location.
Apps must support the configuration of the amount of memory and compute resources available to containers.
You need to configure the Azure Container App
How should you complete the CLI command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
Verified Answer: `az containerapp env create ... --enable-workload-profiles`.
Detailed Explanation: The shared boundary for Container Apps is the managed environment. Apps in one environment can share the environment's virtual network integration, observability destination, and Dapr- related environment configuration. Enabling workload profiles provides selectable compute profiles and resource sizing options for workloads in that environment. The CLI must therefore create a Container Apps environment and enable workload profiles. Creating an individual container app alone would not establish the common environment-level network, logging, and resource-profile boundary required by the scenario.
Study Guide Alignment: Containerized Azure workloads: registry builds, App Service containers, Container Apps revision/scaling behavior, and AKS deployment choices.
Official Microsoft Learn References: AI-200 Study Guide | Azure Container Apps environments
질문 # 51
Drag and Drop Question
You are designing Azure Functions for three different backend workloads.
Each workload requires one of the following dispatching models:
- Return an immediate response to a client.
- Process background work from a queue.
- Run code on a fixed schedule.
You need to select the trigger for each requirement.
Which triggers should you select? To answer, move the appropriate triggers to the correct requirements. You may use each trigger 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:
Box 1: HTTP trigger
An HTTP trigger is the best choice for returning an immediate response to a client.
Direct connection: The client makes a standard web request and waits on the same connection.
Low latency: It avoids the delays introduced by routing messages through queues or storage.
Two-way communication: It natively supports returning payload data and HTTP status codes (e.g., 200 OK).
Box 2: Queue Storage Trigger
Azure Queue Storage Trigger or Azure Service Bus Queue Trigger is the best choice to process background work from a queue.
Azure Queue Storage Trigger:
Best for simple, low-cost message queues with high throughput and straightforward FIFO (first-in, first-out) processing needs.
Automatic Scaling: Scales out instances dynamically based on the number of messages waiting in the queue.
Reliability: Automatically handles poison messages and retries failed executions if configured correctly.
Cost Efficiency: Consumes zero compute resources when the queue is empty (especially under the Consumption plan).
Box 3: Timer trigger
An Azure Function with a timer trigger is the standard and ideal choice for running code on a fixed schedule. It acts as a serverless cron job that automatically manages execution intervals, scales automatically, and includes built-in locking mechanisms to prevent duplicate executions across multiple instances.
Reference:
https://levelup.gitconnected.com/request-driven-service-vs-event-driven-service-4bf04d642843?gi=c0bdcb16db5a
https://codilime.com/blog/enabling-first-in-first-out-pattern-microsoft-azure-service-bus-queues-topics/
질문 # 52
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만약Fast2test선택여부에 대하여 망설이게 된다면 여러분은 우선 우리Fast2test 사이트에서 제공하는Microsoft AI-200관련자료의 일부분 문제와 답 등 샘플을 무료로 다운받아 체험해볼 수 있습니다. 체험 후 우리의Fast2test에 신뢰감을 느끼게 됩니다. 우리Fast2test는 여러분이 안전하게Microsoft AI-200시험을 패스할 수 있는 최고의 선택입니다. Fast2test을 선택함으로써 여러분은 성공도 선택한것이라고 볼수 있습니다.
AI-200예상문제: https://kr.fast2test.com/AI-200-premium-file.html