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| Section | Objectives |
|---|---|
| Implement Azure AI solutions | - Implement natural language processing solutions - Implement knowledge mining with Azure AI Search - Implement computer vision solutions - Implement generative AI solutions using Azure OpenAI |
| Plan and manage Azure AI solutions | - Monitor and optimize AI solutions - Select appropriate Azure AI services - Plan security and compliance requirements |
| Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
DumpTOP는 여러분이 빠른 시일 내에Microsoft AI-200인증시험을 효과적으로 터득할 수 있는 사이트입니다.Microsoft AI-200덤프는 보장하는 덤프입니다. 만약 시험에서 떨어지셨다고 하면 우리는 무조건 덤프전액 환불을 약속 드립니다. 우리DumpTOP 사이트에서Microsoft AI-200관련자료의 일부분 문제와 답 등 샘플을 제공함으로 여러분은 무료로 다운받아 체험해보실 수 있습니다. 체험 후 우리의DumpTOP에 신뢰감을 느끼게 됩니다. DumpTOP의Microsoft AI-200덤프로 자신 있는 시험준비를 하세요.
질문 # 22
You are developing a Retrieval-Augmented Generation (RAG) solution for a company. AI responses and embedding vectors are cached in Redis. The solution must meet the following requirements.
* AI responses must expire exactly 24 hours after they are cached
* Cached embeddings must always reflect the current source data.
You need to configure Redis to meet the requirements.
정답：
설명：
Explanation:
I response expiry: set a 24-hour TTL on each key. Embedding freshness: delete related cache keys when the source document changes.
Detailed Explanation: A fixed TTL encodes the requirement that an AI response must expire after a defined period rather than survive indefinitely or have its lifetime extended on every read. Embedding freshness is a separate consistency requirement: when the authoritative document changes, any cached representation derived from the old document must be invalidated immediately. Memory eviction policies are capacity- management mechanisms and cannot guarantee a precise 24-hour lifetime or source-data consistency.
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 | Azure Managed Redis documentation
질문 # 23
You have an Azure Service Bus namespace with a partitioned queue named queue1.
You plan to send a large number of messages through queue1 over the next few weeks. The order of messages will be random. You must minimize the possibility of message transmission interruption by transient failures of individual partitions.
You need to use the optimal configuration of the partition key in the messages.
Which configuration should you use?
정답：B
질문 # 24
An Azure Storage Blob upload must trigger backend processing.
The solution must:
- Avoid polling.
- Minimize latency.
- Trigger automatically when the upload occurs.
You need to ensure that processing starts as soon as a file is uploaded.
Which trigger should you implement?
정답：C
설명：
Azure Event Grid is the best trigger type to use because it pushes real-time event notifications with minimal latency and completely avoids polling.
Push-based model: Sends events instantly as blobs are created.
Lowest latency: Delivers notifications in milliseconds.
No polling overhead: Saves resources compared to timer or queue polling.
How It Works
A user uploads a file to Azure Blob Storage.Blob Storage fires an Microsoft.Storage.BlobCreated event.
Event Grid pushes this event directly to your backend endpoint (such as an Azure Function or Webhook).Processing starts right away.
Reference:
https://damle-amit075.medium.com/azure-databricks-auto-loader-plugging-the-gap-for-batch-loads-72585b0f158e
질문 # 25
You provisioned an Azure Cosmos DB for NoSQL account named account1 with the default consistency level.
You plan to configure the consistency level on a per request basis. You plan to request Consistent Prefix consistency on a per-request basis.
You need to identify the resulting consistency level for read and write operations.
Which levels result from this configuration? To answer, select the appropriate options in the answer a rea.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
Verified Answer: Read operations: Consistent Prefix. Write operations: Session (the account default remains effective for writes).
Detailed Explanation: Azure Cosmos DB allows a client or request to override consistency for reads.
Microsoft explicitly notes that such an override applies only to reads; it does not change how writes are committed and replicated under the account's configured consistency. Because a new account uses Session consistency by default, requesting Consistent Prefix affects the reads while the account continues to use its Session consistency behavior for writes. This distinction is the key point tested by the hotspot.
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 | Manage Cosmos DB consistency levels | Cosmos DB consistency level choices
질문 # 26
An AI application retrieves configuration values from App Configuration. The application uses static configuration.
You need to implement a solution that supports dynamic configuration updates and minimizes latency for application requests.
What should you do?
정답：B
설명：
Use the Azure App Configuration provider ' s caching and dynamic refresh mechanism with a configured refresh interval . The application loads configuration into a local cache and periodically checks App Configuration for changes. When a registered key changes, the provider refreshes the cached configuration without requiring an application restart. Microsoft documents SetRefreshInterval and equivalent provider settings as the mechanism for controlling the minimum time between configuration-refresh checks.
This approach satisfies both requirements. The configuration is dynamic because updated values can be detected and reloaded at runtime, while request latency remains low because normal application requests read configuration from the local cached copy instead of making a remote App Configuration request every time.
For request-driven refresh, Microsoft notes that refresh occurs asynchronously and does not block the incoming request. Before the configured refresh interval expires, additional refresh calls effectively perform no remote operation.
Microsoft also recommends caching App Configuration values instead of loading them whenever they are used, both to reduce latency and to avoid excessive service requests, throttling, and unnecessary charges.
Environment variables remain static unless the application is restarted or redeployed. Retrieving configuration on every request increases latency and service load. Key Vault is primarily intended for secrets, not general dynamic application configuration.
Study Guide references: Azure App Configuration; dynamic configuration refresh; provider caching; refresh intervals; request-driven refresh; configuration resiliency.
질문 # 27
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IT인증시험은 국제적으로 인정받는 자격증을 취득하는 과정이라 난이도가 아주 높습니다. Microsoft인증 AI-200시험은 IT인증자격증을 취득하는 시험과목입니다.어떻게 하면 난이도가 높아 도전할 자신이 없는 자격증을 한방에 취득할수 있을가요? 그 답은DumpTOP에서 찾을볼수 있습니다. DumpTOP에서는 모든 IT인증시험에 대비한 고품질 시험공부가이드를 제공해드립니다. DumpTOP에서 연구제작한 Microsoft인증 AI-200덤프로Microsoft인증 AI-200시험을 준비해보세요. 시험패스가 한결 편해집니다.
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