AI-200試験感想、AI-200最新対策問題

MicrosoftのAI-200認定試験は現在のIT領域で本当に人気がある試験です。この試験の認証資格を取るのは昇進したい人々の一番良く、最も効果的な選択です。しかも、この試験を通して、あなたも自分の技能を高めて、仕事に役に立つスキルを多くマスターすることができます。そうすれば、あなたはもっと素敵に自分の仕事をやることができ、あなたの優れた能力を他の人に見せることができます。この方法だけであなたはより多くの機会を得ることができます。

Microsoft AI-200 Exam Syllabus Topics:

SectionObjectives
Topic 1: Develop AI solutions by using Azure data management services- Work with Azure data platforms for AI workloads
  • 1. Vector databases
  • 2. Data integration for AI applications
  • 3. Azure data management services
Topic 2: Secure, monitor, troubleshoot Azure solutions- Operate AI cloud solutions
  • 1. Security and secret management
  • 2. Performance optimization
  • 3. Monitoring and observability
  • 4. Troubleshooting Azure solutions
Topic 3: Develop containerized solutions on Azure- Implement containerized applications
  • 1. Manage containerized compute environments
  • 2. Deploy AI workloads in containers
  • 3. Implement scalable hosting patterns
Topic 4: Connect to and consume Azure services- Integrate Azure services
  • 1. Event-driven architectures
  • 2. Azure SDKs
  • 3. Third-party SDKs
  • 4. Serverless integration patterns
  • 5. Azure messaging and eventing

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Microsoft Developing AI Cloud Solutions on Azure 認定 AI-200 試験問題 (Q131-Q136):

質問 # 131
You are building a RAG (retrieval-augmented generation) solution using Azure AI Foundry. The knowledge base consists of 50,000 PDF documents stored in Azure Blob Storage. You need to make the document content searchable by the language model with minimal custom code. What should you use?

正解:A

解説:
Azure AI Search's integrated vectorization feature lets you point a skillset directly at a blob data source, and it handles chunking, embedding generation (via an Azure OpenAI embedding model), and indexing automatically -- minimizing custom code compared to manually building a chunking/embedding pipeline.


質問 # 132
Hotspot Question
You are developing an event-driven system that reacts to new or updated documents in Azure Cosmos DB for NoSQL.
The application must process new or updated documents as they appear in the container by using a change feed processor. The application must also maintain processor state between runs.
You need to configure the components required for stateful change feed processing.
Which components should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

正解:

解説:

Explanation:
Box 1: Monitored container.
To read new or updated documents from the source, you need to configure the monitored container. The change feed processor listens to this container for any changes and sequentially retrieves the sorted list of modified documents.
Box 2: Lease Container
Lease Container is a separate container that acts as state storage. It maintains processing checkpoints across multiple worker instances, which allows your system to resume operations from where it left off.
Box 3: Latest version mode
To process new or updated documents, you need to use the Latest version mode of the change feed.
Latest version mode is the default change feed mode. It provides only the most recent version of each changed item (inserts and updates) in the exact order they were modified. If an item is updated multiple times in quick succession, the processor will only receive the final state after the latest update.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/change-feed-processor


質問 # 133
Drag and Drop Question
You are provisioning and configuring a Service Bus processor for AI batch jobs.
The processor must connect to an existing queue, register handlers for message and error processing, and then begin receiving messages.
You need to provision and configure the Service Bus processor for message and error handling.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

正解:

解説:

Explanation:
Step 1: Create the Service Bus client
This establishes the initial connection to your Azure Service Bus namespace using a connection string or Azure Identity credentials.
Step 2: Create the Service Bus processor for the queue
Once you have a client, you call its factory method to instantiate a processor dedicated specifically to targeting your queue Step 3: Register message and error handlers The processor requires event handlers assigned to its processing and error properties to explicitly dictate what happens when a message arrives or an exception occurs Step 4: Start the message processor The processor remains idle until you call the method to start receiving, which initiates the internal loop that listens for and pulls down messages.
Reference:
https://learn.microsoft.com/en-us/azure/service-bus-messaging/service-bus-dotnet-get-started-with-queues?tabs=passwordless


質問 # 134
You are provisioning and configuring a Service Bus processor for AI batch jobs.
The processor must connect to an existing queue, register handlers for message and error processing, and then begin receiving messages.
You need to provision and configure the Service Bus processor for message and error handling.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

正解:

解説:

Explanation:

Verified Answer: 1) Create the Service Bus client; 2) create the queue processor/receiver; 3) register message and error handlers; 4) start the message processor.
Detailed Explanation: The processor depends on a namespace client/connection, so the client is created first.
Next, the queue-specific processor or receiver is created from that client. Message and error callbacks must be registered before processing starts so incoming messages and failures have defined handlers. Starting the processor is therefore the final step. Dead-lettering failed messages is an optional application settlement decision and is not a prerequisite for constructing and starting the processor.
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 | Service Bus message transfers, locks, and settlement


質問 # 135
A container in an AKS cluster repeatedly restarts.
Pod events show probe failures, although node-level CPU and memory metrics are normal.
You need to diagnose the cause of the repeating restarts.
What should you do first?

正解:B

解説:
The first troubleshooting action should be to inspect the pod events and container logs . Microsoft's AKS troubleshooting guidance identifies Kubernetes events and application logs as primary diagnostic sources when a pod repeatedly restarts or enters states such as CrashLoopBackOff. kubectl describe pod < pod-name
> exposes events including failed liveness or readiness probes, restart reasons, scheduling problems, and container termination information. kubectl logs < pod-name > provides application-level output, while kubectl logs < pod-name > --previous is particularly useful when the container has already restarted because it retrieves logs from the previous terminated container instance.
The scenario already states that node CPU and memory are normal, making node resource pressure less likely.
Probe failures can instead result from incorrect probe paths, ports, timeouts, dependency checks, slow application initialization, or application errors. Microsoft specifically recommends reviewing health probe configuration and application behavior before modifying infrastructure.
Scaling replicas does not identify the root cause. Decreasing initialDelaySeconds can actually make a slow- starting application fail sooner. Draining or rebooting the node is unjustified without evidence of a node-level fault.
Study Guide references: AKS troubleshooting # Kubernetes events, container logs, liveness/readiness probes, kubectl describe, kubectl logs --previous.


質問 # 136
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