当社のAI-300トレーニング資料は国内外で有名です。主な理由は、コア競争力を持たない他の会社があるためです。市場には多くの複雑な類似製品があります。独自に必要です。他の製品とのAI-300テストの質問は、AI-300学習教材を更新する最も中核的な専門家チームがあることです。製品のポイント。
| Section | Objectives |
|---|---|
| Topic 1: Plan and design AI solutions using Azure AI services | - Requirements gathering and solution architecture
|
| Topic 2: Design and implement generative AI solutions | - Large language model integration
|
| Topic 3: Operationalizing machine learning solutions | - Deployment and monitoring
|
| Topic 4: Implement secure and scalable AI systems | - Scalability and performance optimization
|
もし、あなたもAI-300試験に合格したいです。しかし、どんな資料を選択したらいいですか？お勧めしたいのはAI-300試験問題集です。購入する前に、MicrosoftのウエブサイトでAI-300試験問題集のデモをダウンロードしてみると、あなたはきっとAI-300試験問題集に魅了されます。
質問 # 78
Hotspot Question
You manage an Azure OpenAI deployment of the gpt-4o base model.
You plan to fine-tune the deployed model.
You need to prepare a file that contains training data.
Which keys should you include in each line of the training data file? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
For fine-tuning conversational models like gpt-4o on Azure OpenAI, the training file must be formatted in a JSON Lines (.jsonl) file, where each line represents a single training conversation.
Each line must strictly contain a messages key wrapping an array of message objects.
Box 1: role
role: Defines the sender of the message. The accepted strings for fine-tuning are "system",
"user", or "assistant".
Box 2: content
content: Contains the actual text string or multi-modal payload of the message.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/reinforcement-fine-tuning
質問 # 79
Hotspot Question
You are monitoring a fine-tuned large language model deployed in Microsoft Foundry.
You evaluate the model before and after fine-tuning by using the same evaluation dataset.
You review the following evaluation results:
You need to determine whether the fine-tuned model shows improved performance without introducing regression. For each of the following statements, select Yes if the statement is true.
Otherwise, select No.
NOTE: Each correct selection is worth one point.
正解：
解説：
質問 # 80
Drag and Drop Question
An organization uses Microsoft Foundry to develop generative AI projects that access shared Azure resources such as storage accounts and vector databases.
The organization s security policy requires eliminating secret key-based authentication and enforcing least-privilege access.
You must configure identity and access so that:
Services authenticate without stored credentials.
Permissions are scoped appropriately across projects and shared resources.
You need to configure the appropriate identity or access mechanism for each requirement.
What should you configure in Microsoft Foundry to meet each requirement? To answer, move the appropriate configuration mechanisms to the correct requirements. You may use each configuration mechanism 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.
正解：
解説：
質問 # 81
Hotspot Question
A biomedical research company plans to enroll people in an experimental medical treatment trial.
You create and train a binary classification model to support selection and admission of patients to the trial. The model includes the following features: Age, Gender, and Ethnicity.
The model returns different performance metrics for people from different ethnic groups.
You need to use Fairlearn to mitigate and minimize disparities for each category in the Ethnicity feature.
Which technique and constraint should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
質問 # 82
A company plans to deploy a foundation model in Microsoft Foundry.
The mode must support the following workloads:
A customer support workload used across multiple regions
A marketing workload that must remain within a specific region due to data residency requirements You need to select the deployment type.
Which deployment type should you use for each workload? To answer, move the appropriate deployment types to the correct requirements. You may use each deployment type 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.
正解：
解説：
Explanation:
For a customer support workload used across multiple regions, Global Standard deployment is the right choice: it routes each request to the nearest available Azure region automatically, reducing latency globally and providing the highest throughput and availability. For a marketing workload that must remain within a specific region due to data residency requirements, a Data Zone Standard or single-region deployment ensures all compute and data processing occurs within a defined geographic boundary, satisfying GDPR and local data sovereignty rules. Microsoft Foundry ' s deployment types are designed around exactly this trade-off:
Global routing for performance-critical multi-region workloads, and Data Zone or Regional isolation for data- residency-constrained workloads. Choosing the wrong deployment type can result in either compliance violations or unnecessary latency.
Microsoft Learn Reference Topic: Model deployment options in Microsoft Foundry - Global, Data Zone, and Regional deployment types
質問 # 83
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IT業界で仕事している皆さんはIT認定試験の資格の重要性をよく知っていているでしょう。IT認定試験には多くの種類があります。現在最も人気がある試験もいろいろあります。例えばAI-300認定試験などです。その中の試験、どちらを受験しましたか。もし一つの認証資格を持っていないなら、IT認定試験を申し込んで試験の資格を取得する必要があります。試験を受ける予定があれば、急いでTopexamへ来て必要な情報を見つけましょう。TopexamはあなたがAI-300認定試験に合格する保障ですから。
AI-300関連受験参考書: https://www.topexam.jp/AI-300_shiken.html