2026年CertShikenの最新AB-731 PDFダンプおよびAB-731試験エンジンの無料共有：https://drive.google.com/open?id=1yeqViL9kQOq8RR-D3DCG7wY8OvyuTLXT
試験に関する最新情報を入手することで、すべてのお客様がAB-731試験に簡単に合格できると信じています。教材を購入すると、AB-731試験に関する最新情報を入手できます。さらに重要なことは、当社の更新システムはすべてのお客様に無料で提供されることです。弊社のAB-731トレーニング資料を購入して使用することに決めた場合、間違いなく試験に合格することは非常に簡単です。当社のAB-731最新の質問により、近い将来にあなたの夢を実現できることを心から願っています。
| トピック | 出題範囲 |
|---|---|
| トピック 1 |
|
| トピック 2 |
|
| トピック 3 |
|
AB-731認定試験についてのことですが、CertShikenは素晴らしい資質を持っていて、最も信頼できるソースになることができます。何千何万の登録された部門のフィードバックによって、それに大量な突っ込んだ分析を通じて、我々はどのサプライヤーがお客様にもっと新しいかつ高品質のAB-731資料を提供できるかを確かめる存在です。CertShiken のMicrosoftのAB-731トレーニング資料は絶え間なくアップデートされ、修正されていますから、MicrosoftのAB-731試験のトレーニング経験を持っています。現在、認証試験に合格したいのならCertShiken のMicrosoftのAB-731トレーニング資料を利用してください。さあ、最新のCertShiken のMicrosoftのAB-731問題集にショッピングカートに入れましょう。あなたに予想外の良い効果を見せられますから。
質問 # 63
Your company sells hiking and camping gear online. You need a generative AI solution that can interact with customers and ask questions about their needs. What should you include in the solution?
正解：C
質問 # 64
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：
Explanation:
The answer Area
* A manufacturer can use Azure Vision in Foundry Tools to identify product defects on an assembly line.
The answer : Yes
* A logistics company can use Azure Vision in Foundry Tools to recognize package shipping labels.
The answer : Yes
* The HR department at your company can only use Azure Vision in Foundry Tools to extract written content from Microsoft Word files. Answer: No Azure Vision in Foundry Tools provides computer vision capabilities to analyze images, including identifying visual features and reading text with OCR. Because it is designed to "analyze images" and support vision scenarios, it can be applied to manufacturing quality inspection use cases where the goal is to detect anomalies
/defects from images captured on a production line. This aligns with statement 1 being Yes.
Statement 2 is also Yes because recognizing shipping labels is fundamentally text extraction from images (often plus some layout/field parsing). Azure Vision supports optical character recognition (OCR) to read printed text from images, and Microsoft documentation explicitly notes OCR can extract text from images such as product labels and similar real-world text surfaces-making shipping labels a direct fit.
Statement 3 is No because it is incorrectly restrictive. Azure Vision is not limited to extracting written content from Word documents, nor is OCR restricted to Word files. Vision capabilities apply broadly to images (and, depending on the capability, various document/image inputs) for tasks like image analysis and text recognition. HR could use it for many scenarios such as extracting text from scanned images, photos, or other visual inputs-not "only" Word files.
質問 # 65
Your company deploys an AI-powered loan approval solution that enables applicants to request an explanation as to why their loan application was denied.
Which Microsoft responsible AI principle is this an example of?
正解：A
解説：
The correct answer is A. transparency. Transparency means users and stakeholders should understand when AI is being used, what the AI system can do, what its limitations are, and how important outputs or decisions were produced. In this scenario, applicants can request an explanation for why a loan application was denied. That explanation capability makes the AI-assisted decision more understandable and reviewable, which directly supports transparency. Fairness is related to avoiding unjust bias or discriminatory outcomes. Privacy and security focus on protecting personal and organizational data. Inclusiveness focuses on ensuring AI systems work for people with different abilities, backgrounds, and experiences. Because the scenario is specifically about explaining a decision, the best answer is transparency.
質問 # 66
- What should you use for each task? To answer, select the appropriate options in the answer area. NOTE:
Each correct selection is worth one point.
正解：
解説：
Explanation:
Answer Area
* Extracting structured data from forms and invoices: Answer: Azure Document Intelligence in Foundry Tools
* Summarizing written content from business reports: Answer: Azure Language in Foundry Tools
* Generating descriptive text for uploaded images: Answer: Azure Vision in Foundry Tools These three tasks align to three different Azure AI capability families: document processing, language understanding/generation, and computer vision.
* Forms and invoices are semi-structured documents where the business need is to extract specific fields (IDs, names, totals, dates) reliably into structured output. Azure Document Intelligence is designed for intelligent document processing and includes prebuilt models (such as invoices) as well as custom extraction options, making it the correct choice for structured data extraction from documents.
* Summarizing written business reports is an NLP task focused on compressing long text into key points, themes, and action items. Azure Language provides language processing capabilities (including summarization features within language service capabilities), so it is the best fit for summarization scenarios.
* Generating descriptive text for images (image captioning/description) is a computer vision task. Azure Vision can analyze uploaded images and return descriptions/captions and other visual insights, which directly matches the requirement to produce descriptive text from images.
質問 # 67
- Select the answer that correctly completes the sentence.
An organization that runs continuous, large-scale workloads with Azure OpenAI models should choose the
__________ pricing model.
正解：
解説：
Explanation:
Provisioned (PTUs)
For continuous, large-scale workloads, the key needs are predictable throughput, consistent latency, and cost
/performance stability. Azure OpenAI Provisioned Throughput Units (PTUs) are designed for this scenario because you reserve model capacity to meet sustained demand. This reduces the risk of variability that can occur with purely on-demand usage during peak periods and provides a more predictable operating model when the workload is always "on" and high volume.
Standard (On-Demand) is best when usage is variable or you're starting small (PoCs, pilots, spiky workloads), because it is flexible pay-as-you-go but can be less predictable at sustained scale. Batch API is optimized for asynchronous, non-interactive processing where you can tolerate delayed results (for example, large offline summarization jobs), not for always-on, real-time interactions at scale.
Therefore, for continuous high-volume production workloads, Provisioned (PTUs) is the best pricing model choice.
質問 # 68
......
CertShikenが提供したMicrosoftのAB-731トレーニング資料はあなたが自分の夢を実現することを助けられます。 CertShikenはすべてのMicrosoftのAB-731試験に受かるための資料に含まれていますから。CertShikenを手にすると、あなたは安心に試験の準備に身を投げられるようになります。CertShikenは高品質なトレーニング資料を提供して、あなたが試験に合格することを保証します。明るい未来を準備してあげます。
AB-731赤本合格率: https://www.certshiken.com/AB-731-shiken.html
P.S. CertShikenがGoogle Driveで共有している無料かつ新しいAB-731ダンプ：https://drive.google.com/open?id=1yeqViL9kQOq8RR-D3DCG7wY8OvyuTLXT