최근 더욱 많은 분들이Microsoft인증AI-901시험에 도전해보려고 합니다. ExamPassdump에서는 여러분들의 시간돠 돈을 절약해드리기 위하여 저렴한 가격에 최고의 품질을 지닌 퍼펙트한Microsoft인증AI-901시험덤플르 제공해드려 고객님의 시험준비에 편안함을 선물해드립니다. ExamPassdump제품을 한번 믿어보세요.
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저희 ExamPassdump의 덤프 업데이트시간은 업계에서 가장 빠르다고 많은 덤프구매자 분들께서 전해주셨습니다. Microsoft AI-901 덤프도 마찬가지 입니다. 저희는 수시로 덤프업데이트 가능성을 체크하여 덤프를 항상 시중에서 가장 최신버전이 될수있도록 최선을 다하고 있습니다. 구매후 1년무료업데이트서비스를 해드리기에 구매후에도 덤프유효성을 최대한 연장해드립니다.
질문 # 74
You need to convert written customer notifications into natural-sounding spoken audio that can be played over a phone system. Which Azure Speech in Foundry Tools capability should you use?
정답：C
설명：
Text-to-Speech (TTS) / Speech Synthesis within Azure Speech in Foundry Tools is exactly the correct tool to use for this scenario.
Azure Speech in Foundry Tools (formerly known as Azure AI Speech) provides robust, enterprise-grade capabilities designed to convert written text into natural-sounding, humanlike synthesized speech.
Natural-Sounding Neural Voices: The tool uses advanced deep neural networks to produce fluid phrasing, realistic intonation, and high-quality audio that mimics the human voice accurately, which is essential for clear phone notifications.
Fine-Grained Customization (SSML): By using Speech Synthesis Markup Language (SSML), you can directly adjust the pitch, volume, speaking rate, pronunciation, and pauses. This allows you to fine-tune the audio specifically for telecom standards or unique brand guidelines.
Flexible Audio Formats: The tool supports multiple audio output codecs and streaming capabilities, allowing you to generate files compatible with common telephony equipment requirements (such as specific sample rates or WAV formats).
Scalability Options: You can choose between Real-time speech synthesis for on-demand interactive voice responses (IVR) or Asynchronous batch synthesis if you need to pre-render massive bulks of notification files at once.
Reference:
https://azure.microsoft.com/en-us/products/ai-foundry/tools/speech
질문 # 75
Drag and Drop Question
You are developing an application that extracts structured information from different types of content by using Azure Content Understanding in Foundry Tools.
You need to extract scanned invoices in the PDF format and voicemail recordings in the WAV format.
Which type of analyzer should you use for each content type? To answer, drag the appropriate analyzer types to the correct content types. Each analyzer type may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
정답：
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질문 # 76
Your company processes customer support emails.
You need to implement an AI solution that automatically identifies mentions of people, organizations, and locations in the emails.
Which text analysis technique should you use?
정답：C
설명：
The correct text analysis technique is Named Entity Recognition (NER).
Microsoft defines NER as a feature that identifies and categorizes entities in unstructured text, including people, places, and organizations.
Sentiment analysis detects positive, negative, or neutral opinion. Summarization creates shorter versions of text. Key phrase extraction identifies important phrases, but it does not specifically classify mentions as people, organizations, or locations.
질문 # 77
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
A system prompt, also called a system message, is used to guide how a generative AI model behaves, including its tone, role, response style, and output format. Microsoft states that system messages help steer an Azure OpenAI chat model toward the desired behavior, tone, and output format.
Statement 1: System prompts can be used to authorize users. = No
Authorization is handled by application identity, access control, authentication, and security configuration. A system prompt can guide model behavior, but it is not an authorization mechanism.
Statement 2: A system prompt is used to reduce tokens per minute (TPM). = No TPM is a quota or throughput setting for model deployments. A system prompt does not reduce or configure TPM.
Statement 3: A system prompt guides the behavior of a generative AI model. = Yes This is correct. Microsoft documentation says system messages help steer the model's behavior, tone, and output format.
질문 # 78
Select the answer that correctly completes the sentence.
정답：
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질문 # 79
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ExamPassdump의Microsoft AI-901 덤프 구매 후 등록된 사용자가 구매일로부터 일년 이내에Microsoft AI-901시험에 실패하셨다면 ExamPassdump메일에 주문번호와 불합격성적표를 보내오셔서 환불신청하실수 있습니다.구매일자 이전에 발생한 시험불합격은 환불보상의 대상이 아닙니다. 개별 인증사는 불합격성적표를 발급하지 않기에 재시험신청내역을 환불증명으로 제출하시면 됩니다.
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