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| Section | Weight | Objectives |
|---|---|---|
| Describe AI workloads and considerations | 20-25% | - Fundamentals of artificial intelligence concepts
|
| Features of computer vision workloads on Azure | 15-20% | - Computer vision solutions
|
| Features of natural language processing (NLP) workloads on Azure | 30-35% | - Text analytics and language understanding
|
| Fundamentals of machine learning on Azure | 25-30% | - Core machine learning concepts
|
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NEW QUESTION # 13
correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 14
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 15
You need to develop a chatbot for a website. The chatbot must answer users questions based on the information m the following documents
* A product troubleshooting guide m a Microsoft Word document
* A frequently asked questions (FAQ) list on a webpage
Which service should you use to process the documents?
Answer: A
Explanation:
QnA Maker (now part of Azure AI Language Service - Custom Question Answering) enables bots to answer user queries by extracting questions and answers from structured sources like FAQs, webpages, and documents (e.g., Word, PDF). In this scenario, where data comes from a Microsoft Word troubleshooting guide and a FAQ webpage, QnA Maker automatically extracts knowledge and creates a searchable knowledge base.
Other options are incorrect:
* A. Language Understanding (LUIS): Detects intents, not question-answer pairs.
* B. Text Analytics: Extracts key phrases and sentiment but does not support conversational responses.
* C. Azure Bot Service: Hosts bots, but it requires QnA Maker for knowledge sources.
NEW QUESTION # 16
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Explanation
Accelerate your business processes by automating information extraction. Form Recognizer applies advanced machine learning to accurately extract text, key/value pairs, and tables from documents. With just a few samples, Form Recognizer tailors its understanding to your documents, both on-premises and in the cloud.
Turn forms into usable data at a fraction of the time and cost, so you can focus more time acting on the information rather than compiling it.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/form-recognizer/
NEW QUESTION # 17
You plan to develop an Al application that will read the license plates of motor vehicles by using Microsoft Foundry. What should you use to develop the application?
Answer: B
NEW QUESTION # 18
......
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