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Exam AI-102 topic 7 question 16 discussion

Actual exam question from Microsoft's AI-102
Question #: 16
Topic #: 7
[All AI-102 Questions]

You have an Azure subscription.

You need to build an app that will compare documents for semantic similarity. The solution must meet the following requirements:

• Return numeric vectors that represent the tokens of each document.
• Minimize development effort.

Which Azure OpenAI model should you use?

  • A. GPT-3.5
  • B. GPT-4
  • C. embeddings
  • D. DALL-E
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️
by Toby86 at July 9, 2024, 7:34 p.m.

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syupwsh
1 month, 4 weeks ago
Selected Answer: C
embeddings is CORRECT because it is designed to convert text into numeric vectors that represent the semantic meaning of tokens within a document. These embeddings can then be compared to assess the similarity between documents. This approach directly meets the requirement to return numeric vectors and minimizes development effort, as the embeddings model is specifically built for this purpose. C
upvoted 1 times
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9c652a0
7 months, 2 weeks ago
Selected Answer: C
embeddings
upvoted 1 times
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mrg998
7 months, 2 weeks ago
c for sure
upvoted 1 times
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testmaillo020
8 months ago
embeddings correct
upvoted 2 times
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Moneybing
8 months, 1 week ago
Selected Answer: C
Copilot says Azure OpenAI Service embeddings.
upvoted 1 times
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fqc
9 months, 2 weeks ago
correct
upvoted 3 times
...
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C (25%)
B (20%)
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