Exam AI-100 topic 2 question 19 discussion

Actual exam question from Microsoft's AI-100

Question #: 19
Topic #: 2

You have a Face API solution that updates in real time. A pilot of the solution runs successfully on a small dataset.
When you attempt to use the solution on a larger dataset that continually changes, the performance degrades, slowing how long it takes to recognize existing faces.
You need to recommend changes to reduce the time it takes to recognize existing faces without increasing costs.
What should you recommend?

A. Change the solution to use the Computer Vision API instead of the Face API.
B. Separate training into an independent pipeline and schedule the pipeline to run daily.
C. Change the solution to use the Bing Image Search API instead of the Face API.
D. Distribute the face recognition inference process across many Azure Cognitive Services instances.

Show Suggested Answer

Suggested Answer: B 🗳️
Incorrect Answers:
A: The purpose of Computer Vision is to inspects each image associated with an incoming article to (1) scrape out written words from the image and (2) determine what types of objects are present in the image.
C: The Bing API provides an experience similar to Bing.com/search by returning search results that Bing determines are relevant to a user's query. The results include Web pages and may also include images, videos, and more.
D: That would increase cost.
References:
https://github.com/Azure/cognitive-services

by Nickname__for__discussions at March 19, 2021, 9:40 p.m.

Comments

Submit Cancel

rveney

2 years ago

recommended approach to reduce the time it takes to recognize existing faces without increasing costs is to distribute the face recognition inference process across multiple Azure Cognitive Services instances (Option D).

upvoted 1 times

...

berserkguts

4 years ago

this was in the AI-100 exam i took today, May 31

upvoted 1 times

...

Nicknamefordiscussions

4 years, 3 months ago

correct

upvoted 2 times

...