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AI-102 Practice Test


Page 15 out of 51 Pages

Topic 3: Misc. Questions

You have a collection of 50,000 scanned documents that contain text.
You plan to make the text available through Azure Cognitive Search.
You need to configure an enrichment pipeline to perform optical character recognition
(OCR) and text analytics. The solution must minimize costs.
What should you attach to the skillset?


A.

a new Computer Vision resource


B.

a free (Limited enrichments) Cognitive Services resource


C.

an Azure Machine Learning pipeline


D.

a new Cognitive Services resource that uses the SO pricing tier





A.
  

a new Computer Vision resource



Explanation:
The Computer Vision API uses text recognition APIs to extract and recognize text
information from images. Read uses the latest recognition models, and is optimized for
large, text-heavy documents and noisy images.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/solution-ideas/articles/cognitivesearch-
with-skillsets

Match the types of workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may he used once, more than once, or not at all.
NOTE: Each correct match is worth one point.






You are building a chatbot by using the Microsoft Bot Framework Composer. You have the
dialog design shown in the following exhibit.






You need to create a visualization of running sales totals per quarter as shown in the following exhibit.

What should you create in Cower Bl Desktop;1


A.

a waterfall chart


B.

a ribbon chart


C.

a bar chart


D.

a decomposition tree





C.
  

a bar chart



You need to recommend a non-relational data store that is optimized for storing and
retrieving text files, videos, audio streams, and virtual disk images. The data store must
store data, some metadata, and a unique ID for each file. Which type of data store should
you recommend?


A.

columnar


B.

key/value


C.

document


D.

object





D.
  

object




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