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You need to identify unusual values in each time series to help prognosticate ministry failures. Which Azure Cognitive Services service should you use?
a) Anomaly Sensor
b) Cognitive Hunt
c) Form Recognizer
d) Custom Vision

04. You're developing a new deals system that will Microsoft AI-102 Exam Dumps reuse the videotape and textbook from a public- facing website. You plan to cover the deals system to insure that it provides indifferent results anyhow of the stoner's position or background.
Which two responsible AI principles give guidance to meet the monitoring conditions?
Choose two.)
a) translucency
b) Fairness
c) Inclusiveness
d) trustability and safety
e) sequestration and security

05. You make a conversational bot named bot1. You need to configure the bot to use a QnA Maker operation. From the Azure Portal, where can you find the information needed by bot1 to connect to the Q & as Maker operation?
a) Access control( IAM)
b) parcels
c) Keys and Endpoint
d) Identity

06. You're training a Language Understanding model for a stoner support system. You produce the first intent named Get Contact Details and add 200 exemplifications.
You need to drop the liability of a false positive. What should you do?
a) Enable active literacy.
b) Add a machine learned reality.
c) Add fresh exemplifications to the Get Contact Details intent.
d) Add exemplifications to the None intent.

07. You use the Custom Vision service to make a classifier. After training is complete, you need to estimate the classifier. Which two criteria are available for review?
Choose two.)
a) recall
b) F- score
c) weighted delicacy
d) perfection
e) area under the wind( AUC)
08. Your company wants to reduce how long it takes for workers to log bills in expenditure reports. All the bills are in English.
You need to prize top- position information from the bills, similar as the seller and the sale total. The result must minimize development trouble.
Which Azure Cognitive Services service should you use?
a) Custom Vision
b) Personalizer
c) Form Recognizer
d) Computer Vision

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