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Question 1

You have an Al-based loan approval system. During testing, you discover that the system has a gender bias. Which responsible Al principle does this violate?

Options :

A : accountability

B : transparency

C : fairness

D : reliability and safety

Answer: C

Question 2

Which two scenarios are examples of a natural language processing workload? Each correct answer presents a complete solution. NOTE; Each correct selection is worth one point.

Options :

A : assembly line machinery that autonomously inserts headlamps into cars

B :

a smart device in the home that responds to questions such as, "What will the weather be like today?

C :

monitoring the temperature of machinery to turn on a fan when the temperature reaches a specific threshold

D : a website that uses a knowledge base to interactively respond to users' questions

Answer: B,D

Question 3

An app that analyzes social media posts to identify their tone is an example of which type of natural language processing (NLP) workload?

Options :

A : sentiment analysis

B : key phrase extraction

C : entity recognition

D : speech recognition

Answer: A

Question 4

HOTSPOT For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

Options :

A : You can use the Speech service to transcribe a call to text.

B : You can use the Text Analytics service to extract key entities from a call transcript.

C : You can use the Speech service to translate the audio Of a call to a different language.

Answer: A,B,C

Question 5

Which parameter should you configure to produce a more diverse range of tokens in the responses from a chat solution that uses the Azure OpenAI GPT-3.5 model?

Options :

A : Max response

B : Past messages included

C : Presence penalty

D : Stop sequence

Answer: C