Topic 5: Describe features of conversational AI workloads on Azure
Which Azure service can use the prebuilt receipt model in Azure Al Document Intelligence?
A. Azure Al Computer Vision
B. Azure Machine Learning
C. Azure Al Services
D. Azure Al Custom Vision
You need to implement a pre-built solution that will identify well-known brands in digital photographs. Which Azure Al sen/tee should you use?
A. Face
B. Custom Vision
C. Computer Vision
D. Form Recognizer
Select the:
For each of the following statements, select Yes if the statement is true. Otherwise, select
No.
NOTE: Each correct selection is worth one point.
Select the answer that correctly completes the sentence.
To complete the sentence, select the appropriate option in the answer area.
Select the answer that correctly completes the sentence.
Match the types of computer vision 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 be used once more than once, or not at all.
NOTE: Each correct match is worth one point.
correctly completes the sentence
You need to build an app that will identify celebrities in images.
Which service should you use?
A. Azure OpenAI Service
B. Azure Machine Learning
C. conversational language understanding (CLU)
D. Azure Al Vision
You are building a chatbot that will use natural language processing (NLP) to perform the
following actions based on the text input of a user:
• Accept customer orders.
• Retrieve support documents.
• Retrieve order status updates.
Which type of NLP should you use?
A. sentiment analysis
B. translation
C. language modeling
D. named entity recognition
A. Azure Al Language Service
B. Face
C. Azure Al Translator
D. Azure Al Custom Vision
Explanation:
QnA Maker is a cloud-based API service that lets you create a conversational question and-
answer layer over your existing data. Use it to build a knowledge base by extracting
questions and answers from your semi structured content, including FAQs, manuals, and
documents. Answer users’ questions with the best answers from the QnAs in your
knowledge base—automatically. Your knowledge base gets smarter, too, as it
continually learns from user behavior.
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