Learning Objectives - Conversational AI Workloads on Azure (15-20%)

The video tutorial covers the learning objectives of the fifth module on conversational AI, which holds a 15-20% weightage in the exam. It discusses common use cases and features of conversational AI, including web chat bots, and briefly touches on telephonic voice menus and personal digital assistants, despite their removal from the syllabus. The tutorial also explains how to implement these features using Azure services like QnA Maker and Azure Bot Services. The course is nearing completion, and the instructor expresses excitement for the students' progress.

What percentage of the exam is dedicated to the conversational AI workload module?

• 35 to 40%

• 25 to 30%

• 15 to 20%

• 5 to 10%

Which of the following is a common use case of conversational AI discussed in the module?

• Image processing

• Web chatbots

• Weather forecasting

• Financial analysis

Which feature is no longer part of the syllabus but still covered in the module?

• Telephonic voice menus

• Web chatbots

• Social media integration

• Email automation

Which Azure service is used to implement Q&A capabilities in conversational AI?

• QnA Maker

• Azure DevOps

• Azure Cognitive Services

• Azure Machine Learning

What is the primary focus of the third section of the module?

• Implementing AI features in Azure

• Comparison of AI platforms

• Exam preparation tips

• History of conversational AI