Practice Free AI-900 Exam Online Questions
HOTSPOT
You have the following apps:
• App1: Understands the public perception of a brand or topic
• App2: Applies profanity filters to speech-to-text
What does each app use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
You have a custom question answering solution.
You create a bot that uses the knowledge base to respond to customer requests. You need to identify what the bot can perform without adding additional skills.
What should you identify?
- A . Register customer complaints.
- B . Answer questions from multiple users simultaneously.
- C . Register customer purchases.
- D . Provide customers with return materials authorization (RMA) numbers.
Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
- A . dataset
- B . compute
- C . pipeline
- D . module
A,D
Explanation:
You can drag-and-drop datasets and modules onto the canvas.
Reference: https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer
DRAG DROP
Match the Al solution to the appropriate task.
To answer, drag the appropriate solution from the column on the left to its task on the right. Each solution may be used once, more than once, or not at all. NOTE: Each correct match is worth one point.
Your company manufactures widgets.
You have 1.000 digital photos of the widgets.
You need to identify the location of the widgets within the photos.
What should you use?
- A . Computer Vision Spatial Analysis
- B . Custom Vision object detection
- C . Custom Vision classification
- D . Computer Vision Image Analysis
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.
You need to convert handwritten notes into digital text.
Which type of computer vision should you use?
- A . optical character recognition (OCR)
- B . object detection
- C . image classification
- D . facial detection