Topic 5: Describe features of conversational AI workloads on Azure
Which machine learning technique can be used for anomaly detection?
A. A machine learning technique that understands written and spoken language.
B. A machine learning technique that classifies objects based on user supplied images.
C. A machine learning technique that analyzes data over time and identifies unusual changes.
D. A machine learning technique that classifies images based on their contents.
You have a dataset that contains experimental data for fuel samples.
You need to predict the amount of energy that can be obtained from a sample based on its
density.
Which type of Al workload should you use?
A. Classification
B. Clustering
C. Knowledge mining
D. Regression
Select the answer that correctly completes the sentence.
Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Box 1: Reliability and safety
To build trust, it's critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should be able to operate as they were originally designed, respond safely to unanticipated conditions, and resist harmful manipulation.
Box 2: accountability
Box 3: Privacy and security
As AI becomes more prevalent, protecting privacy and securing important personal and business information is becoming more critical and complex. With AI, privacy and data security issues require especially close attention because access to data is essential for AI systems to make accurate and informed predictions and decisions about people. AI systems must comply with privacy laws that require transparency about the collection, use, and storage of data and mandate that consumers have appropriate controls to choose how their data is used
For a machine learning progress, how should you split data for training and evaluation?
A. Use features for training and labels for evaluation.
B. Randomly split the data into rows for training and rows for evaluation.
C. Use labels for training and features for evaluation.
D. Randomly split the data into columns for training and columns for evaluation.
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 have an app that identifies the coordinates of a product in an image of a supermarket
shelf.
Which service does the app use?
A. Azure Al Custom Vision object detection
B. Azure Al Computer Vision Read
C. Azure Al Computer Vision optical character recognition (OCR)
D. Azure Al Custom Vision classification
Select the answer that correctly completes the sentence.
You need to create a model that labels a collection of your personal digital photographs.
Which Azure Al service should you use?
A. Azure Al Language
B. Azure Al Computer Vision
C. Azure Al Document Intelligence
D. Azure Al Custom Vision
Match the Azure Cognitive Services service to the appropriate actions.
To answer, drag the appropriate service from the column on the left to its action on the
right. Each service may he used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
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