AI and Machine Learning Quiz

Which type of machine learning should you use to predict the number of mobile phones that will be sold next month?

• Regression

• Classification

• Clustering

Answer explanation

Regression is a form of machine learning that is used to predict a numeric label based on an item’s features. For example, an automobile sales company might use the characteristics of car (such as engine size, number of seats, mileage, and so on) to predict its likely selling price.

https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/introduction

You are working on a classification model and currently examining the values of a confusion matrix. Which machine learning task most appropriately describes the scenario?

• model evaluation

• feature selection

• model training

• model deployment

• feature engineering

Answer explanation

examining the values of a confusion matrix – model evaluation
https://docs.microsoft.com/en-us/learn/modules/create-classification-model-azure-machine-learning-designer/evaluate-model

An automated chat to answer questions about the price of a product, orders, refunds, exchanges and returns is an example of _______.

• anomaly detection

• natural language processing

• conversational AI

• computer vision

• knowledge mining

As per below description which Microsoft guiding principles for responsible AI is followed. Ensure that AI systems are not the final authority on any decision that impacts people's lives and that humans maintain meaningful control over otherwise highly autonomous AI systems.

• privacy and security

• accountability

• reliability and safety

• fairness

• inclusiveness

Answer explanation

The people who designed and developed the AI system are accountable for how the system works in real world. Humans maintain meaningful control over autonomous systems. AI systems are not the final authority.

https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

You build a machine learning model by using the automated machine learning user interface (UI). You need to ensure that the model meets the Microsoft transparency principle for responsible AI. What should you do?

• set Max concurrent iterations to zero

• set validation type to auto

• enable explain best model

• set primary metric to accuracy

Which AI service you should use to determine if a photo contains a person?

• natural language processing

• anomaly detection

• conversational AI

• computer vision

• knowledge mining

Select the most appropriate Natural Language Processing workload for below scenario. scenario: Extract date/time, URLs, email addresses and phone number from the text.

• Key phrase extraction

• Entity recognition

• Speech recognition and speech synthesis

• Translation

• Sentiment analysis

Answer explanation

The Entity Recognition skill extracts entities of different types from text. This skill uses the machine learning models provided by Text Analytics in Cognitive Services.
https://docs.microsoft.com/en-us/learn/modules/analyze-text-with-text-analytics-service/2-get-started-azure

Which Microsoft guiding principle for responsible AI you should consider as most important while developing an AI system for a self-driving car?

• accountability

• transparency

• reliability and safety

• fairness

• inclusiveness

You're developing an AI system that will apply text analytics API feature to an application that visits NEWS websites. Match the text analytics API features to the appropriate natural language processing scenarios. text analytics API features -entity recognition -keyphrase extraction -language detection -sentiment analysis natural language processing scenarios (1)Understand how upset a writer is based on the text contained in the discussion forum of the news website. (2)Summarize important information from the content of the webpage. (3)Extract key names from the news webpage. Choose the option that matches the scenarios to appropriate text analytics API features. (1 or 2 or 3) represents a scenario statement in the options below. To answer, select the appropriate option.

• NONE

• (1)language detection (2)entity recognition (3)sentiment analysis

• (1)entity recognition (2)sentiment analysis (3)keyphrase extraction

• (1)keyphrase extraction (2)language detection (3)language detection

• (1)sentiment analysis (2)key-phrase extraction (3)Entity recognition

Answer explanation

https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

From a frequently asked question (FAQ) PDF file which AI service should be used to create a conversational support system?

• qna maker

• text Analytics

• language understanding

• computer vision

Answer 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.
https://azure.microsoft.com/en-in/services/cognitive-services/qna-maker/