How Azure is Making Our Computers Smarter Than Us!
You should develop an application that can recognize celebrities in pictures. Which service would be best for this purpose?
A. Azure OpenAI Service
B. Azure Machine Learning
C. conversational language understanding (CLU)
D. Azure Al Vision
D. Azure Al Vision
offers comprehensive general-purpose computer vision capabilities including image description, content moderation, object detection, landmark recognition, and OCR (text extraction)
A business analyst without programming experience needs to create a customer service bot using a visual interface to design conversation flows and test it. Which Azure service should they use?
A. Azure Bot Service
B. Bot Framework Composer
C. Language Understanding (CLU)
D. QnA Maker/Question Answering
B. Bot Framework Composer
It provides a graphical interface for creating dialog flows, testing conversations, and managing bot logic without requiring programming skills.
A data scientist has trained a custom regression model in Azure Machine Learning using Python scripts and wants to review performance metrics, compare algorithm configurations, and analyze prediction accuracy. Where should they find these evaluation results?
A. Azure ML Studio model evaluation results
B. Automated ML regression experiment outputs
C. Model explanation dashboards
D. Performance monitoring in deployed models
A. Azure ML Studio model evaluation results
Provide comprehensive evaluation metrics and visualizations for manually trained models, including custom scripts and experiments.
You need to build a solution that can identify unusual patterns in network traffic that might indicate a security breach. What type of AI workload is this?
A) Predictive forecasting
B) Anomaly detection
C) Natural language processing
D) Computer vision
B) Anomaly detection
Identifies unusual patterns or outliers in data that deviate from normal behavior, making it ideal for security breach detection.
You need to extract important phrases from customer feedback emails to identify key topics mentioned. Which Azure Cognitive Service capability should you use?
A) Entity recognition
B) Key phrase extraction
C) Sentiment analysis
D) Language detection
B) Key phrase extraction
It is specifically designed to identify and extract the main topics and important phrases from text.
Your organization requires a solution to recognize famous personalities in uploaded photographs. Which Azure service would be most appropriate?
A. Azure OpenAI Service
B. Azure Machine Learning Studio
C. Language Understanding (LUIS)
D. Azure Cognitive Services Vision
D. Azure Cognitive Services Vision
Includes Computer Vision API and Face API, which can detect and recognize famous people in photos. Specifically, the Computer Vision API has a "celebrity recognition" feature that can identify well-known personalities.
A university aims to create a bot to answer FAQs about admission requirements, tuition fees, and campus facilities, using a searchable list of common questions and answers. What Azure service is best suited for this?
A. Azure Bot Service
B. Bot Framework Composer
C. Language Understanding (CLU)
D. QnA Maker/Question Answering
D. QnA Maker/Question Answering
is specifically designed for creating knowledge bases from FAQ documents, making it perfect for simple question-answer scenarios
You need to predict the price of a house based on its size, location, and number of bedrooms. What type of machine learning scenario is this?
A) Classification
B) Regression
C) Clustering
D) Reinforcement learning
B) Regression
Is used to predict continuous numerical values, such as house prices.
Your company wants to create a chatbot that can understand customer questions and provide appropriate responses. What type of AI workload does this represent?
A) Computer vision
B) Predictive forecasting
C) Conversational AI
D) Anomaly detection
C) Conversational AI
Enables systems to understand and respond to human language in a natural, dialogue-based manner.
You are developing an application that needs to determine whether customer reviews are positive, negative, or neutral. Which NLP capability should you implement?
A) Named entity recognition
B) Sentiment analysis
C) Key phrase extraction
D) Language modeling
B) Sentiment analysis
Is designed to determine the emotional tone or attitude expressed in text, categorizing it as positive, negative, or neutral.
True or False:
A mobile app requires the ability to automatically label recognizable public figures that are present in images submitted by users. Is the Azure Computer Vision API suitable for this?
True:
The Azure Computer Vision API, part of Azure Cognitive Services, features automatic celebrity recognition that identifies and tags public figures in images.
A travel booking bot must recognize user intents like "book a flight," "cancel a reservation," and "check flight status," while also extracting dates, destinations, and flight numbers. Which Azure service enables this?
A. Azure Bot Service
B. Bot Framework Composer
C. Language Understanding (CLU)
D. QnA Maker/Question Answering
C. Language Understanding (CLU)
It's specifically designed for natural language understanding in conversational applications
In a machine learning dataset, what are features?
A) The target values you want to predict
B) The input variables used to make predictions
C) The rows in your dataset
D) The validation metrics used to evaluate model performance
B) The input variables used to make predictions. Features are the input variables or attributes that the machine learning algorithm uses to make predictions.
You're developing an AI system to analyze medical images and detect potential tumors. Which responsible AI principle is MOST critical to consider?
A) Inclusiveness
B) Reliability and safety
C) Transparency
D) Privacy
B) Reliability and safety
In medical applications, reliability and safety are paramount as incorrect predictions could directly impact patient health and safety.
Your organization receives support tickets in multiple languages and needs to translate them to English for processing. Which Azure service should you use?
A) Text Analytics
B) LUIS
C) Speech Services
D) Translator Text
Answer: D) Translator Text
Also known as Azure Translator is specifically designed for translating text between different languages. It supports over 100 languages and can automatically detect the source language.
Which Azure service provides pre-built capabilities for facial recognition of prominent individuals in digital media?
A. Azure OpenAI GPT models
B. Azure AutoML
C. Azure Text Analytics
D. Azure Vision Services
D. Azure Vision Services
Part of Azure Cognitive Services, it includes the Face API and Computer Vision API, which provide pre-built capabilities for facial recognition, including identifying prominent individuals (like celebrities and public figures) in digital media.
A large corporation has created a customer service bot using Azure AI services and needs to deploy it across various channels (website, Teams, Slack, mobile app) with security, monitoring, and scalability. What Azure service supports this deployment?
A. Azure Bot Service
B. Bot Framework Composer
C. Language Understanding (CLU)
D. QnA Maker/Question Answering
A. Azure Bot Service
Provides the core framework and infrastructure for deploying, hosting, and managing bots across multiple channels
You have customer data and want to group customers with similar purchasing behaviors together without knowing the groups in advance. What type of machine learning approach should you use?
A) Supervised learning with classification
B) Supervised learning with regression
C) Unsupervised learning with clustering
D) Reinforcement learning
C) Unsupervised learning with clustering
Is an unsupervised learning technique used to group similar data points when you don't have predefined categories.
A retail company wants to predict future sales based on historical data, seasonal trends, and market conditions. What type of AI workload is this?
A) Anomaly detection
B) Natural language processing
C) Computer vision
D) Predictive forecasting
D) Predictive forecasting
Uses historical data and trends to predict future outcomes, such as sales predictions.
You have an AI-based loan approval system.
During testing, you discover that the system has a gender bias. Which responsible Al principle does this violate?
A. accountability
B. fairness
C. transparency
D. reliability and safety
B. fairness.
When an AI system shows gender bias, it's making decisions in a way that discriminates or treats individuals unequally based on gender.
A streaming platform needs to automatically analyze uploaded video content to extract spoken transcripts, identify celebrities appearing in videos, detect scene changes, and generate searchable metadata for their content library.Which Azure service should they implement?
A. Azure AI Vision
B. Azure AI Custom Vision
C. Azure AI Face
D. Azure AI Video Indexer
D. Azure AI Video Indexer
is specifically designed for comprehensive video content analysis, including speech transcription, celebrity recognition, scene detection, and metadata extraction
A healthcare organization aims to create a patient appointment bot that understands natural language requests, accesses an FAQ database, offers visual design tools for non-technical staff, and deploys securely across multiple platforms. What Azure services would best support this solution?
A. Only Azure Bot Service
B. Only Bot Framework Composer
C. Azure Bot Service + Bot Framework Composer + CLU + QnA Maker
D. Only Language Understanding (CLU)
C. Azure Bot Service + Bot Framework Composer + CLU + QnA Maker.
Visual design for non-technical staff.
Natural language processing for appointment requests.
Secure deployment across multiple platforms.
What is the primary purpose of splitting data into training and validation sets?
A) To increase the size of your dataset
B) To reduce computational costs
C) To evaluate how well the model performs on unseen data
D) To create more features for the model
C) To evaluate how well the model performs on unseen data.
Validation sets help assess model performance on data it hasn't seen during training, preventing overfitting.
Your AI system needs to analyze customer reviews to determine sentiment and extract key topics. What type of AI workload is this?
A) Computer vision
B) Natural language processing (NLP)
C) Conversational AI
D) Anomaly detection
B) Natural language processing (NLP)
Analyzes and understands human language, including sentiment analysis and topic extraction from text.
You need to identify and extract specific information such as names, locations, and organizations from unstructured text documents. Which NLP technique should you use?
A) Sentiment analysis
B) Key phrase extraction
C) Named entity recognition
D) Language detection
Answer: C) Named entity recognition
(NER) is specifically designed to identify and classify named entities in text, such as person names, locations, organizations, dates, and other predefined categories.