Azure AI Engineer (AI-102) Azure AI Engineer (AI-102) Azure AI Engineer (AI-102) 1 / 19 Which of the following tools is used for automating the deployment of machine learning models in Azure? Azure Machine Learning Pipelines Azure DevOps Azure Functions Azure Logic Apps 2 / 19 What is the primary purpose of Azure Databricks? Simplifies big data analytics and machine learning Provides a pre-built model for AI solutions Creates scalable virtual machines Encrypts large datasets 3 / 19 Which algorithm is commonly used in image classification tasks? Convolutional Neural Networks (CNN) K-means clustering Linear regression Support Vector Machines (SVM) 4 / 19 Which Azure service provides advanced machine learning algorithms and models for use in custom AI solutions? Azure Cognitive Services Azure Machine Learning Azure IoT Hub Azure Databricks 5 / 19 What is the function of the Azure Cognitive Services Text Analytics Sentiment Analysis API? Classifies text into categories Translates text into different languages Recognizes named entities in text Determines the sentiment of text 6 / 19 What is the first step in building a machine learning model? Data collection and preprocessing Training the model Evaluating model performance Deploying the model 7 / 19 What is the difference between classification and regression in machine learning? Classification predicts categories, regression predicts continuous values Classification predicts continuous values, regression predicts categories Both methods predict probabilities Classification and regression are the same 8 / 19 What is the main purpose of Azure Machine Learning Designer? Drag-and-drop interface for building models Automating data cleaning and wrangling Encrypting data stored in databases Monitoring resource usage in virtual machines 9 / 19 Which Azure service helps in integrating AI models into web applications? Azure Machine Learning Azure Bot Service Azure Cognitive Services Azure Logic Apps 10 / 19 What is the use case for Azure Face API? Face detection and recognition Detecting objects in images Analyzing customer feedback Translating text 11 / 19 Which of the following is a key advantage of Azure Cognitive Services? Highly customizable models for all use cases Scalable virtual machine environments Pre-trained models with no need for coding Cost-effective data encryption solutions 12 / 19 What type of data does Azure Text Analytics API analyze? Text data Video data Audio data Image data 13 / 19 What is the role of an Azure Machine Learning compute cluster? Encrypts sensitive machine data Provides scalable compute resources for training Manages deployed machine learning models Integrates machine learning with other Azure services 14 / 19 Which Azure service would you use to deploy a machine learning model and integrate it with an app? Azure IoT Hub Azure Cognitive Services Azure Machine Learning Azure Functions 15 / 19 Which Azure AI service is best for analyzing and recognizing speech in real-time? Azure Speech Services Azure Cognitive Search Azure Text Analytics Azure AI Translator 16 / 19 Which of the following is an example of a supervised learning model? Linear regression K-means clustering Principal component analysis Neural network unsupervised learning 17 / 19 In Azure, which service is specifically designed for building conversational AI solutions? Azure Machine Learning Azure Cognitive Services Azure Bot Service Azure Functions 18 / 19 What is the purpose of Azure Cognitive Services? Encrypts sensitive data Manages virtual machines Scales AI models dynamically Provides pre-built AI models 19 / 19 Which Azure service provides tools for building, training, and deploying machine learning models? Azure Machine Learning Azure Databricks Azure Cognitive Services Azure Synapse Analytics Your score isThe average score is 0% 0% Restart quiz