AI 102 Certification Questions
Start preparing AI 102 Certification Questions and Answers
Q: 1 Question
A] Option A
B] Option B
B] Option C
B] Option D
Q: 2 Which Azure service provides tools for building, training, and deploying machine learning models?
A] Azure Machine Learning
B] Azure Databricks
B] Azure Cognitive Services
B] Azure Synapse Analytics
Q: 3 What is the purpose of Azure Cognitive Services?
A] Provides pre-built AI models
B] Encrypts sensitive data
B] Manages virtual machines
B] Scales AI models dynamically
Q: 4 In Azure, which service is specifically designed for building conversational AI solutions?
A] Azure Bot Service
B] Azure Machine Learning
B] Azure Cognitive Services
B] Azure Functions
Q: 5 Which of the following is an example of a supervised learning model?
A] Linear regression
B] K-means clustering
B] Principal component analysis
B] Neural network unsupervised learning
Q: 6 Which Azure AI service is best for analyzing and recognizing speech in real-time?
A] Azure Speech Services
B] Azure Cognitive Search
B] Azure Text Analytics
B] Azure AI Translator
Q: 7 Which Azure service would you use to deploy a machine learning model and integrate it with an app?
A] Azure Machine Learning
B] Azure IoT Hub
B] Azure Cognitive Services
B] Azure Functions
Q: 8 What is the role of an Azure Machine Learning compute cluster?
A] Provides scalable compute resources for training
B] Encrypts sensitive machine data
B] Manages deployed machine learning models
B] Integrates machine learning with other Azure services
Q: 9 What type of data does Azure Text Analytics API analyze?
A] Text data
B] Video data
B] Audio data
B] Image data
Q: 10 Which of the following is a key advantage of Azure Cognitive Services?
A] Pre-trained models with no need for coding
B] Highly customizable models for all use cases
B] Scalable virtual machine environments
B] Cost-effective data encryption solutions
Q: 11 What is the use case for Azure Face API?
A] Face detection and recognition
B] Detecting objects in images
B] Analyzing customer feedback
B] Translating text
Q: 12 Which Azure service helps in integrating AI models into web applications?
A] Azure Cognitive Services
B] Azure Machine Learning
B] Azure Bot Service
B] Azure Logic Apps
Q: 13 What is the main purpose of Azure Machine Learning Designer?
A] Drag-and-drop interface for building models
B] Automating data cleaning and wrangling
B] Encrypting data stored in databases
B] Monitoring resource usage in virtual machines
Q: 14 Which type of neural network is best suited for sequential data such as time series or speech?
A] Recurrent Neural Networks (RNN)
B] Convolutional Neural Networks (CNN)
B] Deep Neural Networks (DNN)
B] Generative Adversarial Networks (GAN)
Q: 15 What is the difference between classification and regression in machine learning?
A] Classification predicts categories, regression predicts continuous values
B] Classification predicts continuous values, regression predicts categories
B] Both methods predict probabilities
B] Classification and regression are the same
Q: 16 What is the first step in building a machine learning model?
A] Data collection and preprocessing
B] Training the model
B] Evaluating model performance
B] Deploying the model
Q: 17 What is the function of the Azure Cognitive Services Text Analytics Sentiment Analysis API?
A] Determines the sentiment of text
B] Classifies text into categories
B] Translates text into different languages
B] Recognizes named entities in text
Q: 18 Which Azure service provides advanced machine learning algorithms and models for use in custom AI solutions?
A] Azure Cognitive Services
B] Azure Machine Learning
B] Azure IoT Hub
B] Azure Databricks
Q: 19 Which algorithm is commonly used in image classification tasks?
A] Convolutional Neural Networks (CNN)
B] K-means clustering
B] Linear regression
B] Support Vector Machines (SVM)
Q: 20 What is the primary purpose of Azure Databricks?
A] Simplifies big data analytics and machine learning
B] Provides a pre-built model for AI solutions
B] Creates scalable virtual machines
B] Encrypts large datasets
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Q: 21 Which of the following tools is used for automating the deployment of machine learning models in Azure?
A] Azure Machine Learning Pipelines
B] Azure DevOps
B] Azure Functions
B] Azure Logic Apps
Q: 22 What service should you use to detect faces in images and videos in Azure?
A] Azure Face API
B] Azure Cognitive Search
B] Azure AI Translator
B] Azure Custom Vision
Q: 23 What type of problem is solved using regression in machine learning?
A] Predicting continuous values
B] Classifying data into categories
B] Generating random data
B] Detecting anomalies in data
Q: 24 What is the purpose of a validation dataset in machine learning?
A] To test the model during training
B] To validate the accuracy of the final model
B] To provide training data
B] To monitor the model’s performance after deployment
Q: 25 Which Azure service would you use to get a visual representation of data and insights from a machine learning model?
A] Azure Machine Learning Studio
B] Azure Cognitive Services
B] Azure Data Explorer
B] Azure Visual Studio Code
Q: 26 What is the key benefit of using Azure Cognitive Search for AI applications?
A] Provides easy integration with AI applications
B] Allows customization of search engines
B] Performs high-performance computations
B] Automates model training
Q: 27 What is the difference between supervised and unsupervised learning?
A] Supervised learning uses labeled data, unsupervised does not
B] Supervised learning uses unlabeled data, unsupervised uses labeled data
B] Both supervised and unsupervised learning use unlabeled data
B] Both methods use labeled data
Q: 28 What is the key advantage of using Azure Machine Learning Pipelines?
A] It automates workflows and model deployment
B] Encrypts sensitive model data
B] Offers a user-friendly GUI for training models
B] Provides automated performance tuning
Q: 29 Which of the following is an example of an unsupervised learning technique?
A] K-means clustering
B] Linear regression
B] Logistic regression
B] Decision trees
Q: 30 In machine learning, what is the purpose of overfitting?
A] The model performs well on training data but poorly on new data
B] The model performs poorly on both training and test data
B] The model learns too few patterns from the data
B] The model is unable to handle large datasets
Q: 31 Which Azure service provides APIs for optical character recognition (OCR)?
A] Azure Cognitive Services Vision
B] Azure Cognitive Services Speech
B] Azure Cognitive Services Language
B] Azure AI Translator
Q: 32 What is the main purpose of Azure ML Experiments?
A] To track the performance of machine learning models
B] To integrate AI models into applications
B] To store machine learning data
B] To provide automated training workflows
Q: 33 What is the function of the Azure AI Speech SDK?
A] Converts speech to text and vice versa
B] Encrypts speech data
B] Trains models on audio data
B] Detects speech in video files
Q: 34 What is a common use case for Reinforcement Learning?
A] Training autonomous systems to perform actions
B] Predicting housing prices
B] Classifying images
B] Clustering customer behavior data
Q: 35 In Azure, which of the following can you use to improve the performance of a model by providing pre-built features?
A] Feature Store in Azure Machine Learning
B] Azure Cognitive Services
B] Azure SQL Database
B] Azure AI Translator
Q: 36 What is the purpose of Azure Cognitive Services Custom Vision?
A] Train AI models to recognize custom image categories
B] Monitor real-time video feeds
B] Convert text to speech
B] Translate text into multiple languages
Q: 37 Which of the following is an example of a classification task in machine learning?
A] Spam email detection
B] Predicting housing prices
B] Weather forecasting
B] Stock price prediction
Q: 38 What service allows you to build conversational AI models that respond to user queries in natural language?
A] Azure Bot Service
B] Azure Cognitive Services Text Analytics
B] Azure ML Designer
B] Azure AI Translator
Q: 39 What is the purpose of data augmentation in machine learning?
A] To artificially increase the size of the dataset
B] To encrypt sensitive data
B] To split data into training and test sets
B] To monitor model performance
Q: 40 What is the purpose of cross-validation in machine learning?
A] To assess how the model generalizes to new data
B] To clean the data
B] To optimize the hyperparameters
B] To train the model faster
Q: 41 What type of data does Azure Machine Learning Designer primarily handle?
A] Structured data
B] Unstructured data
B] Semi-structured data
B] Encrypted data
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Q: 42 What is the main function of the Azure Cognitive Services Language API?
A] Provides natural language processing capabilities
B] Translates images into text
B] Recognizes speech and converts it to text
B] Detects objects in images
Q: 43 What is a primary use case for Azure’s Custom Vision service?
A] Building custom image classification models
B] Creating chatbots
B] Converting speech to text
B] Analyzing sentiment in text
Q: 44 Which of the following is a key benefit of using Azure’s Automated ML?
A] Automates the process of training machine learning models
B] Automatically translates data
B] Generates API documentation
B] Encrypts training data
Q: 45 Which Azure service helps with training large-scale machine learning models?
A] Azure Databricks
B] Azure Functions
B] Azure Logic Apps
B] Azure Cognitive Services
Q: 46 What is the purpose of Azure Cognitive Services Speech SDK?
A] To build custom speech recognition models
B] To convert text to speech
B] To manage speech data in real time
B] To analyze sentiment in speech
Q: 47 What Azure service can help with detecting anomalies in time-series data?
A] Azure Anomaly Detector
B] Azure Machine Learning Studio
B] Azure Synapse Analytics
B] Azure Cognitive Search
Q: 48 What is the best approach for handling imbalanced data in machine learning models?
A] Resampling the dataset
B] Scaling the data
B] Applying feature engineering
B] Increasing model complexity
Q: 49 What is the primary purpose of Azure Machine Learning Pipelines?
A] To create repeatable workflows for model training and deployment
B] To encrypt sensitive data
B] To provide a GUI for data visualization
B] To monitor model accuracy
Q: 50 Which Azure service allows you to integrate machine learning models into your web application?
A] Azure Functions
B] Azure Cognitive Services
B] Azure Machine Learning
B] Azure Logic Apps
Q: 51 In machine learning, what is overfitting?
A] A model that performs well on training data but poorly on unseen data
B] A model that is undertrained
B] A model that cannot learn from data
B] A model that always predicts the same output
Q: 52 Which of the following is a function of Azure ML’s Automated ML?
A] Automatically selects the best machine learning algorithm for the data
B] Encrypts large datasets
B] Generates API code for integration
B] Scales machine learning models automatically
Q: 53 What is the main advantage of using a convolutional neural network (CNN) in image processing?
A] It automatically detects and classifies features in images
B] It performs best on structured data
B] It is highly effective for time-series data
B] It can handle both text and image data
Q: 54 What does the Azure AI service Custom Vision require to train a model?
A] Labeled image data
B] Text data
B] Speech recordings
B] Time-series data
Q: 55 In the context of Azure Machine Learning, what is a data drift?
A] The change in the statistical properties of the input data over time
B] The difference in training and test data
B] The increase in model complexity
B] The reduction in training data volume
Q: 56 What does Azure’s Cognitive Services Language Understanding (LUIS) provide?
A] A natural language understanding platform for building conversational models
B] A text classification model
B] A sentiment analysis tool
B] A time-series analysis tool
Q: 57 Which model is most suitable for detecting patterns in large datasets with many variables?
A] Decision Trees
B] Neural Networks
B] K-means clustering
B] Support Vector Machines (SVM)
Q: 58 What feature of Azure Machine Learning helps ensure the reproducibility of model training?
A] Version-controlled datasets and environments
B] Auto-scaling models
B] Text analytics tools
B] Anomaly detection tools
Q: 59 What is the role of Azure Machine Learning compute targets?
A] They provide resources for training and deploying machine learning models
B] They monitor model performance
B] They automate data preparation
B] They integrate machine learning models with APIs
Q: 60 What does Azure Cognitive Services Computer Vision API do?
A] Analyzes and processes visual content from images and videos
B] Converts text to speech
B] Translates text into multiple languages
B] Detects audio patterns in real-time
Q: 61 What Azure service would you use to manage a collection of machine learning experiments?
A] Azure Machine Learning Studio
B] Azure Databricks
B] Azure Synapse Analytics
B] Azure Cognitive Services
Q: 62 Which of the following can be done using Azure Machine Learning Designer?
A] Building machine learning models with a drag-and-drop interface
B] Encrypting sensitive model data
B] Generating API keys for model integration
B] Training models automatically
Q: 63 What is the main advantage of using the Azure Cognitive Services Translator API?
A] Translating text in real-time between multiple languages
B] Detecting the sentiment of text
B] Analyzing time-series data
B] Generating text from images
Q: 64 Which machine learning technique would you use to predict future values based on historical data?
A] Time-series forecasting
B] Regression analysis
B] Classification
B] Clustering
Q: 65 Which of the following can you use for real-time speech recognition in Azure?
A] Azure Speech API
B] Azure Cognitive Services
B] Azure Text Analytics
B] Azure Language Understanding
Q: 66 What type of neural network is best suited for image processing tasks?
A] Convolutional Neural Networks (CNN)
B] Recurrent Neural Networks (RNN)
B] Feedforward Neural Networks (FNN)
B] Long Short-Term Memory (LSTM)
Q: 67 What is the function of Azure’s Cognitive Search service?
A] Provides powerful search capabilities over structured and unstructured data
B] Automates model training
B] Encrypts data stored in Azure Blob storage
B] Creates AI models for natural language processing
Q: 68 What is the purpose of hyperparameter tuning in machine learning?
A] To optimize the model’s parameters for better performance
B] To encrypt sensitive training data
B] To automate data cleaning
B] To detect data drift
Q: 69 What does Azure’s Anomaly Detector help you with?
A] Identifying unusual patterns or outliers in time-series data
B] Detecting faces in images
B] Predicting customer behavior
B] Translating text into multiple languages
Q: 70 Which of the following is used for unsupervised learning tasks?
A] K-means clustering
B] Decision Trees
B] Linear regression
B] Logistic regression
Q: 71 What is Azure Cognitive Services’ Text Analytics API used for?
A] Extracting insights such as sentiment, key phrases, and named entities from text
B] Translating text into different languages
B] Converting speech to text
B] Detecting and recognizing faces in images
Q: 72 What would you use to automate data preparation in Azure Machine Learning?
A] Dataflow
B] Experiment tracking
B] Data pre-processing pipelines
B] Model deployment pipelines
Q: 73 What type of data should be used for training a custom speech recognition model in Azure?
A] Audio files with transcriptions
B] Raw text data
B] Images with captions
B] Time-series data
Q: 74 What is the function of a model registry in Azure Machine Learning?
A] It stores versions of trained models and helps with model management
B] It monitors model performance
B] It trains machine learning models
B] It encrypts sensitive model data
Q: 75 What is the role of a scoring script in Azure Machine Learning?
A] To handle input and output of the model during deployment
B] To train the machine learning model
B] To encrypt sensitive data
B] To clean and preprocess the data
Q: 76 What is Azure Cognitive Services Personalizer API used for?
A] Delivering personalized content and recommendations
B] Translating text into different languages
B] Recognizing objects in images
B] Analyzing sentiment in social media
Q: 77 What Azure service would you use to track and manage the lifecycle of machine learning models?
A] Azure Machine Learning Studio
B] Azure Databricks
B] Azure Synapse Analytics
B] Azure Cognitive Services
Q: 78 What is the best technique for detecting fraud in financial transactions?
A] Anomaly detection using machine learning
B] Time-series analysis
B] Clustering analysis
B] Natural Language Processing
Q: 79 Which machine learning algorithm is most appropriate for separating classes of data that are linearly separable?
A] Support Vector Machines (SVM)
B] Decision Trees
B] Neural Networks
B] Random Forests
Q: 80 What service in Azure helps to deploy machine learning models as RESTful APIs for integration?
A] Azure Machine Learning
B] Azure Functions
B] Azure App Service
B] Azure Cognitive Services
Q: 81 What is the primary benefit of using a pre-trained model in Azure Cognitive Services?
A] Reduced time and effort for development
B] Increased computational overhead
B] High cost of implementation
B] Limited scalability
Q: 82 What does the Azure Cognitive Services Text Analytics API do for sentiment analysis?
A] Determines whether text is positive, negative, or neutral
B] Extracts key phrases from text
B] Recognizes named entities in text
B] Translates text into multiple languages
Q: 83 Which type of machine learning model would you use to predict a category such as “spam” or “not spam”?
A] Classification model
B] Regression model
B] Clustering model
B] Time-series model
Q: 84 What feature does Azure’s Bot Services provide for chatbot development?
A] Pre-built conversation templates
B] Automated machine learning algorithms
B] Automated data encryption
B] Automated image recognition
Q: 85 What is the function of Azure’s Knowledge Mining service?
A] Extracts insights and knowledge from large datasets
B] Translates text into other languages
B] Automates data analysis
B] Encrypts sensitive information