Certification exam prep
You need to create an automated machine learning (automated ML) model. Which resource should you create first in Azure Machine Learning studio?
A dataset is required to create an automated machine learning (automated ML) run. A workspace must be created before you can access Machine Learning studio. An Azure container instance and an AKS cluster can be created as a deployment target, after training of a model is complete.
Which three sources can be used to generate questions and answers for a knowledge base? Each correct answer presents a complete solution.
A webpage or an existing document, such as a text file containing question and answer pairs, can be used to generate a knowledge base. You can also manually enter the knowledge base question-and-answer pairs. You cannot directly use an image or an audio file to import a knowledge base.
Which principle of responsible artificial intelligence (AI) defines the framework of governance and organization principles that meet ethical and legal standards of AI solutions?
Accountability defines the framework of governance and organizational principles, which are meant to ensure that AI solutions meet ethical and legal standards that are clearly defined. The other answer choices do not define the framework of governance and organization principles, but provide guidance regarding the ethical and legal aspects of the corresponding standards.
Which type of service provides a platform for conversational artificial intelligence (AI)?
Azure AI Bot Service provide a platform for conversational artificial intelligence (AI), which designates the ability of software agents to participate in a conversation. Azure AI Translator is part of Natural language processing (NLP), but it does not serve as a platform for conversational AI. Azure AI Vision deals with image processing. Azure AI Document Intelligence extracts information from scanned forms and invoices.
Which service can you use to train an image classification model?
Azure AI Custom Vision is an image recognition service that allows you to build and deploy your own image models. The Azure AI vision service, Azure AI Face service, and Azure AI Language service do not provide the capability to train your own image model.
Which natural language processing (NLP) workload is used to generate closed caption text for live presentations?
Azure AI Speech provides speech-to-text and text-to-speech capabilities through speech recognition and synthesis. You can use prebuilt and custom Speech service models for a variety of tasks, from transcribing audio to text with high accuracy, to identifying speakers in conversations, creating custom voices, and more.
Which two capabilities are examples of a GPT model? Each correct answer presents a complete solution.
Azure OpenAI natural language models can take in natural language and generate responses. GPT models are excellent at both understanding and creating natural language.
A healthcare organization has a dataset consisting of bone fracture scans that are categorized by using predefined fracture types. The organization wants to use machine learning to detect the different types of bone fractures for new scans before the scans are sent to a medical practitioner. Which type of machine learning is this?
Classification is used to predict categories of data. It can predict which category or class an item of data belongs to. In this example, a machine learning model trained by using classification with labeled data can be used to determine the type of bone fracture in a new scan that is not labeled already. Featurization is not a machine learning type. Regression is used to predict numeric values. Clustering analyzes unlabeled data to find similarities in the data.
Which type of machine learning algorithm groups observations is based on the similarities of features?
Clustering algorithms group data points that have similar characteristics. Regression algorithms are used to predict numeric values. Classification algorithms are used to predict a predefined category to which an input value belongs. Supervised learning is a category of learning algorithms that includes regression and classification, but not clustering.
A retailer wants to group together online shoppers that have similar attributes to enable its marketing team to create targeted marketing campaigns for new product launches. Which type of machine learning is this?
Clustering is a machine learning type that analyzes unlabeled data to find similarities present in the data. It then groups (clusters) similar data together. In this example, the company can group online customers based on attributes that include demographic data and shopping behaviors. The company can then recommend new products to those groups of customers who are most likely to be interested in them. Classification and multiclass classification are used to predict categories of data. Regression is a machine learning scenario that is used to predict numeric values.
Which generative AI model is used to generate images based on natural language prompts?
DALL-E is a model that can generate images from natural language. GPT-4 and GPT-3.5 can understand and generate natural language and code but not images. Embeddings can convert text into numerical vector form to facilitate text similarity. Whisper can transcribe and translate speech to text.
You are exploring solutions to improve the document search and indexing service for employees. You need an artificial intelligence (AI) search solution that will include searching text in various types of documents, such as images. Which type of AI workload is this?
Data mining workloads primarily focus on the searching and indexing of data. The computer vision can be used to extract information from images, but it is not a search and indexing solution. Conversational AI is part of natural language processing (NLP) and facilitates the creation of chatbots. Semantic segmentation provides the ability to classify individual pixels in an image depending on the object that they represent.
Which analytical task of the Azure AI Vision service returns bounding box coordinates?
Detecting objects identifies common objects and, for each, returns bounding box coordinates. Image categorization assigns a category to an image, but it does not return bounding box coordinates. Tagging involves associating an image with metadata that summarizes the attributes of the image, but it does not return bounding box coordinates. OCR detects printed and handwritten text in images, but it does not return bounding box coordinates.
Select the answer that correctly completes the sentence. [Answer choice] can search, classify, and compare sources of text for similarity.
Embeddings is an Azure OpenAI model that converts text into numerical vectors for analysis. Embeddings can be used to search, classify, and compare sources of text for similarity.
When using the Azure AI Service for Language, what should you use to provide further information online about entities extracted from a text?
Entity Linking identifies and disambiguates the identity of entities found in a text. Key phrase extraction is not used to extract entities and is used instead to extract key phrases to identify the main concepts in a text. Named entity recognition cannot provide a link for each entity to view further information. Text translation is part of the Azure AI Translator service.
Which three features are elements of the Azure AI Language Service? Each correct answer presents a complete solution.
Entity Linking, PII detection, and sentiment analysis are all elements of the Azure AI Service for Azure AI Language. Azure AI Vision deals with image processing. Azure AI Content Moderator is an Azure AI Services service that is used to check text, image, and video content for material that is potentially offensive.
Which artificial intelligence (AI) workload scenario is an example of natural language processing (NLP)?
Extracting key phrases from text to identify the main terms is an NLP workload. Predicting whether customers are likely to buy a product based on previous purchases requires the development of a machine learning model. Monitoring for sudden increases in quantity of failed sign-in attempts is a different workload. Identifying objects in landscape images is a computer vision workload.
When using the Azure AI Face service, what should you use to perform one-to-many or one-to-one face matching? Each correct answer presents a complete solution.
Face identification in the Azure AI Face service can address one-to-many matching of one face in an image to a set of faces in a secure repository. Face verification has the capability for one-to-one matching of a face in an image to a single face from a secure repository or a photo to verify whether they are the same individual. Face attributes, the find similar faces operation, and Azure AI Custom Vision do not verify the identity of a face.
Which principle of responsible artificial intelligence (AI) plays the primary role when implementing an AI solution that meet qualifications for business loan approvals?
Fairness is meant to ensure that AI models do not unintentionally incorporate a bias based on criteria such as gender or ethnicity. Transparency does not apply in this case since banks commonly use their proprietary models when processing loan approvals. Inclusiveness is also out of scope since not everyone is qualified for a loan. Safety is not a primary consideration since there is no direct threat to human life or health in this case.
Select the answer that correctly completes the sentence. [Answer choice] can return responses, such as natural language, images, or code, based on natural language input.
Generative AI models offer the capability of generating images based on a prompt by using DALL-E models, such as generating images from natural language. The other AI capabilities are used in different contexts to achieve other goals.
As per the NIST AI Risk Management Framework, what is the first stage to consider when developing a responsible generative AI solution?
Identifying potential harms is the first stage when planning a responsible generative AI solution.
What allows you to identify different types of bone fractures in X-ray images?
Image classification is part of computer vision and can be used to evaluate images from an X-ray machine to quickly classify specific bone fracture types. This helps improve diagnosis and treatment plans. An image classification model is trained to facilitate the categorizing of the bone fractures. Object detection is used to return identified objects in an image, such as a cat, person, or chair. Conversational AI is used to create intelligent bots that can interact with people by using natural language. Facial detection is used to detect the location of human faces in an image.
You plan to develop an image processing solution that will use DALL-E as a generative AI model. Which capability is NOT supported by the DALL-E model?
Image description is not a capability included in the DALL-E model, therefore, it is not a use case that can be implemented by using DALL-E, while the other three capabilities are offered by DALL-E in Azure OpenAI.
Which three capabilities are examples of image generation features for a generative AI model? Each correct answer presents a complete solution.
Image generation models can take a prompt, a base image, or both, and create something new. These generative AI models can create both realistic and artistic images, change the layout or style of an image, and create variations of a provided image.
In a regression machine learning algorithm, what are the characteristics of features and labels in a validation dataset?
In a regression machine learning algorithm, a validation set contains known feature and label values.
In a regression machine learning algorithm, how are features and labels handled in a validation dataset?
In a regression machine learning algorithm, features are used to generate predictions for the label, which is compared to the actual label value. There is no direct comparison of features or labels between the validation and training datasets.
Which three values are returned by the language detection feature of the Azure AI Language service in Azure?
Language Name, ISO 6391 Code, and Score are three values returned by the Language service of natural language processing (NLP) in Azure. Bounding box coordinates are returned by the Azure AI Vision services in Azure. Wikipedia URL is one of potential values returned by entity linking of entity recognition.
Which three features are elements of the Azure AI Speech service? Each correct answer presents a complete solution.
Language identification, speaker recognition, and voice assistants are all elements of the Azure AI Speech service. Text translation and document translation are part of the Translator service.
Which feature of the Azure AI Translator service is available only to Custom Translator?
Model training with a dictionary can be used with Custom Translator when you do not have enough parallel sentences to meet the 10,000 minimum requirements. The resulting model will typically complete training much faster than with full training and will use the baseline models for translation along with the dictionaries you have added.
You need to identify numerical values that represent the probability of humans developing diabetes based on age and body fat percentage. Which type of machine learning model should you use?
Multiple linear regression models a relationship between two or more features and a single label. Linear regression uses a single feature. Logistic regression is a type of classification model, which returns either a Boolean value or a categorical decision. Hierarchical clustering groups data points that have similar characteristics.
What is the confidence score returned by the Azure AI Language detection service of natural language processing (NLP) for an unknown language name?
NaN, or not a number, designates an unknown confidence score. Unknown is a value with which the NaN confidence score is associated. The score values range between 0 and 1, with 0 designating the lowest confidence score and 1 designating the highest confidence score.
Which Azure AI Service for Language feature allows you to analyze written articles to extract information and concepts, such as people and locations, for classification purposes?
Named entity recognition can identify and categorize entities in unstructured text, such as people, places, organizations, and quantities, and is suitable to support the development of an article recommendation system. Key phrase extraction, Content Moderator, and the PII feature are not suited to entity recognition tasks to build a recommender system.
Which process allows you to use optical character recognition (OCR)?
OCR can extract printed or handwritten text from images. In this case, it can be used to extract text from scanned medical records to produce a digital archive from paper-based documents. Identifying wildlife in an image is an example of a computer vision solution that uses object detection and is not suitable for OCR. Identifying a user requesting access to a laptop is done by taking images from the laptop's webcam and using facial detection and recognition to identify the user requesting access. Translating speech to text is an example of using speech translation and uses the Azure AI Speech service as part of Azure AI Services.
What can be used for an attendance system that can scan handwritten signatures?
OCR is used to extract text and handwriting from images. In this case, it can be used to extract signatures for attendance purposes. Face detection can detect and verify human faces, not text, from images. Object detection can detect multiple objects in an image by using bounding box coordinates. It is not used to extract handwritten text. Image classification is the part of computer vision that is concerned with the primary contents of an image.
Which artificial intelligence (AI) technique should be used to extract the name of a store from a photograph displaying the store front?
OCR provides the ability to detect and read text in images. NLP is an area of AI that deals with identifying the meaning of a written or spoken language, but not detecting or reading text in images. Image classification classifies images based on their contents. Semantic segmentation provides the ability to classify individual pixels in an image.
Which type of artificial intelligence (AI) workload provides the ability to generate bounding boxes that identify the locations of different types of vehicles in an image?
Object detection provides the ability to generate bounding boxes identifying the locations of different types of vehicles in an image. The other answer choices also process images, but their outcomes are different.
What is the first step in the statistical analysis of terms in a text in the context of natural language processing (NLP)?
Removing stop words is the first step in the statistical analysis of terms used in a text in the context of NLP. Counting the occurrences of each word takes place after stop words are removed. Creating a vectorized model is not part of statistical analysis. It is used to capture the sematic relationship between words. Encoding words as numeric features is not part of statistical analysis. It is frequently used in sentiment analysis.
Which two specialized domain models are supported by using the Azure AI Vision service? Each correct answer presents a complete solution.
The Azure AI Vision service supports the celebrities and landmarks specialized domain models. It does not support specialized domain models for animals, cars, or plants.
Which principle of responsible artificial intelligence (AI) ensures that an AI system meets any legal and ethical standards it must abide by?
The accountability principle ensures that AI systems are designed to meet any ethical and legal standards that are applicable. The privacy and security principle states that AI systems must be designed to protect any personal and/or sensitive data. The inclusiveness principle states that AI systems must empower people in a positive and engaging way. The fairness principle is applied to AI system to ensure that users of the systems are treated fairly.
Which two principles of responsible artificial intelligence (AI) are most important when designing an AI system to manage healthcare data? Each correct answer presents part of the solution.
The accountability principle states that AI systems are designed to meet any ethical and legal standards that are applicable. The system must be designed to ensure that privacy of the healthcare data is of the highest importance, including anonymizing data where applicable. The fairness principle is applied to AI systems to ensure that users of the systems are treated fairly. The inclusiveness principle states that AI systems must empower people in a positive and engaging way.
Which two Azure AI Document Intelligence models include identifying common data fields as part of its data extraction capabilities? Each correct answer presents a complete solution.
The business card model analyzes and extracts key information from business card images and includes common data field extractions, such as name and email. The invoice model extracts key information from sales invoices and includes common data fields used in invoices for extraction. The read model, layout model, and general document model do not identify and extract common data fields.
Which three parts of the machine learning process does the Azure AI Vision eliminate the need for? Each correct answer presents part of the solution.
The computer vision service eliminates the need for choosing, training, and evaluating a model by providing pre-trained models. To use computer vision, you must create an Azure resource. The use of computer vision involves inferencing.
A company is using machine learning to predict house prices based on appropriate house attributes. For the machine learning model, which attribute is the label?
The price of the house is the label you are attempting to predict through the machine learning model. This is typically done by using a regression model. Floor space size, number of bedrooms, and age of the house are all input variables for the model to help predict the house price label.
Which type machine learning algorithm predicts a numeric label associated with an item based on that item's features?
The regression algorithms are used to predict numeric values. Clustering algorithms groups data points that have similar characteristics. Classification algorithms are used to predict the category to which an input value belongs. Unsupervised learning is a category of learning algorithms that includes clustering, but not regression or classification.
At which layer can you apply content filters to suppress prompts and responses for a responsible generative AI solution?
The safety system layer includes platform-level configurations and capabilities that help mitigate harm. For example, the Azure OpenAI service includes support for content filters that apply criteria to suppress prompts and responses based on the classification of content into four severity levels (safe, low, medium, and high) for four categories of potential harm (hate, sexual, violence, and self-harm).
What is the purpose of a validation dataset used for as part of the development of a machine learning model?
The validation dataset is a sample of data held back from a training dataset. It is then used to evaluate the performance of the trained model. Cleaning missing data is used to detect missing values and perform operations to fix the data or create new values. Feature engineering is part of preparing the dataset and related data transformation processes. Summarizing the data is used to provide summary statistics, such as the mean or count of distinct values in a column.
Which part of speech synthesis in natural language processing (NLP) involves breaking text into individual words such that each word can be assigned phonetic sounds?
Tokenization is part of speech synthesis that involves breaking text into individual words such that each word can be assigned phonetic sounds. Transcribing is part of speech recognition, which involves converting speech into a text representation. Key phrase extraction is part of language processing, not speech synthesis. Lemmatization, also known as stemming, is part of language processing, not speech synthesis.
Which two artificial intelligence (AI) workload scenarios are examples of natural language processing (NLP)? Each correct answer presents a complete solution.
Translating text between different languages from product reviews is an NLP workload that uses the Azure AI Translator service and is part of Azure AI Services. It can provide text translation of supported languages in real time. Performing sentiment analysis on social media data is an NLP that uses the sentiment analysis feature of the Azure AI Service for Language. It can provide sentiment labels, such as negative, neutral, and positive for text-based sentences and documents.
A company wants to predict household water use based on the number of people in a house, the weather temperature, and the time of year. In terms of data labels and features, what is the label in this use case?
Water use is the label value that you want to predict, also known as the independent variable. Number of people in the house, weather temperature, and time of year are features, and are values that are dependent on the label. Number of people in the house, weather temperature, and time of year can influence the water consumed in a household.
You need to use Azure Machine Learning to train a regression model. What should you create in Machine Learning studio?
You need to use Azure Machine Learning to train a regression model. What should you create in Machine Learning studio?
