AI-900 Flashcards
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?
Enable Explain best model.
Forecasting housing prices based on historical data is an example of anomaly detection?
False
Identifying suspicious sign-ins by looking for deviations from usual patterns is an example of anomaly detection?
True
Predicting whether a patient will develop diabetes based on the patients medical history is an example of anomaly detection?
False
What is used to extract dates, quantities and locations from text?
Named Entity Recognition (NER)
What is used to generate additional features?
Feature engineering
You run a charity event that involves posting photos of people wearing sunglasses on Twitter. You need to ensure that you only retweet photos that meet the following requirements:
✑ Include one or more faces.
✑ Contain at least one person wearing sunglasses.
What should you use to analyze the images?
The detect operation in the Face service
A triage bot that prioritises insurance claims based on injuries is an example of the Microsoft reliability and safety principle for responsible AI?
False
You plan to deploy an Azure Machine Learning model as a service that will be used by client applications. Which three processes should you perform in sequence before you deploy the model? To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order.
Data preparation
Model training
Model evaluation
According to Microsoft’s _______ principle of responsible AI, AI systems should NOT reflect biases from the data sets that are used to train the systems
fairness
Data values that influence the prediction of a model are called ______.
Features
You have a dataset that contains information about taxi journeys that occurred during a given period. You need to train a model to predict the fare of a taxi journey. What should you use as a feature?
The trip distance of individual taxi journeys
Automated machine learning can automatically infer the training data from the use case provided.
False
Automated machines learning works by running multiple training iterations that are scored and ranked by the metrics you specify?
True
Automated machine learning enables you to specify a dataset and will automatically understand which label to predict?
False
A banking system that predicts whether a loan will be repaid is an example of the __________ type of machine learning.
Classification
Labelling is the process of tagging training data with known values.
True
Accuracy is always the primary metric used to measure a model’s performance.
False
Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?
Form recogniser
From Azure Machine Learning designer, to deploy a real-time inference as a service for others to consumer, you must deploy the model to _________.
Azure Kubernetes Service (AKS)
Azure Machine Learning designer provides a drag and drop virtual canvas to build, test and deploy machine learning models.
True
Azure Machine Learning designer enables you to save your progress as a pipeline draft.
True
Azure Machine Learning designer enable you to include customer JavaScript functions.
False
Azure Machine Learning designer lets you create machine learning models by ________.
Adding and connecting modules on a visual canvas