The latest Microsoft AI-900 Azure AI Fundamentals certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the Microsoft AI-900 Azure AI Fundamentals exam and earn Microsoft AI-900 Azure AI Fundamentals certification.
Exam Question 181
QnA Maker knowledge bases can be
generated from an existing FAQ document or web page
Imported from a pre-defined chit-chat source
Entered and edited manually
Exam Question 182
To access a knowledge base, client apps require:
The knowledge base ID
The knowledge base endpoint
the knowledge base authorization key
Exam Question 183
What 2 Core technologies do you need to create a user support bot solution?
QnA Maker-Cognitive service that enables you to create and publish a knowledge base with built-in natural language processing capabilties
Azure Bot Service- Provides framework for developing, publishing and managing bots on Azure
Exam Question 184
What is QnA Maker used for?
To create a knowledge base
There is a dedicated QnA Maker portal web-based interface that you can use to create, train, publish and manage knowledge bases
Exam Question 185
Exam Question 186
Azure machine learning designer enables you to save your process as a pipeline draft.
Exam Question 187
Azure machine learning designer provides a drag-and-drop visual canvas to build, test and deploy machine learning models.
Exam Question 188
Predicting how many hours of overtime a delivery person will work based on the number of order received is an example of___.
In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
- Classification is a machine learning method that uses data to determine the category, type, or class of an item or row of data.
- Clustering, in machine learning, is a method of grouping data points into similar clusters. It is also called segmentation.
Over the years, many clustering algorithms have been developed. Almost all clustering algorithms use the features of individual items to find similar items. For example, you might apply clustering to find similar people by demographics. You might use clustering with text analysis to group sentences with similar topics or sentiment.
Exam Question 189
From Azure Machine Learning designer, to deploy real time inference pipeline as a service for others to consumer, you must deploy the model to _____.
A. a local web service.
B. Azure Container Instances.
C. Azure Kubernetes Service (AKS).
D. Azure Machine Learning compute.
C. Azure kubernetes services (AKS)
To perform real-time inferencing, you must deploy a pipeline as a real-time endpoint. Real-time endpoints must be deployed to an Azure Kubernetes Service cluster.
Exam Question 190
Which of the following features are supported by Azure Text Analytics
- Extract key phrases
- Identify and categorize entities
- Perform sentiment analysis
- Determine the language of the document