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Pass Guaranteed Quiz AI-900 - Fantastic Microsoft Azure AI Fundamentals Test Pattern

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Microsoft AI-900, also known as the Microsoft Azure AI Fundamentals certification exam, is designed for individuals who want to learn about the fundamental concepts of Artificial Intelligence (AI) and how they can be implemented on Microsoft's Azure platform. Microsoft Azure AI Fundamentals certification is an excellent starting point for those who are new to AI and want to understand the basics of AI and its uses in real-world scenarios.

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Describe the Basic Principles of ML on Microsoft Azure (30-35%)

As for this area, it includes the following:

Identify the basic ML types – This section equips the learners with the ability to identify various concepts, such as regression, clustering, and classification ML scenarios.
Describe the ML core concepts – You should be able to identify the labels and features within a dataset for ML and describe the usage of validation datasets and training in ML. The applicants also need the ability to explain the usage of ML algorithms in model training, as well as interpret and choose the model evaluation yardsticks for regression and classification.
Explain the abilities of the No-code ML with Azure ML Learning Studio – This domain equips the individuals with the knowledge of the Azure ML designer and automated ML UI.
Identify the major tasks in crafting an ML solution – This subject area measures the students’ competence in explaining some concepts, such as basic features of data preparation and ingestion, model management and deployment, model training & evaluation, and feature selection and engineering.

Microsoft Azure AI Fundamentals Sample Questions (Q188-Q193):

NEW QUESTION # 188
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE; Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 189
Match the facial recognition tasks to the appropriate questions.
To answer, drag the appropriate task from the column on the left to its question on the right. Each task may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

Box 1: verification
Face verification: Check the likelihood that two faces belong to the same person and receive a confidence score.
Box 2: similarity
Box 3: Grouping
Box 4: identification
Face detection: Detect one or more human faces along with attributes such as: age, emotion, pose, smile, and facial hair, including 27 landmarks for each face in the image.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/face/#features

NEW QUESTION # 190
You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. the training endpoint
B. the model name
C. the authentication key
D. the REST endpoint

Answer: C,D

Explanation:
https://docs.microsoft.com/en-in/learn/modules/create-regression-model-azure-machine-learning-designer/deploy

NEW QUESTION # 191
You are developing a Chabot solution in Azure.
Which service should you use to determine a user's intent?

A. Speech
B. Translator
C. Language
D. Azure Cognitive Search

Answer: D

Explanation:
Language Understanding (LUIS) is a cloud-based API service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.
Design your LUIS model with categories of user intentions called intents. Each intent needs examples of user utterances. Each utterance can provide data that needs to be extracted with machine-learning entities.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/what-is-luis

NEW QUESTION # 192
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

NEW QUESTION # 193
......

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Tom Boyd Tom Boyd

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Pass Guaranteed Quiz AI-900 - Fantastic Microsoft Azure AI Fundamentals Test Pattern

Latest AI-900 Test Cram, AI-900 Latest Guide Files

Describe the Basic Principles of ML on Microsoft Azure (30-35%)

Microsoft Azure AI Fundamentals Sample Questions (Q188-Q193):

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