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Microsoft AI-900 Certification Exam is an important credential for individuals who are looking to establish themselves as experts in the field of AI. It is recognized by a number of organizations and can be used to demonstrate an individual's knowledge and understanding of AI concepts and their applications. Additionally, individuals who hold this certification are more likely to be considered for career opportunities in the field of AI and data science.
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Microsoft AI-900 Certification Exam covers a broad range of topics related to AI, including machine learning, natural language processing, computer vision, and cognitive services. Candidates are expected to have a basic understanding of these concepts before taking the exam. AI-900 Exam itself consists of multiple-choice questions and is designed to test the candidate's knowledge of AI concepts and their ability to apply them in real-world scenarios.
NEW QUESTION # 243
You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?
Answer: B
Explanation:
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.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression Regression is a form of machine learning that is used to predict a numeric label based on an item's features.
https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer
/introduction
NEW QUESTION # 244
Match the tasks to the appropriate machine learning models.
To answer, drag the appropriate model from the column on the left to its scenario on the right. Each model may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 245
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) study guide and official Microsoft Learn modules under "Describe features of common AI workloads", Conversational AI refers to technology that enables computers to engage in dialogue or conversation with users through natural language, whether by text or speech. The interactive answering of user-entered questions through a chat interface or virtual assistant is a direct example of a conversational AI workload.
Microsoft defines Conversational AI as systems that use natural language processing (NLP) and language understanding models to interpret what users are asking and respond appropriately. This includes chatbots, virtual assistants (like Cortana or Azure Bot Service), and automated customer service systems that simulate a human-like conversation. In this case, when an application answers questions that a user types interactively, the AI model is processing human language inputs, deriving intent, and generating meaningful replies - precisely what conversational AI is designed to do.
By contrast:
* Anomaly detection identifies unusual patterns in data, typically used for fraud detection or equipment monitoring - not interactive dialogue.
* Computer vision deals with interpreting images or video (e.g., object detection, facial recognition), unrelated to answering text-based questions.
* Forecasting uses historical data to predict future trends or outcomes, often in sales or demand prediction scenarios.
The AI-900 guide emphasizes that Conversational AI helps businesses improve customer interaction efficiency by offering instant, automated, and consistent responses. It enables real-time engagement 24/7 and integrates with tools such as Azure Bot Service, Azure Cognitive Service for Language, and QnA Maker (now part of Azure AI Language Service).
Therefore, based on the Microsoft Learn objectives and definitions from the official AI-900 curriculum, the interactive answering of user questions in an application is best categorized as Conversational AI.
NEW QUESTION # 246
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:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/get-started-build-detector
NEW QUESTION # 247
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Explanation
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.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/linear-regression
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning-initialize-m Regression is a form of machine learning that is used to predict a numeric label based on an item's features.
https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/introd
NEW QUESTION # 248
......
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