[Q96-Q113] 100% Guaranteed Results AI-900 Unlimited 325 Questions [2026]

100% Guaranteed Results AI-900 Unlimited 325 Questions [2026]

AI-900 Dumps PDF - Want To Pass AI-900 Fast

Career Opportunities

The individuals can pursue a lot of career opportunities with a Microsoft certificate. The Microsoft Certified: Azure AI Fundamentals certification is not an exception. Although it is a foundational-level path, the certificate holders can start their careers on a good footing. Some of the job titles that these entry-level professionals can apply for include an Azure Data Scientist, an Azure AI Engineer, an Azure Administrator, an Azure Developer, an Azure Solution Architect, and an Azure DevOps Engineer. For these positions, the applicants can expect to earn an average of $80,000 per annum.

Introducing Updated Microsoft Certified: Azure AI Fundamentals Designation

This certificate is an opportunity for candidates to showcase their mastery of the Machine Learning (ML) and Artificial Intelligence (AI) workloads and their implementation of Azure services. For that reason, AI-900 exam can be taken by all candidates from technical and non-technical fields. While software engineering and data science skills may not be required for such an evaluation, it is important to have general programming knowledge to stand a chance of cracking this test right away. By and large, the updated Microsoft Certified: Azure AI Fundamentals designation can help you advance your career growth by preparing you for advanced Azure role-based certifications including the Microsoft Certified: Azure AI Engineer Associate and the Microsoft Certified: Azure Data Scientist Associate certificates.

About Exam AI-900

The interested candidate for the Microsoft AI-900 test, which also goes under the name the Azure test for AI Fundamentals, should have at least some foundational understanding of the concept of AI features alongside ML ones. This exam will test the entrant's knowledge of different AI common workloads, principles of AI and ML, NLP workloads, and other related concepts. When it comes to the details for this exam, the Microsoft AI-900 is available in several languages, among which you'll find Spanish, English, Korean, German, Chinese (Simplified), and French. Such an exam comes with a registration fee of $99 and should be scheduled through Pearson VUE. Also, in the main exam, candidates will be exposed to around 40-60 tasks with 1 hour given to solve them.

NEW QUESTION # 96
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

NEW QUESTION # 97
You have the Predicted vs. True chart shown in the following exhibit.

Which type of model is the chart used to evaluate?

A. clustering
B. classification
C. regression

Answer: C

Explanation:
What is a Predicted vs. True chart?
Predicted vs. True shows the relationship between a predicted value and its correlating true value for a regression problem. This graph can be used to measure performance of a model as the closer to the y=x line the predicted values are, the better the accuracy of a predictive model.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-m

NEW QUESTION # 98
You have the following dataset.

You plan to use the dataset to train a model that will predict the house price categories of houses.
What are Household Income and House Price Category? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Box 1: A feature
Box 2: A label
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/interpret-model-results

NEW QUESTION # 99
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:

NEW QUESTION # 100
In which two scenarios can you use speech recognition? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. creating a transcript of a telephone call or meeting
B. creating an automated public address system for a train station
C. providing closed captions for recorded or live videos
D. an in-car system that reads text messages aloud

Answer: A,C

Explanation:
Section: Describe features of Natural Language Processing (NLP) workloads on Azure Explanation/Reference:
https://azure.microsoft.com/en-gb/services/cognitive-services/speech-to-text/#features

NEW QUESTION # 101
You need to reduce the load on telephone operators by implementing a Chabot to answer simple questions with predefined answers.
Which two Al services should you use to achieve the goal? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Translator
B. Azure 8ol Service
C. Azure Machine Learning
D. Language Service

Answer: B,D

Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Explore conversational AI in Microsoft Azure," to create a chatbot that can automatically answer simple, predefined user questions, you need two main Azure AI components - one to handle the conversation interface and another to manage the knowledge and language understanding aspect.
* Azure Bot Service (A)This service is used to create, manage, and deploy chatbots that interact with users through text or voice. The Bot Service provides the framework for conversation management, user interaction, and channel integration (e.g., webchat, Microsoft Teams, Skype). It serves as the backbone of conversational AI applications and supports integration with other cognitive services like the Language Service.
* Language Service (D)The Azure AI Language Service (which now includes Question Answering, formerly QnA Maker) is used to build and manage the knowledge base of predefined questions and answers. This service enables the chatbot to understand user queries and return appropriate responses automatically. The QnA capability allows you to import documents, FAQs, or structured data to create a searchable database of responses for the bot.
Why the other options are incorrect:
* B. Azure Machine Learning: This service is used for building, training, and deploying custom machine learning models, not for chatbot Q&A automation.
* C. Translator: This service performs language translation, which is not required for answering predefined questions unless multilingual support is specifically needed.
Therefore, to implement a chatbot that can answer simple, repetitive user questions and reduce the load on human operators, you combine Azure Bot Service (for interaction) with the Language Service (for question- answering intelligence).

NEW QUESTION # 102
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
Graphical user interface, text, application Description automatically generated

Reference:
https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/conversational-bot
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-webchat-overview?view=azure-bot-service-4.0

NEW QUESTION # 103
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

NEW QUESTION # 104
Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

A. Ink Recognizer
B. Text Analytics
C. Custom Vision
D. Form Recognizer

Answer: D

Explanation:
Explanation
Accelerate your business processes by automating information extraction. Form Recognizer applies advanced machine learning to accurately extract text, key/value pairs, and tables from documents. With just a few samples, Form Recognizer tailors its understanding to your documents, both on-premises and in the cloud.
Turn forms into usable data at a fraction of the time and cost, so you can focus more time acting on the information rather than compiling it.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/form-recognizer/

NEW QUESTION # 105
You are developing a model to predict events by using classification.
You have a confusion matrix for the model scored on test data as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance Finding TP is easy. It basically means the value where Predicted and True value is 1 and that is 11 in this case.
False Negative means where true value was 1 but predicted value was 0 and that is 1033 in this case The confusion matrix shows cases where both the predicted and actual values were 1 (known as true positives) at the top left, and cases where both the predicted and the actual values were 0 (true negatives) at the bottom right. The other cells show cases where the predicted and actual values differ (false positives and false negatives).
https://docs.microsoft.com/en-us/learn/modules/create-classification-model-azure-machine-learning-designer/evaluate-model

NEW QUESTION # 106
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation:
Features

NEW QUESTION # 107
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation:
With Microsoft's Conversational AI tools developers can build, connect, deploy, and manage intelligent bots that naturally interact with their users on a website, app, Cortana, Microsoft Teams, Skype, Facebook Messenger, Slack, and more.
Reference:
https://azure.microsoft.com/en-in/blog/microsoft-conversational-ai-tools-enable-developers-to-build-connect- and-manage-intelligent-bots

NEW QUESTION # 108
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/machine-learning/how-to-designer-python
https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml

NEW QUESTION # 109
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:

NEW QUESTION # 110
What is a form of unsupervised machine learning?

A. regression
B. multiclass classification
C. clustering
D. binary classification

Answer: C

Explanation:
As outlined in the AI-900 study guide and Microsoft Learn's "Explore fundamental principles of machine learning" module, clustering is a core example of unsupervised machine learning.
In unsupervised learning, the model is trained on data without labeled outcomes. The goal is to discover patterns or groupings naturally present in the data. Clustering algorithms, such as K-means, DBSCAN, or Hierarchical clustering, analyze similarities among data points and group them into clusters. For example, clustering can group customers by purchasing behavior or segment products by shared characteristics - all without predefined labels.
Supervised learning, by contrast, uses labeled data (input-output pairs) to train a model that predicts outcomes. This includes:
* A. Multiclass classification - Predicts more than two categories (e.g., classifying images as dog, cat, or bird).
* C. Binary classification - Predicts two categories (e.g., spam vs. not spam).
* D. Regression - Predicts continuous numeric values (e.g., price prediction).
Therefore, the only option representing unsupervised learning is clustering, which enables data discovery without predefined labels.

NEW QUESTION # 111
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.