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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Exam Format: | Scenario-based questions, Multiple select, Multiple choice |
| Passing Score: | 700 (on a scale of 1โ1000) |
| Available Languages: | English, Russian, Japanese, Italian, German, Indonesian (Indonesia), Chinese (Simplified), Korean, Portuguese (Brazil), Spanish, French, Arabic (Saudi Arabia), Chinese (Traditional) |
| Related Certifications: | Microsoft Certified: Azure Data Fundamentals Microsoft Certified: Azure Fundamentals |
| Exam Price: | $99 USD |
| Exam Duration: | 45 minutes |
| Certificate Validity Period: | Valid indefinitely |
| Real Exam Qty: | 40โ60 |
| Recommended Training: | Microsoft Learn: Azure AI Fundamentals Learning Path Instructor-led Training: AI-900 Course |
| Exam Registration: | Microsoft Certification Registration Pearson VUE Registration |
| Sample Questions: | Microsoft AI-900 Sample Questions |
| Exam Way: | Online proctored or onsite testing at Pearson VUE test centers |
| Pre Condition: | No required prerequisites; basic familiarity with cloud computing or AI concepts is recommended but not mandatory |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-900/ |
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Passing the AI-900 Exam will demonstrate your ability to understand the basic concepts and principles of AI and its applications in the cloud. Microsoft Azure AI Fundamentals certification can help you stand out in the job market and increase your chances of getting hired for roles related to AI and machine learning. It can also help you advance your career by providing a solid foundation for further learning and certifications in this field.
NEW QUESTION # 172
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:
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 # 173
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:
Statements
Yes
No
A bot that responds to queries by internal users is an example of a conversational AI workload.
# Yes
An application that displays images relating to an entered search term is an example of a conversational AI workload.
# No
A web form used to submit a request to reset a password is an example of a conversational AI workload.
# No
According to the Microsoft Azure AI Fundamentals (AI-900) official study materials, conversational AI workloads are those that enable interaction between humans and AI systems through natural language conversation, either by text or speech. These workloads are typically implemented using Azure Bot Service, Azure Cognitive Services for Language, and Azure OpenAI Service. The key characteristic of a conversational AI workload is the presence of dialogue-the AI interprets user intent and provides a meaningful, contextual response in a conversation-like manner.
* "A bot that responds to queries by internal users is an example of a conversational AI workload." # YESThis fits the definition perfectly. A chatbot that helps employees (internal users) by answering questions about policies, IT issues, or HR procedures is a typical example of conversational AI. It uses natural language understanding to interpret questions and provide automated responses. Microsoft Learn explicitly identifies chatbots as conversational AI solutions designed for both internal and external interactions.
* "An application that displays images relating to an entered search term is an example of a conversational AI workload." # NOThis is not conversational AI because there is no dialogue or language understanding involved. It is an example of information retrieval or computer vision if it uses image recognition, but not conversation.
* "A web form used to submit a request to reset a password is an example of a conversational AI workload." # NOA password reset form is a simple UI-driven process that doesn't require AI or conversational logic. It performs a fixed function based on user input but does not understand or respond to natural language.
Therefore, based on the AI-900 study guide, only the first statement is an example of a conversational AI workload, while the second and third statements are not.
NEW QUESTION # 174
Match the types of machine learning to the appropriate scenarios.
To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right.
Each machine learning type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Regression
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.
Box 2: Classification
Classification is a machine learning method that uses data to determine the category, type, or class of an item or row of data.
Box 3: Clustering
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.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression
NEW QUESTION # 175
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 176
You need to create a customer support solution to help customers access information. The solution must support email, phone, and live chat channels. Which type of Al solution should you use?
Answer: B
NEW QUESTION # 177
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