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AI-900 exam torrent Microsoft study guide

The AI-900 exam covers a range of topics related to artificial intelligence, including machine learning, natural language processing, computer vision, and conversational AI. It also focuses on the ethical considerations and responsible use of AI. AI-900 exam is ideal for individuals who are interested in pursuing a career in data science, software engineering, or cloud computing.

NO.38 To complete the sentence, select the appropriate option in the answer area.

Explanation

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer

NO.39 You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use?

Computer Vision

Face

Text Analytics

Form Recognizer

Explanation:

NO.40 correctly completes the sentence.

NO.41 For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai

NO.42 To complete the sentence, select the appropriate option in the answer area.

NO.43 Which type of machine learning should you use to predict the number of gift cards that will be sold next month?

classification

regression

clustering

Section: Describe fundamental principles of machine learning on Azure
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

NO.44 You are building an AI system.
Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?

Ensure that all visuals have an associated text that can be read by a screen reader.

Enable autoscaling to ensure that a service scales based on demand.

Provide documentation to help developers debug code.

Ensure that a training dataset is representative of the population.

Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

NO.45 To complete the sentence, select the appropriate option in the answer area.

Explanation

Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing

NO.46 What are three stages in a transformer model? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.

object detection

embedding calculation

tokenization

next token prediction

anonymization

NO.47 For each of the following statements, select Yes if the statement is True. Otherwise, select No. NOTE: Each correct selection is worth one point.

NO.48 You plan to deploy an Azure Machine Learning model by using the Machine Learning designer Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

1 – Ingest and prepare a dataset.
2 – Split the data randomly in training data and validation data.
3 – Train the model.
4 – Evaluate the model against the validation dataset.

NO.49 For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Explanation
Graphical user interface, text, application, email Description automatically generated

Box 1: No
The validation dataset is different from the test dataset that is held back from the training of the model.
Box 2: Yes
A validation dataset is a sample of data that is used to give an estimate of model skill while tuning model’s hyperparameters.
Box 3: No
The Test Dataset, not the validation set, used for this. The Test Dataset is a sample of data used to provide an unbiased evaluation of a final model fit on the training dataset.
Reference:
https://machinelearningmastery.com/difference-test-validation-datasets/

NO.50 What should you do to ensure that an Azure OpenAI model generates accurate responses that include recent events?

Modify the system message.

Add grounding data.

Add few-shot learning.

Add training data.

NO.51 You plan to apply Text Analytics API features to a technical support ticketing system.
Match the Text Analytics API features to the appropriate natural language processing scenarios.
To answer, drag the appropriate feature from the column on the left to its scenario on the right. Each feature may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics

NO.52 You need to scan the news for articles about your customers and alert employees when there is a negative article. Positive articles must be added to a press book.
Which natural language processing tasks should you use to complete the process? To answer, drag the appropriate tasks to the correct locations. Each task may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/named-entity-recognition
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-sentiment-analysis

NO.53 Providing contextual information to improve the responses quality of a generative Al solution is an example of which prompt engineering technique?

providing examples

fine-tuning

grounding data

system messages

NO.54 Match the principles of responsible AI to appropriate requirements.
To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Explanation:
Graphical user interface, text, application, email Description automatically generated

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

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Prerequisites

Microsoft AI-900 is a foundational-level certification exam. Therefore, the potential candidates are required to possess basic knowledge of the AI and ML concepts. They also need to have an understanding of the associated Microsoft Azure services. These individuals can have technical or non-technical backgrounds. They do not need to have software engineering or science experience before taking the test. However, some programming experience or knowledge would be an advantage for them.

The AI-900 exam is designed to validate the students’ knowledge of AI workloads & considerations, as well as attributes of computer vision workloads within Azure. It also certifies their understanding of the basic principles of ML on Azure and attributes of conversational Artificial Intelligence workloads on Azure. The applicants are also required to demonstrate their knowledge of the attributes of NLP (Natural Language Processing) workloads on Azure.

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[Aug-2025] Feel Microsoft AI-900 Dumps PDF Will likely be The best Option [Q38-Q54]

Prerequisites