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Practice Microsoft AI-900 Exam - Reliable AI-900 Exam Book
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Microsoft AI-900 certification provides individuals with a strong foundation in the basics of AI and Azure, which can be useful in various roles, such as data analysts, developers, or project managers. Microsoft Azure AI Fundamentals certification also serves as a prerequisite for other advanced Azure certifications. Passing the exam requires a score of 700 or higher out of a possible 1000 points.
The Microsoft Azure AI Fundamentals certification exam is designed for professionals across a range of industries, including software developers, data scientists, business analysts, and IT professionals. Whether you are looking to advance your career or gain new skills, the AI-900 Certification Exam provides a great opportunity to demonstrate your expertise in AI and machine learning.
Reliable AI-900 Exam Book - Test AI-900 PatternNormally a haphazard IT exam will become your power of progress which may change your whole life. As one of Microsoft important certifications AI-900 exam is an important exam. Our AI-900 exam learning materials are updated with latest official exam change, PDFBraindumps will release new version of AI-900 in first time. If you are still hesitating about purchasing exam learning materials, you can consider the free demo materials in our website for your reference.
Microsoft AI-900 Certification Exam is an excellent starting point for individuals who want to develop their Azure AI skills. By passing the exam, you will demonstrate your knowledge of AI and ML concepts, and you will have a better understanding of how these technologies can be used to solve real-world problems. You will also learn how to use Azure AI services and tools to build intelligent applications that can analyze data, recognize speech, and understand natural language.
Microsoft Azure AI Fundamentals Sample Questions (Q261-Q266):NEW QUESTION # 261
You need to use Azure Machine Learning designer to build a model that will predict automobile prices.
Which type of modules should you use to complete the model? To answer, drag the appropriate modules to the correct locations. Each module 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.

Answer:
Explanation:

Explanation:

Box 1: Select Columns in Dataset
For Columns to be cleaned, choose the columns that contain the missing values you want to change. You can choose multiple columns, but you must use the same replacement method in all selected columns.
Example:

The task is to build a machine learning model in Azure Machine Learning designer to predict automobile prices, which is a regression problem since the output (price) is a continuous numeric value. The pipeline must follow the logical data preparation, training, and evaluation flow as outlined in the Microsoft Azure AI Fundamentals (AI-900) study guide and Microsoft Learn module "Create a machine learning model with Azure Machine Learning designer." Here's the correct sequence and reasoning:
* Select Columns in Dataset:The first step after loading the raw automobile dataset is to choose the relevant columns that will be used as features (inputs) and the label (output). This module ensures that only necessary fields (for example, horsepower, engine size, mileage, etc.) are used to train the model while excluding irrelevant columns like vehicle ID or serial number.
* Split Data:Next, the cleaned and filtered dataset must be split into two subsets: training data and testing data (often 70/30 or 80/20). This allows the model to be trained on one portion and evaluated on the other to measure predictive accuracy.
* Linear Regression:Since automobile price prediction is a numeric prediction task, the appropriate learning algorithm is Linear Regression. This supervised algorithm learns relationships between numeric features and the target (price).
Finally, the workflow connects the training data and Linear Regression module to the Train Model module, which outputs a trained regression model. The trained model is then linked to the Score Model module to compare predicted vs. actual prices.
This pipeline fully aligns with Microsoft's recommended process for regression in Azure ML Designer.
NEW QUESTION # 262
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 ... ure-bot-service-4.0 All 3 are correct as they are the different channels to connect with a bot Office 365 email - Enable a bot to communicate with users via Office 365 email.
Microsoft Teams - Configure a bot to communicate with users through Microsoft Teams.
Web Chat - Automatically configured for you when you create a bot with the Bot Framework Service.
https://docs.microsoft.com/en-us ... ure-bot-service-4.0
NEW QUESTION # 263
Select the answer that correctly completes the sentence.

Answer:
Explanation:

NEW QUESTION # 264
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:

Box 1: Yes
Content Moderator is part of Microsoft Cognitive Services allowing businesses to use machine assisted moderation of text, images, and videos that augment human review.
The text moderation capability now includes a new machine-learning based text classification feature which uses a trained model to identify possible abusive, derogatory or discriminatory language such as slang, abbreviated words, offensive, and intentionally misspelled words for review.
Box 2: No
Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.
Box 3: Yes
Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Reference:
https://azure.microsoft.com/es-e ... ator-public-preview
https://docs.microsoft.com/en-us ... language-processing
NEW QUESTION # 265
Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items.
Which type of AI workload should the company use?
- A. computer vision
- B. natural language processing
- C. anomaly detection
- D. conversational AI
Answer: A
Explanation:
Section: Describe features of computer vision workloads on Azure
Explanation:
Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.
Reference:
https://docs.microsoft.com/en-us ... ter-vision/overview
NEW QUESTION # 266
......
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