LATEST UPLOAD MICROSOFT CERTIFICATION AI-900 EXAM COST: MICROSOFT AZURE AI FUNDAMENTALS | LATEST AI-900 BRAINDUMPS FREE

Latest Upload Microsoft Certification AI-900 Exam Cost: Microsoft Azure AI Fundamentals | Latest AI-900 Braindumps Free

Latest Upload Microsoft Certification AI-900 Exam Cost: Microsoft Azure AI Fundamentals | Latest AI-900 Braindumps Free

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Prerequisites

This certification test has no official prerequisites. However, the interested candidates must develop their skills and knowledge in the domains of the exam topics. Although the individuals do not need this test to pursue more advanced Azure role-based options, they can gain extensive expertise while preparing for this exam. Your knowledge base can contribute to the success of more advanced certificates such as Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure Data Scientist Associate.

Microsoft AI-900 or Microsoft Azure AI Fundamentals Exam is a certification exam that focuses on the fundamentals of Artificial Intelligence (AI) and its applications in Microsoft Azure. AI-900 exam is designed for individuals who want to explore the basics of AI and understand how it can be integrated into various applications. AI-900 exam covers topics such as machine learning, cognitive services, natural language processing, and computer vision.

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To pass the AI-900 Exam, candidates must demonstrate their understanding of key concepts related to AI, such as machine learning, natural language processing, and computer vision. They must also be able to identify the different types of AI solutions and understand how to use Azure services to develop and deploy them.

Microsoft Azure AI Fundamentals Sample Questions (Q154-Q159):

NEW QUESTION # 154
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.

Answer:

Explanation:

Explanation

Box1: Sentiment analysis
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Box 2: Broad entity extraction
Broad entity extraction: Identify important concepts in text, including key Key phrase extraction/ Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations.
Box 3: Entity Recognition
Named Entity Recognition: Identify and categorize entities in your text as people, places, organizations, date/time, quantities, percentages, currencies, and more. Well-known entities are also recognized and linked to more information on the web.
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


NEW QUESTION # 155
You plan to use Azure Cognitive Services to develop a voice controlled personal assistant app.
Match the Azure Cognitive Services to the appropriate tasks.
To answer, drag the appropriate service from the column on the left to its description on the right Each service may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 156
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 # 157
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 158
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation

Azure Custom Vision is a cognitive service that lets you build, deploy, and improve your own image classifiers. An image classifier is an AI service that applies labels (which represent classes) to images, according to their visual characteristics. Unlike the Computer Vision service, Custom Vision allows you to specify the labels to apply.
Note: The Custom Vision service uses a machine learning algorithm to apply labels to images. You, the developer, must submit groups of images that feature and lack the characteristics in question. You label the images yourself at the time of submission. Then the algorithm trains to this data and calculates its own accuracy by testing itself on those same images. Once the algorithm is trained, you can test, retrain, and eventually use it to classify new images according to the needs of your app. You can also export the model itself for offline use.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/home custom vision - This is a type of computer vision service which helps in building/training models using user provided data Creating an object detection solution with Custom Vision consists of three main tasks. First you must use upload and tag images, then you can train the model, and finally you must publish the model so that client applications can use it to generate predictions.
https://docs.microsoft.com/en-us/learn/modules/detect-objects-images-custom-vision/2-object-detection-azure


NEW QUESTION # 159
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