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Microsoft AI-102 Exam is designed to test the candidate's ability to design and implement AI solutions using Azure technologies. AI-102 exam covers a range of concepts, such as data pre-processing, model training and evaluation, deployment, and monitoring. Additionally, the exam assesses the candidate's ability to work with different Azure services and tools, including Azure Machine Learning, Cognitive Services, and Bot Services. Furthermore, the exam evaluates the candidate's ability to design and implement secure and scalable AI solutions that meet business requirements.

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Microsoft AI-102 is an exam that is designed for IT professionals who are interested in Microsoft Azure and artificial intelligence technologies. AI-102 exam tests the candidate's knowledge and skills in designing and implementing an AI solution using Azure services. AI-102 Exam is a part of the Microsoft Certified: Azure AI Engineer Associate certification and is aimed at professionals who have experience in AI solution development and deployment.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q44-Q49):

NEW QUESTION # 44
You are building a social media messaging app.
You need to identify in real time the language used in messages.

A. Azure AI Foundry Content Safety
B. Azure AI Speech
C. Azure AI Translator
D. Azure AI Language

Answer: C

NEW QUESTION # 45
You are building a chatbot by using the Microsoft Bot Framework Composer. You have the dialog design shown in the following exhibit.

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:

Comprehensive Detailed Explanation
The screenshot shows a Bot Framework Composer dialog that collects user input:
user.name is an entity.
False.
user.name is a property in bot state (a variable), not an entity.
Entities are part of LUIS/NLU models (e.g., PersonName, DateTime).
The dialog asks for a user name and a user age and assigns appropriate values to the user.name and user.age properties.
True.
The dialog explicitly has:
A Bot Asks (Text) step # assigns user's response to user.name .
A Bot Asks (Number) step # assigns response to user.age .
So the values are stored in those properties.
The chatbot attempts to take the first non-null entity value for userName or personName and assigns the value to user.name.
True.
On the right-hand side, the Value expression is:
=coalesce(@userName, @personName)
coalesce returns the first non-null value.
This means if userName entity is available, it is used; otherwise, personName is used.
That result is assigned to user.name .
Correct Answers:
No
Yes
Yes
Microsoft References
Bot Framework Composer - Manage variables and properties
Bot Framework Composer - Recognizers and entities
Coalesce function in Composer expressions

NEW QUESTION # 46
You are developing an application that will recognize faults in components produced on a factory production line. The components are specific to your business.
You need to use the Custom Vision API to help detect common faults.
Which three 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.

Answer:

Explanation:

Explanation
Graphical user interface, text, application, chat or text message Description automatically generated

Step 1: Create a project
Create a new project.
Step 2: Upload and tag the images
Choose training images. Then upload and tag the images.
Step 3: Train the classifier model.
Train the classifier
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifie

NEW QUESTION # 47
You train a Custom Vision model used in a mobile app.
You receive 1,000 new images that do not have any associated data.
You need to use the images to retrain the model. The solution must minimize how long it takes to retrain the model.
Which three actions should you perform in the Custom Vision portal? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:
Comprehensive Detailed Explanation
You have 1,000 untagged images and want to retrain the Custom Vision model as quickly as possible. The key is to avoid manually tagging every image, since that is time-consuming.
Step 1: Upload all the images
First, bulk upload all the untagged images into the Custom Vision project.
At this stage, they will have no labels.
Step 2: Get suggested tags
The Custom Vision portal offers an auto-suggest feature that uses the current trained model to predict tags for new, untagged images.
This dramatically reduces manual tagging effort.
Step 3: Review the suggestions and confirm the tags
Auto-suggestions are not always 100% accurate, so you must confirm or correct them.
Once confirmed, the dataset is labeled properly and ready for retraining.
Why not the other options?
Upload the images by category / group into category folders: This is only helpful if the images already have known categories, but here they arrive untagged.
Tag the images manually: This would take much longer and contradicts the requirement to minimize time.
Correct Sequence
Upload all the images.
Get suggested tags.
Review the suggestions and confirm the tags.
Microsoft References
Custom Vision - Tag images
Custom Vision - Suggested tags with predictions

NEW QUESTION # 48
You run the following command.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

Answer:

Explanation:

Explanation
Text Description automatically generated

Box 1: Yes
http://localhost:5000/status
Also requested with GET, this verifies if the api-key used to start the container is valid without causing an endpoint query.
Box 2: Yes
The command saves container and LUIS logs to output mount at C:output, located on container host Box 3: Yes
http://localhost:5000/swagger
The container provides a full set of documentation for the endpoints and a Try it out feature. With this feature, you can enter your settings into a web-based HTML form and make the query without having to write any code. After the query returns, an example CURL command is provided to demonstrate the HTTP headers and body format that's required.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto

NEW QUESTION # 49
......

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