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100% Pass Quiz 2025 AI-102: Professional New Designing and Implementing a Microsoft Azure AI Solution Dumps Sheet

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Microsoft AI-102 certification exam is a valuable credential for individuals seeking to demonstrate their proficiency in designing and implementing AI solutions on the Microsoft Azure platform. With a strong understanding of AI and machine learning concepts, as well as practical experience working on real-world projects, candidates can prepare for and pass the exam with confidence.

Microsoft AI-102 certification exam is designed for professionals who are interested in implementing and designing artificial intelligence (AI) solutions on the Microsoft Azure platform. Designing and Implementing a Microsoft Azure AI Solution certification exam targets individuals who possess a strong understanding of Azure services, data storage options, data processing, and data analytics. AI-102 Exam is also ideal for individuals who have experience in developing AI and machine learning models using popular frameworks such as TensorFlow and PyTorch.

To pass AI-102 exam, the candidate needs to have a deep understanding of AI and machine learning concepts, as well as knowledge of various Azure services and tools that are used for implementing AI solutions. The candidate should also be familiar with programming languages such as Python and R, as well as various machine learning frameworks such as TensorFlow and PyTorch.

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q205-Q210):

NEW QUESTION # 205
You are developing a text processing solution.
You have the function shown below.

Answer:

Explanation:

NEW QUESTION # 206
You are developing a webpage that will use the Video Indexer service to display videos of internal company meetings.
You embed the Player widget and the Cognitive Insights widget into the page.
You need to configure the widgets to meet the following requirements:
Ensure that users can search for keywords.
Display the names and faces of people in the video.
Show captions in the video in English (United States).
How should you complete the URL for each widget? To answer, drag the appropriate values to the correct targets. Each value 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:

NEW QUESTION # 207
You are training a Language Understanding model for a user support system.
You create the first intent named GetContactDetails and add 200 examples.
You need to decrease the likelihood of a false positive.
What should you do?

A. Add a machine learned entity.
B. Enable active learning.
C. Add examples to the None intent.
D. Add additional examples to the GetContactDetails intent.

Answer: B

Explanation:
Explanation
Active learning is a technique of machine learning in which the machine learned model is used to identify informative new examples to label. In LUIS, active learning refers to adding utterances from the endpoint traffic whose current predictions are unclear to improve your model.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-glossary

NEW QUESTION # 208
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 # 209
You are building a Language Understanding model for purchasing tickets.
You have the following utterance for an intent named PurchaseAndSendTickets.
Purchase [2 audit business] tickets to [Paris] [next Monday] and send tickets to [email@domain.com] You need to select the entity types. The solution must use built-in entity types to minimize training data whenever possible.
Which entity type should you use for each label? To answer, drag the appropriate entity types to the correct labels. Each entity type 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.

Answer:

Explanation:

Explanation
Graphical user interface, application Description automatically generated

Box 1: GeographyV2
The prebuilt geographyV2 entity detects places. Because this entity is already trained, you do not need to add example utterances containing GeographyV2 to the application intents.
Box 2: Email
Email prebuilt entity for a LUIS app: Email extraction includes the entire email address from an utterance.
Because this entity is already trained, you do not need to add example utterances containing email to the application intents.
Box 3: Machine learned
The machine-learning entity is the preferred entity for building LUIS applications.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-geographyv2
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-email
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/reference-entity-machine-learned-entity

NEW QUESTION # 210
......

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Jim Ford Jim Ford

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