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The Microsoft AI-102 certification can play a crucial role in career advancement and increase your earning potential. By obtaining Microsoft AI-102 certification, you can demonstrate to employers your expertise and knowledge. The Microsoft world is constantly changing its dynamics. With the Microsoft AI-102 Certification Exam you can learn these changes and stay updated with the latest technologies and trends.

The AI-102 Certification Exam is an advanced-level certification that requires a deep understanding of Microsoft Azure and AI technologies. Candidates who pass AI-102 exam will be able to demonstrate their expertise in designing and implementing AI solutions using Microsoft Azure. They will also be able to use their knowledge to help organizations leverage AI technologies to improve their business processes and gain a competitive edge in the market.

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Microsoft AI-102 exam is a challenging but rewarding certification that can help professionals demonstrate their expertise in designing and implementing AI solutions on the Azure platform. Whether you're looking to advance your career, improve your skills, or stay up-to-date with the latest technologies, AI-102 Exam is an excellent way to showcase your capabilities and stand out in the competitive AI job market.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q120-Q125):

NEW QUESTION # 120
You plan to use Microsoft Foundry to implement a Retrieval Augmented Generation (RAG) pattern.
You have grounding data stored in an Azure Files share.
You need to configure a Microsoft Foundry project to ensure that a model can use the grounding data.
Which actions should you perform in sequence? To answer, drag the appropriate actions to the correct order.
Each action 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:
Step 1: Create a project. (Given)
Step 2: Add a data connection.
Step 3: Add a deployment.
Explanation:
Add a data connection: Before the model can " see " your grounding data stored in an Azure Files share, you must establish a connection. This step allows the project to securely access and index the external data source so it can be used for retrieval.
Add a deployment: In Microsoft Foundry, you don ' t just " add a model " in a vacuum; you must deploy a specific model (such as a GPT-4 chat model or an embedding model) to make it active and available to interact with your data and respond to queries.


NEW QUESTION # 121
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 122
You create a knowledge store for Azure Cognitive Search by using the following JSON.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE Each correct selection is worth one point.

Answer:

Explanation:

Explanation


NEW QUESTION # 123
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a chatbot that uses question answering in Azure Cognitive Service for Language.
Users report that the responses of the chatbot lack formality when answering spurious questions.
You need to ensure that the chatbot provides formal responses to spurious questions.
Solution: From Language Studio, you remove all the chit-chat question and answer pairs, and then retrain and republish the model.
Does this meet the goal?

Answer: A


NEW QUESTION # 124
You have a chatbot that uses Custom question answering based on the frequently asked questions (FAQ) published on a corporate website.
Users report that for questions answered in the FAQ, the chatbot returns the following response:
"No good match found in KB."
You need to ensure that the chatbot answers the questions correctly. The solution must minimize administrative effort.
What should you do in Azure AI Language Studio?

Answer: D

Explanation:
The response "No good match found in KB" indicates that the knowledge base (KB) used by the chatbot is not finding relevant answers, possibly due to outdated or missing information. By selecting Refresh URL in Azure AI Language Studio, you can update the knowledge base with the latest content from the FAQ page on the corporate website. This action ensures that the chatbot has access to current and accurate information, minimizing administrative effort as it automates the update process.


NEW QUESTION # 125
......

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