Test AI-102 Passing Score - AI-102 Advanced Testing Engine

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Microsoft AI-102 Exam is designed for professionals who want to become certified in designing and implementing AI solutions in Microsoft Azure. AI-102 exam is a part of the Azure AI Engineer Associate certification track and is intended for candidates who have a fundamental understanding of Azure services and AI concepts.

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To prepare for the Microsoft AI-102 Certification Exam, candidates should have a good understanding of AI concepts and experience working with Microsoft Azure. They should also be familiar with the Azure AI services and know how to use them to build AI solutions. Microsoft offers a variety of training resources, including self-paced online courses, classroom training, and hands-on labs, to help candidates prepare for the exam. Additionally, candidates can take practice exams and participate in study groups to gain a better understanding of the exam format and content.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q18-Q23):

NEW QUESTION # 18
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 random questions that are outside the scope of the knowledge base.
You need to ensure that the chatbot provides formal responses to these spurious questions.
Solution: From Language Studio, you modify the question and answer pairs for the custom intents, and then retrain and republish the model.
Does this meet the goal?

Answer: A

Explanation:
* The requirement is to ensure the chatbot provides formal responses to spurious questions (random/off- topic).
* The correct way to handle this is to add a chit-chat personality dataset (such as qna_chitchat_professional.tsv) in Language Studio, retrain, and republish.
* Modifying existing QnA pairs for custom intents (as the solution suggests) would not cover spurious
/off-topic questions automatically. It only affects known knowledge base intents.
Therefore, this solution does not meet the goal.
The answer: B
Reference: Add chit-chat to a Question Answering project


NEW QUESTION # 19
You have an Azure subscription that contains an Azure Al service resource named CSAccount1 and a virtual network named VNet1 CSAaccount1 is connected to VNet1 You need to ensure that only specific resources can access CSAccount1. The solution must meet the following requirements:
* Prevent external access to CSAccount1
* Minimize administrative effort
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct answer is worth one point.

Answer: A,E

Explanation:
You need to restrict access to an Azure AI services (Cognitive Services) account so that only specific resources on a virtual network can reach it and block public (external) access with minimum effort.
The simplest approach is to use Virtual Network service endpoints for Microsoft.CognitiveServices:
* Enable the service endpoint on the VNet/subnet (VNet1) for Microsoft.CognitiveServices
* This routes traffic from that subnet to the Cognitive Services account over the Azure backbone and allows the account to identify traffic coming from that subnet.
* Modify the Cognitive Services account's network settings (CSAccount1)
* Set Public network access: Disabled (or allow access from Selected networks) and add the VNet
/subnet enabled with the service endpoint to the allowed list.
* This blocks all external access while permitting access from only the specified VNet resources.
Other options are not appropriate:
* A. Modify VNet settings (generic) doesn't target the required service endpoint action.
* C. IAM controls user/role authorization, not network access.
* D. Create a virtual subnet isn't necessary if the VNet/subnet already exists; using service endpoints avoids creating/maintaining private endpoints.
Therefore, the correct pair is B and E.
* Secure Cognitive Services with virtual network service endpoints - explains enabling Microsoft.
CognitiveServices service endpoints on a subnet and restricting the account to selected networks.
https://learn.microsoft.com/azure/ai-services/cognitive-services-virtual-networks
* Network access restrictions for Cognitive Services - details configuring "Public network access" and allowing access from selected VNets/subnets.https://learn.microsoft.com/azure/ai-services/cognitive- services-network-security
* Overview of securing Azure AI services - covers options (service endpoints vs. private endpoints) and minimal configuration steps.https://learn.microsoft.com/azure/ai-services/security-networking


NEW QUESTION # 20
You are building a chatbot.
You need to use the Content Moderator service to identify messages that contain sexually explicit language.
Which section in the response from the service will contain the category score, and which category will be assigned to the message? To answer, select the appropriate options in the answer area, NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

The scenario:
* You are using Azure Content Moderator to filter chatbot messages.
* You must detect sexually explicit language.
* The question asks: which section of the response provides the category score, and which category number corresponds to sexual content.
Step 1 - Understand Content Moderator response structure
Content Moderator returns several sections:
* Classification # Provides scores for categories of potentially unsafe or inappropriate content.
* PII # Identifies personally identifiable information (phone numbers, email, addresses, etc.).
* Terms # Identifies terms from a custom or built-in blocklist.
Since the requirement is sexually explicit language detection, the correct section is Classification.
Step 2 - Identify the correct Category
Content Moderator's Classification section returns three default categories:
* Category 1: Potentially sexually explicit or adult content.
* Category 2: Potentially sexually suggestive content.
* Category 3: Offensive or derogatory language.
Since the question specifies sexually explicit language, the correct category is 1.
Correct Answer Mapping:
* Section: Classification
* Category: 1
* Content Moderator - Text moderation (classification categories explained)
* Content Moderator overview and response schema


NEW QUESTION # 21
You are developing the smart e-commerce project.
You need to design the skillset to include the contents of PDFs in searches.
How should you complete the skillset design diagram? To answer, drag the appropriate services to the correct stages. Each service 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:

Reference:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-concept-intro
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-ocr


NEW QUESTION # 22
You have a computer that contains the files shown in the following table.

Which files can you upload and analyze by using Azure Al Video Indexer?

Answer: C

Explanation:
Azure AI Video Indexer (VI) imposes limits on both file duration and file size:
* Duration: Up to 6 hours for all presets; Basic Audio preset supports up to 12 hours.
* Size: When uploading from your device, the limit is 2 GB (uploading by URL allows up to 30 GB).
* Formats: MP4, AVI (video) and MP3 (audio codec/file) are supported.
Evaluating each file:
* File1 - MP4, 34 mins, 1,500 MB: Within 6-hour duration and under 2 GB # Supported.
* File2 - AVI, 500 mins (#8h20m), 1,700 MB: Exceeds the 6-hour limit # Not supported.
* File3 - MP3, 300 mins (5h), 980 MB: Under 6 hours (and also under the 12-hour Basic Audio limit) and under 2 GB # Supported.
* File4 - MP4, 350 mins (#5h50m), 2,800 MB: Duration is under 6 hours but size exceeds 2 GB for device uploads # Not supported (unless uploaded by URL, which the question doesn't state).
Therefore, the files you can upload and analyze (under standard device upload constraints) are File1 and File3 only.
Microsoft References
* Support matrix & limits - file duration (6h for all presets; 12h for Basic Audio), device upload size limit 2 GB; supported formats (MP4, AVI, WAV, etc.) and audio codecs including MP3. Microsoft Learn
* Release notes - increase of duration limit from 4h to 6h (and 12h for Basic Audio). Microsoft Learn
* Upload guidance - device upload 2 GB vs 30 GB via URL.


NEW QUESTION # 23
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