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The Microsoft AI-102 certification exam has grown in popularity in today's modern Microsoft era. Success in the AI-102 exam gives aspirants the chance to upskill and remain competitive in the challanging job market. Those who successfully crack the Designing and Implementing a Microsoft Azure AI Solution (AI-102) test prove to their employers that they are skilled enough to get well-paying jobs and promotions. Pass4Leader is aware that preparing with invalid Microsoft AI-102 Exam Questions wastes money and time.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Exam Duration: | 100-120 |
| Certificate Validity Period: | 1 year (renewable annually via Microsoft certification renewal assessment) |
| Available Languages: | French, German, Simplified Chinese, Japanese, English, Portuguese (Brazil), Spanish (Latin America), Korean |
| Real Exam Qty: | 40-60 (approximate range) |
| Exam Price: | USD 165 (varies by country/region) |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals (AI-900) |
| Exam Format: | Build/review solution scenarios, Multiple response, Case studies, Multiple choice, Drag and drop |
| Passing Score: | 700 (out of 1000) |
| Recommended Training: | Azure AI Engineer Associate Study Resources Microsoft Learn AI-102 Learning Path |
| Exam Registration: | Microsoft Learn AI-102 Certification Page Microsoft Certification Exam Registration (Pearson VUE) |
| Sample Questions: | Microsoft AI-102 Sample Questions |
| Exam Way: | Online proctored or onsite test center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required, but familiarity with Azure fundamentals and AI/ML concepts is recommended |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/ |
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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.
NEW QUESTION # 146
You have an Azure Al Search resource named Search1.
You have an app named App1 that uses Search1 to index content.
You need to add a custom skill to App1 to ensure that the app can recognize and retrieve properties from invoices by using Search1.
What should you include in the solution?
Answer: C
Explanation:
You're indexing content with Azure AI Search and you want to recognize and retrieve properties from invoices (such as invoice number, vendor, dates, totals, line items). The Azure service designed for structured information extraction from forms and documents is Azure AI Document Intelligence (formerly Form Recognizer).
In an Azure AI Search enrichment pipeline, you add a skillset. To pull structured fields from invoices, include a skill that invokes Document Intelligence's prebuilt Invoice model. This model already extracts common invoice fields, so you don't have to train anything-meeting the goal of minimal effort. You can wire this in using the built-in Document Intelligence skill for Search, or as a custom Web API skill that calls the Document Intelligence REST API, and then map the extracted fields into your index for retrieval and filtering.
Why the others are not suitable:
* Azure OpenAI is for generative/LLM tasks, not schema-level invoice field extraction.
* Azure AI Immersive Reader improves reading accessibility; it doesn't extract business fields.
* Azure Custom Vision is for image classification/object detection, not form/key-value extraction.
Microsoft References (Azure AI Solution)
* Azure AI Search skillsets - add AI enrichment and custom skills (Web API skill).
* Document Intelligence skill for Azure AI Search (formerly Form Recognizer skill) - integrate extraction into indexing.
* Prebuilt Invoice model - fields extracted (vendor, invoice ID/date, totals, taxes, line items, etc.).
* Azure AI Document Intelligence overview - key-value extraction and table/line-item parsing from documents.
NEW QUESTION # 147
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 lark formality when answering spurious questions You need to ensure that the chatbot provides formal responses to spurious questions.
Solution: From Language Studio, you change the chitchat source to qna_chitchit_friindly.tsv. and then retrain and republish the model.
Does this meet the goal?
Answer: B
Explanation:
Comprehensive Detailed Explanation
Scenario:
You have a chatbot using Question Answering in Azure Cognitive Service for Language.
Users report that the chatbot's responses to spurious questions (nonsense or off-topic input) lack formality.
The goal is to ensure the chatbot provides formal responses.
Proposed Solution:
Change the chitchat source to qna_chitchat_friendly.tsv in Language Studio, retrain, and republish.
Analysis:
Azure provides prebuilt chitchat datasets for handling spurious/off-topic inputs.
These datasets come in three styles:
Professional # formal tone
Friendly # casual/informal tone
Witty # humorous tone
If you want formal responses, you must use the professional chitchat dataset ( qna_chitchat_professional.tsv ).
The proposed solution uses qna_chitchat_friendly.tsv , which produces informal/casual responses, not formal ones.
Therefore, the solution does not meet the goal.
The Answer: B. No
Microsoft References
Add chit-chat to your QnA Maker knowledge base
Question Answering with chit-chat styles
NEW QUESTION # 148
You have an app that uses Azure Al and a custom trained classifier to identity products in images. You need to add new products to the classifier. The solution must meet the following requirements:
* Minimize how long it takes to add the products
* Minimize development effort.
Which five 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:
NEW QUESTION # 149
Match the types of workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may he used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
NEW QUESTION # 150
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:
Reference:
https://docs.microsoft.com/en-us/composer/concept-language-generation
https://docs.microsoft.com/en-us/azure/data-explorer/kusto/query/coalescefunction
NEW QUESTION # 151
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