BONUS!!! Download part of SureTorrent AI-102 dumps for free: https://drive.google.com/open?id=10emuG00T-jRN08WOdwCedWT_mS92wrhD
Our AI-102 guide torrent has gone through strict analysis and summary according to the past exam papers and the popular trend in the industry and are revised and updated. The AI-102 exam questions have simplified the sophisticated notions. The software boosts varied self-learning and self-assessment functions to check the learning results. The software of our AI-102 Test Torrent provides the statistics report function and help the students find the weak links and deal with them. With this version of our AI-102 exam questions, you will be able to pass the exam easily.
| Section | Objectives |
|---|---|
| Topic 1: Implement Computer Vision Solutions | - Extract information using OCR and form recognition - Implement custom vision models - Analyze images and videos using Azure AI Vision |
| Topic 2: Implement Natural Language Processing Solutions | - Implement question answering and conversational AI - Translate and interpret language using Azure AI services - Analyze text using Azure AI Language |
| Topic 3: Implement Generative AI Solutions | - Build retrieval-augmented generation (RAG) solutions - Implement Azure OpenAI Service solutions - Integrate prompt engineering techniques |
| Topic 4: Implement Knowledge Mining and Document Intelligence | - Implement document intelligence solutions - Build Azure AI Search solutions - Enrich and index data for search scenarios |
| Topic 5: Plan and Manage an Azure AI Solution | - Select appropriate Azure AI services - Manage security, compliance, and responsible AI - Plan solution requirements and architecture |
If you are boring for current jobs and want to jump out of bottleneck, an IT certification will be a good way out for you. SureTorrent offers the highest passing rate of AI-102 latest practice exam online to help you restart now. 3-5 years' experience in IT field and a professional certification will help you be qualified for some senior position or management positions. AI-102 latest practice exam online can be your first step for Microsoft certification and help you pass exam 100%.
NEW QUESTION # 400
You develop an app in O named App1 that performs speech-to-speech translation.
You need to configure App1 to translate English to German.
How should you complete the speechTransiationConf ig object? 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 # 401
You are building content for a video training solution.
You need to create narration to accompany the video content. The solution must use Custom Neural Voice.
What should you use to create a custom neural voice, and which service should you use to generate the narration? To answer, select the appropriate options in the answer area.
NOTE: Each correct answer is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 402
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: B
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.
Reference: Add chit-chat to a Question Answering project
NEW QUESTION # 403
You are examining the Language service output of an application.
The text analyzed is: Our tour guide took us up the Space Needle during our trip to Seattle last week.
The response contains the data shown in the following table.
Which Language service API is used 10 analyze the Text?
Answer: A
Explanation:
The given text:
" Our tour guide took us up the Space Needle during our trip to Seattle last week. " The Language service output shows:
Text
Category
ConfidenceScore
Tour guide
PersonType
0.45
Space Needle
Location
0.38
Trip
Event
0.78
Seattle
Location
0.78
Last week
DateTime
0.80
Why the correct answer is Named Entity Recognition (NER):
NER identifies named entities (people, places, dates, events, organizations, etc.) in text and classifies them into categories with confidence scores.
In the table, we see categories such as PersonType, Location, Event, DateTime # these are classic outputs of NER.
Why not the others:
A). Entity Linking # Identifies entities and links them to a knowledge base (like Wikipedia). Output would include links/IDs rather than just categories.
C). Key Phrase Extraction # Returns important phrases ("tour guide", "Space Needle", "trip", "Seattle", "last week") but does not assign categories like PersonType, Location, DateTime.
D). Sentiment Analysis # Returns sentiment scores (positive/neutral/negative), not entity categories.
The Answer:
B). Named Entity Recognition
Microsoft References
Named Entity Recognition in Azure AI Language
Entity Linking vs Named Entity Recognition
NEW QUESTION # 404
You have an Azure subscription.
You need to build an app that will compare documents for semantic similarity. The solution must meet the following requirements:
* Return numeric vectors that represent the tokens of each document.
* Minimize development effort.
Which Azure OpenAI model should you use?
Answer: D
Explanation:
Analysis:
GPT-3.5 (A): A generative model; not specialized for embeddings # #
Embeddings (B): Purpose-built models (like text-embedding-ada-002) return numeric vector representations of text, ideal for similarity comparisons # # DALL-E (C): Used for image generation, not semantic similarity # # GPT-4 (D): Powerful LLM, but not efficient for embeddings tasks # #
The answer:
B). embeddings
Reference:
Azure OpenAI embeddings
NEW QUESTION # 405
......
SureTorrent is one of the leading best platforms that have been offering valid, verified, and updated Microsoft Exam Questions for many years. Over this long time period, countless AI-102 exam candidates have passed their AI-102 Exam. They all got help from real and valid SureTorrent Designing and Implementing a Microsoft Azure AI Solution (AI-102) practice questions and prepared well for the final Microsoft exam.
Valid AI-102 Test Forum: https://www.suretorrent.com/AI-102-exam-guide-torrent.html
P.S. Free & New AI-102 dumps are available on Google Drive shared by SureTorrent: https://drive.google.com/open?id=10emuG00T-jRN08WOdwCedWT_mS92wrhD