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| Section | Objectives |
|---|---|
| Topic 1: Plan and Manage an Azure AI Solution | - Plan solution requirements and architecture - Manage security, compliance, and responsible AI - Select appropriate Azure AI services |
| Topic 2: Implement Natural Language Processing Solutions | - Analyze text using Azure AI Language - Implement question answering and conversational AI - Translate and interpret language using Azure AI services |
| Topic 3: Implement Generative AI Solutions | - Integrate prompt engineering techniques - Implement Azure OpenAI Service solutions - Build retrieval-augmented generation (RAG) solutions |
| 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: Implement Computer Vision Solutions | - Extract information using OCR and form recognition - Implement custom vision models - Analyze images and videos using Azure AI Vision |
The Microsoft AI-102 certification is a valuable credential that plays a significant role in advancing the Microsoft professional's career in the tech industry. With the Designing and Implementing a Microsoft Azure AI Solution (AI-102) certification exam you can demonstrate your skills and knowledge level and get solid proof of your expertise. You can use this proof to advance your career. The Microsoft AI-102 Certification Exam enables you to increase job opportunities, promotes professional development, and higher salary potential, and helps you to gain a competitive edge in your job search.
NEW QUESTION # 90
You have a product support manual.
You need to build a product support chatbot based on the manual. The solution must minimize development effort and costs.
What should you use?
Answer: C
Explanation:
Azure OpenAI On Your Data makes it easier for developers to connect, ingest and ground their enterprise data to create personalized copilots (preview) rapidly. It enhances user comprehension, expedites task completion, improves operational efficiency, and aids decision- making.
Azure OpenAI On Your Data enables you to run advanced AI models such as GPT-35-Turbo and GPT-4 on your own enterprise data without needing to train or fine-tune models. You can chat on top of and analyze your data with greater accuracy. You can specify sources to support the responses based on the latest information available in your designated data sources.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/use-your-data
NEW QUESTION # 91
You train a Custom Vision model used in a mobile app.
You receive 1,000 new images that do not have any associated data.
You need to use the images to retrain the model. The solution must minimize how long it takes to retrain the model.
Which three actions should you perform in the Custom Vision portal? 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:
You have 1,000 untagged images and want to retrain the Custom Vision model as quickly as possible. The key is to avoid manually tagging every image, since that is time-consuming.
Step 1: Upload all the images
* First, bulk upload all the untagged images into the Custom Vision project.
* At this stage, they will have no labels.
Step 2: Get suggested tags
* The Custom Vision portal offers an auto-suggest feature that uses the current trained model to predict tags for new, untagged images.
* This dramatically reduces manual tagging effort.
Step 3: Review the suggestions and confirm the tags
* Auto-suggestions are not always 100% accurate, so you must confirm or correct them.
* Once confirmed, the dataset is labeled properly and ready for retraining.
Why not the other options?
* Upload the images by category / group into category folders: This is only helpful if the images already have known categories, but here they arrive untagged.
* Tag the images manually: This would take much longer and contradicts the requirement to minimize time.
* Upload all the images.
* Get suggested tags.
* Review the suggestions and confirm the tags.
* Custom Vision - Tag images
* Custom Vision - Suggested tags with predictions
NEW QUESTION # 92
You are building an Azure web app named App1 that will translate text from English to Spanish.
You need to use the Text Translation REST API to perform the translation. The solution must ensure that you have data sovereignty in the United States.
How should you complete the URI? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
1. api-nam.cognitive.microsofttranslator.com
2. translate
https://learn.microsoft.com/en-us/azure/cognitive-services/Translator/reference/v3-0-reference#base-urls Requests to Translator are, in most cases, handled by the datacenter that is closest to where the request originated. If there ' s a datacenter failure when using the global endpoint, the request may be routed outside of the geography.
To force the request to be handled within a specific geography, use the desired geographical endpoint. All requests are processed among the datacenters within the geography.
- United States
api-nam.cognitive.microsofttranslator.com
https://learn.microsoft.com/en-us/azure/cognitive-services/translator/reference/rest-api-guide
- translate
Translate specified source language text into the target language text.
NEW QUESTION # 93
You are building a bot and that will use Language Understanding.
You have a LUDown file that contains the following content.
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:
Reference:
https://github.com/solliancenet/tech-immersion-data-ai/blob/master/ai-exp1/README.md
NEW QUESTION # 94
You build a language model by using Conversational Language Understanding. The language model is used to search for information on a contact list by using an intent named Findcontact. A conversational expert provides you with the following list of phrases to use for training
* Find contacts in London.
* Who do I know in Seattle?
* Search for contacts m Ukraine.
You need to implement the phrase list in Conversational Language Understanding.
Solution: You create a new utterance for each phrase in the FindContact intent.
Answer: A
NEW QUESTION # 95
......
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