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The Microsoft AI-102 Exam is divided into several sections, with each section covering a specific aspect of designing and implementing Azure AI solutions. Candidates must demonstrate their ability to work with Azure's various AI services, such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service. They must also be able to integrate these services with other Azure services, such as Azure Data Factory and Azure HDInsight.
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Microsoft AI-102 Certification Exam is a valuable credential for individuals seeking to demonstrate their proficiency in designing and implementing AI solutions on the Microsoft Azure platform. With a strong understanding of AI and machine learning concepts, as well as practical experience working on real-world projects, candidates can prepare for and pass the exam with confidence.
NEW QUESTION # 147
You are building a solution in Azure that will use Azure AI Language service to process sensitive customer data.
You need to ensure that only specific Azure processes can access the Language service. The solution must minimize administrative effort.
What should you include in the solution?
Answer: D
Explanation:
https://learn.microsoft.com/en-us/azure/ai-services/cognitive-services-virtual- networks?tabs=portal
NEW QUESTION # 148
Drag and Drop Question
You have an Azure subscription that contains an Azure AI Search resource named AS1.
You implement a custom skill in AS1 that performs language and sentiment analysis of documents.
You are evaluating the use of AS1 as part of an enrichment pipeline.
In which order will AS1 index the documents? To answer, move all indexing stages from the list of stages to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Document cracking - The document cracking stage extracts text and content from unstructured files like PDFs, Word documents, etc.
Skillset execution - This stage applies the custom skills you defined, such as language and sentiment analysis.
Field mappings - The fields extracted from the document and enrichment are mapped to specific fields in the index schema.
Output field mappings - The output of the skillset execution and field mappings is further processed to ensure it matches the index schema.
Push to index - Finally, the enriched data is pushed to the search index for retrieval.
NEW QUESTION # 149
You build a bot by using the Microsoft Bot Framework SDK.
You need to test the bot interactively on a local machine.
Which three 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.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
Explanation:
NEW QUESTION # 150
You build a custom Form Recognizer model.
You receive sample files to use for training the model as shown in the following table.
Which three files can you use to train the model? Each correct answer presents a complete solution. (Choose three.) NOTE: Each correct selection is worth one point.
Answer: B,C,F
Explanation:
This question is about selecting valid training files for a custom Form Recognizer model in Azure AI Document Intelligence (formerly Form Recognizer).
According to Microsoft documentation, Form Recognizer supports the following for training and analysis:
* PDF (# 500 pages, # 50 MB for training)
* JPEG/JPG (# 50 MB)
* PNG (# 50 MB)
* TIFF (# 50 MB)
Unsupported:
* MP4 # Video not supported.
* GIF # Not supported.
* Images (JPG, PNG, TIFF): # 50 MB
* PDFs: # 50 MB
* Note: 500 pages limit applies to PDFs.
* File1 - PDF - 20 MB
* Type supported.
* Size within limit (< 50 MB).
* Valid #
* File2 - MP4 - 100 MB
* MP4 is not supported.
* Invalid #
* File3 - JPG - 20 MB
* Type supported.
* Size within limit (< 50 MB).
* Valid #
* File4 - PDF - 100 MB
* Type supported.
* Size exceeds the 50 MB maximum limit.
* Invalid #
* File5 - GIF - 1 MB
* GIF format not supported.
* Invalid #
* File6 - JPG - 40 MB
* Type supported.
* Size within limit (< 50 MB).
* Valid #
The answer:
A). File1, C. File3, F. File6
* Azure AI Document Intelligence (Form Recognizer) - Supported file formats
* Train a custom model with Azure Form Recognizer
NEW QUESTION # 151
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
1.) upload all the images
2.) Get suggested tags
3.) Review the suggestions and confirm the tags
reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/suggested-tags
NEW QUESTION # 152
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