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The AI-102 certification exam covers a range of topics related to AI solution design and implementation. These include designing AI solutions, implementing AI workflows, deploying and managing AI models, and monitoring and optimizing AI solutions. AI-102 exam is intended for professionals who have expertise in machine learning, Azure AI services, and data science.
Microsoft AI-102 Exam is a certification exam that tests your knowledge and skills in designing and implementing Microsoft Azure AI solutions. AI-102 exam is designed for developers who are responsible for creating and deploying AI solutions on Azure. It is intended for those who have experience with Azure services and are familiar with machine learning concepts.
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The AI-102 Certification Exam covers a wide range of topics, including Azure Cognitive Services, Natural Language Processing (NLP), and Computer Vision. You will be tested on your ability to develop and implement AI solutions using various Azure services and tools.
NEW QUESTION # 49
You have 1,000 scanned images of hand-written survey responses. The surveys do NOT have a consistent layout.
You have an Azure subscription that contains an Azure Al Document Intelligence resource named Aldoc1.
You open Document Intelligence Studio and create a new project.
You need to extract data from the survey responses. The solution must minimize development effort.
To where should you upload the images, and which type of model should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 50
You are building a Language Understanding model for purchasing tickets.
You have the following utterance for an intent named PurchaseAndSendTickets.
Purchase [2 audit business] tickets to [Paris] [next Monday] and send tickets to [email@domain.com] You need to select the entity types. The solution must use built-in entity types to minimize training data whenever possible.
Which entity type should you use for each label? To answer, drag the appropriate entity types to the correct labels. Each entity type 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.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-geographyv2
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-email
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/reference-entity-machine-learned-entity
NEW QUESTION # 51
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 # 52
You have an Azure Al Speech service resource named Resource1.
You call Resource1 by running the following Python code.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth point.
Answer:
Explanation:
Explanation:
The code creates a SpeechConfig and an AudioOutputConfig with filename= " path/to/file.wav " , then constructs a SpeechSynthesizer and calls speak_text_async(input) .
* Existing file behavior: AudioOutputConfig with a filename directs synthesis output to that file path; the documentation emphasizes that it specifies the output file and that the parent directory must already exist. It does not require a unique filename (i.e., it does not fail purely because a file exists). In practice, the SDK writes to the specified path. Therefore, the statement claiming failure if a file already exists is No.
* Voice source: The filename in AudioOutputConfig is output, not input. To choose a voice, you set speech_config.speech_synthesis_voice_name or use SSML; the WAV file isn't "sampled" to create a voice. Hence this statement is No. Microsoft Learn
* File generation: Using AudioOutputConfig(filename=...) with SpeechSynthesizer and speak_text_async (...) writes synthesized audio to that file. Many samples show the same pattern (often with .get() to wait for completion). So the function's purpose is to generate an audio file from the input text-Yes.
Note: In production, call .get() (or await) on speak_text_async(...) so the program waits for synthesis to complete before exiting. Microsoft Learn References (Microsoft Azure AI Speech)
* How to synthesize speech from text (create AudioOutputConfig to write to a file; synthesize with speak_text_async ).
* Python AudioConfig class (audio output can be a speaker, audio file (WAV), or stream). Microsoft Learn
* .NET AudioConfig.FromWavFileOutput (specifies output file; parent directory must already exist).
Microsoft Learn
* Azure Q & A example (Python: speak_text_async(...).get() usage). Microsoft Learn
NEW QUESTION # 53
You have a local folder that contains the files shown in the following table.
You need to analyze the files by using Azure Ai Video Indexer. Which files can you upload to the Video Indexer website?
Answer: E
Explanation:
You have files with the following formats:
File1: WMV (34 mins, 400 MB)
File2: AVI (90 mins, 1,200 MB)
File3: MOV (300 mins, 980 MB)
File4: MP4 (80 mins, 1,800 MB)
You must determine which files can be uploaded to Azure AI Video Indexer.
Key Rules (Video Indexer upload limitations):
Supported formats: MP4, MOV, WMV, AVI, M2TS.
Maximum file length: 4 hours (240 minutes).
Maximum file size: 2 GB (2048 MB) for website uploads.
Check each file:
File1 (WMV, 34 min, 400 MB): Supported format, within time and size # # Allowed.
File2 (AVI, 90 min, 1,200 MB): Supported format, within time and size # # Allowed.
File3 (MOV, 300 min, 980 MB): Supported format, but exceeds 240 min limit # # Not Allowed.
File4 (MP4, 80 min, 1,800 MB): Supported format, within size (under 2 GB), within time # # Allowed.
The Answer:
A). File1, File2, and File4 only
Microsoft Reference:
Video Indexer upload limitations
NEW QUESTION # 54
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