Free Microsoft AI-102 Exam Dumps Questions & Answers

You have a collection of press releases stored as PDF files.
You need to extract text from the files and perform sentiment analysis.
Which service should you use for each task? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation:

You have press releases stored as PDF files. The task involves two parts:
Extract text
The correct service for OCR and text extraction from images and PDFs is Azure Computer Vision (specifically, the OCR and Read API).
While Form Recognizer can also extract text, it is primarily used for structured documents like invoices, receipts, or forms. Since the documents here are press releases (unstructured text), the best service is Computer Vision.
Perform sentiment analysis
Sentiment analysis falls under natural language processing (NLP).
The correct service is Azure AI Language (Text Analytics API).
It provides sentiment analysis, opinion mining, key phrase extraction, entity recognition, and more.
Why not other options?
Azure Cognitive Search is used for search indexing, not OCR or sentiment.
Form Recognizer specializes in structured document extraction, not sentiment analysis.
Computer Vision cannot perform sentiment analysis (only visual/text extraction).

You have a Custom Vision service project that performs object detection. The project uses the General domain for classification and contains a trained model.
You need to export the model for use on a network that is disconnected from the internet.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list o
' actions to the answer area and arrange them in the correct order.

Correct Answer:

Explanation:
Change Domains to General (compact).
Retain the model.
Export the model.
You have a Custom Vision project that performs object detection. The project currently uses the General domain. You need to export the trained model for offline use (on a disconnected network).
Steps required:
Change Domains to General (compact).
Export is only supported with a Compact domain.
The General (compact) domain is optimized for exporting to devices (e.g., ONNX, TensorFlow, CoreML, etc.).
If you stay in "General" domain, you cannot export.
Retain the model.
After switching domains, you must retrain the model in the new compact domain to generate updated weights.
Export the model.
Once retrained in a compact domain, you can export the model for offline deployment.
Export formats include ONNX, TensorFlow, CoreML, or Docker container, depending on use case.
Why not the others?
Create a new classification model # Not needed; you already have an object detection model.
Change the classification type # Incorrect; the problem is with the domain type, not classification type.
Correct Answer Order:
Change Domains to General (compact).
Retain the model.
Export the model.
Microsoft References
Export a model from Custom Vision
Domains in Custom Vision

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 develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species.
You need to add the new images to the classifier.
Solution: You add the new images and labels to the existing model. You retrain the model, and then publish the model.
Does this meet the goal?

• A.  Yes
• B.  No

You are developing a streaming Speech to Text solution that will use the Speech SDK and MP3 encoding.
You need to develop a method to convert speech to text for streaming MP3 data.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation:

Scenario Recap
You are building a streaming Speech-to-Text solution using the Speech SDK.
Input audio format: MP3 encoding
You must configure the audio stream format and the recognizer properly.
Code Analysis
Audio Format
For MP3 streams, the correct method is:
AudioStreamFormat.GetCompressedFormat(AudioStreamContainerFormat.MP3)
This creates an audio format object for compressed MP3 input.
Recognizer
Since the task is speech-to-text transcription, you need the SpeechRecognizer class.
Other options like KeywordRecognizer, SpeakerRecognizer, or SpeechSynthesizer are not appropriate (they handle keyword spotting, speaker identification, or text-to-speech).
Completed Code Snippet
var audioFormat = AudioStreamFormat.GetCompressedFormat(AudioStreamContainerFormat.MP3); var speechConfig = SpeechConfig.FromSubscription( " 18c51a87-3a69-47a8-aedc-a54745f708a1 " , " westus
" );
var audioConfig = AudioConfig.FromStreamInput(pushStream, audioFormat); using ( var recognizer = new SpeechRecognizer(speechConfig, audioConfig))
{
var result = await recognizer.RecognizeOnceAsync();
var text = result.Text;
}
Final Answer (Answer Area Selections)
AudioFormat: AudioStreamFormat.GetCompressedFormat
Recognizer: SpeechRecognizer
Microsoft References
Speech SDK - AudioStreamFormat
SpeechRecognizer class

You are building an app that will analyze text by using the Azure Al Language service.
You need to configure the app to mask the telephone number and email details in a given document.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation:

To mask (redact) phone numbers and email addresses in text using Azure AI Language, you should call the PII entity recognition operation and then print the redacted text that the service returns. In the SDKs, this corresponds to calling RecognizePiiEntities and reading the RedactedText from the result object. The PII feature automatically detects categories such as PhoneNumber and Email and returns a redacted version of the input (masked) in the redactedText/RedactedText field. This is exactly what the code snippet's "Masked Text" output is asking for.
Therefore:
Use RecognizePiiEntities to detect and redact PII in the document.
Output RedactedText to print the masked string.
Microsoft References
How-to: Detect and redact PII in text (overview and redaction behavior). Microsoft Learn Quickstart: Detect Personally Identifiable Information (shows PII detection and redacted output). Microsoft Learn NET reference: PiiEntityCollection.RedactedText property ("Gets the text of the input document with all PII redacted"). Microsoft Learn Python client overview: recognize_pii_entities operation for PII detection. Microsoft Learn