最新的Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) - AI-102 Korean免費考試真題

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Explanation:

Comprehensive Detailed Explanation
The requirement:
You have an Azure AI Document Intelligence resource (formerly Form Recognizer).
You want the app to detect handwritten content inside PDF files.
Step 1 - Choosing the correct model
prebuilt-document: Extracts structure and text from documents, but not optimized specifically for handwriting.
prebuilt-contract: Designed for contracts, not general handwriting.
prebuilt-read: Extracts text (printed and handwritten) from documents. Supports handwritten content recognition.
Therefore, to analyze handwritten content, the correct choice is prebuilt-read.
Step 2 - Confidence threshold
The style.Confidence value indicates the confidence that the text is handwritten.
A typical threshold used is 0.75 (75%).
This ensures that only results with reasonably high confidence are considered handwritten.
Values like 0.1 would be too low (allowing false positives), while 1.0 might miss valid handwriting because it requires absolute certainty.

Explanation:
Data Analyst.
When dealing with data roles in an organization, responsibilities are divided among data analysts, data engineers, and data scientists. Let's review them:
Data Analyst
Focuses on understanding business requirements and ensuring that the right rules and logic are applied to data so it becomes meaningful for decision-making.
They work closely with stakeholders to define business rules such as data validation rules, aggregation logic, and reporting metrics.
This makes them responsible for identifying which business rules must be applied to data.
Data Engineer
Responsible for designing, building, and maintaining the infrastructure and pipelines that move and process data.
They ensure data availability, reliability, and scalability, but do not usually define business rules.
Data Scientist
Focuses on advanced analytics, predictive modeling, and machine learning.
They use data prepared by engineers and analysts but are not typically the ones who define the business rules that govern how raw data should be interpreted.
Therefore, the correct answer is Data Analyst.
The answer: A data analyst
Microsoft References
Data roles and responsibilities in Azure
What is a Data Analyst?
Responsibilities of Data Engineers vs Data Scientists vs Data Analysts

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Explanation:

Comprehensive Explanation
Speech-to-text converts the caller's spoken French/German audio into text.
The text must then be translated to English.
Finally, Text-to-speech converts the translated text into spoken English for playback.
Therefore, the combination of Translator + Text-to-speech is required for the replay step.
Microsoft References
Speech-to-text in Azure AI Speech
Azure AI Translator
Text-to-speech in Azure AI Speech
Final Answer:
To capture messages # Speech-to-text
To replay messages # Text-to-speech and Translator

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Explanation:

Scenario Recap:
You have an Azure OpenAI resource with multiple deployed models.
You are using the Chat playground to build a chatbot.
Requirements:
Generate text in concise, formal business language.
Reduce cost of running the model.
Maintain the size of the chatbot history window (i.e., context length).
Step 1: Ensuring concise, formal business language
In the Chat playground setup panel, you can configure System message instructions.
Example:
You are an AI assistant that responds in concise formal business language.
This controls tone, style, and response behavior.
So one setting is: System message / Instructions.
Step 2: Reducing cost while maintaining chat history window
Costs in Azure OpenAI are tied to:
The model used (larger models = more expensive).
The context window size (token usage).
Since we must maintain the size of the chat history window, we cannot shrink context length.
Therefore, to reduce cost: select a smaller/cheaper deployed model (e.g., GPT-3.5 instead of GPT-4).
So the second setting is: Deployment (model selection).
# Final Answer:
Configure Deployment # choose a smaller/cheaper model.
Configure System message instructions # specify "concise formal business language." Microsoft References:
Azure OpenAI Chat playground
Best practices for reducing token cost

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