Microsoft AI-102 Prüfungsfrage & AI-102 PDF Demo

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Microsoft AI-102 Exam Syllabus Topics:

Section	Weight	Objectives
Implement Computer Vision Solutions	15-20%	- Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence - Process video and generate insights - Analyze images using Azure AI Vision - Implement object detection and image classification
Implement Knowledge Mining and Document Intelligence Solutions	15-20%	- Design document processing pipelines - Implement semantic and vector search - Create custom skills for Azure AI Search - Implement Azure AI Search solutions
Implement Decision Support Solutions	10-15%	- Monitor and optimize decision support solutions - Design and implement decision automation - Integrate Azure AI services into applications
Implement Natural Language Processing Solutions	20-25%	- Build question answering solutions - Translate text and speech - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech - Create conversational AI solutions with Azure AI Bot Service
Plan and Manage an Azure AI Solution	15-20%	- Select appropriate Azure AI services and technologies - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions - Manage AI costs and resource allocation
Implement Generative AI Solutions	10-15%	- Apply responsible AI practices - Implement prompt engineering techniques - Use Azure OpenAI Service for generative AI - Integrate Azure OpenAI models into applications

>> Microsoft AI-102 Prüfungsfrage <<

AI-102 Prüfungsfragen Prüfungsvorbereitungen, AI-102 Fragen und Antworten, Designing and Implementing a Microsoft Azure AI Solution

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Microsoft Designing and Implementing a Microsoft Azure AI Solution AI-102 Prüfungsfragen mit Lösungen (Q157-Q162):

157. Frage
You have a Language Understanding resource named lu1.
You build and deploy an Azure bot named bot1 that uses lu1.
You need to ensure that bot1 adheres to the Microsoft responsible AI principle of inclusiveness.
How should you extend bot1?

A. Host Iu1 in a container.
B. Implement authentication for bot1.
C. Add Direct Line Speech to bot1.
D. Enable active learning for Iu1.

Antwort: C

158. Frage
You are building a solution that will detect anomalies in sensor data from the previous 24 hours.
You need to ensure that the solution scans the entire dataset, at the same time, for anomalies.
Which type of detection should you use?

A. streaming
B. batch
C. change point

Antwort: B

Begründung:
Batch anomaly detection is a type of anomaly detection that scans the entire dataset at once for outliers and unusual patterns. Batch anomaly detection is suitable for offline analysis of historical data, such as sensor data from the previous 24 hours. Batch anomaly detection can use various techniques, such as statistical methods, machine learning methods, or hybrid methods, to identify anomalies in the data123.

159. Frage
You are developing a system that will monitor temperature data from a data stream. The system must generate an alert in response to atypical values. The solution must minimize development effort.
What should you include in the solution?

A. Azure Stream Analytics
B. Multivariate Anomaly Detection
C. Univariate Anomaly Detection
D. metric alerts in Azure Monitor

Antwort: C

Begründung:
The requirement:
* You have a system monitoring temperature data from a single data stream.
* The system must generate an alert in response to atypical values.
* The solution must minimize development effort.
Analysis of Options:
* Univariate Anomaly Detection
* Designed for detecting anomalies in a single time series (e.g., temperature, pressure, humidity, sales).
* Since the system monitors temperature only, this is a classic univariate case.
* Provides simple integration with minimal effort.
* Correct choice.
* Azure Stream Analytics
* Can process real-time streaming data and detect conditions (with custom queries).
* However, it requires more development effort since you would need to manually code logic for anomaly detection.
* Not the minimal-effort option.
* Metric alerts in Azure Monitor
* Used to trigger alerts on predefined thresholds (static rules).
* Not intelligent anomaly detection-does not automatically learn patterns from data.
* Would require manual threshold setup, which is not efficient for anomaly detection.
* Multivariate Anomaly Detection
* Used when analyzing multiple related time series (e.g., temperature, pressure, vibration all together).
* Since this scenario only has one variable (temperature), multivariate is unnecessary and adds complexity.
The answer: A. Univariate Anomaly Detection
* Azure AI Anomaly Detector - Univariate
* Multivariate Anomaly Detector
* Difference between univariate and multivariate anomaly detection
Microsoft References

160. Frage
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

Explanation:

161. Frage
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?

A. Azure AI Phi-3-medium with fine-tuning
B. Azure AI Language Custom question answering
C. Azure AI Document intelligence
D. Azure OpenAI GPT-4 with grounding data that uses Azure AI Search

Antwort: D

Begründung:
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

162. Frage
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