AI-900T00: Introduction to AI in Azure Quiz Questions and Answers
Answer :
Implementing serverless architecture with Azure Functions
Explanation :
Azure Functions facilitate scalability by automatically adjusting to workload demands, supporting seamless expansion and efficient resource utilization for growing systems.--- This structure should help ensure the questions challenge the students and assess their understanding of the core concepts covered in the course.
Sentiment analysis helps in understanding customer emotions and sentiments, allowing support teams to respond more empathetically and effectively, leading to improved service satisfaction.--- Feel free to modify the scenario or questions to better fit your course or syllabus requirements!
In a smart home environment, predicting user preferences based on labeled historical usage data makes supervised learning the appropriate choice. This involves training models with input-output pairs to learn correlations and make predictions on new data.
The F1 score is calculated using the formula 2 * (Precision * Recall) / (Precision + Recall). It provides a balance between precision and recall, making it appropriate for assessing AI model performance in handling imbalanced data.
By providing pre-built models for sentiment analysis and language detection
Explanation :
Microsoft Azure's Language Service enhances text analysis by offering pre-built models for common tasks such as sentiment analysis and language detection, which helps businesses quickly gain insights from text data.
The Cognitive Services Translator provides automatic language translation, enabling the processing of datasets in multiple languages and ensuring consistent information extraction results across linguistic barriers.
Custom Vision Service is tailored for creating, deploying, and refining image classification models that are well-suited for specific tasks, such as identifying products in real-time inventory management settings.
The BLEU score evaluates the quality of text generated by an AI model in comparison to reference sentences, making it a suitable metric for assessing the quality of generated content like product descriptions.
Azure Cognitive Services - Text Analytics is specifically designed for analyzing text data, extracting key phrases, entities, and analyzing sentiment, making it ideal for processing customer interaction logs.
Azure Cognitive Services - Language Understanding (LUIS)
Explanation :
Azure Cognitive Services - Language Understanding (LUIS) is designed to provide language understanding capabilities essential for chatbots, allowing them to interpret and correctly respond to user inquiries.
