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Azure Cognitive Services Flashcards
Microsoft Azure AI Engineer Associate AI-102 Flashcards
| Front | Back |
| How can Face API be used within Azure Cognitive Services? | For facial recognition and analysis, such as identifying emotions, age, or gender. |
| How can Speech Recognition functionality assist developers? | By allowing apps to convert spoken audio into accurate text in real time. |
| How can you integrate Cognitive Services with Power Platform? | By using connectors for AI Builder and Power Automate to enhance workflows with AI functionalities. |
| How does Azure Cognitive Services handle language translation? | Through the Translator API, which provides automatic translation across supported languages. |
| How does Azure Cognitive Services support privacy and compliance? | By providing capabilities to handle data securely and align with regulations like GDPR. |
| How does Text Analytics work in Azure Cognitive Services? | It provides insights through sentiment analysis, key phrase extraction, language detection, and named entity recognition. |
| How does the Cognitive Search feature enhance applications? | By integrating AI to deliver advanced search capabilities including semantic analysis and context understanding. |
| How does the Face API analyze emotions? | By detecting facial expressions associated with emotions such as happiness, sadness, anger, etc. |
| How does the QnA Maker help in Azure Cognitive Services? | It creates a conversational layer by transforming documents or FAQs into question-answering bots. |
| How does the Speech Translation feature work? | By converting spoken words into translated text or synthesized speech in real time. |
| How does the Video Indexer service assist users? | By extracting metadata, annotations, and insights from video content. |
| What are some common use cases of Cognitive Services in the Vision category? | Automated image moderation, object detection, and handwriting recognition. |
| What are the key categories of Azure Cognitive Services? | Vision, Speech, Language, and Decision services. |
| What do you need to create a Cognitive Services resource in Azure? | An Azure subscription and the Cognitive Services resource type selected for configuration. |
| What does the Azure Bot Service integrate with? | It integrates with Cognitive Services to create conversational agents with natural language capabilities. |
| What does the Cognitive Services Container offer? | It allows running Cognitive Services tools on-premises or at the edge for greater control and data security. |
| What does the Decision category of Azure Cognitive Services provide? | Tools for anomaly detection, content moderation, and personalized recommendations. |
| What does the Translator service in Azure Cognitive Services do? | Enables real-time text translation in multiple languages. |
| What does the Vision category of Azure Cognitive Services offer? | APIs for image recognition, text extraction, and analytics from visual data. |
| What is a common use case for the Text-to-Speech functionality? | Synthesizing natural sounding voices for converting text to audio output in apps. |
| What is Azure Cognitive Services? | A collection of AI services providing capabilities for vision, speech, language, and decision-making. |
| What is Azure Form Recognizer's role in Cognitive Services? | Extracting structured data from forms and documents through AI models. |
| What is the Anomaly Detector in Azure Cognitive Services used for? | Identifying patterns and detecting anomalies in time series data. |
| What is the Computer Vision API used for? | Extracting and analyzing visual content such as text, objects, or descriptions from images and videos. |
| What is the Content Moderator feature in Azure Cognitive Services? | A tool for detecting potentially offensive or unwanted content in text, images, and videos. |
| What is the Conversational Language Understanding service? | It allows developers to create conversational AI models tailored for specific use cases. |
| What is the Custom Vision service in Azure Cognitive Services used for? | Training models to identify objects and classify images based on custom defined tags. |
| What is the difference between Custom Vision and Computer Vision? | Custom Vision is used to train models for specific use cases, while Computer Vision offers general-purpose APIs for vision tasks. |
| What is the Form Recognizer Layout API used for? | Extracting layout and structural elements like tables and paragraphs from documents. |
| What is the Immersive Reader in Azure Cognitive Services? | A tool that allows applications to integrate features for improving reading and comprehension. |
| What is the Language Understanding Intelligent Service (LUIS) used for? | Building applications that understand natural language input. |
| What is the main advantage of using pre-built models in Cognitive Services? | It allows faster implementation without the need to train custom AI models. |
| What is the purpose of the Custom Neural Voice in Azure Cognitive Services? | To create unique, AI-generated voices based on your brand's identity. |
| What is the purpose of the Speech service in Azure Cognitive Services? | To provide speech-to-text, text-to-speech, and translation functionalities. |
| What is the purpose of using Cognitive Services in AI-powered apps? | To integrate pre-built AI functionality into apps without requiring extensive data science expertise. |
| What is the role of Custom Voice in Azure Cognitive Services? | Creating tailored voice models to match specific accents, tones, or enterprise needs. |
| What is the Speech Synthesis Markup Language (SSML) used for? | To customize the output of text-to-speech conversion with detailed prosody and pronunciation controls. |
| What is the Time Series Insights-based functionality in Anomaly Detector? | It helps analyze data trends over time and flags unusual patterns for deeper analysis. |
| What is the use of Personalizer in Azure Cognitive Services? | Delivering personalized, contextually relevant experiences for users. |
This deck covers the implementation and configuration of Azure Cognitive Services, including APIs for vision, language, speech, and decision-making capabilities.