Cognitive Services

Cognitive Services

Microsoft Cognitive Services let you build apps with powerful algorithms using just a few lines of code. They work across devices and platforms such as iOS, Android, and Windows, keep improving, and are easy to set up.

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What’s the basic setup for real-time image recognition with Cognitive Services?
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Describe the process of integrating Azure Cognitive Services with a real-time messaging system like Azure Event Hubs or Apache Kafka.
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Discuss the approach to recover from data processing failures or interruptions in a real-time system.
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Explain how to configure a database trigger to send real-time updates to Cognitive Services.
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Discuss how you would preprocess and transform data from a database before sending it to a Cognitive Services API.
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What are the steps to ensure data consistency and integrity when integrating Cognitive Services with a database?
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What methods can be used to feed data from a database into Azure Cognitive Services for analysis?
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What are the trade-offs between using pre-built Cognitive Services models versus training custom models?
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What are the challenges and solutions for processing live audio streams with Cognitive Services?
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What are the key architectural components of Azure Cognitive Services?
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How do Cognitive Services support multi-language and localization capabilities?
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How can you design a real-time system to handle failures or downtime of Cognitive Services APIs?
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What are the best practices for encrypting data sent to and received from Cognitive Services APIs?
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What techniques can be used to optimize the performance of Cognitive Services in applications that require real-time analysis?
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Explain the role of Bing Maps API in Azure Cognitive Services.
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What considerations are necessary when designing a system that relies on multiple Cognitive Services APIs?
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How would you implement a chatbot using Azure Cognitive Services?