Microsoft Azure is a strong candidate due to its scalability, extensive AI services, and multi-region support. Azure offers a wide range of AI and machine learning tools, robust cloud services, and a global presence, making it a top choice for IoT products with these requirements.

IoT Protocols (such as MQTT, CoAP, or HTTP) are the components responsible for ensuring data is transmitted securely and efficiently between IoT devices and servers. These protocols define the rules and mechanisms for IoT communication, making them an integral part of IoT architecture.

IoT devices are often vulnerable when they use default passwords that are not changed. Attackers can exploit these default passwords to gain unauthorized access.

Streaming analytics in IoT is essential for predictive maintenance. It enables real-time analysis of data from IoT devices, allowing organizations to predict when equipment will fail and proactively perform maintenance, reducing downtime and costs.

IoT security standards are primarily in place to protect against unauthorized access and data breaches. With the vast amount of data transmitted and processed by IoT devices, ensuring the security of this data is paramount to maintain trust and safety in the IoT ecosystem.

The deployment phase of an IoT project involves deploying devices in the target environment where they will collect data and perform their intended functions.

The storage requirements for IoT data are typically enormous and scalable. IoT devices generate a continuous stream of data, and this data must be stored for analysis and decision-making. As the number of IoT devices and data volume grow, the storage infrastructure must be able to expand to accommodate the increasing data demands.

Edge computing is the type of computing that processes data closer to the data source in IoT. It's designed to reduce latency and enhance real-time data processing by moving computations closer to where the data is generated.

An advantage of using Linux-based operating systems for IoT devices is enhanced security. Linux offers robust security features and is open-source, allowing for customization and community support. While Linux can be configured for real-time performance, it's not a primary strength. Extensive graphical interfaces and compatibility with proprietary software may not always be necessary for IoT devices.

WSNs typically have constrained energy sources and, as a result, need to use energy-efficient protocols and hardware to minimize energy consumption, which differs from traditional networks.