IoT Services Flashcards
Q: What is AWS IoT?
A: AWS IoT is a suite of managed services that enables secure, scalable, and reliable communication between IoT devices and the cloud.
Q: What is AWS IoT Core?
A: A managed service that allows IoT devices to securely connect to the cloud and interact with AWS services.
Q: Which protocols are supported by AWS IoT Core?
A: MQTT, HTTP, WebSockets, and LoRaWAN (for IoT Core for LoRaWAN).
Q: What is the Message Broker in AWS IoT Core?
A: A pub/sub system that facilitates communication between devices and the cloud using MQTT or WebSockets.
Q: What is a Device Shadow in AWS IoT?
A: A virtual representation of an IoT device’s state, allowing applications to interact with devices even when offline.
Q: What is the Rules Engine in AWS IoT Core?
A: A feature that processes incoming device messages and routes them to AWS services like S3, DynamoDB, Lambda, or Kinesis.
Q: What are “Things” in AWS IoT?
A: Virtual representations of physical IoT devices managed in AWS IoT Core.
Q: What are Thing Groups in AWS IoT?
A: Logical groupings of devices that simplify management and application of policies.
Q: What is AWS IoT Device Defender?
A: A service that continuously audits and monitors IoT device configurations and traffic to detect anomalies and ensure security.
Q: What is AWS IoT Device Management?
A: A service to onboard, organize, monitor, and remotely manage IoT devices at scale.
Q: What is Fleet Indexing in AWS IoT?
A: A feature that indexes device attributes and states to simplify fleet queries and management.
Q: What is AWS IoT Events?
A: A service for detecting and responding to events from IoT devices based on defined conditions.
Q: What is AWS IoT Analytics?
A: A managed service for collecting, storing, processing, and analyzing IoT data at scale.
Q: What is AWS IoT Greengrass?
A: A service for running local compute, messaging, data caching, and ML inference on IoT devices.
Q: What are Greengrass components?
A: Modular software pieces that perform specific functions on IoT devices, such as data collection, ML inference, or message routing.