Complete the code to show the cloud feature that helps IoT devices connect easily.
iot_connection = cloud_platform.[1]()The device_manager feature in cloud platforms helps connect and manage IoT devices efficiently.
Complete the code to show how cloud platforms handle data from many IoT devices.
data_stream = cloud_platform.[1](source=iot_devices)data_ingestion is the process where cloud platforms collect and handle data from many IoT devices.
Fix the error in the code to enable cloud scaling for IoT data processing.
cloud_platform.scale_[1](resources='auto')
The processing component must be scaled automatically to handle growing IoT data loads efficiently.
Fill both blanks to create a dictionary comprehension that filters IoT devices with active status and high data rate.
active_devices = {device: data for device, data in devices.items() if data['status'] == [1] and data['rate'] [2] 100}The code filters devices where status is 'active' and rate is greater than 100.
Fill all three blanks to build a dictionary comprehension that maps device IDs to their data size if the device is online and data size is above 500.
filtered_data = [1]: info[[2]] for [3], info in device_data.items() if info['status'] == 'online' and info['size'] > 500}
The comprehension maps device_id to the size from each device info where status is 'online' and size is above 500.