JSON for human-readable data in IOT Protocols - Practice Problems & Coding Challenges

Challenge - 5 Problems

💻 Command Output

intermediate

What is the output of this JSON parsing command?

Given the JSON string {"temperature": 22, "humidity": 45}, what will be the output of parsing it in a typical IoT device script?

IOT Protocols

json_string = '{"temperature": 22, "humidity": 45}'
import json
data = json.loads(json_string)
print(data['temperature'])

A 22

B "22"

C 45

D KeyError

💡 Hint

Remember that JSON numbers become numbers in Python after parsing.

The JSON string contains a number 22 for the key 'temperature'. Parsing converts it to an integer, so printing data['temperature'] outputs 22.

🧠 Conceptual

intermediate

Why is JSON preferred for human-readable data in IoT?

Which of the following reasons best explains why JSON is widely used for human-readable data exchange in IoT devices?

A JSON uses a simple text format that is easy for humans to read and write

B JSON is a binary format optimized for speed over readability

C JSON requires special software to be understood by humans

D JSON is only compatible with web browsers

💡 Hint

Think about the format's readability and simplicity.

JSON uses plain text with clear syntax, making it easy for humans to read and write, which is why it is popular in IoT data exchange.

❓ Troubleshoot

advanced

What error occurs with malformed JSON?

If an IoT device receives this JSON string: {"temp": 20, "humidity": 50 (missing closing brace), what error will the JSON parser raise?

A ValueError

B JSONDecodeError

C SyntaxError

D KeyError

💡 Hint

Consider the specific error type for JSON parsing issues.

The JSON parser raises JSONDecodeError when the JSON string is malformed, such as missing a closing brace.

🔀 Workflow

advanced

Order the steps to send JSON data from an IoT sensor

Arrange these steps in the correct order to send sensor data as JSON from an IoT device to a server:

A 1,3,2,4

B 2,1,3,4

C 1,2,3,4

D 3,1,2,4

💡 Hint

Think about the natural flow from data collection to sending and receiving.

First, the device reads sensor data, then converts it to JSON, sends it, and finally the server receives and parses it.

✅ Best Practice

expert

Which practice improves JSON readability for humans in IoT logs?

When logging JSON data from IoT devices for human review, which practice best improves readability?

A Minify JSON by removing all spaces and line breaks

B Use compact JSON with no indentation

C Convert JSON to binary format before logging

D Format JSON with indentation and line breaks

💡 Hint

Think about how indentation affects reading structured data.

Indentation and line breaks make JSON easier to read and understand for humans, especially in logs.