IoT analytics and dashboards in IOT Protocols - Practice Problems & Coding Challenges

Challenge - 5 Problems

💻 Command Output

intermediate

Output of MQTT message subscription command

You run the command to subscribe to an MQTT topic and receive messages. What is the output after publishing a message with payload 'temperature:25' to topic 'home/livingroom/temp'?

IOT Protocols

mosquitto_sub -h broker.example.com -t home/livingroom/temp

A temperature:25

B home/livingroom/temp temperature:25

C temperature=25

D Error: Topic not found

💡 Hint

The subscription command outputs the message payload directly.

The mosquitto_sub command outputs the payload of the message received on the subscribed topic. It does not prepend the topic name or use '=' sign.

🧠 Conceptual

intermediate

Understanding data flow in IoT analytics dashboards

Which component is responsible for transforming raw IoT sensor data into visual charts on a dashboard?

A Data visualization engine

B Data ingestion service

C Device firmware

D Network protocol handler

💡 Hint

Think about which part creates graphs and charts from data.

The data visualization engine takes processed data and renders it into charts and graphs for dashboards.

❓ Troubleshoot

advanced

Troubleshooting missing data in IoT dashboard

Your IoT dashboard shows no data updates even though devices send data correctly. Which is the most likely cause?

A Devices are offline

B Network protocol mismatch causing device data loss

C Dashboard query filters exclude recent data

D Data ingestion service crashed

💡 Hint

Check if the dashboard filters might hide data.

If devices send data but dashboard shows none, filters or query settings on the dashboard might exclude recent data.

🔀 Workflow

advanced

Correct order of steps to set up an IoT analytics dashboard

Arrange the steps in the correct order to set up an IoT analytics dashboard:

A 2,3,1,4

B 2,1,3,4

C 1,3,2,4

D 1,2,3,4

💡 Hint

Think about the natural flow from device to visualization.

Devices send data first, then ingestion pipeline collects it, data is processed and stored, finally dashboard visualizes it.

✅ Best Practice

expert

Best practice for securing IoT analytics dashboards

Which practice best protects sensitive IoT analytics dashboards from unauthorized access?

A Store dashboard credentials in plain text files

B Use strong authentication and role-based access control

C Allow open access for easy monitoring

D Disable encryption to improve performance

💡 Hint

Think about how to control who can see the dashboard.

Strong authentication and role-based access control ensure only authorized users can access sensitive dashboards.