Describe Uses and Application of IoT Tools DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   Which of the following is a common method for ingesting IoT data into a data pipeline?

   • AUsing a batch job to create sensor data
   • BUsing a message broker with AMQP
   • CUsing a SQL query to extract data from a sensor
   • DUsing a data warehouse to generate data
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A food processing company uses temperature sensors in cold storage units. The sensors send data over a local network to an on-premises server. The company needs to ensure that temperature readings are not lost if the network connection to the central server fails temporarily. The data is used for compliance reporting and real-time alerts. Which ingestion approach is most appropriate?

   • AUse raw TCP sockets and rely on the operating system to buffer data
   • BUse MQTT with QoS level 1 and a local broker that buffers messages when the central server is unreachable
   • CUse HTTP POST requests with retries from each sensor
   • DUse AMQP with a broker that discards messages if the queue is full
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A smart-city project collects data from traffic cameras, air-quality sensors, and parking sensors. The cameras generate high-resolution video, the air-quality sensors emit small text readings every second, and the parking sensors send only when a spot changes state. The data engineering team must design an ingestion and storage strategy that handles the different data rates and formats efficiently. Which approach is most appropriate?

   • AIngest sensor readings via MQTT into a time-series database, and store video files in a data lake with metadata in a catalog
   • BUse AMQP for video and MQTT for sensors, storing everything in a single relational database
   • CSend all data over HTTP to a data warehouse for immediate analysis
   • DUse a single ingestion pipeline with MQTT for all devices and store everything in a time-series database
   Reveal Solution Discussion Select an answer first
5. 4application · medium

   A wind farm collects turbine sensor data (wind speed, temperature, vibration) every 100 ms. The data engineering team needs to store this data for real-time monitoring and also for historical analysis to predict maintenance needs. The data will be queried primarily by time range and turbine ID. Which storage solution is most appropriate?

   • AA relational database with indexes on timestamp and turbine ID
   • BA time-series database for both real-time and historical data
   • CA data lake for both real-time and historical data
   • DA data warehouse for both real-time and historical data
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   Which type of service is commonly used to integrate IoT data with data platforms for real-time processing?

   • AStreaming services
   • BData backup services
   • CData visualization services
   • DBatch processing services
   Reveal Solution Discussion Select an answer first