Q61
Q61 Which sensor type is commonly used to measure temperature in IoT devices?
Infrared sensor
Ultrasonic sensor
Thermocouple
Photocell
Q62
Q62 What is the primary function of actuators in IoT systems?
To collect environmental data
To convert electrical signals into physical movement
To store data
To process data
Q63
Q63 Which device is used to detect the presence or absence of an object?
Temperature sensor
Pressure sensor
Proximity sensor
Humidity sensor
Q64
Q64 An actuator that converts electrical energy into rotational motion is known as:
A linear actuator
A servo motor
A piezoelectric actuator
A hydraulic actuator
Q65
Q65 What type of sensor is typically used for measuring humidity?
Barometric pressure sensor
Hygrometer
Gyroscope
Accelerometer
Q66
Q66 How do piezoelectric sensors generate an electrical signal?
By detecting changes in temperature
By detecting changes in light intensity
By undergoing physical deformation
By detecting sound waves
Q67
Q67 In IoT, what is the role of a capacitive touch sensor?
To measure the electrical resistance of touch
To measure the change in capacitance when touched
To generate heat upon touch
To emit light when touched
Q68
Q68 Which type of actuator is best suited for applications requiring precise control over fluid flow?
Electric motor
Solenoid valve
Gearbox
Stepper motor
Q69
Q69 In programming an IoT device, which function would you use to read data from an analog sensor connected to an analog pin?
digitalWrite()
analogWrite()
digitalRead()
analogRead()
Q70
Q70 When controlling a servo motor with an IoT device, which of the following is essential for specifying the motor's position?
The frequency of the PWM signal
The amplitude of the PWM signal
The duration of the PWM signal
The resistance across the motor
Q71
Q71 What is a common use of the digitalWrite() function in IoT device programming?
To send data over WiFi
To read sensor data
To control an LED or other digital output
To update device firmware
Q72
Q72 Which programming structure is often used to continuously monitor sensor values and react when certain thresholds are met in IoT applications?
If-else statements
For loops
While loops
Switch-case statements
Q73
Q73 How is feedback from a sensor typically processed in IoT applications to adjust the behavior of an actuator?
By using machine learning algorithms
By hardcoding specific responses
By adjusting the sensor
By calibrating the actuator
Q74
Q74 If a sensor connected to an IoT device is not returning accurate readings, what should be checked first?
The power supply to the sensor
The sensor's calibration
The connection between the sensor and the device
The device's firmware
Q75
Q75 An actuator connected to an IoT system is not responding to commands.
What is a common troubleshooting step?
Replacing the actuator immediately
Checking the electrical connections to the actuator
Updating the IoT system's software
Changing the WiFi password
Q76
Q76 During the development of an IoT project, a servo motor behaves erratically.
What could be a possible cause?
Incorrect voltage supply to the motor
The motor being overloaded
A mismatch between the command signal and motor specifications
Incorrect programming logic
Q77
Q77 What is the primary purpose of data analytics in IoT?
To increase data storage costs
To reduce the efficiency of IoT devices
To derive meaningful insights from collected data
To complicate system architectures
Q78
Q78 In the context of IoT, what does 'Big Data' refer to?
The large volume, variety, and velocity of data generated by IoT devices
The cost of data storage
The size of IoT devices
The bandwidth required for IoT data transmission
Q79
Q79 Which technology is primarily used for real-time data processing in IoT?
Cloud computing
Edge computing
Data warehousing
Blockchain
Q80
Q80 What is a common method for reducing the dimensionality of IoT data before analysis?
Aggregation
Normalization
Principal Component Analysis (PCA)
Encryption
Q81
Q81 How does machine learning contribute to IoT data analytics?
By manually programming specific algorithms for each data type
By automating the extraction of insights from data
By reducing the amount of data collected
By increasing data storage requirements
Q82
Q82 In IoT analytics, what is the significance of anomaly detection?
To identify devices that are not part of the IoT network
To detect unusual patterns that may indicate a problem
To decrease data analysis speed
To increase the number of sensors in a network
Q83
Q83 Which type of database is most suitable for handling the diverse and rapidly changing data in IoT applications?
Relational Database Management System (RDBMS)
NoSQL database
Spreadsheet
File-based system
Q84
Q84 What role does data visualization play in IoT data analytics?
To increase the complexity of data
To make data analysis more time-consuming
To simplify the interpretation of analytical results
To reduce the accuracy of data
Q85
Q85 Which function would you use in a data analytics library like pandas to read data from a CSV file into a DataFrame for IoT data analysis?
read_csv()
read_excel()
read_html()
read_json()
Q86
Q86 In IoT data analytics, how is a moving average used when processing time-series data?
To predict future data points
To smooth out short-term fluctuations and highlight longer-term trends
To increase the speed of data analysis
To decrease the storage size of data
Q87
Q87 What is the purpose of using clustering algorithms in IoT data analytics?
To classify data into a predetermined number of categories
To group similar data points together without predefined categories
To reduce the amount of data collected
To encrypt sensitive data
Q88
Q88 How can outlier detection be implemented in an IoT analytics pipeline?
By setting a fixed threshold for all data points
By using statistical methods to identify data points that deviate from the norm
By ignoring data points outside of the expected range
By manually inspecting each data point
Q89
Q89 What technique is commonly used for forecasting future trends in IoT data analytics?
Linear regression
Decision trees
Time-series analysis
Random forests
Q90
Q90 If an analytics model is underperforming on IoT data, what is a common first step to improve its accuracy?
Increase the model's complexity
Reduce the amount of input data
Check for and clean any incorrect or missing data
Change the model's algorithm
