WorksheetsIoT and Big Data Quiz
Total questions: 30
Worksheet time: 15mins
Logical design of IoT mainly focuses on
Hardware components
Node deployment
Functional blocks, APIs, and data flow
Battery backup of IoT devices
IoT enabling technology is:
5G communication
SDN
Machine Learning
None
What does IoT deployment template represent?
Cost estimation
A general framework for deploying an IoT system
Device manufacturing steps
Security framework
Which of the following best describes M2M?
Human-to-machine communication
Machine-to-machine communication
Mobile-to-mobile networks
None of the above
NETCONF-YANG is used for:
Power management
IoT systems management
Data encryption
Real-time analytics
Which protocol is used for network device management?
MQTT
HTTP
SNMP
CoAP
SDN separates:
Hardware and software
Control plane and data plane
Client and server
OS and application
IoT platform design methodology begins with:
Deployment template
Requirement definition
Device testing
Cloud selection
Which of the following is part of Python logical design for IoT?
Installing sensors
Python data types and data structures
Network operator requirements
SDN components
Which Python feature helps organize reusable code?
Variables
Looping
Modules and packages
Data types
Which GPIO pins on Raspberry Pi are used for input/output?
HDMI pins
Ethernet pins
General-purpose pins
None
Which OS is most commonly installed on Raspberry Pi?
Ubuntu Server
Raspbian (Raspberry Pi OS)
Windows IoT Core
Android
Raspberry Pi interfaces include:
UART, SPI, I2C
HDMI only
USB only
None
Which of the following is NOT an IoT application area?
Smart homes
Agriculture
Retail automation
Desktop gaming
Which Hadoop component is used to run large dataset computations?
MapReduce
Pig
YARN
HDFS
Apache Spark is mainly used for:
Real-time and batch data analytics
Hardware interfacing
Sensor calibration
Power optimization
Which tool is used to manage workflows in Hadoop?
Oozie
Storm
Spark
Flink
Apache Storm is mainly used for:
Batch processing
Real-time streaming
Data storage
File handling
In Hadoop, HDFS mainly provides:
Data processing
Distributed storage
Encryption services
Backup scheduling
Which of the following is a feature of MapReduce?
Real-time event handling
Parallel batch processing
Direct hardware control
Sensor data acquisition
Which IoT requirement makes big-data platforms like Hadoop necessary?
Low power operation
Large volume and velocity of sensor data
Simple network topology
Manual data entry
Spark performs operations using:
RDDs (Resilient Distributed Datasets)
Pipelines
USB data blocks
Virtual sockets
Which of the following supports real-time IoT data streaming?
Apache Spark Streaming
MS Excel
Google Docs
OpenCV
Which scheduler is responsible for managing Hadoop cluster resources?
Oozie Scheduler
YARN Resource Manager
Hive Query Optimizer
Storm Supervisor
Which component breaks down MapReduce tasks into small jobs?
Mapper only
Reducer only
Job Tracker / YARN Application Master
Namenode
Which Apache tool is used mainly for workflow automation in big-data pipelines?
Spark SQL
Oozie
Pig
Storm
Storm processes data in:
Batches
Micro-batches
Continuous streams
Frames
IoT data analytics primarily helps in:
Improving battery life
Making data-driven decisions
Changing network protocols
Replacing physical sensors
Which is a correct order of Hadoop data flow?
NameNode → DataNode → Spark
DataNode → NameNode → Client
Client → NameNode → DataNode
Spark → HDFS → YARN
Spark is faster than Hadoop MapReduce because:
It uses real-time sensors
It processes data in memory
It works only with IoT devices
It uses multiple threads only
