Hive, Pig, and ETL Processing MCQ
1. What is Hive primarily used for? a) Real-time data processingb) Analyzing structured datac) Web scrapingd) Image recognition Answer: b) Analyzing structured data Explanation: Hive … Read more
MCQ
Hadoop and Related Concepts MCQ
1. What is Hadoop primarily designed for? a) Real-time data processingb) Handling structured datac) Storing and processing large volumes of datad) Running relational database queries … Read more
Big Data MCQ
1. What is Big Data characterized by? a) Small volume, structured formatb) Limited variety, low velocityc) High volume, variety, and velocityd) Low volume, unstructured format … Read more
Mobile transport layer MCQ
1. Which transport layer protocol is generally unsuitable for mobile networks due to its reliance on end-to-end acknowledgments and congestion control?a) UDPb) TCPc) ICMPd) SCTP … Read more
Wireless LAN MCQ
1. What is the transmission medium commonly used in Wireless LANs (WLANs)?a) Fiber opticsb) Coaxial cablec) Radio wavesd) Twisted pair cableAnswer: c) Radio wavesExplanation: WLANs … Read more
Study of traditional routing and transport MCQ
1. Which protocol is commonly used for routing between autonomous systems in the Internet?a) RIPb) OSPFc) BGPd) TCPAnswer: c) BGPExplanation: Border Gateway Protocol (BGP) is … Read more
Review of traditional networks MCQ
1. What type of network covers a large geographical area, typically spanning cities or even countries?a) LANb) MANc) WANd) Internet Answer: c) WANExplanation: WAN (Wide … Read more
RL Techniques MCQs
1. What is the primary objective of Deep Q-Learning? a) Minimize the Q-valuesb) Maximize the Q-valuesc) Minimize the loss functiond) Maximize the reward Answer: b) … Read more
RL & Bandit Algorithms MCQs
1. Which category of machine learning algorithms is primarily concerned with learning through trial and error, aiming to maximize cumulative reward? a) Supervised learningb) Unsupervised … Read more
Deep Learning MCQs
1. What is Greedy Layerwise Pre-training in the context of deep learning? a) A method to train neural networks by incrementally adding layers and training … Read more