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 more1. 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 more1. 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 more1. 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 more1. 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 more1. 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 more1. 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 more1. 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 more1. 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 more1. 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 more1. Which technique shares similarities with autoencoders in terms of dimensionality reduction? a) Dropoutb) Batch Normalizationc) PCAd) Ensemble methods Answer: c) PCA Explanation: Principal Component ...
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