Q1easyWhich of the following is NOT one of the traditional "Vs" of Big Data?AVisibilityBVolumeCVelocityDVarietyCheck AnswerReveal Answer & ExplanationDiscuss on Board
Q2mediumWhy is HDFS (Hadoop Distributed File System) designed to split files into large chunks (e.g., 128MB) and replicate them across multiple nodes?ATo make the files appear smaller.BTo ensure fault tolerance; if one server fails, the data can be recovered from a replica on another server.CTo make the hard drives last longer.DTo allow data to be edited by multiple users simultaneously.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q3easyWhat is the main benefit of Vertical Scaling (as opposed to Big Data's horizontal scaling)?AIt provides more redundancy.BIt is cheaper for massive data.CIt is simpler to manage because you don't have to deal with distributed system complexity (e.g., CAP theorem).DIt is infinite.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q4mediumAn application needs to analyze clickstream logs for 1 billion users. The schema is constantly changing. Which database category should be used?AFlat Files (Text)BSpreadsheetsCSQL (Relational)DNoSQL (Distributed/Big Data)Check AnswerReveal Answer & ExplanationDiscuss on Board
Q5mediumIn a word-count MapReduce task, what would the Map function output for the phrase "Hello Big Data Hello World"?AA list of key-value pairs showing each word and a count of 1.B["Hello", "Big", "Data", "Hello", "World"]CThe sum of all letters.D{"Hello": 2, "Big": 1, "Data": 1, "World": 1}Check AnswerReveal Answer & ExplanationDiscuss on Board
Q6easyHow does Apache Spark improve upon the classic Hadoop MapReduce framework?AIt doesn't support Java.BIt can only handle small datasets.CIt uses more disk storage.DIt performs computations in-memory using Resilient Distributed Datasets (RDDs), avoiding slow disk writes.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q7easyWhat is Stream Processing?ADownloading a file completely before opening it.BA nightly database cleanup task.CProcessing data continuously in real-time as it arrives (e.g., sensor data).DCompressing videos to save space.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q8easyWhat is a Data Lake?AA tool for editing SQL queries.BA small, filtered subset of data.CA centralized repository that allows you to store all your structured and unstructured data at any scale.DA storage bucket for images only.Check AnswerReveal Answer & ExplanationDiscuss on Board
Q9easyIn the MapReduce model, what is the primary role of the Reducer?ATo split the input data into smaller chunks.BTo handle network communication between nodes.CTo aggregate (e.g., sum, count) the values associated with a single key.DTo encrypt the final output.Check AnswerReveal Answer & ExplanationDiscuss on Board