1. What is Apache Sqoop primarily used for? a) Data visualization b) Real-time data processing c) Transferring data between Hadoop and relational databases d) Cluster management Click to View Answer and Explanation Answer: c) Transferring data between Hadoop and relational databases Explanation: Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache […]
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1. What is Apache Lucene primarily used for? a) Data storage b) Log file analysis c) Real-time analytics d) Full-text search Click to View Answer and Explanation Answer: d) Full-text search Explanation: Apache Lucene is a high-performance, full-text search library used for incorporating search functionality into applications. 2. Lucene creates an index of documents using
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1. What is the primary purpose of Apache Flume? a) Data transformation b) Real-time analytics c) Log file analysis d) Data ingestion into Hadoop Click to View Answer and Explanation Answer: d) Data ingestion into Hadoop Explanation: Apache Flume is primarily used for efficiently collecting, aggregating, and moving large amounts of log data into the
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1. What is Apache ZooKeeper primarily used for in Hadoop? a) Data storage b) Real-time analytics c) Coordinating and managing distributed systems d) Data encryption Click to View Answer and Explanation Answer: c) Coordinating and managing distributed systems Explanation: Apache ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing
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1. What is HBase primarily used for in the Hadoop ecosystem? a) Real-time processing b) Batch processing c) Data warehousing d) Random, real-time read/write access to big data Click to View Answer and Explanation Answer: d) Random, real-time read/write access to big data Explanation: HBase is a distributed, scalable, big data store that supports random,
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1. What is Apache Hive primarily used for? a) Real-time processing b) Data storage c) Data warehousing d) Network configuration Click to View Answer and Explanation Answer: c) Data warehousing Explanation: Apache Hive is a data warehousing solution built on top of Hadoop, used for querying and managing large datasets residing in distributed storage. 2.
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1. What is Apache Pig primarily used for in Hadoop? a) Real-time processing b) Data storage c) Data analysis d) Network configuration Click to View Answer and Explanation Answer: c) Data analysis Explanation: Apache Pig is a platform used for analyzing large data sets. It provides an abstract way to program MapReduce tasks with its
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1. What is Big Data primarily characterized by? a) The speed of internet connection b) The size and complexity of datasets c) The type of data analytics software used d) The efficiency of data processing Click to View Answer and Explanation Answer: b) The size and complexity of datasets Explanation: Big Data is primarily characterized
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1. What does Hadoop primarily process? a) Real-time data b) Small data sets c) Structured data only d) Large data sets Click to View Answer and Explanation Answer: d) Large data sets Explanation: Hadoop is designed for processing large data sets, handling petabytes and exabytes of data efficiently across distributed clusters. 2. Which component serves
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1. What does YARN stand for in Hadoop? a) Yet Another Resource Negotiator b) Young Abstract Resource Node c) Yielding Application Resource Network d) Yearly Advanced Resource Notation Click to View Answer and Explanation Answer: a) Yet Another Resource Negotiator Explanation: YARN stands for Yet Another Resource Negotiator. It is a key component of Hadoop
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1. What does HDFS stand for in the context of Hadoop? a) High-Density File System b) Hadoop Data File System c) Hadoop Distributed File System d) High-Durability File System Click to View Answer and Explanation Answer: c) Hadoop Distributed File System Explanation: HDFS stands for Hadoop Distributed File System. It is a distributed file system
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Preparing for the MongoDB Certified Developer Associate exam? Test your knowledge with these 25 multiple-choice practice questions, each accompanied by the correct answer and a thorough explanation, to help you get a better grasp of MongoDB development concepts. 1. Which method is used to retrieve documents from a MongoDB collection? A) find() B) get() C)
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RabbitMQ, an open-source message broker, plays a vital role in many modern application architectures by allowing different parts of a system to communicate and process operations asynchronously. As a beginner, grasping the basic concepts of RabbitMQ is crucial before diving deeper. This blog post provides a set of beginner-friendly MCQs on RabbitMQ to test and
Apache Kafka is a distributed streaming platform that allows you to build real-time data pipelines and streaming applications. It’s essential to grasp the basics if you’re looking to integrate it into your projects or understand its functionality in depth. Here, we provide a set of beginner-friendly MCQs to test your understanding and strengthen your foundation
Apache Spark, a lightning-fast, unified analytics engine, has established itself as a major player in the big data ecosystem. Known for large-scale data processing, Spark offers modules for structured data processing, machine learning, graph computation, and more. Whether you’re just beginning your Spark journey or looking to refresh the basics, this set of MCQs is
Redis, an acronym for Remote Dictionary Server, is a fast, open-source, in-memory key-value data store. Renowned for its performance and flexibility, Redis has taken its place as a go-to solution for caching, session management, real-time analytics, and more. If you’re starting out with Redis or just want to validate your foundational knowledge, this set of
Apache Cassandra is a highly scalable, distributed, and decentralized NoSQL database system. It is designed to handle vast amounts of data across multiple servers without any single point of failure. For those who are just beginning their journey into the world of NoSQL databases, we’ve curated a list of basic Cassandra multiple-choice questions to test
The Hadoop Distributed File System (HDFS) has become an essential pillar in the world of big data processing. As an integral part of the Apache Hadoop ecosystem, understanding HDFS is key to harnessing the power of distributed storage. Whether you’re a newcomer to Hadoop or looking to test your foundational knowledge, this beginner-friendly quiz on
Hadoop is an open-source framework that allows distributed storage and processing of big data. If you’re preparing for an exam, or interview, or just looking to refresh your Hadoop knowledge, you’re in the right place! Below is a compilation of 25 multiple-choice questions (MCQs) that cover the fundamental concepts of Hadoop. 1. What does HDFS