Prepare for your Big Data and Hadoop interviews with our comprehensive collection of MCQ questions and answers, available both online and in PDF format. Whether you're a beginner or an experienced professional, our curated list covers a wide range of topics related to Big Data and Hadoop technology. From basic concepts to advanced techniques, our MCQs are designed to test your understanding and proficiency in leveraging Hadoop for handling massive datasets. With detailed explanations accompanying each question, you'll not only be able to assess your knowledge but also enhance your understanding of Big Data and Hadoop ecosystem. Boost your confidence and excel in your interviews by mastering Big Data and Hadoop with our online and PDF MCQ resources today!
1. Hadoop is a framework that works with a variety of related tools. Common cohorts include
2. Hadoop was named after?
3. All of the following accurately describe Hadoop, EXCEPT:
4. __________ can best be described as a programming model used to develop Hadoop-based applications that can process massive amounts of data
5. Facebook Tackles Big Data With _______ based on Hadoop
6. A platform for constructing data flows for extract, transform, and load (ETL) processing and analysis of large datasets is
7. Hive also support custom extensions written in :
8. _________ hides the limitations of Java behind a powerful and concise Clojure API for Cascading.
9. ________ is the most popular high-level Java API in Hadoop Ecosystem
10. The Pig Latin scripting language is not only a higher-level data flow language but also has operators similar to :
11. _______ jobs are optimized for scalability but not latency.
12. The information mapping data blocks with their corresponding files is stored in
13. The fully distributed mode of installation(without virtualization) needs a minimum of
14. In HDFS the files cannot be
15. When a jobTracker schedules a task is first looks for
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