{"id":1202,"date":"2017-09-04T13:13:10","date_gmt":"2017-09-04T13:13:10","guid":{"rendered":"https:\/\/www.h2kinfosys.com\/blog\/?p=1202"},"modified":"2025-10-22T10:15:07","modified_gmt":"2025-10-22T14:15:07","slug":"hadoop-big-data-online-test","status":"publish","type":"post","link":"https:\/\/www.h2kinfosys.com\/blog\/hadoop-big-data-online-test\/","title":{"rendered":"Hadoop Big Data Online Test"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\">1. Which of the following is a key component of the Hadoop ecosystem?<\/h3>\n\n\n\n<p>A. HDFS<br>B. Oracle<br>C. MongoDB<br>D. PostgreSQL<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: A<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">2. What is the main purpose of Hadoop Distributed File System (HDFS)?<\/h3>\n\n\n\n<p>A. To store relational data in tables<br>B. To process real-time data streams<br>C. To store large datasets across multiple machines<br>D. To manage SQL-based queries<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: C<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">3. Which component of Hadoop is responsible for processing data?<\/h3>\n\n\n\n<p>A. HDFS<br>B. MapReduce<br>C. HBase<br>D. Yarn<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: B<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">4. What is the function of NameNode in HDFS?<\/h3>\n\n\n\n<p>A. Stores actual data blocks<br>B. Manages metadata and file system namespace<br>C. Executes Map tasks<br>D. Manages data replication<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: B<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">5. What is the role of DataNode in Hadoop?<\/h3>\n\n\n\n<p>A. Stores metadata<br>B. Stores actual data blocks<br>C. Monitors MapReduce jobs<br>D. Executes SQL queries<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: B<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">6. What is the default block size in Hadoop 3.x?<\/h3>\n\n\n\n<p>A. 64 MB<br>B. 128 MB<br>C. 256 MB<br>D. 512 MB<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: B<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">7. Which of the following is a resource management layer in Hadoop?<\/h3>\n\n\n\n<p>A. YARN<br>B. Pig<br>C. Sqoop<br>D. Oozie<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: A<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">8. Which language is primarily used for writing Hadoop MapReduce programs?<\/h3>\n\n\n\n<p>A. Python<br>B. Java<br>C. SQL<br>D. C++<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: B<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">9. What does MapReduce consist of?<\/h3>\n\n\n\n<p>A. Mapper and Combiner<br>B. Mapper and Reducer<br>C. Mapper only<br>D. Reducer only<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: B<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">10. What is a \u201ccombiner\u201d in Hadoop MapReduce?<\/h3>\n\n\n\n<p>A. A backup reducer<br>B. A pre-reducer that performs local aggregation<br>C. A secondary mapper<br>D. A task scheduler<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: B<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">11. What does YARN stand for?<\/h3>\n\n\n\n<p>A. Yet Another Recursive NameNode<br>B. Yet Another Resource Negotiator<br>C. Your Advanced Resource Network<br>D. Yearly Assigned Resource Node<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: B<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">12. Which tool is used for data ingestion from RDBMS to Hadoop?<\/h3>\n\n\n\n<p>A. Pig<br>B. Hive<br>C. Sqoop<br>D. Flume<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: C<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">13. Which Hadoop ecosystem tool is used for real-time data ingestion?<\/h3>\n\n\n\n<p>A. Hive<br>B. Oozie<br>C. Flume<br>D. Sqoop<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: C<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">14. What type of language is Pig Latin in Hadoop?<\/h3>\n\n\n\n<p>A. Declarative<br>B. Procedural<br>C. Object-oriented<br>D. Functional<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: B<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">15. What is Hive mainly used for?<\/h3>\n\n\n\n<p>A. Workflow scheduling<br>B. Streaming analytics<br>C. Data warehousing and SQL-like queries<br>D. Data ingestion<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: C<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">16. What file format is best for columnar storage in Hadoop?<\/h3>\n\n\n\n<p>A. CSV<br>B. JSON<br>C. ORC<br>D. TXT<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: C<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">17. Which command is used to copy data from local to HDFS?<\/h3>\n\n\n\n<p>A. hadoop fs -get<br>B. hadoop fs -put<br>C. hadoop fs -delete<br>D. hadoop fs -ls<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: B<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">18. What happens if a DataNode fails in Hadoop?<\/h3>\n\n\n\n<p>A. The system stops<br>B. NameNode replaces it automatically<br>C. Data is replicated from another DataNode<br>D. All data is lost<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: C<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">19. Which of the following is a scheduling component in Hadoop?<\/h3>\n\n\n\n<p>A. ResourceManager<br>B. NodeManager<br>C. DataNode<br>D. NameNode<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: A<\/strong><\/h4>\n\n\n\n<h3 class=\"wp-block-heading\">20. What is the major advantage of Hadoop?<\/h3>\n\n\n\n<p>A. High licensing cost<br>B. Centralized storage<br>C. Scalability and fault tolerance<br>D. Requires single-node architecture<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Answer: C<\/strong><\/h4>\n","protected":false},"excerpt":{"rendered":"<p>1. Which of the following is a key component of the Hadoop ecosystem? A. HDFSB. OracleC. MongoDBD. PostgreSQL Answer: A 2. What is the main purpose of Hadoop Distributed File System (HDFS)? A. To store relational data in tablesB. To process real-time data streamsC. To store large datasets across multiple machinesD. To manage SQL-based queries [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[67],"tags":[69,68,70,71,72],"class_list":["post-1202","post","type-post","status-publish","format-standard","hentry","category-hadoop-big-data-skill-test","tag-big-data","tag-hadoop","tag-hadoop-big-data-online-quiz","tag-hadoop-big-data-practice-test","tag-hadoop-big-data-quiz"],"_links":{"self":[{"href":"https:\/\/www.h2kinfosys.com\/blog\/wp-json\/wp\/v2\/posts\/1202","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.h2kinfosys.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.h2kinfosys.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.h2kinfosys.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.h2kinfosys.com\/blog\/wp-json\/wp\/v2\/comments?post=1202"}],"version-history":[{"count":3,"href":"https:\/\/www.h2kinfosys.com\/blog\/wp-json\/wp\/v2\/posts\/1202\/revisions"}],"predecessor-version":[{"id":31178,"href":"https:\/\/www.h2kinfosys.com\/blog\/wp-json\/wp\/v2\/posts\/1202\/revisions\/31178"}],"wp:attachment":[{"href":"https:\/\/www.h2kinfosys.com\/blog\/wp-json\/wp\/v2\/media?parent=1202"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.h2kinfosys.com\/blog\/wp-json\/wp\/v2\/categories?post=1202"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.h2kinfosys.com\/blog\/wp-json\/wp\/v2\/tags?post=1202"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}