Hadoop Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

Apache Hadoop (394)
MapReduce (354)
Apache Hive (345)
Apache Pig (225)

Apache Ambari (93)
Apache HCatalog (34)
Apache HDFS Hadoop Distributed File System (214)
Apache Kafka (189)

Hadoop Interview Questions

Questions Answers Views Company eMail

What does heartbeat in hdfs means?

What does hdfs mean?

Would you be able to change the block size of hdfs files?

Characterize data integrity? How does hdfs ensure information integrity of data blocks squares kept in hdfs?

Does hdfs enable a customer to peruse a record, which is already opened for writing?

What is the throughput?

How does hdfs give great throughput?

Will various customers write into an hdfs record simultaneously?

Clarify the difference between nas and hdfs.

What do you mean by meta information in hdfs?

Can we change the document present in hdfs?

What does rack awareness algorithm means and why is it utilized as a part of hadoop?

477

What does rack awareness algorithm means?

528

What does the high availability of a name-node means? How is it accomplished?

446

What does name-node mean in hadoop?

507

Un-Answered Questions { Hadoop }

Can you define udf?

475

Mention what are the main configuration parameters that user need to specify to run mapreduce job?

777

Is hive similar to sql?

772

What is the difference between spark and scala?

366

What is spark dynamic allocation?

330

What are the roles of the file system in any framework?

323

In how many ways RDDs can be created? Explain.

313

Explain the terms Spark Partitions and Partitioners?

312

What are the types of hive ddl commands?

801

How can you send some messages in kafka?

538

Kafka has written in which languages?

578

What happens if one hadoop client renames a file or a directory containing this file while another client is still writing into it?

480

What is combiner aggregator?

638

What is inputsplit in hadoop? Explain.

831

What is a topic in kafka?

522

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