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

Hadoop General Interview Questions

Questions Answers Views Company eMail

If datanodes increase, then do we need to upgrade namenode?

339

Which object can be used to get the progress of a particular job

337

Give me examples of unstructured data?

322

Explain the core methods of the reducer?

357

How to handle bad records during parsing?

324

What is the use of context object?

320

What happens if number of reducers are 0?

346

What are the primary phases of the reducer?

320

what is next step after mapper or maptask?

307

What is a rack?

305

Do we require two servers for the namenode and the datanodes?

342

We have already sql then why nosql?

306

What is difference between reducer and combiner?

344

What do you understand by standalone (or local) mode?

296

What type of data we should put in distributed cache? When to put the data in dc? How much volume we should put in?

320

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Un-Answered Questions { Hadoop General }

Mention what job does the conf class do?

314

Compare Apache Hadoop and Apache Spark?

302

Explain what is hadoop?

325

Comparison between Secondary NameNode and Checkpoint Node in Hadoop?

353

Can you give a detailed overview about the Big Data being generated by Facebook?

330

Explain how can we check whether namenode is working or not?

391

Why is checkpointing important in hadoop?

319

Explain what is a task tracker in hadoop?

289

What is partitioning?

328

What are the four modules that make up the Apache Hadoop framework?

434

Define a udf?

310

What does the high availability of a name-node means?

301

How to specify more than one path for storage in Hadoop?

338

Can you explain indexing?

305

Clarify what jobtracker is in hadoop? What are the activities followed by hadoop?

327

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