During a write operation in HDFS, what happens after the client sends the data to the first DataNode in the pipeline?

The DataNode stores the block and immediately acknowledges the client.

The NameNode writes the data to its local disk.

The client sends the data to all DataNodes simultaneously.

The DataNode forwards the data to the next DataNode in the pipeline.

An HDFS cluster has 10 DataNodes. The NameNode reports that a block is under-replicated. What is the most likely cause and what action does HDFS take automatically?

The NameNode is overloaded; it stops accepting writes until the block is replicated.

A DataNode failed; HDFS replicates the block to another DataNode to restore the replication factor.

The block was written with a replication factor of 1; HDFS changes it to 3 automatically.

The block is being read frequently; HDFS creates additional replicas for performance.

Dell Data Engineering Optimize

Domain 3Objective 2

Describe the Hadoop Ecosystem, HDFS, and Data Ingestion Tools DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 3)

Part of the Extract-Transform-Load (ETL) Offload with Hadoop and Spark domain, which accounts for 18% of the DATA-ENGINEERING-OPTIMIZE exam.

20questions here

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Questions 11–15

11application · easy
A data engineering team wants to schedule a complex workflow that involves multiple MapReduce and Spark jobs, with dependencies between them. Which Hadoop ecosystem component is designed for this?
Select an answer first
12foundation · easy
Which processing model is characteristic of Hadoop MapReduce?
Select an answer first
13foundation · easy
During a write operation in HDFS, what happens after the client sends the data to the first DataNode in the pipeline?
Select an answer first
14application · medium
An HDFS cluster has 10 DataNodes. The NameNode reports that a block is under-replicated. What is the most likely cause and what action does HDFS take automatically?
Select an answer first
15foundation · easy
A web application generates log files that need to be continuously streamed into HDFS. Which tool is most appropriate for this task?
Select an answer first

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Describe the Hadoop Ecosystem, HDFS, and Data Ingestion Tools DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 3)

Questions 11–15

A data engineering team wants to schedule a complex workflow that involves multiple MapReduce and Spark jobs, with dependencies between them. Which Hadoop ecosystem component is designed for this?

Which processing model is characteristic of Hadoop MapReduce?

During a write operation in HDFS, what happens after the client sends the data to the first DataNode in the pipeline?

An HDFS cluster has 10 DataNodes. The NameNode reports that a block is under-replicated. What is the most likely cause and what action does HDFS take automatically?

A web application generates log files that need to be continuously streamed into HDFS. Which tool is most appropriate for this task?

Keep studying — Extract-Transform-Load (ETL) Offload with Hadoop and Spark