Applications Architect Interview Questions

208 applications architect interview questions shared by candidates

When “Big Data” emerged as a problem, Apache Hadoop evolved as a solution to it. Apache Hadoop is a framework which provides us various services or tools to store and process Big Data. It helps in analyzing Big Data and making business decisions out of it, which can’t be done efficiently and effectively using traditional systems. Tip: Now, while explaining Hadoop, you should also explain the main components of Hadoop, i.e.: Storage unit– HDFS (NameNode, DataNode) Processing framework– YARN (ResourceManager, NodeManager) 3. What are HDFS and YARN? HDFS (Hadoop Distributed File System) is the storage unit of Hadoop. It is responsible for storing different kinds of data as blocks in a distributed environment. It follows master and slave topology. Tip: It is recommended to explain the HDFS components too i.e. NameNode: NameNode is the master node in the distributed environment and it maintains the metadata information for the blocks of data stored in HDFS like block location, replication factors etc. DataNode: DataNodes are the slave nodes, which are responsible for storing data in the HDFS. NameNode manages all the DataNodes.
avatar

Applications Architect

Interviewed at Marlabs

3.5
Apr 17, 2017

When “Big Data” emerged as a problem, Apache Hadoop evolved as a solution to it. Apache Hadoop is a framework which provides us various services or tools to store and process Big Data. It helps in analyzing Big Data and making business decisions out of it, which can’t be done efficiently and effectively using traditional systems. Tip: Now, while explaining Hadoop, you should also explain the main components of Hadoop, i.e.: Storage unit– HDFS (NameNode, DataNode) Processing framework– YARN (ResourceManager, NodeManager) 3. What are HDFS and YARN? HDFS (Hadoop Distributed File System) is the storage unit of Hadoop. It is responsible for storing different kinds of data as blocks in a distributed environment. It follows master and slave topology. Tip: It is recommended to explain the HDFS components too i.e. NameNode: NameNode is the master node in the distributed environment and it maintains the metadata information for the blocks of data stored in HDFS like block location, replication factors etc. DataNode: DataNodes are the slave nodes, which are responsible for storing data in the HDFS. NameNode manages all the DataNodes.

Viewing 181 - 190 interview questions

Glassdoor has 208 interview questions and reports from Applications architect interviews. Prepare for your interview. Get hired. Love your job.