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Assuming you're not running HDFS Federation, what is the maximum number of NameNode daemons you should run on your cluster in order to avoid a "split-brain" scenario with your NameNode when running HDFS High Availability (HA) using Quorum-based storage?

A. Two active NameNodes and two Standby NameNodes

B. One active NameNode and one Standby NameNode

C. Two active NameNodes and on Standby NameNode

D. Unlimited. HDFS High Availability (HA) is designed to overcome limitations on the number of NameNodes you can deploy

You are working on a project where you need to chain together MapReduce, Pig jobs. You also need the ability to use forks, decision points, and path joins. Which ecosystem project should you use to perform these actions?

A. Oozie

B. ZooKeeper

C. HBase

D. Sqoop

E. HUE

You are planning a Hadoop cluster and considering implementing 10 Gigabit Ethernet as the network fabric. Which workloads benefit the most from faster network fabric?

A. When your workload generates a large amount of output data, significantly larger than the amount of intermediate data

B. When your workload consumes a large amount of input data, relative to the entire capacity if HDFS

C. When your workload consists of processor-intensive tasks

D. When your workload generates a large amount of intermediate data, on the order of the input data itself

You are migrating a cluster from MApReduce version 1 (MRv1) to MapReduce version 2 (MRv2) on YARN. You want to maintain your MRv1 TaskTracker slot capacities when you migrate. What should you do/

A. Configure yarn.applicationmaster.resource.memory-mb and yarn.applicationmaster.resource.cpu-vcores so that ApplicationMaster container allocations match the capacity you require.

B. You don't need to configure or balance these properties in YARN as YARN dynamically balances resource management capabilities on your cluster

C. Configure mapred.tasktracker.map.tasks.maximum and mapred.tasktracker.reduce.tasks.maximum ub yarn-site.xml to match your cluster's capacity set by the yarn-scheduler.minimum-allocation

D. Configure yarn.nodemanager.resource.memory-mb and yarn.nodemanager.resource.cpu- vcores to match the capacity you require under YARN for each NodeManager

Your company stores user profile records in an OLTP databases. You want to join these records with web server logs you have already ingested into the Hadoop file system. What is the best way to obtain and ingest these user records?

A. Ingest with Hadoop streaming

B. Ingest using Hive's IQAD DATA command

C. Ingest with sqoop import

D. Ingest with Pig's LOAD command

E. Ingest using the HDFS put command