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You decide to create a cluster which runs HDFS in High Availability mode with automatic failover, using Quorum-based Storage. What is the purpose of ZooKeeper in such a configuration?

A. It manages the Edits file, which is a log changes to the HDFS filesystem.

B. It monitors an NFS mount point and reports if the mount point disappears

C. It both keeps track of which NameNode is Active at any given time, and manages the Edits file, which is a log of changes to the HDFS filesystem

D. It only keeps track of which NameNode is Active at any given time

E. Clients connect to ZoneKeeper to determine which NameNode is Active

For each YARN Job, the Hadoop framework generates task log files. Where are Hadoop's files stored?

A. In HDFS, In the directory of the user who generates the job

B. On the local disk of the slave node running the task

C. Cached In the YARN container running the task, then copied into HDFS on fob completion

D. Cached by the NodeManager managing the job containers, then written to a log directory on the NameNode

Which two are Features of Hadoop's rack topology?

A. Configuration of rack awareness is accomplished using a configuration file. You cannot use a rack topology script.

B. Even for small clusters on a single rack, configuring rack awareness will improve performance.

C. Rack location is considered in the HDFS block placement policy

D. HDFS is rack aware but MapReduce daemons are not

E. Hadoop gives preference to Intra rack data transfer in order to conserve bandwidth

Each node in your Hadoop cluster, running YARN, has 64 GB memory and 24 cores. Your yarn- site.xml

has the following configuration:

yarn.nodemanager.resource.memory-mb

32768

yarn.nodemanager.resource.cpu-vcores

23

You want YARN to launch no more than 16 containers per node. What should you do?

A. No action is needed: YARN's dynamic resource allocation automatically optimizes the node memory and cores

B. Modify yarn-site.xml with the following property: yarn.nodemanager.resource.cpu-vcores 16

C. Modify yarn-site.xml with the following property: yarn.scheduler.minimum-allocation-mb 2048

D. Modify yarn-site.xml with the following property: yarn.scheduler.minimum-allocation-mb 4096

You are migrating a cluster from MapReduce version 1 (MRv1) to MapReduce version2 (MRv2) on YARN. To 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.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 yarn.nodemanager.resource.memory-mb and yarn.nodemanager.resource.cpu- vcores to match the capacity you require under YARN for each NodeManager

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