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1. You have installed a cluster running HDFS and MapReduce version 2 (MRv2) on YARN. You have no afs.hosts entry()ies in your hdfs-alte.xml configuration file. You configure a new worker node by setting fs.default.name in its configuration files to point to the NameNode on your cluster, and you start the DataNode daemon on that worker node.
What do you have to do on the cluster to allow the worker node to join, and start storing HDFS blocks?

A) Restart the NameNode
B) Create a dfs.hosts file on the NameNode, add the worker node's name to it, then issue the command hadoop dfsadmin -refreshNodes on the NameNode
C) Without creating a dfs.hosts file or making any entries, run the command hadoop dfsadmin -refreshHadoop on the NameNode
D) Nothing; the worker node will automatically join the cluster when the DataNode daemon is started.

2. ---
Your cluster has the following characteristics:
A rack aware topology is configured and on
Replication is not set to 3
Cluster block size is set to 64 MB
Which describes the file read process when a client application connects into the cluster and requests a 50MB file?

A) The client queries the NameNode for the locations of the block, and reads all three copies. The first copy to complete transfer to the client is the one the client reads as part of Hadoop's speculative execution framework.
B) The client queries the NameNode which retrieves the block from the nearest DataNode to the client and then passes that block back to the client.
C) The client queries the NameNode for the locations of the block, and reads from the first location in the list it receives.
D) The client queries the NameNode for the locations of the block, and reads from a random location in the list it retrieves to eliminate network I/O leads by balancing which nodes it retrieves data from at any given time.

3. 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 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
B) Configure yarn.applicationmaster.resource.memory-mb and yarn.applicationmaster.cpuvcores so that ApplicationMaster container allocations match the capacity you require.
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) You don't need to configure or balance these properties in YARN as YARN dynamically balances resource management capabilities on your cluster

4. You are the hadoop fs -put command to add a file "sales.txt" to HDFS. This file is small enough that it fits into a single block, which is replicated to three nodes in your cluster (with a replication factor of 3). One of the nodes holding this file (a single block) fails. How will the cluster handle the replication of this file in this situation/

A) The file will be re-replicated automatically after the NameNode determines it is under replicated based on the block reports it receives from the DataNodes
B) The file will remain under-replicated until the administrator brings that nodes back online
C) The cluster will re-replicate the file the next time the system administrator reboots the NameNode daemon (as long as the file's replication doesn't fall two)
D) This file will be immediately re-replicated and all other HDFS operations on the cluster will halt until the cluster's replication values are restored

問題與答案：

問題 #1 答案： C

問題 #2 答案： B

問題 #3 答案： C

問題 #4 答案： D