CCA-500 무료 덤프문제 온라인 액세스

You're upgrading a Hadoop cluster from HDFS and MapReduce version 1 (MRv1) to one running HDFS and MapReduce
version 2 (MRv2) on YARN. You want to set and enforce version 1 (MRv1) to one running HDFS and MapReduce
version 2 (MRv2) on YARN. You want to set and enforce a block size of 128MB for all new files written to the cluster
after upgrade. What should you do?

• A.Set dfs.block.size to 128M on all the worker nodes, on all client machines, and on the NameNode, and set the
  parameter to final
• B.Set dfs.block.size to 134217728 on all the worker nodes, on all client machines, and on the NameNode, and set the
  parameter to final
• C.Set dfs.block.size to 134217728 on all the worker nodes and client machines, and set the parameter to final. You do
  not need to set this value on the NameNode
• D.Set dfs.block.size to 128 M on all the worker nodes and client machines, and set the parameter to final. You do not
  need to set this value on the NameNode
• E.You cannot enforce this, since client code can always override this value

Which two are features of Hadoop's rack topology?

• A.Hadoop gives preference to intra-rack data transfer in order to conserve bandwidth
• B.Configuration of rack awareness is accomplished using a configuration file. You cannot use a rack topology script.
• C.HDFS is rack aware but MapReduce daemon are not
• D.Rack location is considered in the HDFS block placement policy
• E.Even for small clusters on a single rack, configuring rack awareness will improve performance

You have a cluster running with the fair Scheduler enabled.
There are currently no jobs running on the cluster, and you submit a job A, so that only job A is running on the cluster.
A while later, you submit Job B.now Job A and Job B are running on the cluster at the same time.
How will the Fair Scheduler handle these two jobs?

• A.When Job B gets submitted, Job A has to finish first, before job B can gets scheduled.
• B.When Job B gets submitted, it will get assigned tasks, while job A continues to run with fewer tasks.
• C.When Job A gets submitted, it doesn't consumes all the task slots.
• D.When Job A gets submitted, it consumes all the task slots.

Assume you have a file named foo.txt in your local directory. You issue the following three commands:
Hadoop fs -mkdir input
Hadoop fs -put foo.txt input/foo.txt
Hadoop fs -put foo.txt input
What happens when you issue the third command?

• A.You get a error message telling you that foo.txt already exists. The file is not written to HDFS
• B.The write silently fails
• C.You get a warning that foo.txt is being overwritten
• D.You get an error message telling you that input is not a directory
• E.The file is uploaded and stored as a plain file named input
• F.You get an error message telling you that foo.txt already exists, and asking you if you would like to overwrite it.
• G.The write succeeds, overwriting foo.txt in HDFS with no warning

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 consists of processor-intensive tasks
• B.When your workload consumes a large amount of input data, relative to the entire capacity if HDFS
• C.When your workload generates a large amount of intermediate data, on the order of the input
  data itself
• D.When your workload generates a large amount of output data, significantly larger than the amount of intermediate
  data