CCA-500 Online Practice Questions and Answers

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 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? (Choose two)

A. When Job B gets submitted, it will get assigned tasks, while job A continues to run with fewer tasks.

B. When Job B gets submitted, Job A has to finish first, before job B can gets scheduled.

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.

Which YARN process run as "container 0" of a submitted job and is responsible for resource qrequests?

A. ApplicationManager

B. JobTracker

C. ApplicationMaster

D. JobHistoryServer

E. ResoureManager

F. NodeManager

Which process instantiates user code, and executes map and reduce tasks on a cluster running MapReduce v2 (MRv2) on YARN?

A. NodeManager

B. ApplicationMaster

C. TaskTracker

D. JobTracker

E. NameNode

F. DataNode

G. ResourceManager

Assuming a cluster running HDFS, MapReduce version 2 (MRv2) on YARN with all settings at their default, what do you need to do when adding a new slave node to cluster?

A. Nothing, other than ensuring that the DNS (or/etc/hosts files on all machines) contains any entry for the new node.

B. Restart the NameNode and ResourceManager daemons and resubmit any running jobs.

C. Add a new entry to /etc/nodes on the NameNode host.

D. Restart the NameNode of dfs.number.of.nodes in hdfs-site.xml

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

A slave node in your cluster has 4 TB hard drives installed (4 x 2TB). The DataNode is configured to store HDFS blocks on all disks. You set the value of the dfs.datanode.du.reserved parameter to 100 GB. How does this alter HDFS block storage?

A. 25GB on each hard drive may not be used to store HDFS blocks

B. 100GB on each hard drive may not be used to store HDFS blocks

C. All hard drives may be used to store HDFS blocks as long as at least 100 GB in total is available on the node

D. A maximum if 100 GB on each hard drive may be used to store HDFS blocks

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. You cannot enforce this, since client code can always override this value

B. 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

C. 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

D. 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

E. 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

Your Hadoop cluster is configuring with HDFS and MapReduce version 2 (MRv2) on YARN. Can you configure a worker node to run a NodeManager daemon but not a DataNode daemon and still have a functional cluster?

A. Yes. The daemon will receive data from the NameNode to run Map tasks

B. Yes. The daemon will get data from another (non-local) DataNode to run Map tasks

C. Yes. The daemon will receive Map tasks only

D. Yes. The daemon will receive Reducer tasks only

You have a cluster running with a FIFO scheduler enabled. You submit a large job A to the cluster, which

you expect to run for one hour. Then, you submit job B to the cluster, which you expect to run a couple of

minutes only.

You submit both jobs with the same priority.

Which two best describes how FIFO Scheduler arbitrates the cluster resources for job and its tasks?

(Choose two)

A. Because there is a more than a single job on the cluster, the FIFO Scheduler will enforce a limit on the percentage of resources allocated to a particular job at any given time

B. Tasks are scheduled on the order of their job submission

C. The order of execution of job may vary

D. Given job A and submitted in that order, all tasks from job A are guaranteed to finish before all tasks from job B

E. The FIFO Scheduler will give, on average, and equal share of the cluster resources over the job lifecycle

F. The FIFO Scheduler will pass an exception back to the client when Job B is submitted, since all slots on the cluster are use