Cloudera Hadoop Administrator Certification Certification Questions and Answer (Dumps and Practice Questions)

Question : In YARN containers are also called resources, which is collection of allocated memory and cores?

1. True
2. False

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Explanation:



Question : In your cluster ResourceManager is configured with the "Fair Scheduler", and on average every hour Hadoop runs jobs in parallel.
Now currently single job is running, how much of the resource capacity of the cluster will be used by this running single job.



1. 1/100 resource of the cluster
2. 20% of the cluster capacity
3. May use full capacity of the cluster
4. It can not be found



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Under the Fair scheduler, when a single application is running, that application may request the entire cluster (if needed). If additional applications are
submitted, resources that are free are assigned "fairly" to the new applications so that each application gets roughly the same amount of resources. The
Fair scheduler also applies the notion of preemption, whereby containers can be requested back from the ApplicationMaster. Depending on the
configuration and application design, preemption and subsequent assignment can be either friendly or forceful.





Question :

The ____________ supports a number of features such as weights on queues (heavier queues get more containers),
minimum shares, maximum shares, and FIFO policy within queues, but the basic idea is to share the
resources as uniformly as possible.

1. Fair Scheduler
2. Capacity Scheduler
3. FIFO Scheduler
4. Both 1 and 2
5. Both 2 and 3

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The Fair scheduler is a third pluggable scheduler for Hadoop that provides another way to share large clusters. Fair scheduling is a method of assigning
resources to applications such that all applications get, on average, an equal share of resources over time.

In Hadoop version 1, the Fair scheduler uses the term "pool" to refer to a queue. Starting with the YARN Fair scheduler, the term "queue"
will be used instead of "pool." To provide backward compatibility with the original Fair scheduler, "queue" elements can be named as "pool"
elements.

In the Fair scheduler model, every application belongs to a queue. YARN containers are given to the queue with the least amount of allocated resources.
Within the queue, the application that has the fewest resources is assigned the container. By default, all users share a single queue, called "default." If an
application specifically lists a queue in a container resource request, the request is submitted to that queue. It is also possible to configure the Fair
scheduler to assign queues based on the user name included with the request. The Fair scheduler supports a number of features such as weights on
queues (heavier queues get more containers), minimum shares, maximum shares, and FIFO policy within queues, but the basic idea is to share the
resources as uniformly as possible.

Related Questions

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Question :

Select the feature of Mapreduce

1. Automatic parallelization and distribution
2. fault-tolerance
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4. All of the above



Question : While upgrading your cluster from MRv to MRv, you wish to have additional data nodes with the higher amount of Hard Drive and Memory.
But you are worried that, you can have new nodes with the advanced hardware or not. Select the correct statement regarding new nodes in MRv2 cluster.

1. With new slave nodes you can have any amount of hard drive space
2. With new slave nodes you must have at least 12 X2TB of hard drive space

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4. New node hardware must be equal to existing hardware.


Question : In the QuickTechie Inc Hadoop Infrastructure, you have created a rack topology and in the script to identify each machine
as being in hadooprack1, hadooprack2, or hadooprack3. Now as a developer from your desktop which is outside of your QuickTechie Hadoop cluster
but on the same network, you writes 64MB of data. Your Hadoop cluster has all the default configuration, with first replica of the block is written
to a node on hadooprack2. Now select the correct statement for other two replicas.

1. One of the replica will be written on hadooprack2, and the other on hadooprack3.

2. Either both will be written to nodes on hadooprack1, or both will be written to nodes on hadooprack3.

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4. One will be written to hadooprack1, and one will be written to hadooprack3.



Question : The NameNode uses a file in its _______ to store the EditLog.

1. Any HDFS Block
2. metastore
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4. local hdfs block



Question : Select the correct options

1. Either FsImage or the EditLog must be accurate to HDFS wrok properly
2. NameNode can be configured to support maintaining multiple copies of the FsImage and EditLog
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4. 1 and 2
5. 1,2 and 3


Question : Select the correct option

1. When a file is deleted by a user or an application, it is immediately removed from HDFS
2. When a file is deleted by a user or an application, it is not immediately removed from HDFS. Instead, HDFS first renames it to a file in the /trash directory.
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4. 1,2
5. 2,3