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IBM Certified Data Architect - Big Data Certification Questions and Answers (Dumps and Practice Questions)



Question :
A _____ is the basic unit of processing capacity in YARN, and is an encapsulation of resource elements (memory, cpu etc.)

 :
1. Node Manager
2. Container
3. ApplicationMaster
4. DataNode

Correct Answer : 2
A Container is the basic unit of processing capacity in YARN, and is an encapsulation of resource elements (memory, cpu etc.).





Question : Select the correct option which is/are correct
 :  Select the correct option which is/are correct
1. YARN takes into account all of the available compute resources on each machine in the cluster.
2. Based on the available resources, YARN negotiates resource requests from applications (such as MapReduce) running in the cluster.
3. YARN then provides processing capacity to each application by allocating Containers.
4. 1 and 3
5. 1,2 and 3

Correct Answer : 5 YARN takes into account all of the available compute resources on each machine in the cluster. Based on the available resources, YARN negotiates resource
requests from applications (such as MapReduce) running in the cluster. YARN then provides processing capacity to each application by allocating Containers. A Container is the basic
unit of processing capacity in YARN, and is an encapsulation of resource elements (memory, cpu etc.).





Question : As a general recommendation, allowing for ______ Containers per disk and per core gives the best balance for cluster utilization.
 :  As a general recommendation, allowing for ______ Containers per disk and per core gives the best balance for cluster utilization.
1. One
2. Two
3. Three
4. Four

Correct Answer : 2


Explanation: resources. As a general recommendation, allowing for two Containers per disk and per core gives the best balance for cluster utilization.

When determining the appropriate YARN and MapReduce memory configurations for a cluster node, start with the available hardware resources. Specifically, note the following values
on each node:

RAM (Amount of memory)

CORES (Number of CPU cores)

DISKS (Number of disks)

The total available RAM for YARN and MapReduce should take into account the Reserved Memory. Reserved Memory is the RAM needed by system processes and other Hadoop processes (such
as HBase).

Reserved Memory = Reserved for stack memory + Reserved for HBase Memory (If HBase is on the same node)

Use the following table to determine the Reserved Memory per node.



Related Questions


Question : IBM BigSheets is a revolutionary browser-based analytics tool that enables business users to extend the scope of their intelligence data through the web in a timely
manner.

 : IBM BigSheets is a revolutionary browser-based analytics tool that enables business users to extend the scope of their intelligence data through the web in a timely
1. True
2. False


Question : Big SQL supports querying data, but does not support SQL UPDATE or DELETE statements. INSERT statements
 : Big SQL supports querying data, but does not support SQL UPDATE or DELETE statements. INSERT statements
1. True
2. False


Question : Which of the following statements are correct?
 : Which of the following statements are correct?
1. BIG SQL is ANSI 2011 Compliant

2. BIG SQL is supported to work with Cloudera

3. BIG SQL supports Fluid Query

4. 2 and 3

5. 1,2 and 3


Question : To move a table from row based into a BLU columnar format you need to take it offline and do a one time convert into a BLU table.
 : To move a table from row based into a BLU columnar format you need to take it offline and do a one time convert into a BLU table.
1. True
2. False


Question : Using shadow tables, you can get the performance benefits of BLU Acceleration for analytic queries in an online transaction processing (OLTP) environment.

 : Using shadow tables, you can get the performance benefits of BLU Acceleration for analytic queries in an online transaction processing (OLTP) environment.
1. True
2. False


Question : Typically, an ApplicationMaster will need to harness the processing power of multiple servers to complete a job. In which of the following order this
can be accomplished.

1. ApplicationMaster issues resource requests to the ResourceManager
2. ResourceManager generates a lease for the resource, which is acquired by a subsequent ApplicationMaster heartbeat
3. The ResourceManager will attempt to satisfy the resource requests coming from each application according to availability and scheduling policies.
4. A token-based security mechanism guarantees its authenticity when the ApplicationMaster presents the container lease to the NodeManager

 : Typically, an ApplicationMaster will need to harness the processing power of multiple servers to complete a job. In which of the following order this
1. 1,2,3,4
2. 1,3,4,2
3. 1,3,2,4
4. 1,4,3,2