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NEW QUESTION: 1

A. Option B
B. Option D
C. Option C
D. Option A
Answer: B,C

NEW QUESTION: 2
Which process involves subdividing project deliverables and project work into smaller, more manageable portions?
A. Estimate Activity Resources
B. Define Scope
C. Develop Schedule
D. Create VVBS
Answer: D
Explanation:
Explanation/Reference:
Explanation:
Process: 5.4 Create WBS
Definition: WBS is the process of subdividing project deliverables and project work into smaller, more manageable components.
Key Benefit: The key benefit of this process is that it provides a structured vision of what has to be delivered.
Inputs
1. Scope management plan
2. Project scope statement
3. Requirements documentation
4. Enterprise environmental factors
5. Organizational process assets
Tools & Techniques
1. Decomposition
2. Expert judgment
Outputs
1. Scope baseline
2. Project documents updates

NEW QUESTION: 3
Which MapReduce daemon instantiates user code, and executes map and reduce tasks on a cluster running MapReduce v1 (MRv1)?
A. ResourceManager
B. TaskTracker
C. DataNode
D. ApplicationMaster
E. NodeManager
F. JobTracker
G. NameNode
Answer: B
Explanation:
A TaskTracker is a slave node daemon in the cluster that accepts tasks (Map, Reduce and Shuffle operations) from a JobTracker. There is only One Task Tracker process run on any hadoop slave node. Task Tracker runs on its own JVM process. Every TaskTracker is configured with a set ofslots, these indicate the number of tasks that it can accept. The TaskTracker starts a separate JVM processes to do the actual work (called as Task Instance) this is to ensure that process failure does not take down the task tracker. The TaskTracker monitors these task instances, capturing the output and exit codes. When the Task instances finish, successfully or not, the task tracker notifies the JobTracker. The TaskTrackers also send out heartbeat messages to the JobTracker, usually every few minutes, to reassure the JobTracker thatit is still alive. Thesemessage also inform the JobTracker of the number of available slots, so the JobTracker can stay up to date with where in the cluster work can be delegated.
Note: How many Daemon processes run on a Hadoop system?
Hadoop is comprised of five separate daemons. Each of these daemon run in its own JVM. Following 3 Daemons run on Masternodes NameNode - This daemon stores and maintains the metadata for HDFS.
Secondary NameNode - Performs housekeeping functions for the NameNode.
JobTracker - Manages MapReduce jobs, distributes individual tasks to machines running the Task
Tracker.
Following 2 Daemons run on each Slave nodes
DataNode - Stores actual HDFS data blocks.
TaskTracker - Responsible for instantiating and monitoring individual Map and Reduce tasks.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, What is a
Task Tracker in Hadoop? How many instances of TaskTracker run on a Hadoop Cluster