NO.1 Which scheduler would you deploy to ensure that your cluster allows short jobs to finish within
a reasonable time without starting long-running jobs?
A. FIFO Scheduler
B. Fair Scheduler
C. Capacity Scheduler
D. Complexity Fair Scheduler (CFS)
Answer: B
Reference: http://hadoop.apache.org/docs/r1.2.1/fair_scheduler.html

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NO.2 Which YARN daemon or service monitors a Controller's per-application resource using (e.g.,
memory CPU)?
A. ApplicationMaster
B. NodeManager
C. ApplicationManagerService
D. ResourceManager
Answer: A
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Exam Sections and Blueprint

1. HDFS (17%)

• Describe the function of HDFS daemons
• Describe the normal operation of an Apache Hadoop cluster, both in data storage and in data processing
• Identify current features of computing systems that motivate a system like Apache Hadoop
• Classify major goals of HDFS Design
• Given a scenario, identify appropriate use case for HDFS Federation
• Identify components and daemon of an HDFS HA-Quorum cluster
• Analyze the role of HDFS security (Kerberos)
• Determine the best data serialization choice for a given scenario
• Describe file read and write paths
• Identify the commands to manipulate files in the Hadoop File System Shell

2. YARN (17%)

• Understand how to deploy core ecosystem components, including Spark, Impala, and Hive
• Understand how to deploy MapReduce v2 (MRv2 / YARN), including all YARN daemons
• Understand basic design strategy for YARN and Hadoop
• Determine how YARN handles resource allocations
• Identify the workflow of job running on YARN
• Determine which files you must change and how in order to migrate a cluster from MapReduce version 1 (MRv1) to MapReduce version 2 (MRv2) running on YARN

3. Hadoop Cluster Planning (16%)