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NEW QUESTION: 1
How do competencies populate the standard "competency" field? ( 3 corrects )
A. The user's job code determines the competencies that will populate.
B. Competencies can populate via a form.
C. Competencies that are properly permissioned will populate.
D. Competencies can appear based on a library.
Answer: A,B,D
NEW QUESTION: 2
You are planning an Exchange Server 2016 organization. The organization will contain a Mailbox server named EX01.
Users will have primary SMTP email addresses in the following domains:
Contoso.com
Fabrikam.com
Cohowinery.com
Wingtiptoys.com
You need to add a DNS record to provide Autodiscover for each domain. Which type of record should you create in each zone?
A. CERT
B. A
C. MINFO
D. PTR
Answer: A
NEW QUESTION: 3
How much bandwidth is available when one single RSP440 engine installed on an ASR9000?
A. Pending
B. 440G bps
C. Pending
D. Pending
Answer: B
NEW QUESTION: 4
MapReduce V2 (MRv2/YARN) splits which two major functions of the jobtracker into separate daemons?
A. Resource management
B. Job coordination between the resource manager and the node manager
C. Managing tasks
D. Health status check (heartbeats)
E. MapReduce metric reporting
F. Launching tasks
G. Job scheduling/monitoring
H. Managing file system metadata
Answer: A,G
Explanation:
MapReduce has undergone a complete overhaul and CDH4 now includes MapReduce 2.0 (MRv2). The fundamental idea of MRv2's YARN architecture is to split up the two primary responsibilities of the JobTracker - resource management (F) and job scheduling/monitoring (E) - into separate daemons: a global ResourceManager (RM) and per-application ApplicationMasters (AM). With MRv2, the ResourceManager (RM) and per-node NodeManagers (NM), form the data-computation framework. The ResourceManager service effectively replaces the functions of the JobTracker, and NodeManagers run on slave nodes instead of TaskTracker daemons. The per-application ApplicationMaster is, in effect, a framework specific library and is tasked with negotiating resources from the ResourceManager and working with the NodeManager(s) to execute and monitor the tasks.
Reference: Deploying MapReduce v2 (YARN) on a Cluster
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