A. Option A
B. Option D
C. Option B
D. Option C
Answer: C
Explanation:
Group of customers: Account code: Group Specific item: Item code: Table
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NEW QUESTION: 1
Which three statements about OSPFv2 or OSPFv3 authentication are true? (Choose three.)
A. OSPF authentication on Cisco IOS and IOS XE platforms can be configured per area or per interface.
B. On Cisco IOS and IOS XE and IOS XR platforms, the authentication key can only be configured per interface.
C. OSPFv3 uses IPsec for authentication and encryption.
D. On Cisco IOS XR platforms, the OSPF authentication that is configured for the area overrides the authentication that is configured for the interface.
E. On Cisco IOS and IOS XE platforms, the two OSPFv2 authentication methods that are supported are MD5 and SHA1.
F. On Cisco IOS XR platforms, OSPFv3 authentication can be configured at the OSPF routing process, area, or interface level.
Answer: A,C,F
Explanation:
Section: (none)
NEW QUESTION: 2
A. Option A
B. Option D
C. Option B
D. Option C
Answer: C
Explanation:
Group of customers: Account code: Group Specific item: Item code: Table
NEW QUESTION: 3
In a default configuration, when the system observes a neighboring access point (AP) on both the wireless network and the wired network, how will the AP be identified?
A. as a suspect
B. as a rogue
C. as a neighbor
D. as a member
Answer: B
NEW QUESTION: 4
What additional capability does Ganglia provide to monitor a Hadoop?
A. Ability to monitor number of files in HDFS.
B. Ability to monitor processor utilization.
C. Ability to monitor free task slots.
D. Ability to monitor the amount of free space on HDFS.
E. Ability to monitor NameNode memory usage.
Answer: E
Explanation:
Ganglia itself collects metrics, such as CPU and memory usage; by using
GangliaContext, you can inject Hadoop metrics into Ganglia.
Note:
Ganglia is an open-source, scalable and distributed monitoring system for large clusters. Itcollects
aggregates and provides time-series views of tens of machine-related metrics such as CPU,
memory, storage, network usage.
Ganglia is also a popular solution for monitoring Hadoop and HBase clusters, since Hadoop (and
HBase) has built-in support for publishing its metrics to Ganglia. With Ganglia you may easily see
the number of bytes written by a particular HDSF datanode over time, the block cache hit ratio for
a given HBase region server, the total number of requests to the HBase cluster, time spent in
garbage collection and many, many others.
Hadoop and HBase use GangliaContext class to send the metrics collected by each daemon
(such as datanode, tasktracker, jobtracker, HMaster etc) to gmonds.