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NEW QUESTION: 1
In SAP HANA Series Data, which of the following methods do you use to convert finer interval readings to a coarser interval? Please choose the correct answer.
A. Vertical disaggregation
B. Horizontal disaggregation
C. Vertical aggregation
D. Horizontal aggregation
Answer: D

NEW QUESTION: 2
In a brute-force attack, what percentage of the keyspace must an attacker generally search through until he or she finds the key that decrypts the data?
A. Roughly 66 percent
B. Roughly 75 percent
C. Roughly 10 percent
D. Roughly 50 percent
Answer: D
Explanation:
In a brute force attack, an attacker tries every possible key with the decryption algorithm, knowing that eventually one of them will work. On average, a brute force attack will succeed about 50 percent of the way through the keyspace.
Reference: Implementing Cisco IOS Network Security (IINS 640-554) Foundation Learning Guide, By Catherine Paquet

NEW QUESTION: 3
Based on the configuration, which two of the following statements are true? (Choose two.)
policy-map police 1
class bulk-ftp
police cir percent 20 pir percent 40
conform-action set-dscp-transmit af11
exceed-action set-dscp-transmit 0
violate-action drop
A. This is a dual-rate, class-based policing example.
B. This configuration will drop all exceeding traffic.
C. This is a percentage-based policing example.
D. This configuration will use a single token bucket.
E. This is a multi-action, class-based policing example.
Answer: A,C
Explanation:
The presence ofboth cir (Bc) and pir (Be)in the command make it a dual-rate policer. So C is a valid answer.
The use of"percentage" makes D a valid answer.
Since all the "action" statements are on separate lines, it makes itmulti-action policing. However, there is only one actual action being performed for each one. So E could be valid, and could not be valid.The question states to choose two answers.

NEW QUESTION: 4
What additional capability does Ganglia provide to monitor a Hadoop?
A. Ability to monitor NameNode memory usage.
B. Ability to monitor free task slots.
C. Ability to monitor the amount of free space on HDFS.
D. Ability to monitor number of files in HDFS.
E. Ability to monitor processor utilization.
Answer: A
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. It
collects, 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.

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