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NEW QUESTION: 1
Refer to the exhibit.

Which option describes the effect of this configuration?
A. It implements Cisco United CME redundancy.
B. It creates dial peers.
C. It implements HSRP.
D. It configures a standby Cisco Unified E.
E. It implements Cisco IOS redundancy.
F. It configures failover.
Answer: A

NEW QUESTION: 2
ASAがデータパスとインラインである場合、アプリケーションが動作していないことが報告されています。
ASAがこの問題を担当しているかどうかを確認または拒否するには、どのコマンドを使用できますか？
A. テスト
B. キャプチャ
C. perfmon
D. パケットトレーサー
E. 確認
Answer: D
Explanation:
In addition to capturing packets, it is possible to trace the lifespan of a packet through the ASA to see if it is behaving as expected.
The packet-tracer command enables you to do the following:
Debug all packet drops in production network.
Verify the configuration is working as intended.
Show all rules applicable to a packet along with the CLI lines that caused the rule addition.
Show a time line of packet changes in a data-path.
Inject tracer packets into the data-path.
Search for an IPv4 or IPv6 address based on the user identity and the FQDN.
The packet-tracer command provides detailed information about the packets and how they are processed by the ASA. Packet-tracer allows a firewall administrator to inject a virtual packet into the security appliance and track the flow from ingress to egress. Along the way, the packet is evaluated against flow and route lookups, ACLs, protocol inspection, NAT, and IDS. The power of the utility comes from the ability to simulate real-world traffic by specifying source and destination addresses with protocol and port information.
http://www.cisco.com/c/en/us/td/docs/security/asa/asa-command-reference/I-R/cmdref2/p1.html

NEW QUESTION: 3
CORRECT TEXT
Problem Scenario 47 : You have been given below code snippet, with intermediate output.
val z = sc.parallelize(List(1,2,3,4,5,6), 2)
// lets first print out the contents of the RDD with partition labels
def myfunc(index: Int, iter: lterator[(lnt)]): lterator[String] = {
iter.toList.map(x => "[partID:" + index + ", val: " + x + "]").iterator
}
//In each run , output could be different, while solving problem assume belowm output only.
z.mapPartitionsWithlndex(myfunc).collect
res28: Array[String] = Array([partlD:0, val: 1], [partlD:0, val: 2], [partlD:0, val: 3], [partlD:1, val: 4], [partlD:1, val: S], [partlD:1, val: 6])
Now apply aggregate method on RDD z , with two reduce function , first will select max value in each partition and second will add all the maximum values from all partitions.
Initialize the aggregate with value 5. hence expected output will be 16.
Answer:
Explanation:
z.aggregate(5)(math.max(_, J, _ + _)

NEW QUESTION: 4
You have a customer that is building a new campus of four 3-story buildings that you have just completed the site
survey for. The customer is interested in the mount of rack space they will need to allocate in either the building MDF
or in the data center for controllers. Each building is going to require 75 APs to support voice and data. How should
the controllers be deployed to provide the least number of controllers, the highest redundancy, and the easiest
management?
A. Use the distributed deployment method in each building MDF with the N + 1 redundancy method.
B. Use the centralized deployment method in the data center with the 1 + 1 redundancy method and clientSSO.
C. Use the centralized deployment method in the data center with the N + N redundancy method.
D. Use the centralized deployment method in the data center with the N + 1 redundancy method
E. Use the distributed deployment method in each building MDF with the N + N + 1 redundancy method.
F. Use the distributed deployment method in each building MDF with the N + N redundancy method.
Answer: B