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NEW QUESTION: 1
As shown in the network below, the host has an ARP cache. which is correct? (Muitiple choice)

A. Host A has the following entries in the ARP cache. 10.0.12.2 MAC-C
B. Host A has the following entries in the ARP cache. 11.0.12.1 MAC-B
C. Host A and Host B can communicate in both directions
D. The router needs to be configured with static routes, otherwise Host A and Host B cannot communicate in both directions.
Answer: A,C

NEW QUESTION: 2



A. Option B
B. Option C
C. Option A
D. Option D
E. Option E
Answer: E

NEW QUESTION: 3
You have deployed a Juniper EX Series switch in the network. The switch receives a broadcast frame on an interface.
Which statement describes the behavior of the switch?
A. The frame is flooded out all ports that are part of the same VLAN as the receiving port, except for the port on which the frame was received.
B. The frame is flooded out all ports in all VLANs configured on the switch.
C. The frame is flooded out all ports that are part of the same VLAN as the receiving port, including the port on which the frame was received.
D. The frame is re-transmitted as a multicast frame on all ports on the switch.
Answer: A

NEW QUESTION: 4
Which statement creates a low overhead, low-contention random number generator that is isolated to thread to generate a random number between 1 and 100?
A. int i = (int) Math.random()*100+1;
B. int i = ThreadSafeRandom.current().nextInt(1, 101);
C. int i = (int) Math.random(1, 101);
D. int i = new random().nextInt(100)+1;
E. int i = ThreadLocalRandom.current().nextInt(1, 101);
Answer: E
Explanation:
public class ThreadLocalRandom extends Random' A random number generator isolated to the current thread. Like the global Random generator used by the Math class, a ThreadLocalRandom is initialized with an internally generated seedthat may not otherwise be modified. When applicable, use of ThreadLocalRandom rather than shared Random objects in concurrent programs will typically encounter much less overhead and contention. Use of ThreadLocalRandom is particularly appropriate when multiple tasks (for example, each a ForkJoinTask) use random numbers in parallel in thread pools. Usages of this class should typically be of the form: ThreadLocalRandom.current().nextX(...) (where X is Int, Long, etc). When all usages are of this form, it is never possible to accidently share a ThreadLocalRandom across multiple threads.
This class also provides additional commonly used bounded random generation methods.
Reference:Class ThreadLocalRandom