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Let look at the features of them as follows.
NEW QUESTION: 1
You are asked to design a deployment plan for a large number of QFX Series switches using zero touch provisioning (ZTP). The ZTP deployment plan must ensure all switches are upgraded to the desired software version.
Which DHCP option are suboption combination would be used to accomplish this task?
A. DHCP options 43 with a supoption of 03
B. DHCP options 43 with a supoption of 00
C. DHCP options 66 with a supoption of 03
D. DHCP options 66 with a supoption of 00
Answer: B
Explanation:
Explanation/Reference:
Reference: https://www.juniper.net/documentation/en_US/junos/topics/task/configuration/software-image- and-configuration-automatic-provisioning-confguring.html
NEW QUESTION: 2
Which command does a network engineer use to verify the spanning-tree status for VLAN 10?
A. switch# show spanning-tree summary
B. switch# show spanning-tree vlan 10 brief
C. switch# show spanning-tree brief
D. switch# show spanning-tree bridge
E. switch# show spanning-tree vlan 10
Answer: E
NEW QUESTION: 3
Refer to the exhibit.
The New York router is configured with static routes pointing to the Atlanta and Washington sites. Which two tasks must be performed so that the Serial0/0/0 interfaces on the Atlanta and Washington routers can reach one another?
(Choose two.)
A. Configure the ipv6 route 2023::/126 2012::1 command on the Atlanta router
B. Configure the ipv6 route 2023::/126 2012::2 command on the Atlanta router
C. Configure the ipv6 route 2012::/126 s0/0/0 command on the Atlanta router
D. Configure the ipv6 route 2012::/126 2023::1 command on the Washington router
E. Configure the ipv6 route 2012::/126 2023::2 command on the Washington router
Answer: B,E
NEW QUESTION: 4
A bank has two drive-in lanes to serve customers:
The technique used in analyzing the problem is best described as:
A. Simulation theory.
B. Linear programming.
C. Integrated autoregressive-moving average (ARIMA) modeling.
D. Differential calculus.
Answer: A
Explanation:
Answer (A) is correct. Simulation is a technique for experimenting with logical/mathematical models using a computer. Despite the power of mathematics, many problems cannot be solved by known analytical methods because of the behavior of the variables and the complexity of their interactions. However, the performance of a quantitative model under uncertainty may be investigated by randomly selecting values for each of the variables in the model (based on the probability distribution of each variable) and then calculating the value of the solution. If this process is performed a large number of times, the distribution of results from the model will be obtained.