[image]

 

Refer to the exhibit.?R1 knows two routes, Path A and Path B, to the Ethernet network attached to R3. R1 learned Path A to network 10.2.0.0/16 from a static route and Path B to network 10.2.0.0/16 from EIGRP. Which route will R1 install in its routing table?

 

 

  Both routes are installed and load balancing occurs across both paths.

 

  The route via Path B is installed because the EIGRP route has the best metric to network 10.2.0.0/16.

 

  The route via Path A is installed because the static route has the best metric to network 10.2.0.0/16.

 

  The route via Path B is installed because the EIGRP route has the lowest administrative distance to network 10.2.0.0/16.

 

  The route via Path A is installed because the static route has the lowest administrative distance to network 10.2.0.0/16.

 

 

  The route via Path A is installed because the static route has the lowest administrative distance to network 10.2.0.0/16.

 


 

 

  from R1 to 192.168.3.1

 

 

 

What are two functions of a router? (Choose two.)

 

  It connects multiple IP networks.

 

  It controls the flow of data via the use of Layer 2 addresses.

 

  It determines the best path to send packets.

 

  It manages the VLAN database.

 

  It increases the size of the broadcast domain

 

  It connects multiple IP networks.

 

  It determines the best path to send packets.

 

 

 Which two statements are true regarding link-state routing protocols? (Choose two.)

 

  They are aware of the complete network topology.

 

  They offer rapid convergence times in large networks.

 

  They do not include subnet masks in their routing updates.

 

  They rely on decreasing hop counts to determine the best path.

 

  They do not work well in networks that require special hierarchical designs.

 

  They pass their entire routing tables to their directly connected neighbors only.

 

  They are aware of the complete network topology.

 

  They offer rapid convergence times in large networks.

 

 

Which two statements are correct about the split horizon with poison reverse method of routing loop prevention? (Choose two.)

 

  It is enabled by default on all Cisco IOS implementations.

 

  It assigns a value that represents an infinite metric to the poisoned route.

 

  It sends back the poisoned route update to the same interface from where it was received.

 

  It instructs routers to hold all changes that might affect routes, for a specified period of time.

 

  It limits the number of hops a packet can traverse through the network before it is discarded.

 

 

  It assigns a value that represents an infinite metric to the poisoned route.

 

  It limits the number of hops a packet can traverse through the network before it is discarded.

 

Router4

[image]

All router interfaces are configured with an IP address and are operational. If no routing protocols or static routes are configured, what information will be included in the show ip route command output for router A?

 

  All of the 192.168.x.0 networks will be in the routing table.

 

  Routes to networks 192.168.1.0/24, 192.168.2.0/24, and 192.168.3.0/24 will be in the routing table.

 

  The routing table will be empty because routes and dynamic routes have not been configured.

 

  A default route is automatically installed in the routing table to allow connectivity between the networks.

 

Routes to networks 192.168.1.0/24, 192.168.2.0/24, and 192.168.3.0/24 will be in the routing table.

When a router boots, what is the default order to locate the Cisco IOS if there is no boot system command?

 

  ROM, TFTP server, flash

 

  flash, TFTP server, ROM

 

  flash, NVRAM, TFTP server

 

  NVRAM, TFTP server, flash

 

flash, TFTP server, ROM

Which router component is used to store the routing table?

 

  Flash

 

  NVRAM

 

  ROM

 

  SDRAM

 

SDRAM

 

Which three statements describe the operation of routing with EIGRP? (Choose three.)

 

  As new neighbors are discovered, entries are placed in a neighbor table.

 

  If the feasible successor has a higher advertised cost than the current successor route, then it becomes the primary route.

 

  If hello packets are not received within the hold time, DUAL must recalculate the topology.

 

  The reported distance is the distance to a destination as advertised by a neighbor.

 

  EIGRP maintains full knowledge of the network topology in the topology table and exchanges full routing information with neighboring routers in every update.

 

  EIGRP builds one routing table that contains routes for all configured routed protocols.

 

  • As new neighbors are discovered, entries are placed in a neighbor table.
  • If hello packets are not received within the hold time, DUAL must recalculate the topology.
  • The reported distance is the distance to a destination as advertised by a neighbor.

 

11. What two routing protocols use a hierarchal network topology? (Choose two.)

 

  IS-IS

 

  EIGRP

 

  OSPF

 

  RIPv1

 

  RIPv2

 

  • IS-IS
  • OSPF

 

What command would the network administrator apply to a router that is running OSPF to advertise the entire range of addresses included in 172.16.0.0/19 in area 0?

 

  R1(config-router)# network 172.16.0.0 0.0.0.255 area 0

 

  R1(config-router)# network 172.16.0.0 0.0.3.255 area 0

 

  R1(config-router)# network 172.16.0.0 0.0.15.255 area 0

 

  R1(config-router)# network 172.16.0.0 0.0.31.255 area 0

 

R1(config-router)# network 172.16.0.0 0.0.31.255 area 0

[image]

 

All routers are running RIPv1. The two networks 10.1.1.0/29 and 10.1.1.16/29 are unable to access each other. What can be the cause of this problem?

 

  Because RIPv1 is a classless protocol, it does not support this access.

 

  RIPv1 does not support discontiguous networks.

 

  RIPv1 does not support load balancing.

 

  RIPv1 does not support automatic summarization.

 

RIPv1 does not support discontiguous networks.
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
Packets routed to the R2 Fast Ethernet interface require two routing table lookups.

[image]

A network administrator has enabled RIP on routers B and C in the network diagram. Which of the following commands will prevent RIP updates from being sent to Router A?

 

  A(config)# router rip?A(config-router)# passive-interface S0/0

 

  B(config)# router rip?B(config-router)# network 192.168.25.48?B(config-router)# network 192.168.25.64

 

  A(config)# router rip?A(config-router)# no network 192.168.25.32

 

  B(config)# router rip?B(config-router)# passive-interface S0/0

 

  A(config)# no router rip

 

B(config)# router rip?B(config-router)# passive-interface S0/0

Automatic summarization is disabled.

[image]

Given the topology shown in the exhibit, what three commands are needed to configure EIGRP on the Paris router? (Choose three.)

 

  Paris(config)# router eigrp 100

 

  Paris(config)# router eigrp

 

  Paris(config-router)# network 192.168.6.0

 

  Paris(config-router)# network 192.168.7.0

 

  Paris(config-router)# network 192.168.8.0

 

  Paris(config-router)# network 192.168.9.0

 

  • Paris(config)# router eigrp 100
  • Paris(config-router)# network 192.168.7.0
  • Paris(config-router)# network 192.168.8.0

A network administrator needs to assign the very last usable IP address in the 172.24.64.0/18 network range to the router interface that serves this LAN. Which IP address should the administrator configure on the interface?

 

  172.16.128.154/18

 

  172.16.255.254/18

 

  172.24.64.254/18

 

  172.24.127.254/18

 

172.24.127.254/18

  • R 192.168.1.0/24 [120/1] via 172.16.2.1, 00:00:24, Serial0/0/1
  •   R 192.168.100.0/24 [120/1] via 172.16.1.1, 00:00:24, Serial0/0/0

[image]

  ABCD is a router that is connected to R1.

 

  ABCD is a non-CISCO device that is connected to R1.

 

  The device is connected at the Serial0/0/1 interface of R1.

 

  R1 is connected at the S0/0/1 interface of device ABCD.

 

  ABCD does not support switching capability.

 

  • ABCD is a router that is connected to R1.
  • The device is connected at the Serial0/0/1 interface of R1.

A network is configured with the IP, IPX, and AppleTalk protocols. Which routing protocol is recommended for this network?

 

  RIPv1

 

  RIPv2

 

  EIGRP

 

  OSPF

 

EIGRP

[image]

The network administrator is planning IP addressing of a new network. What part of this addressing scheme must be changed to allow communication between host A and the server?

 

  the IP address of the server

 

  the default gateway of host A

 

  the IP address of host A

 

  the default gateway of the server

 

the IP address of the server

The hello and dead intervals are different on the two routers.

The routers are configured with different versions of RIP.

 A router has EIGRP configured as the only routing protocol. In what way might EIGRP respond if there is no feasible successor route to a destination network and the successor route fails?

 

  It broadcasts hello packets to all routers in the network to re-establish neighbor adjacencies.

 

  It sends queries to adjacent neighbors until a new successor route is found.

 

  It immediately sends its entire routing table to its neighbors.

 

  It will set the metric for the failed route to infinity.

 

It sends queries to adjacent neighbors until a new successor route is found.

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