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NEW QUESTION: 1
Packets from a router with policy-based routing configured are failing to reach the next hop. Which two additions can you make to the router configuration to enable the packets to flow correctly? (Choose two.)
A. Specify the next hop as an address.
B. Specify the next hop as an interface.
C. Enable ip proxy-arp on the exiting interface.
D. Add a match-any permit statement to the route map.
Answer: A,C
Explanation:
Explanation/Reference:
Explanation:
Here is an example:
Router(config)#route-map Engineers permit 20
Router(config-route-map)#match ip address 2
Router(config-route-map)#set interface Ethernet1
Here, instead of specifying a next-hop, it specifies that any packets matching this rule will be forwarded directly out the interface Ethernet1. This means that either the destination device must be on this segment, or there must be a router configured with Proxy ARP that can forward the packet to the ultimate destination.

NEW QUESTION: 2
Which statement best describes the data path of intermediate key-value pairs (i.e., output of the mappers)?
A. Intermediate key-value pairs are written to HDFS. Reducers copy the intermediate data to the local disks of the machines running the reduce tasks.
B. Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and are then copied to HDFS. Reducers read the intermediate data from HDFS.
C. Intermediate key-value pairs are written to HDFS. Reducers read the intermediate data from HDFS.
D. Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and then copied to the machine running the reduce tasks.
Answer: D
Explanation:
The mapper output (intermediate data) is stored on the Local file system (NOT HDFS) of each individual mapper nodes. This is typically a temporary directory location which can be setup in config by the hadoop administrator. The intermediate data is cleaned up after the Hadoop Job completes.
Note: *Reducers start copying intermediate key-value pairs from the mappers as soon as they are available. The progress calculation also takes in account the processing of data transfer which is done by reduce process, therefore the reduce progress starts showing up as soon as any intermediate key-value pair for a mapper is available to be transferred to reducer. Though the reducer progress is updated still the programmer defined reduce method is called only after all the mappers have finished.
*Reducer is input the grouped output of a Mapper. In the phase the framework, for each Reducer, fetches the relevant partition of the output of all the Mappers, via HTTP.
*Mapper maps input key/value pairs to a set of intermediate key/value pairs.
Maps are the individual tasks that transform input records into intermediate records. The transformed intermediate records do not need to be of the same type as the input records. A given input pair may map to zero or many output pairs.
*All intermediate values associated with a given output key are subsequently grouped by the framework, and passed to the Reducer(s) to determine the final output.
Reference:Questions & Answers for Hadoop MapReduce developers,Where is the Mapper Output (intermediate kay-value data) stored ?

NEW QUESTION: 3
次のコマンドのうち、パラメータとしてバイナリデータを受け入れるものはどれですか？
A. --aws-customer-key
B. --describe-instances-user
C. --ciphertext-key
D. --user-data
Answer: D
Explanation:
パラメーターとしてバイナリデータを使用するコマンドの場合、fileb：//プレフィックスを使用して、データがバイナリコンテンツであることを指定します。
バイナリデータを受け入れるコマンドは次のとおりです。
aws ec2 run-instances --user-dataパラメーター。
aws s3api put-object --sse-customer-keyパラメーター。
aws kms decrypt --ciphertext-blobパラメーター。
http://docs.aws.amazon.com/cli/latest/userguide/aws-cli.pdf

NEW QUESTION: 4
What will SmartEvent automatically define as events?
A. HTTPS
B. Firewall
C. VPN
D. IPS
Answer: D