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NEW QUESTION: 1
A. Option B
B. Option A
C. Option C
D. Option D
Answer: C
Explanation:
Explanation
Amazon CBS encryption offers you a simple encryption solution for your CBS volumes without the need for you to build, maintain, and secure your own key management infrastructure. When you create an encrypted CBS volume and attach it to a supported instance type, the following types of data are encrypted:
* Data at rest inside the volume
* All data moving between the volume and the instance
* All snapshots created from the volume
Snapshots that are taken from encrypted volumes are automatically encrypted. Volumes that are created from encrypted snapshots are also automatically encrypted.
For more information on CBS encryption, please visit the below URL:
* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/CBSCncryption.html
NEW QUESTION: 2
In the standard word count MapReduce algorithm, why might using a combiner reduce the overall Job running time?
A. Because combiners perform local aggregation of word counts, thereby reducing the number of mappers that need to run.
B. Because combiners perform local aggregation of word counts, and then transfer that data to reducers without writing the intermediate data to disk.
C. Because combiners perform local aggregation of word counts, thereby reducing the number of key-value pairs that need to be snuff let across the network to the reducers.
D. Because combiners perform local aggregation of word counts, thereby allowing the mappers to process input data faster.
Answer: D
Explanation:
*Simply speaking a combiner can be considered as a"mini reducer"that will be applied potentially several times still during the map phase before to send the new (hopefully reduced) set of key/value pairs to the reducer(s). This is why a combiner must implement the Reducer interface (or extend the Reducer class as of hadoop 0.20).
*Combiners are used to increase the efficiency of a MapReduce program. They are used to aggregate intermediate map output locally on individual mapper outputs. Combiners can help you reduce the amount of data that needs to be transferred across to the reducers. You can use your reducer code as a combiner if the operation performed is commutative and associative. The execution of combiner is not guaranteed, Hadoop may or may not execute a combiner. Also, if required it may execute it more then 1 times. Therefore your MapReduce jobs should not depend on the combiners execution.
Reference:24 Interview Questions & Answers for Hadoop MapReduce developers,What are combiners? When should I use a combiner in my MapReduce Job?
NEW QUESTION: 3
Jabber fail login with logs. What DNS SRV record need to resolve this issue?
A. _SIPS
B. _SIP
C. _EDGE
D. _cisco-uds
Answer: D
NEW QUESTION: 4
Which are out-of-the-box features of the SAP Commerce, B2C accelerator? (3)
A. Social network integration
B. Express checkout
C. Bundling of products and services
D. Pre-paid system
E. Buy online and pick up in store
Answer: A,B,E