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NEW QUESTION: 1
What is the MAIN reason for testing a Disaster Recovery Plan (DRP)?
A. To validate backup sites' effectiveness
B. To create a high level DRP awareness among Information Technology (IT) staff
C. To find out what does not work and fix it
D. To ensure Information Technology (IT) staff knows and performs roles assigned to each of them
Answer: C

NEW QUESTION: 2
회사는 트랜잭션이 많은 데이터베이스를 AWS로 마이그레이션하려고 합니다. 요구 사항에 따르면 데이터베이스에 6TB가 넘는 데이터가 있으며 기하 급수적으로 증가 할 것입니다.
솔루션 아키텍트는 어떤 솔루션을 추천해야 합니까?
A. 아마존 오로라
B. Amazon DynamoDB
C. 아마존 레드 시프트
D. Amazon RDS MySQL
Answer: A

NEW QUESTION: 3
HOTSPOT
You are supporting an application that uses the ADO.NET Entity Framework to query and access dat a.
The latest version of a tool will add new templates and wizards that will enhance developer productivity.
You need to update the tool.
Which Visual Studio 2012 menu item should you choose? (To answer, select the appropriate menu item in the answer area.)

Answer:
Explanation:

NEW QUESTION: 4
You want to count the number of occurrences for each unique word in the supplied input data. You've decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then have your reducer increment a counter for each literal 1 it
receives. After successful implementing this, it occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your existing Reduces as your combiner in this case and why or why not?
A. No, because the Combiner is incompatible with a mapper which doesn't use the same data type for both the key and value.
B. Yes, because the sum operation is both associative and commutative and the input and output types to the reduce method match.
C. Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as a combiner.
D. No, because the sum operation in the reducer is incompatible with the operation of a Combiner.
E. No, because the Reducer and Combiner are separate interfaces.
Answer: B
Explanation:
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?

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