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NEW QUESTION: 1
正誤問題：RedisのAmazon ElastiCacheレプリケーショングループでは、パフォーマンスチューニング上の理由から、プライマリグループとレプリカの1つが役割を交換して、レプリケーショングループ内のキャッシュノードの役割を変更できます。
A. 偽
B. TRUE
C. False。パフォーマンスチューニングを改善するには、レプリケーショングループを再作成する必要があります。
D. ただし、パフォーマンスは低下します。
Answer: B
Explanation:
In Amazon ElastiCache, a replication group is a collection of Redis Cache Clusters, with one primary read-write cluster and up to five secondary, read-only clusters, which are called read replicas. You can change the roles of the cache clusters within the replication group, with the primary cluster and one of the replicas exchanging roles. You might decide to do this for performance tuning reasons.
http://docs.aws.amazon.com/AmazonElastiCache/latest/UserGuide/Replication.Redis.Groups.ht ml

NEW QUESTION: 2
Which of the following is an example of a proactive wellness strategy a company can implement in the workplace?
A. On-site fitness program
B. Product/service discounts
C. Concierge service
D. Career counseling
Answer: A

NEW QUESTION: 3
Identify the criteria that usually differentiate between document change rules. Choose the correct answers. (2)
A. Account type
B. Company code
C. Asset class
D. Open items
Answer: A,B

NEW QUESTION: 4
You are developing a MapReduce job for sales reporting. The mapper will process input keys representing the year (IntWritable) and input values representing product indentifies (Text).
Indentify what determines the data types used by the Mapper for a given job.
A. The mapper-specification.xml file submitted with the job determine the mapper's input key and value types.
B. The InputFormat used by the job determines the mapper's input key and value types.
C. The data types specified in HADOOP_MAP_DATATYPES environment variable
D. The key and value types specified in the JobConf.setMapInputKeyClass and JobConf.setMapInputValuesClass methods
Answer: B
Explanation:
The input types fed to the mapper are controlled by the InputFormat used. The
default input format, "TextInputFormat," will load data in as (LongWritable, Text) pairs. The long
value is the byte offset of the line in the file. The Text object holds the string contents of the line of
the file.
Note: The data types emitted by the reducer are identified by setOutputKeyClass()
andsetOutputValueClass(). The data types emitted by the reducer are identified by
setOutputKeyClass() and setOutputValueClass().
By default, it is assumed that these are the output types of the mapper as well. If this is not the
case, the methods setMapOutputKeyClass() and setMapOutputValueClass() methods of the
JobConf class will override these.
Reference: Yahoo! Hadoop Tutorial, THE DRIVER METHOD