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NEW QUESTION: 1
A client is purchasing a PureFlex system. They require that their production data keeps running and they do not want the system to slow down if they have disk failures. The PureFlex will be virtualizing the client's storage behind a Flex System V7000 Storage Node; there are no secondary sites. What should the technical expert recommend?
A. Use Snapshots so that the data can be restored in the event of a failure
B. Use volume mirroring between the Flex System V7000 and the external storage for the critical volumes
C. Have the client purchase a Storwize V7000 to put at a new secondary location so that the data can be replicated
D. Create a pool of SSD drives so that there won't be any disk failures
Answer: B

NEW QUESTION: 2
CORRECT TEXT
Problem Scenario 50 : You have been given below code snippet (calculating an average score}, with intermediate output.
type ScoreCollector = (Int, Double)
type PersonScores = (String, (Int, Double))
val initialScores = Array(("Fred", 88.0), ("Fred", 95.0), ("Fred", 91.0), ("Wilma", 93.0),
("Wilma", 95.0), ("Wilma", 98.0))
val wilmaAndFredScores = sc.parallelize(initialScores).cache()
val scores = wilmaAndFredScores.combineByKey(createScoreCombiner, scoreCombiner, scoreMerger) val averagingFunction = (personScore: PersonScores) => { val (name, (numberScores, totalScore)) = personScore (name, totalScore / numberScores)
}
val averageScores = scores.collectAsMap(}.map(averagingFunction)
Expected output: averageScores: scala.collection.Map[String,Double] = Map(Fred ->
91.33333333333333, Wilma -> 95.33333333333333)
Define all three required function , which are input for combineByKey method, e.g.
(createScoreCombiner, scoreCombiner, scoreMerger). And help us producing required results.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
val createScoreCombiner = (score: Double) => (1, score)
val scoreCombiner = (collector: ScoreCollector, score: Double) => {
val (numberScores. totalScore) = collector (numberScores + 1, totalScore + score)
}
val scoreMerger= (collector-!: ScoreCollector, collector2: ScoreCollector) => { val
(numScoresl. totalScorel) = collector! val (numScores2, tota!Score2) = collector
(numScoresl + numScores2, totalScorel + totalScore2)
}

NEW QUESTION: 3
次のうち、電子取引の否認防止ポリシー要件への準拠を可能にするのはどれですか？
A. デジタル署名
B. 暗号化されたパスワード
C. ワンタイムパスワード
D. デジタル証明書
Answer: A

NEW QUESTION: 4
HPE OneViewのRESTful APIの利点は何ですか？ （2つ選択してください。）
A. RESTは、HPE OneViewおよびiLOに組み込まれたHPEの発明であり、Red Fish規格によるデバイスの管理を可能にします
B. RESTは、ほぼすべてのタイプのリソースを作成および変更できるヘビー級のツールキットです
C. RESTにより、開発者とユーザーは独自のアプリを作成したり、他のアプリケーションとの統合を提供したりできます
D. RESTは、お気に入りのスクリプト言語またはプログラミング言語を使用して、UIから実行できるすべてのものを自動化できます
Answer: C,D