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NEW QUESTION: 1
HadoopジョブをオンプレミスクラスターからdataprocおよびGCSに移行しました。 Sparkジョブは、多くのシャッフィング操作で構成される複雑な分析ワークロードであり、初期データは寄木細工のファイルです（平均して
それぞれ200〜400 MBのサイズ）。 Dataprocへの移行後にパフォーマンスがいくらか低下するので、それを最適化する必要があります。組織は非常にコストに敏感であることに留意する必要があるため、このワークロードのプリエンプティブ（2つのプリエンプティブでないワーカーのみ）でDataprocを引き続き使用する必要があります。
あなたは何をするべきか？
A. 寄木細工のファイルではなく、TFRecords形式（ファイルあたり約200MB）に切り替えます。
B. HDDからSSDに切り替え、初期データをGCSからHDFSにコピーし、Sparkジョブを実行して、結果をGCSにコピーします。
C. HDDからSSDに切り替え、プリエンプティブVM構成をオーバーライドして、ブートディスクサイズを増やします。
D. 寄木細工のファイルのサイズを大きくして、最小1GBになるようにします。
Answer: B

NEW QUESTION: 2
Which two migration will result in the least down time for a physical or logical migration of a database with active users during the migration?
A. using cross-platform transportable tablespaces
B. using Data Guard Physical Standby
C. using GoldenGate
D. using incremental cross-platform RMAN restore
E. using SQL Developer migration tools
Answer: B,C
Explanation:
Reference:
http://www.oracle.com/technetwork/middleware/goldengate/overview/ggzerodowntimedata baseupgrades-174928.pdf

NEW QUESTION: 3
The Hyperledger Project Framework of blockchains is meant for specific use cases for enterprise.
Which blockchain includes a novel consensus algorithm, Proof of Elapsed Time (PoET)?
A. Hyperledger Sawtooth
B. Hyperledger Indy
C. Hyperledger Iroha
D. Hyperledger Fabric
Answer: A
Explanation:
Explanation
Hyperledger Sawtooth is a modular platform for building, deploying, and running distributed ledgers.
Hyperledger Sawtooth includes a novel consensus algorithm, Proof of Elapsed Time (PoET), which targets large distributed validator populations with minimal resource consumption.