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NEW QUESTION: 1
Consider the following command to add a new disk group called "tdgroupA" with two failover groups:
CREATE DISKGROUP tdgroupA NORMAL REDUNDANCY FAILOVERGROUP control01 DISK
'/devices/A1',
'/devices/A2',
'/devices/A3'
FAILOVERGROUP control02 DISK
'/devices/B1',
'/devices/B2',
'/devices/B3';
The disk "/devices/A1" is currently a member disk of a disk group by name "tdgroup1".
Which task would be accomplished by the command?
A. A new disk group calledtdgroupA will be added with two failover groups and the /devices/A1 disk will be ignored for the new disk group because it is a member of an existing disk group tdgroup1.
B. A new disk group calledtdgroupA will be added with two failover groups and the /devices/A1 disk gets detached from the existing disk group tdgroup1 and attached to the new disk group tdgroupA disk group.
C. This command would result in an error because a disk group can have only one failover group.
D. A new disk group calledtdgroupA will be added with two failover groups and the /devices/A1 disk will get reattached to the new disk group without being detached from the existing one.
E. This command would result in an error because the /devices/A1 disk is a member of another disk group tdgroup1.
Answer: E

NEW QUESTION: 2
A city has been collecting data on its public bicycle share program for the past three years. The SPB dataset currently on Amazon S3. The data contains the following data points:
* Bicycle organization points
* Bicycle destination points
* Mileage between the points
* Number of bicycle slots available at the station (which is variable based on the station location)
* Number of slots available and taken at each station at a given time
The program has received additional funds to increase the number of bicycle stations, available. All data is regularly archived to Amazon Glacier.
The new bicycle station must be located to provide the most riders access to bicycles. How should this task be performed?
A. Use the Amazon Redshift COPY command to move the data from Amazon S3 into RedShift and platform a SQL query that outputs the most popular bicycle stations.
B. Keep the data on Amazon S3 and use an Amazon EMR based Hadoop cluster with spot insistences to run a spark job that perform a stochastic gradient descent optimization over EMBFS.
C. Persist the data on Amazon S3 and use a transits EMR cluster with spot instances to run a Spark streaming job that will move the data into Amazon Kinesis.
D. Move the data from Amazon S3 into Amazon EBS-backed volumes and EC2 Hardoop with spot instances to run a Spark job that performs a stochastic gradient descent optimization.
Answer: B

NEW QUESTION: 3
DevOpsエンジニアは、AWSに画像バッチ処理クラスターを実装するための最も安価な方法を研究しています。アプリケーションはDockerコンテナーでは実行できず、Amazon EC2で実行する必要があります。バッチジョブは、チェックポイントデータをネットワークファイルシステム（NFS）に格納し、中断を許容できます。ベアEC2 Amazon Linuxイメージからクラスターソフトウェアを構成するには、30分かかります。
最も費用対効果の高いソリューションはどれですか？
A. チェックポイントデータにAmazon EFSを使用します。 EC2フリートを使用してEC2スポットインスタンスを起動し、ユーザーデータを使用して起動時にEC2 Amazon Linuxインスタンスを構成します。
B. チェックポイントデータのEC2インスタンスでClusterFSを使用します。バッチジョブを実行するには、EC2インスタンスを手動で構成します。ジョブが完了したら、インスタンスを手動でシャットダウンします。
C. チェックポイントデータにAmazon EFSを使用します。 EC2フリートを使用してEC2スポットインスタンスを起動します。標準のクラスターAMIを作成し、インスタンスの作成時に最新のAMIを使用します。
D. チェックポイントデータにAmazon EFSを使用します。ジョブを完了するには、EC2 Auto Scalingグループとオンデマンド料金モデルを使用して、EC2インスタンスを一時的にプロビジョニングします。
Answer: A
Explanation:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/burstable-performance-instances- unlimited-mode.html