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NEW QUESTION: 1
Given the program below:
Why does the program fail?
A. You cannot output to different data sets
B. You must use two different DATA statements for HEIGHT1 and HEIGHT2
C. You must include the data set height2 in the DATA statement
D. You cannot use numbers in data set names.
Answer: B
NEW QUESTION: 2
ある企業は、急成長中のゲームのためにプレイヤーの状態情報を保存するための完全に管理されたソリューションを探しています。アプリケーションは複数のAmazon EC2ノード上で実行され、受信トラフィックに応じて拡張できます。
要求はどのノードにもルーティングできるため、状態情報は集中型データベースに格納する必要があります。プレイヤーの状態情報は強い一貫性を持って読まれる必要があり、どんな変更に対しても条件付きの更新が必要です。どのサービスが最も費用対効果が高く、シームレスに拡張できるでしょうか。
A. Amazon RDS
B. Amazon S3
C. Amazon DynamoDB
D. Amazon Redshift
Answer: C
NEW QUESTION: 3
When installing IBM App Connect Enterprise for a shared installation on Linux, which group do users needed to be added to in order to gain access to the platform?
A. mqnodeusers
B. mqsiadmin
C. mqusers
D. mqbrkrs
Answer: D
Explanation:
Explanation
https://www.ibm.com/support/knowledgecenter/SSTTDS_11.0.0/com.ibm.etools.mft.doc/bh25992_.htm
NEW QUESTION: 4
You has a cluster running with the Fail Scheduler enabled.
There are currently no jobs running on the cluster you submit a job A, so that only job A is running on the cluster. A while later, you submit job B.
Now job A and Job B are running on the cluster al the same time. How will the Fair' Scheduler handle these two Jobs?
A. When job B gets submitted, Job A has to finish first, before job it can get scheduled.
B. When job A gets submitted, it doesn't consume all the task slot
C. When job B gets submitted, it will get assigned tasks, while job A continues to run with fewertasks.
D. When job A gets submitted, it consumes all the task slot
Answer: C
Explanation:
Fair scheduling is a method of assigning resources to jobs such that all jobs get, on average, an equal share of resources over time. When there is a single job running, that job uses the entire cluster. When other jobs are submitted, tasks slots that free up are assigned to the new jobs, so that each job gets roughly the same amount of CPU time. Unlike the default Hadoop scheduler, which forms a queue of jobs, this lets short jobs finish in reasonable time while not starving long jobs. It is also a reasonable way to share a cluster between a number of users. Finally, fair sharing can also work with job priorities - the priorities are used as weights to determine the fraction of total compute time that each job should get.
Reference: Hadoop,Fair Scheduler Guide