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NEW QUESTION: 1
On a cluster running MapReduce v1 (MRv1), a TaskTracker heartbeats into the JobTracker on your cluster, and alerts the JobTracker it has an open map task slot.
What determines how the JobTracker assigns each map task to a TaskTracker?
A. The number and speed of CPU cores on the TaskTracker node.
B. The amount of RAM installed on the TaskTracker node.
C. The average system load on the TaskTracker node over the past fifteen (15) minutes.
D. The amount of free disk space on the TaskTracker node.
E. The location of the InsputSplit to be processed in relation to the location of the node.
Answer: E
Explanation:
Explanation/Reference:
The TaskTrackers send out heartbeat messages to the JobTracker, usually every few minutes, to reassure the JobTracker that it is still alive. These message also inform the JobTracker of the number of available slots, so the JobTracker can stay up to date with where in the cluster work can be delegated. When the JobTracker tries to find somewhere to schedule a task within the MapReduce operations, it first looks for an empty slot on the same server that hosts the DataNode containing the data, and if not, it looks for an empty slot on a machine in the same rack.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, How JobTracker schedules a task?
NEW QUESTION: 2
ジャーナルを考えると：
「口座番号」、「元の残高」、および「開始日」フィールドを識別するために使用される用語は何ですか？
A. 属性識別子
B. システム識別子
C. ソースシステム識別子
D. ユーザートランザクション識別子
Answer: A
NEW QUESTION: 3
会社は、アプリケーションロードバランサーの背後にあるAmazon CC2インスタンスでWebサービスを実行します。インスタンスは、2つのアベイラビリティーゾーンにまたがるAmazon EC2 Auto Scalingグループで実行されます。会社は、必要なサービスレベルアグリーメント（SLA）を満たすために、最低限のツアーインスタンスが必要です。 ）コストを低く抑えながらアベイラビリティーゾーンが終了した場合、会社はどのようにしてSLAに準拠し続けることができますか？
A. Auto Scalingグループを変更して、3つのアベイラビリティーゾーンで6台のサーバーを使用する
B. Auto Scalingグループを変更して、2つのアベイラビリティーゾーンで8台のサーバーを使用する
C. より大きなインスタンスタイプを使用するようにAutoScalingグループの起動構成を変更します
D. クールダウン期間が短いターゲットトラッキングスケーリングポリシーを追加します
Answer: B
NEW QUESTION: 4
웹 사이트에서 고객의 클릭 스트림 데이터를 분석하여 행동 분석을 수행 할 수 있어야 합니다. 고객은 고객이 클릭 한 페이지 및 광고 순서를 알아야 합니다. 고객이 사이트를 클릭 할 때이 데이터를 실시간으로 사용하여 페이지 레이아웃을 수정하여 끈적임과 광고 클릭률을 높입니다.
이 데이터를 캡션하고 분석하기 위한 요구 사항을 충족하는 옵션은 무엇입니까?
A. 세션별로 웹 클릭을 Amazon Kinesis로 푸시하고 Kinesis 작업자를 사용하여 동작을 분석
B. 세션 별 웹 클릭을 Amazon SQS 대기열에 게시 한 다음 주기적으로 이러한 이벤트를 Amazon RDS로 배출하고 SQL로 분석합니다.
C. URL 스토어별로 웹 로그에서 클릭을 Amazon S3에 기록한 다음 Elastic MapReduce로 분석
D. 클릭 이벤트를 Amazon Redshift에 직접 작성한 다음 SQL로 분석
Answer: A
Explanation:
Explanation
http://www.slideshare.net/AmazonWebServices/aws-webcast-introduction-to-amazon-kinesis References:
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