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NEW QUESTION: 1
Given a four-week project involving 22 tasks, a budget of $22,000, and a part-time team (project manager
and two analysts), which project management tool will most likely be used to display project progress to
management?
A. Budget variance report
B. Network diagram
C. Work breakdown structure
D. Gantt/milestone chart
Answer: D
NEW QUESTION: 2
HOTSPOT
Answer:
Explanation:
In-Place Archiving helps you regain control of your organization's messaging data by eliminating the need for personal
store (.pst1 files. With archiving enabled, users can store messages in an archive mailbox, also called an In-Place
Archive, which is accessible by using Microsoft Outlook and Outlook Web App.
In this question, we use the Get-Mailbox cmdlet to retrieve a list of all mailboxes.
The -Filter {(RecipientTypeDetails -eq 'UserMailbox'1} option is used to retrieve a list of user mailboxes only (thus
excluding Room mailboxes, Resource mailboxes etc1.
The Enable-Mailbox -Archive command is used to create an archive for each user mailbox returned by the Get-
Mailbox command.
References:
https://technet.microsoft.com/en-us/library/jj984357(v=exchg.1501
NEW QUESTION: 3
What action occurs automatically on a cluster when a DataNode is marked as dead?
A. The NameNode informs the client which write the blocks that are no longer available; the client then re-writes the blocks to a different DataNode.
B. The NameNode forces re-replication of all the blocks which were stored on the dead DataNode.
C. The next time a client submits job that requires blocks from the dead DataNode, the JobTracker receives no heart beats from the DataNode. The JobTracker tells the NameNode that the DataNode is dead, which triggers block re-replication on the cluster.
D. The replication factor of the files which had blocks stored on the dead DataNode is temporarily reduced, until the dead DataNode is recovered and returned to the cluster.
Answer: B
Explanation:
How NameNode Handles data node failures?
NameNode periodically receives a Heartbeat and a Blockreport from each of the DataNodes in the
cluster. Receipt of a Heartbeat implies that the DataNode is functioning properly. A Blockreport
contains a list of all blocks on a DataNode. When NameNode notices that it has not recieved a
hearbeat message from a data node after a certain amount of time, the data node is marked as
dead. Since blocks will be under replicated the system begins replicating the blocks that were
stored on the dead datanode. The NameNode Orchestrates the replication of data blocks from one
datanode to another. The replication data transfer happens directly between datanodes and the
data never passes through the namenode.
Note: If the Name Node stops receiving heartbeats from a Data Node it presumes it to be dead
and any data it had to be gone as well. Based on the block reports it had been receiving from the
dead node, the Name Node knows which copies of blocks died along with the node and can make
the decision to re-replicate those blocks to other Data Nodes. It will also consult the Rack
Awareness data in order to maintain thetwo copies in one rack, one copy in another rackreplica
rule when deciding which Data Node should receive a new copy of the blocks.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, How
NameNode Handles data node failures'
NEW QUESTION: 4
ある企業では、オンプレミスデータセンターにHigh Performance Computing(HPC)クラスターがあり、毎月1週間にわたって数千のジョブを並行して実行し、ペタバイトの画像を処理しています。イメージはネットワークファイルサーバーに保存され、災害復旧サイトに複製されます。オンプレミスのデータセンターは容量に達しており、クラスターをより有効に活用するために、ジョブを月中に分散し始め、ジョブの完了を遅らせています。
同社は、ソリューションアーキテクトに、現在の5,000コアと10ペタバイトのデータ容量を超えて拡張できるように、AWSで費用対効果の高いソリューションを設計するよう依頼しました。このソリューションは、最小限の管理オーバーヘッドを必要とし、現在のレベルの耐久性を維持する必要があります。
会社の要件を満たすソリューションはどれですか?
A. Sparkを使用してAmazon S3からデータをプルするオンデマンドタスクノードとリザーブドインスタンスタスクノードの組み合わせでAmazon EMRクラスターを作成します。 Amazon DynamoDBを使用して、Amazon EMRクラスターで処理する必要があるジョブのリストを維持します。
B. 生データをAmazon S3に保存し、AWS Batchをマネージドコンピューティング環境で使用してスポットフリートを作成します。 AWSバッチジョブキューにジョブを送信して、オブジェクトをAmazon S3からAmazon EBSボリュームにプルダウンして一時的なストレージを処理し、結果をAmazon S3に書き戻します。
C. ジョブの実行可能ファイルを使用してAmazon Elastic Container Registryにコンテナーを作成します。 Auto ScalingグループのスポットフリートでAmazon ECSを使用します。未加工データをAmazon EBS SC1ボリュームに保存し、出力をAmazon S3に書き込みます。
D. 処理するジョブのリストをAmazon SQSに送信して、処理する必要があるジョブをキューに入れます。
スポットフリートを使用して、キュー深度に基づいて自動的にスケーリングするAmazon EC2ワーカーインスタンスの多様なクラスターを作成します。 Amazon EFSを使用して、クラスター内のすべてのインスタンスで共有するすべてのデータを保存します。
Answer: D