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NEW QUESTION: 1
The following document exists in a Cloudant database named invoices created by user candidate
What information is required in order to delete it?
A. the document_idanduser
B. the document's most recent_revvalue only
C. the document's_idand most recent_revvalue
D. the document's_idonly
Answer: C
Explanation:
To delete a document you need its _id and _rev, the easiest way to get the _rev for a known document _id is to issue a HEAD request against the document:
Command
curl -i -X HEADhttps://[username].cloudant.com/crud/[doc_id]
Response
HTTP/1.1 200 OK X-Couch-Request-ID: 89d9d456 Server: CouchDB/1.0.2 (Erlang OTP/R14B) ETag: "2-e4b98cc0fc2a181e4eb26f8ad41fa5fe" Date: Mon, 04 Jun 2012 14:47:15 GMT Content-Type: text/plain; charset=utf-8 Content-Length: 113 Cache-Control: must-revalidate
NEW QUESTION: 2
A. /unattend
B. /oobe
C. /audit
D. /generalize
Answer: D
Explanation:
Generalize prepares the Windows installation to be imaged.
If this option is specified, all unique system information is removed from the Windows installation. The security ID (SID) resets, any system restore points are cleared, and event logs are deleted.
The next time the computer starts, the specialize configuration pass runs. A new security ID (SID)is created, and the clock for Windows activation resets, if the clock has not already been reset three times.
NEW QUESTION: 3
While having a discussion with your colleague, this person mentions that they want to perform K-means clustering on text file data stored in HDFS.
Which tool would you recommend to this colleague?
A. HBase
B. Mahout
C. Scribe
D. Sqoop
Answer: B
NEW QUESTION: 4
企業は、AWSに移行することにより、重要な20個のアプリケーションのグループに関連するコストを管理したいと考えています。アプリケーションは、JavaとNode.jsが混在し、異なるインスタンスクラスターに分散しています。同社は、単一の展開方法論を使用して標準化しながらコストを最小限に抑えたいと考えています。ほとんどのアプリケーションは、少数の同時ユーザーがいる月末処理ルーチンの一部ですが、他の時間に実行されることもあります。アプリケーションの平均メモリ消費は1 GB未満ですが、一部のアプリケーションはピーク処理中に2.5 GBものメモリを使用します。グループ内で最も重要なアプリケーションは、複数のデータソースにアクセスし、多くの場合数時間アクセスするJavaで作成された請求レポートです。
最も費用対効果の高いソリューションはどれですか？
A. アプリケーションごとに個別のAWS Lambda関数をデプロイします。 AWS CloudTrailログとAmazon CloudWatchアラームを使用して、重要なジョブの完了を確認します。
B. メモリ使用率75％に設定されたAuto Scalingを使用してAmazon EC2コンテナーをAmazon EC2にデプロイします。 ECSタスクスケーリングを使用して、移行する各アプリケーションにECSタスクを展開します。 Amazon CloudWatchを使用してサービスとホストを監視します。
C. EC2 Auto ScalingおよびApplication Load Balancerを使用して、すべてのアプリケーションを共同ホストする新しいAmazon EC2インスタンスクラスターをデプロイします。インスタンスのメモリ使用率に設定されたカスタムメトリックに基づいてクラスターサイズをスケーリングします。 Auto ScalingグループのGroupMaxSizeパラメーターに等しい3年間のリザーブドインスタンス予約を購入します。
D. Auto Scalingを使用して各アプリケーションにAWS Elastic Beanstalkをデプロイし、すべてのリクエストに十分なリソースがあることを確認します。 CloudWatchアラームを使用して、各AWS Elastic Beanstalkデプロイを監視します。
Answer: D