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NEW QUESTION: 1
大手金融機関があなたの会社と契約して、大規模なデータマイニングアプリケーションをセットアップしました。 AWSを使用して、これに最適なサービスは、Hadoopを使用していることがわかっているAmazon Elastic MapReduce（EMR）であると判断します。次のステートメントのうち、Hadoopを最もよく表しているのはどれですか？
A. HadoopはオープンソースのJavaScriptフレームワークです
B. HadoopはオープンソースのPythonWebフレームワークです
C. HadoopはオープンソースのJavaソフトウェアフレームワークです
D. Hadoopは、AMIを使用してインストールできるサードパーティソフトウェアです。
Answer: C
Explanation:
Amazon EMR uses Apache Hadoop as its distributed data processing engine. Hadoop is an open source, Java software framework that supports data-intensive distributed applications running on large clusters of commodity hardware. Hadoop implements a programming model named
"MapReduce," where the data is divided into many small fragments of work, each of which may be executed on any node in the cluster.
This framework has been widely used by developers, enterprises and startups and has proven to be a reliable software platform for processing up to petabytes of data on clusters of thousands of commodity machines.
Reference: http://aws.amazon.com/elasticmapreduce/faqs/
NEW QUESTION: 2
あなたのAPIは、AWSの地域的な障害の間、オンラインを維持する能力を必要とします。あなたのAPIは状態を保存せず、他のソースからのデータを集約するだけです - あなたはデータベースを持っていません。このアップタイム目標を達成するための単純だが効果的な方法は何ですか？
A. ELBおよびクロスゾーンELB展開を使用して、データセンター間で冗長性を確保します。地域に障害が発生しても、他のAZはオンラインのままになります。
B. CloudFrontディストリビューションを使ってAPIを提供してください。 APIがある地域がダウンしても、CloudFrontが使用するエッジロケーションは問題ありません。
C. Route53 Weighted Round Robinレコードを作成し、一方の地域が停止した場合は、その地域をもう一方の地域にリダイレクトします。
D. フェイルオーバーを使用してRoute53レイテンシーベースのルーティングレコードを作成し、それを2つの異なる地域にある2つの同一のステートレスAPIの展開にポイントします。両方のリージョンがELBの背後でAuto Scaling Groupを使用していることを確認してください。
Answer: D
Explanation:
Latency Based Recordsを使用すると、両方のリージョンに問題がなければリクエストを分散でき、Failoverコンポーネントでリージョン間のフォールバックが可能になります。 ELBとASGを追加することで、フェイルオーバーが発生するたびに、生き残った地域のシステムを元の割合ではなく100％の需要を満たすように拡張できます。
http://docs.aws.amazon.com/Route53/latest/DeveloperGuide/dns-failover.html
NEW QUESTION: 3
Universal Containers wants to introduce data volume testing to resolve ongoing performance defects earlier in the lifecycle. Regulations prohibit the use of production data in non-production environments.
Which two options can the architect recommend?
Choose 2 answers
A. Generate mock data that mimics production data shape and volume.
B. Use Query Analyzer in production.
C. Perform data masking on full sandbox after a refresh.
D. Request a partial Sandbox copy after the next Salesforce release.
Answer: A,D