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NEW QUESTION: 1
Microsoft AzureでLambdaアーキテクチャを使用してソリューションを開発しています。
テストレイヤーのデータは、次の要件を満たしている必要があります。
データストレージ：
*リポジトリ（またはさまざまな形式の大量の大容量ファイル）として機能します。
*ビッグデータ分析ワークロード用に最適化されたストレージを実装します。
*階層構造を使用してデータを整理できるようにします。
バッチ処理：
*メモリ内の計算処理にはマネージドソリューションを使用します。
* Scala、Python、およびRプログラミング言語をネイティブにサポートします。
*クラスターを自動的にサイズ変更および終了する機能を提供します。
Analytical data store:
* Support parallel processing.
* Use columnar storage.
* Support SQL-based languages.
Lambdaアーキテクチャを構築するには、正しいテクノロジーを特定する必要があります。
どのテクノロジーを使用する必要がありますか？回答するには、回答エリアで適切なオプションを選択します
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation:
データストレージ：Azure Data Lake Store
Azure Data Lake Storage Gen2がオブジェクトストレージの規模と価格でファイルシステムのパフォーマンスを提供できるようにする重要なメカニズムは、階層的な名前空間の追加です。これにより、アカウント内のオブジェクト/ファイルのコレクションを、コンピューターのファイルシステムを整理するのと同じ方法で、ディレクトリとネストされたサブディレクトリの階層に整理できます。階層型ネームスペースを有効にすると、ストレージアカウントは、分析エンジンとフレームワークに馴染みのあるファイルシステムセマンティクスを使用して、オブジェクトストレージのスケーラビリティと費用対効果を提供できるようになります。
バッチ処理：HD Insight Spark
Aparch Sparkは、ビッグデータ分析アプリケーションのパフォーマンスを向上させるインメモリ処理をサポートするオープンソースの並列処理フレームワークです。
HDInsightは、マネージドHadoopサービスです。 AzureでHadoopクラスターを展開および管理します。バッチ処理には、Spark、Hive、Hive LLAP、MapReduceを使用できます。
言語：R、Python、Java、Scala、SQL
分析データストア：SQL Data Warehouse
SQL Data Warehouseは、超並列処理（MPP）を使用するクラウドベースのエンタープライズデータウェアハウス（EDW）です。
SQL Data Warehouseは、列状ストレージを使用してデータをリレーショナルテーブルに格納します。
参照：
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview-what-is
NEW QUESTION: 2
A solutions architect at an ecommerce company wants to back up application log data to Amazon S3 The solutions architect is unsure how frequently the logs will be accessed or which logs will be accessed the most The company wants to keep costs as low as possible by using the appropriate S3 storage class.
Which S3 storage class should be implemented to meet these requirements?
A. S3 Intelligent-Tiering
B. S3 One Zone-Infrequent Access (S3 One Zone-IA)
C. S3 Glacier
D. S3 Standard-Infrequent Access (S3 Standard-IA)
Answer: A
Explanation:
Explanation
S3 Intelligent-Tiering
S3 Intelligent-Tiering is a new Amazon S3 storage class designed for customers who want to optimize storage costs automatically when data access patterns change, without performance impact or operational overhead. S3 Intelligent-Tiering is the first cloud object storage class that delivers automatic cost savings by moving data between two access tiers - frequent access and infrequent access - when access patterns change, and is ideal for data with unknown or changing access patterns.
S3 Intelligent-Tiering stores objects in two access tiers: one tier that is optimized for frequent access and another lower-cost tier that is optimized for infrequent access. For a small monthly monitoring and automation fee per object, S3 Intelligent-Tiering monitors access patterns and moves objects that have not been accessed for 30 consecutive days to the infrequent access tier. There are no retrieval fees in S3 Intelligent-Tiering. If an object in the infrequent access tier is accessed later, it is automatically moved back to the frequent access tier.
No additional tiering fees apply when objects are moved between access tiers within the S3 Intelligent-Tiering storage class. S3 Intelligent-Tiering is designed for 99.9% availability and 99.999999999% durability, and offers the same low latency and high throughput performance of S3 Standard.
https://aws.amazon.com/about-aws/whats-new/2018/11/s3-intelligent-tiering/
NEW QUESTION: 3
プロジェクトマネージャーは、推進スケジュールを作成する際に、初期の顧客活動に大きく依存するいくつかのチーム活動を特定しました。これらの顧客活動は現在大幅に遅れています。プロジェクトマネージャーは次に何をすべきですか？
A. プロジェクト計画を更新し、次のプロジェクトステータスミーティングでチームとレビューします
B. リスク対応計画を確認する
C. 顧客と会って、改訂されたプロジェクトの終了日について合意します。
D. 変更管理委員会（CCB）に、残り時間に合わせてスコープを修正するよう依頼します
Answer: B