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NEW QUESTION: 1
Relative positioning is one of the basic building blocks of creating layouts in ConstraintLayout. Constraints allow you to position a given widget relative to another one. What constraints do not exist?
A. layout_constraintStart_toEndOf
B. layout_constraintBaseline_toBaselineOf
C. layout_constraintBaseline_toStartOf
D. layout_constraintBottom_toBottomOf
Answer: C
Explanation:
Reference:
https://developer.android.com/reference/androidx/constraintlayout/widget/ConstraintLayout

NEW QUESTION: 2
組織は大容量のハッシュタグデータのストリームをリアルタイムで処理する必要があり、特定のタグに関する洞察を得るためにデータに対してカスタムSQLクエリを実行する必要があります。組織はこのソリューションに弾力性が必要であり、クラスターを管理したくないと考えています。
これらの要件を満たすAWSサービスは次のうちどれですか？
A. Amazon Athena
B. Amazon Elasticsearch Service
C. Amazon Redshift
D. Amazon Kinesis Data Analytics
Answer: D
Explanation:
Amazon Kinesis Data Analyticsは、ストリーミングデータを分析し、実用的な洞察を得て、ビジネスと顧客のニーズにリアルタイムで対応する最も簡単な方法です。 Amazon Kinesis Data Analyticsは、ストリーミングアプリケーションの構築、管理、および他のAWSサービスとの統合の複雑さを軽減します。 SQLユーザーは、テンプレートとインタラクティブなSQLエディターを使用して、ストリーミングデータを簡単にクエリしたり、ストリーミングアプリケーション全体を構築したりできます。 Java開発者は、オープンソースJavaライブラリとAWS統合を使用して、リアルタイムでデータを変換および分析することにより、洗練されたストリーミングアプリケーションを迅速に構築できます。
Amazon Kinesis Data Analyticsは、リアルタイムアプリケーションを継続的に実行するために必要なすべてを処理し、着信データの量とスループットに合わせて自動的にスケーリングします。 Amazon Kinesis Data Analyticsを使用すると、ストリーミングアプリケーションが消費するリソースに対してのみ料金を支払うことができます。最低料金やセットアップ費用はありません。

NEW QUESTION: 3
次の予測スケジュールタイプのうち、成熟のさまざまな段階の機会で構成されているのはどれですか？
A. クォータ
B. パイプライン
C. 予測
Answer: B