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IBM Information Integration & Governance Sales Mastery v1 (M2090-822日本語版) Sample Questions:

1. 見込み顧客には多くのレガシーシステムがあり、複数のデータソースにわたって長年にわたる非構造化データが蓄積されています。彼らはそれを理解したい。冗長、陳腐化、または些細なものとして分類し、関連データのみを迅速かつ安全にクラウドに移動します。
どの情報統合およびガバナンスソリューションがニーズに適合しますか？

A) 保存されたIQ
B) DataStage on Cloud
C) クラウド上のマスターデータ管理
D) DataWorks Lift

2. クライアントには複数のデータベースがあり、そこからデータを引き出したいため、OracleとSQLServerのデータのギャップと重複を理解したいと考えています。
どのような情報統合およびガバナンスソリューションが、この理解を深めるのに役立ちますか？

A) InfoSphere Information Analyzer
B) 情報ガバナンスのカタログ
C) Biglnsights BigMatch
D) マスターデータ管理

3. Data Governanceの主な利点はどれですか？

A) すべてのリポジトリからすべての個人情報を削除する
B) 不要なデータの正当な廃棄
C) アクセスを容易にするために、ビジネスに不可欠なすべてのデータを単一のリポジトリに統合します
D) 5年以上データを管理しない

4. IBMのEnterprise Data Lakeを最もよく説明しているステートメントはどれですか？

A) セルフサービスアクセスの基盤となるインフラストラクチャとしてHadoopを使用して中央の場所に転送されたデータ
B) メタデータによって管理、管理、保護、接続され、セルフサービスアクセスを提供するリポジトリのグループ
C) セルフサービスアクセスを備えた管理対象データソースのシンプルなコレクション
D) 異なるリポジトリからデータが蓄積されたデータウェアハウス

Solutions: