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NEW QUESTION: 1
which of the following use cases is classified as operational reporting? Please choose the correct answer.
A. Near-real-time access to original transactional values
B. Evaluation of trend over several years.
C. Reporting requirementswith monthly data refreshes
D. Year-to-date comparison reports containing prior and actual year numbers
Answer: A

NEW QUESTION: 2
In IBM Tivoli Storage Manager for Virtual Environments, which type of restore allows access to a volume immediately while the restore continues in the background?
A. Dynamic
B. Instant
C. Multi-session
D. Incremental
Answer: B

NEW QUESTION: 3
Einstein Discoveryの場合：
A. 「なぜ起こったのか」という洞察は、結果につながった正確な要因をより深く調べるのに役立ちます。
なぜそれが起こったのかs / Qの洞察は、ストーリーの目標に貢献したさまざまな要因をより深く掘り下げます。
これらの洞察は、データセットの統計分析に基づいています。 Einstein Discoveryは、ウォーターフォールチャートを使用して、なぜそれが起こったのかを洞察するのに役立ちます。
B. 「何が起こったのか」という洞察は、ストーリーの主要な洞察です。これらは、データセットの統計分析に基づいて、y / Qの概要レベルで結果に貢献した要因を調査するのに役立つ説明的な洞察です。 .Einstein Discoveryは、棒グラフを使用して、Happened What insightsの視覚化を支援します。
C. 「違いとは」洞察は、ストーリーの説明変数と目標（目標結果変数）の関係をよりよく理解するのに役立つ比較洞察です。これらの洞察は、データセットの統計分析に基づいており、結果変数の最大の変化に寄与する要因を把握するのに役立ちます。 Einstein Discoveryは、ウォーターフォールチャートを使用して、What Is The Differenceインサイトで比較を視覚化するのに役立ちます。
D. 「予測と改善」の洞察は、将来何が起こる可能性があるかを調べるのに役立ちます。たとえば、「ストーリーのwhat if分析。EinsteinDiscoveryは、データセットの統計分析と予測分析に基づいた予測と改善案を提供します。これらの洞察を視覚化するために、Einstein Discoveryは以下を使用します。
-予測用のウォーターフォールチャート
-改善案の棒グラフ
Answer: B,C,D