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NEW QUESTION: 1
契約インストラクターは、12人の学習者とコースを教えるために雇われました。学習者を調査した後、クラスの半分が教えられている科目に精通していないことが確認されています。クラス全体が成功するために、インストラクターは次のうちどれを行うべきですか？
A. クラスをキャンセルしてから、クラスを2つの異なるコースに分割します。
B. より経験豊富な学習者に教える。他の人が追いつきます。
C. 教材を既に知っている6人の学習者を、他の学習者が追いつくまで待つ
D. 続行方法の提案については、トレーニングマネージャーにお問い合わせください。
Answer: D

NEW QUESTION: 2
Wie können Sie einen BW-Bericht von einem SAP-ERP-HCM-Bericht unterscheiden?
Es gibt 3 richtige Antworten auf diese Frage.
A. Die BW-Berichte ermöglichen Zeitreihenvergleiche.
B. Die Grundlage für die BW-Daten muss die InfoSet Query sein.
C. Die BW-Berichte enthalten Merkmals- und Kennzahlensätze.
D. BW-Berichtsdaten können von mehreren Systemen stammen.
E. Die BW-Reports basieren auf den logischen Datenbanken PNPCE und PCH.
Answer: A,C,D

NEW QUESTION: 3
正確でリアルタイムの気象チャートアプリケーションのパフォーマンスを最適化したいと考えています。 このデータは、50,000個のセンサーからのもので、タイムスタンプとセンサー読み取りの形式で10個の読み取り値を秒単位で送信します。 データをどこに保存すべきですか？
A. Google Cloud SQL
B. Google BigQuery
C. Google Cloud Bigtable
D. Google Cloud Storage
Answer: C
Explanation:
Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
Low-latency read/write access
* High-throughput analytics
* Native time series support
* Common workloads:
IoT, finance, adtech
* Personalization, recommendations
* Monitoring
* Geospatial datasets
* Graphs
* References: https://cloud.google.com/storage-options/