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NEW QUESTION: 1
Answer:
Explanation:
Explanation
NEW QUESTION: 2
A company generates 1 GB of ticketing data daily. The data is stored in multiple tables Business users need to see trends of tickets processed for the past two years. Users very rarely access the transaction-level data for a specific date. Only the past two years of data must be loaded which is 720 GB of data Which method should a data architect use to meet these requirements?
A. Load only aggregated data for two years and use Direct Discovery for transaction data
B. Load only aggregated data for two years and use ODAG for transaction data
C. Load only two years of data and use best practices in scripting and visualization to calculate and display aggregated data
D. Load only two years of data in an aggregated app and create a separate transaction app for occasional use
Answer: B
NEW QUESTION: 3
Welche der folgenden Aussagen würde die höhere annualisierte Verlusterwartung (ALE) darstellen?
A. Feuer
B. Überschwemmung
C. Sturm
D. Erdbeben
Answer: A