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NEW QUESTION: 1
注：この質問は、同じまたは類似の回答の選択肢を使用する一連の質問の一部です。 回答の選択肢は、シリーズの複数の質問に対して正しいかもしれません。 各質問は、このシリーズの他の質問とは独立しています。 質問で提供される情報と詳細は、その質問にのみ適用されます。
多次元データモデルを使用してMicrosoft SQL Serverデータウェアハウスを実装しています。
データウェアハウスのパイロットバージョンをテストするとき、ビジネスユーザーは在庫の製品数が不正確であることを観察します。 在庫中の製品の数は常に増加し、これまでに在庫があった製品の総数を表します。
既存のモデルを修正し、それが在庫品の数を反映していることを確認する必要があります。 データモデルの全体的な構造を変更してはいけません。
あなたは何をするべきか？
A. semi-additive measure
B. slowly changing dimension (SCD)
C. dimension table reference relationship
D. star schema
E. fact table
F. conformed dimension
G. non-additive measure
H. snowflake schema
Answer: C

NEW QUESTION: 2

A. Option C
B. Option A
C. Option B
Answer: C

NEW QUESTION: 3
An Administrator working with a IBM Security QRadar V7.2.8 deployment is looking to add Layer-7 visibility and data collection. The current deployment is running a QRadar 3128-C Console and has 8Gbps of network traffic.
What appliance solution would give this customer the results they are looking for?
A. Adding two QRadar QFlow Collector 1301 appliances and one QRadar QFlow Collector 1202 appliance
B. Adding a single QRadar QFlow Collector 1310 SR-C/LR-C
C. Adding two QRadar QFlow Collector 1301 appliances
D. Adding an additional QRadar 3128-C Console
Answer: A

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