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NEW QUESTION: 1
GoogleCloudでレコメンデーションエンジンを使用するアプリケーションを開発しています。ソリューションでは、過去の視聴回数に基づいて新しい動画を顧客に表示する必要があります。ソリューションでは、顧客が視聴したビデオ内のエンティティのラベルを生成する必要があります。設計では、数TBのデータに関する他の顧客の好みからのデータに基づいて、非常に高速なフィルタリングの提案を提供できる必要があります。あなたは何をするべきか？
A. Spark MLlibを使用して複雑な分類モデルを構築およびトレーニングし、ラベルを生成して結果をフィルタリングします。
CloudDataprocを使用してモデルをデプロイします。アプリケーションからモデルを呼び出します。
B. Spark MLlibを使用して分類モデルを構築およびトレーニングし、ラベルを生成します。 Spark MLlibを使用して2番目の分類モデルを構築およびトレーニングし、顧客の好みに一致するように結果をフィルタリングします。 CloudDataprocを使用してモデルをデプロイします。アプリケーションからモデルを呼び出します。
C. Cloud Video IntelligenceAPIを呼び出してラベルを生成するアプリケーションを構築します。 Cloud Bigtableにデータを保存し、予測されたラベルをフィルタリングしてユーザーの表示履歴に一致させ、設定を生成します。
D. Cloud Video IntelligenceAPIを呼び出してラベルを生成するアプリケーションを構築します。 Cloud SQLにデータを保存し、予測されたラベルを結合およびフィルタリングして、ユーザーの表示履歴と一致させ、設定を生成します。
Answer: C
NEW QUESTION: 2
다음 감사 절차 중 생산 시설에서 예산 대비 실제 원료 소비 간의 불일치를 식별하기 위해 가장 관련성 높은 정보를 제공하는 것은 무엇입니까?
A. 관찰.
B. 문의.
C. 문서 검증.
D. 분석 검토.
Answer: D
NEW QUESTION: 3
A. Depends on if it is in VPC or not
B. Yes
C. No
Answer: C
NEW QUESTION: 4
What are two data items that an analyst can learn about a data exfiltration alarm by using Cisco Stealthwatch? (Choose two.)
A. application or protocol that is used to transfer the data
B. names of files that were transferred
C. IP address to which data was sent
D. the signature that triggered the alarm
Answer: A,C
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