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NEW QUESTION: 1
Answer:
Explanation:
Explanation
NEW QUESTION: 2
In an expensive statement trace configuration, you want to identify queries that run longer than two minutes.
Which value do you enter?
Please choose the correct answer.
A. 0
B. 1
C. 2
D. 12 000
Answer: B
NEW QUESTION: 3
회사에서 사용자 행동을 사기 또는 정상으로 분류하려고 합니다. 내부 연구를 기반으로 머신 러닝 전문가는 계정 연령과 거래 월이라는 두 가지 기능을 기반으로 이진 분류기를 구축하려고 합니다. 이러한 기능에 대한 클래스 분포는 제공된 그림에 나와 있습니다.
이 정보를 바탕으로 가장 높은 정확도를 갖는 모델은 무엇입니까?
A. 비선형 커널을 사용하는 SVM (Support Vector Machine)
B. 확장 지수 선형 단위 (SELU)가있는 장단기 기억 (LSTM) 모델
C. 로지스틱 회귀
D. tanh 활성화 기능이 있는 단일 퍼셉트론
Answer: A
Explanation:
https://www.mathworks.com/help/stats/support-vector-machines-for-binary-classification.html
NEW QUESTION: 4
会社のデータエンジニアリングソリューションを開発します。
プロジェクトには、メモリ内のバッチデータ処理ソリューションが必要です。
Microsoft Azureでデータをバッチ処理するためにHDInsightクラスターをプロビジョニングする必要があります。
PowerShellセグメントをどのように完成させる必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
References:
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/spark/apache-spark-jupyter-spark-sql-use-powershell
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/spark/apache-spark-overview