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NEW QUESTION: 1
会社のソリューションを設計しています。このソリューションでは、客観的な分類にモデルトレーニングを使用します。
ソリューションを設計する必要があります。
何をお勧めしますか？
A. Azure Cognitive Servicesアプリケーション
B. Power BIモデル
C. インタラクティブなSparkクエリ
D. Spark Streamingジョブ
E. Spark MLibを使用するSparkアプリケーション。
Answer: E
Explanation:
Explanation
Spark in SQL Server big data cluster enables AI and machine learning.
You can use Apache Spark MLlib to create a machine learning application to do simple predictive analysis on an open dataset.
MLlib is a core Spark library that provides many utilities useful for machine learning tasks, including utilities that are suitable for:
* Classification
* Regression
* Clustering
* Topic modeling
* Singular value decomposition (SVD) and principal component analysis (PCA)
* Hypothesis testing and calculating sample statistics
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-machine-learning-mllib-ipython

NEW QUESTION: 2
Which of the following cameras supports face capture?
A. IPC6284-VRZ
B. IPC6225-VRZ-SP
C. IPC6126-WDL-F
D. IPC6125-WDL-FA
Answer: C

NEW QUESTION: 3
자동 확장을 사용하는 응용 프로그램 계층에서 실행중인 인스턴스의 인스턴스 유형을 변경하기로 결정했습니다. 인스턴스 유형 정의를 아래의 어느 영역에서 변경할 것입니까?
A. 자동 스케일링 그룹
B. 자동 확장 실행 구성
C. 자동 크기 조정 태그
D. 자동 확장 정책
Answer: B