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NEW QUESTION: 1
주요 재무 조직이 대규모 데이터 마이닝 응용 프로그램을 설정하기 위해 귀사와 협력 해 왔습니다. AWS를 사용하면 Hadoop을 사용하는 것으로 알려진 Amazon Elastic MapReduce (EMR)가 가장 적합한 서비스로 결정됩니다. 다음 중 Hadoop을 가장 잘 설명하는 문장은 무엇입니까?
A. Hadoop은 오픈 소스 자바 스크립트 프레임 워크입니다.
B. Hadoop은 오픈 소스 Python 웹 프레임 워크입니다.
C. Hadoop은 AMI를 사용하여 설치할 수있는 타사 소프트웨어입니다.
D. Hadoop은 오픈 소스 Java 소프트웨어 프레임 워크입니다.
Answer: D
Explanation:
설명:
Amazon EMR은 분산 데이터 처리 엔진으로 Apache Hadoop을 사용합니다.
Hadoop은 상용 하드웨어의 대규모 클러스터에서 실행되는 데이터 집약적 인 분산 응용 프로그램을 지원하는 오픈 소스 Java 소프트웨어 프레임 워크입니다. Hadoop은 다음과 같은 프로그래밍 모델을 구현합니다.
"MapReduce". 데이터는 여러 개의 작은 작업 조각으로 나뉘며 각 작업 조각은 클러스터의 모든 노드에서 실행될 수 있습니다.
이 프레임 워크는 개발자, 기업 및 신생 기업에서 널리 사용되어 왔으며 수천 대의 상용 컴퓨터 클러스터에서 최대 페타 바이트까지의 데이터를 처리 할 수있는 안정적인 소프트웨어 플랫폼으로 입증되었습니다.
참조 : http://aws.amazon.com/elasticmapreduce/faqs/
NEW QUESTION: 2
分類モデルを評価するためにどのメトリックを使用できますか？
A. 決定係数（R2）
B. 二乗平均平方根誤差（RMSE）
C. 平均絶対誤差（MAE）
D. 真陽性率
Answer: D
Explanation:
Explanation
What does a good model look like?
An ROC curve that approaches the top left corner with 100% true positive rate and 0% false positive rate will be the best model. A random model would display as a flat line from the bottom left to the top right corner.
Worse than random would dip below the y=x line.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml#classification
NEW QUESTION: 3
You need to identity the risk points that ate present one week poor to go live.
Which risk points should you discuss? To answer, select the appropriate options in the answer area.
NOTE Each correct selection is worth one point.
Answer:
Explanation:
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