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Their functions are quite same.
NEW QUESTION: 1
한 회사가 대규모 데이터 세트를 분석하기 위해 Amazon S3에서 데이터 레이크 솔루션을 개발하고 있습니다. 이 솔루션은 자주 발생하지 않는 SOL 쿼리 만 수행하고 회사는 인프라 비용을 최소화 하려고 합니다. 이러한 요구 사항을 충족하기 위해 어떤 AWS 서비스를 사용해야 합니까?
A. 아마존 아테나
B. 아마존 오로라
C. PostgreSQL 용 Amazon RDS
D. Amazon Redshift Spectrum
Answer: A
Explanation:
https://docs.aws.amazon.com/fr_fr/redshift/latest/dg/c-using-spectrum.html
NEW QUESTION: 2
IS 감사인이 키 컨트롤이 올바르게 설계되었지만 효과적으로 작동하지 않음을 발견했습니다.
다음 중 감사인은 다음 중 무엇을 해야 합니까?
A. 감사위원회와 제어 결과에 대해 논의
B. 제어 비 효율성의 영향 평가
C. 경영진에게 보고서 초안 배포
D. 다른 컨트롤 추천
Answer: B
NEW QUESTION: 3
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、指定された目標を満たす可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
Azure Machine Learningサービスのデータストアをワークスペースに作成します。データストアには次のファイルが含まれています。
* /data/2018/Q1 .csv
* /data/2018/Q2.csv
* /data/2018/Q3.csv
* /data/2018/Q4.csv
* /data/2019/Q1.csv
すべてのファイルは、次の形式でデータを保存します。
id、M、f2、l
1,1,2,0
2,1,1,1
32、10
次のコードを実行します。
次のコードを使用して、training_dataという名前のデータセットを作成し、すべてのファイルから単一のデータフレームにデータを読み込む必要があります。
解決策：次のコードを実行します。
ソリューションは目標を達成していますか？
A. いいえ
B. はい
Answer: B