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NEW QUESTION: 1
When upserting record using Apex Data Loader and using the record id for matching the record, if the value for the record id field is not provided in the csv file or while mapping fields from the csv file to the Salesforce object fields, then
A. New record gets created in Salesforce
B. The upsert fails
Answer: A

NEW QUESTION: 2
コンテンツ管理システム（CSM）が実装されている場合、次のうちどれが発生しますか？
A. システムへのパッチ適用は簡単に完了します
B. テストシステムと本番システムは同じソフトウェアをリミングします
C. 開発者は本番システムにアクセスできなくなります
D. 本番環境に配置されたアプリケーションは安全です
Answer: B

NEW QUESTION: 3
대기 오염의 결과를 해결하기 위해 도시의 대기 질을 모니터링하려고 합니다. 머신 러닝 전문가는 도시에서 다음 2 일 동안 오염 물질 백만 분의 1 단위로 대기 질을 예측해야 합니다. 이것은 프로토 타입이므로 작년 제공 Amazon SageMaker에서 가장 좋은 결과를 제공 할 가능성이 가장 높은 모델은 무엇입니까?
A. predictor_type의 회귀 변수가 있는 1 년 전체 데이터로 구성된 단일 시계열에 Amazon SageMaker 선형 학습자 알고리즘을 사용하십시오.
B. predictor_type 분류기를 사용하여 1 년 전체 데이터로 구성된 단일 시계열에 Amazon SageMaker 선형 학습자 알고리즘을 사용하십시오.
C. 전체 연도 데이터로 구성된 단일 시계열에서 Amazon SageMaker 랜덤 컷 포레스트 (RCF)를 사용하십시오.
D. predictor_type이 회귀 형인 1 년 데이터로 구성된 단일 시계열에 Amazon SageMaker kNearest-Neighbors (kNN) 알고리즘을 사용하십시오.
Answer: A
Explanation:
https://aws.amazon.com/blogs/machine-learning/build-a-model-to-predict-the-impact-of-weather- on-urban-air-quality-using-amazon-sagemaker/?ref=Welcome.AI