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NEW QUESTION: 1

A. Option A
B. Option D
C. Option B
D. Option C
Answer: B,D

NEW QUESTION: 2
머신 러닝 전문가가 교육 데이터 사전 처리를 위해 Apache Spark를 사용하고 있음 Spark 파이프 라인의 일부인 Specialist는 모델 학습 및 호스팅을 위해 Amazon SageMaker를 사용하려고 합니다. 스파크 애플리케이션을 SageMaker와 통합하기 위해 전문가는 다음 중 어떤 작업을 수행합니까? ? (3 개 선택)
A. Spark 환경에 SageMaker Spark 라이브러리를 설치하십시오.
B. 교육 데이터를 ZIP 파일로 압축하고 미리 정의 된 Amazon S3 버킷에 업로드합니다.
C. sageMakerModel을 사용하십시오. SageMaker에서 호스팅되는 모델에서 추론을 가져 오는 변환 방법
D. Spark 환경 용 AWS SDK 다운로드
E. SageMaker Spark 라이브러리에서 적절한 추정기를 사용하여 모델을 학습하십시오.
F. DataFrame 객체를 CSV 파일로 변환하고 CSV 파일을 입력으로 사용하여 SageMaker로부터 유추하십시오.
Answer: B,C,F

NEW QUESTION: 3
Executing this command will have what effect?
options wafl.default_security_style ntfs
A. It will set the security style of all files to be ntfs.
B. It will set the security style of all newly created volumes to ntfs.
C. It will change the security style of all qtrees to be ntfs.
D. It will change the security style of all existing volumes to be ntfs.
Answer: B

NEW QUESTION: 4
Suppose that stocks A, B, C, and D are independent with respect to their price movement, and have probabilities of increasing of 0.25, 0.50, 0.40, and 0.30. What is the probability that stocks A and C will increase in price, while stocks B and D fail to increase?
A. 2.5%.
B. 3.5%.
C. 10%.
Answer: B
Explanation:
If events are independent, then the joint probability of them occurring together is just the product of the individual probabilities. So P(AC) = 0.25 * 0.40 = 10%. To this, we multiply the probabilities of B and D failing to increase: 10% * (1 - 0.50)*(1 - 0.30) = 3.5%.