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NEW QUESTION: 1
Which is true regarding MQ topology options for IBM Integration Bus?
A. Only local bindings to MQ Queue Managers are supported for the MQInput node.
B. MQ can be used to create flexible connection topologies.
C. There is a one to one relationship required between MQ Queue Manager and Integration Node.
D. MQ is an optional component that is not required unless using MQ transport nodes.
Answer: B
Explanation:
Explanation/Reference:
You can use WebSphere MQ to create flexible connection topologies from the different connectivity options.
References: https://www.ibm.com/support/knowledgecenter/en/SSMKHH_10.0.0/com.ibm.etools.mft.doc/ ac25961_.htm

NEW QUESTION: 2
DHCP Offerメッセージで定義されている宛先ポートは何ですか？
A. 69 UDP
B. 68 TCP
C. 68 UDP
D. 69 TCP
Answer: C

NEW QUESTION: 3
기계 학습 전문가는 대기업과 협력하여 제품 내에서 기계 학습을 활용합니다. 이 회사는 향후 6 개월 이내에 고객이 이탈 할 수 있는 고객을 기준으로 고객을 카테고리로 그룹화하려고 합니다. 회사는 전문가가 사용할 수 있는 데이터를 표시했습니다.
전문가가 이 작업을 수행하기 위해 어떤 기계 학습 모델 유형을 사용해야 합니까?
A. 분류
B. 강화 학습
C. 클러스터링
D. 선형 회귀
Answer: A
Explanation:
Explanation
The goal of classification is to determine to which class or category a data point (customer in our case) belongs to. For classification problems, data scientists would use historical data with predefined target variables AKA labels (churner/non-churner) - answers that need to be predicted - to train an algorithm. With classification, businesses can answer the following questions:
* Will this customer churn or not?
* Will a customer renew their subscription?
* Will a user downgrade a pricing plan?
* Are there any signs of unusual customer behavior?