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NEW QUESTION: 1
Which statement describes the effect of the overload keyword in the ip nat inside source list 90 interface ethernet 0/0 overload command?
A. Hosts that match access listinsideare translated to an address in the Ethernet 0/0 network.
B. Addresses that match access listinsideare translated to the IP address of the Ethernet 0/0 interface.
C. Addressesthat match access list90are translated through PAT to the IP address of the Ethernet 0/0 interface.
D. Hosts on the Ethernet 0/0 LAN are translated to the address pool in access list90.
Answer: C

NEW QUESTION: 2
C # 프로그램을 작성 중입니다.
다음 메소드를 작성합니다.
공공 정적 무효 TestSwitch (int op1, int op2, char opr)
{
int result;
스위치 (opr)
{
대소 문자 '+':
결과 = op1 + op2;
대소 문자 '-':
결과 = op1 - op2;
case '*':
결과 = op1 * op2;
대소 문자 '/':
결과 = op1 / op2;
태만:
Console.WriteLine ( "알 수없는 연산자");
반환;
}
Console.WriteLine ( "결과 : {0}", 결과);
반환;
}
그러나이 코드를 컴파일 할 때 다음과 같은 오류 메시지가 나타납니다.
하나의 사례 레이블에서 다른 레이블로 제어가 넘어갈 수 없음
코드가 성공적으로 컴파일되도록 하려면 어떻게 수정해야 합니까?
A. 각 사례 뒤에 다음 코드 줄을 추가하십시오.
잇다;
B. 각 경우마다 다음 코드 행을 추가하십시오.
단절;
C. 각 사례 뒤에 다음 코드 줄을 추가합니다.
goto default;
D. 각 사례 뒤에 다음 코드 줄을 추가합니다.
반환;
Answer: B

NEW QUESTION: 3
Which MGCP message does a Cisco IOS MGCP gateway send to the backup Cisco Unified CM server when two consecutive keep-alive exchanges failed with the primary Cisco Unified CM server?
A. NTFY
B. AUEP
C. AUCX
D. RSIP
E. DLCX
Answer: D
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are creating a model to predict the price of a student's artwork depending on the following variables: the student's length of education, degree type, and art form.
You start by creating a linear regression model.
You need to evaluate the linear regression model.
Solution: Use the following metrics: Relative Squared Error, Coefficient of Determination, Accuracy, Precision, Recall, F1 score, and AUC.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation
Relative Squared Error, Coefficient of Determination are good metrics to evaluate the linear regression model, but the others are metrics for classification models.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model