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NEW QUESTION: 1
회사는 Amazon SQS 및 AWS Lambda를 사용하여 AWS에서 주문 시스템을 실행하며 각 주문은 JSON 메시지로 수신됩니다. 최근에 회사는 주문이 10 배 증가한 마케팅 이벤트를 가졌습니다. 이 증가와 함께 주문 시스템에서 다음과 같은 원치 않는 동작이 시작되었습니다.

주문을 처리하는 동안 Lambda가 실패하면 대기열 백 로그가 발생합니다.

동일한 주문이 여러 번 처리되었습니다.
솔루션 설계자는 주문 시스템의 기존 문제를 해결하고 다음과 같은 탄력성 기능을 추가하도록 요청 받았습니다.

분석을 위해 문제가있는 주문을 유지합니다.

오류가 임계 값을 초과하면 알림을 보냅니다.
Solutions Architect는 이러한 요구 사항을 어떻게 충족해야 합니까?
A. Lambda 호출마다 단일 메시지 수신, 추가 Lambda 작업자를 추가하여 대기열 폴링, 처리 후 메시지 삭제, 메시지에 대한 메시지 타이머 증가, 처리 할 수 없는 메시지에 Amazon CloudWatch Logs 사용, CloudWatch 경보 생성 Lambda 오류에 대한 알림.
B. 각 Lambda 호출에서 여러 메시지 수신, 메시지 처리 코드에 오류 처리 추가 및 처리 후 메시지 삭제, 메시지의 가시성 제한 시간 증가, 처리 할 수 없는 메시지에 대한 지연 대기열 생성, Amazon CloudWatch 지표 생성 Lambda 오류에 대한 알림.
C. 각 Lambda 호출에서 여러 메시지 수신, 메시지 처리 코드에 오류 처리 추가 및 처리 후 메시지 삭제, 메시지의 가시성 제한 시간 증가, 처리 할 수 없는 메시지에 대한 배달 못한 편지 대기열 생성, Amazon CloudWatch 생성 알림을 위해 Lambda 오류에 대한 경보.
D. Lambda 호출마다 여러 메시지 수신, 메시지 수신시 긴 폴링 사용, Amazon CloudWatch Logs를 사용하여 메시지 처리 코드에서 오류 기록, AWS Lambda로 배달 못한 편지 대기열 생성, 실패한 호출 캡처, CloudWatch 이벤트 생성 알림에 대한 Lambda 오류.
Answer: B

NEW QUESTION: 2
You are evaluating a Python NumPy array that contains six data points defined as follows:
data = [10, 20, 30, 40, 50, 60]
You must generate the following output by using the k-fold algorithm implantation in the Python Scikit-learn machine learning library:
train: [10 40 50 60], test: [20 30]
train: [20 30 40 60], test: [10 50]
train: [10 20 30 50], test: [40 60]
You need to implement a cross-validation to generate the output.
How should you complete the code segment? To answer, select the appropriate code segment in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: k-fold
Box 2: 3
K-Folds cross-validator provides train/test indices to split data in train/test sets. Split dataset into k consecutive folds (without shuffling by default).
The parameter n_splits ( int, default=3) is the number of folds. Must be at least 2.
Box 3: data
Example: Example:
>>>
>>> from sklearn.model_selection import KFold
>>> X = np.array([[1, 2], [3, 4], [1, 2], [3, 4]])
>>> y = np.array([1, 2, 3, 4])
>>> kf = KFold(n_splits=2)
>>> kf.get_n_splits(X)
2
>>> print(kf)
KFold(n_splits=2, random_state=None, shuffle=False)
>>> for train_index, test_index in kf.split(X):
print("TRAIN:", train_index, "TEST:", test_index)
X_train, X_test = X[train_index], X[test_index]
y_train, y_test = y[train_index], y[test_index]
TRAIN: [2 3] TEST: [0 1]
TRAIN: [0 1] TEST: [2 3]
References:
https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html

NEW QUESTION: 3
John Johnson is trying to leach Jane Smith at net Cisco Untied IP phone by dialing net directory URI, but the call fails. What are two possible reasons for the call failure? (Choose two) Refer to the exhibit.

A. The dialed directory URI and the provisioned directory URI do not match.
B. The CSS that is used by John's Cisco Jabber device does not contain the partition to teach Jane's endpoint.
C. The directory URI should not be entered under the user configuration page Instead, the directory URI should be entered directly into Jane's line configuration page.
D. Cisco Unified Communications Manager is blocking the call.
E. Cisco Unified Communions Manager matched the host portion of Jane's URI to a SIP trunk and fouled the call to another cluster.
F. Jane's endpoint does not support blended addressing.
Answer: D,F