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NEW QUESTION: 1
AWS에서 방대한 양의 네트워크 인프라를 설정했으며 이제이 모든 것을 모니터링하는 것을 고려해야 합니다. CloudWatch가 사용자의 요구에 가장 적합하다고 결정하지만 가격 구조와 CloudWatch의 한계를 확신 할 수 없습니다. CloudWatch의 한계와 관련하여 다음 중 어느 것이 사실입니까?
A. 매달 고객 당 100 개의 CloudWatch 지표, 100 개의 경보, 10,000,000 개의 API 요청 및 10,000 개의 Amazon SNS 이메일 알림이 무료로 제공됩니다.
B. 매달 고객 당 10 개의 CloudWatch 지표, 10 개의 경보, 1,000 개의 API 요청 및 100 개의 Amazon SNS 이메일 알림이 무료로 제공됩니다.
C. 매달 고객 당 10 개의 CloudWatch 지표, 10 개의 경보, 1,000,000 개의 API 요청 및 1,000 개의 Amazon SNS 이메일 알림이 무료로 제공됩니다.
D. 매달 고객 당 100 개의 CloudWatch 지표, 100 개의 경보, 1,000,000 개의 API 요청 및 1,000 개의 Amazon SNS 이메일 알림이 무료로 제공됩니다.
Answer: C
Explanation:
설명:
Amazon CloudWatch는 Amazon Web Services (AWS) 리소스와 AWS에서 실행하는 애플리케이션을 실시간으로 모니터링합니다. CloudWatch를 사용하여 리소스 및 애플리케이션에 대해 측정하려는 변수 인 지표를 수집하고 추적 할 수 있습니다.
CloudWatch에는 다음과 같은 제한이 있습니다.
매달 고객 당 10 개의 CloudWatch 지표, 10 개의 경보, 1,000,000 개의 API 요청 및 1,000 개의 Amazon SNS 이메일 알림이 무료로 제공됩니다.
측정 항목 당 최대 10 개의 측정 기준을 할당 할 수 있습니다.
AWS 계정 당 최대 5000 개의 경보를 생성 할 수 있습니다.
메트릭 데이터는 2 주 동안 유지됩니다.
PutMetricData 요청의 크기는 HTTP GET 요청의 경우 8KB로, HTTP POST 요청의 경우 40KB로 제한됩니다.
하나의 PutMetricData 요청에 최대 20 개의 MetricDatum 항목을 포함 할 수 있습니다. MetricDatum은 단일 값 또는 많은 값을 나타내는 StatisticSet을 포함 할 수 있습니다.
http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/cloudwatch_limits.html
NEW QUESTION: 2
A. Option C
B. Option D
C. Option A
D. Option B
Answer: A
NEW QUESTION: 3
You need to define a modeling strategy for ad response.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Implement a K-Means Clustering model
Step 2: Use the cluster as a feature in a Decision jungle model.
Decision jungles are non-parametric models, which can represent non-linear decision boundaries.
Step 3: Use the raw score as a feature in a Score Matchbox Recommender model The goal of creating a recommendation system is to recommend one or more "items" to "users" of the system. Examples of an item could be a movie, restaurant, book, or song. A user could be a person, group of persons, or other entity with item preferences.
Scenario:
Ad response rated declined.
Ad response models must be trained at the beginning of each event and applied during the sporting event.
Market segmentation models must optimize for similar ad response history.
Ad response models must support non-linear boundaries of features.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/multiclass-decision-jungle
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/score-matchbox-recommender
NEW QUESTION: 4
A. Option C
B. Option D
C. Option A
D. Option B
Answer: A
Explanation:
You can also perform a restore operation by deploying a new vCenter Server Appliance and using the vCenter Server Appliance management interface to copy the data from the file-based backup to the new appliance.