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NEW QUESTION: 1
회사에 다음 아키텍처가 있는 Amazon EC2 배포가 있습니다.
* 8 개의 m4.xlarge 인스턴스가 포함 된 애플리케이션 계층
* 클래식로드 밸런서
* 영구 데이터 저장소로서의 Amazon S3
EC2 인스턴스 중 하나가 실패하면 사용자는 요청 처리가 매우 느리다고 보고합니다. 솔루션 설계자는 시스템 안정성을 극대화하기 위해 설계 변경을 권장해야 합니다. 솔루션은 비용을 최소화 해야 합니다.
솔루션 아키텍트는 무엇을 권장해야 합니까?
A. AWS Lambda 함수를 사용하여 기존 EC2 인스턴스를 서버리스 배포로 마이그레이션
B. Classic Load Balancer를 Application Load Balancer로 변경
C. Auto Scaling 그룹에서 애플리케이션 계층을 m4.large 인스턴스로 교체
D. 애플리케이션 계층을 4 개의 m4.2xlarge 인스턴스로 교체
Answer: B
Explanation:
Explanation
By default, connection draining is enabled for Application Load Balancers but must be enabled for Classic Load Balancers. When Connection Draining is enabled and configured, the process of deregistering an instance from an Elastic Load Balancer gains an additional step. For the duration of the configured timeout, the load balancer will allow existing, in-flight requests made to an instance to complete, but it will not send any new requests to the instance. During this time, the API will report the status of the instance as InService, along with a message stating that "Instance deregistration currently in progress." Once the timeout is reached, any remaining connections will be forcibly closed.
https://docs.aws.amazon.com/autoscaling/ec2/userguide/attach-load-balancer-asg.htmlhttps://aws.amazon.com/b

NEW QUESTION: 2
Your network contains an Active Directory forest named contoso.com. The forest contains an Active Directory Federation Services (AD FS) farm.
You install Windows Server 2016 on a server named Server2.
You need to configure Server2 as a node in the federation server farm.
Which cmdlets should you run? To answer, select the appropriate options in the answer area.

Answer:
Explanation:

NEW QUESTION: 3
You are a data scientist working for a bank and have used Azure ML to train and register a machine learning model that predicts whether a customer is likely to repay a loan.
You want to understand how your model is making selections and must be sure that the model does not violate government regulations such as denying loans based on where an applicant lives.
You need to determine the extent to which each feature in the customer data is influencing predictions.
What should you do?
A. Add tags to the model registration indicating the names of the features in the training dataset.
B. Score the model against some test data with known label values and use the results to calculate a confusion matrix.
C. Use the interpretability package to generate an explainer for the model.
D. Enable data drift monitoring for the model and its training dataset.
E. Use the Hyperdrive library to test the model with multiple hyperparameter values.
Answer: C
Explanation:
When you compute model explanations and visualize them, you're not limited to an existing model explanation for an automated ML model. You can also get an explanation for your model with different test data. The steps in this section show you how to compute and visualize engineered feature importance based on your test data.
Incorrect Answers:
A: In the context of machine learning, data drift is the change in model input data that leads to model performance degradation. It is one of the top reasons where model accuracy degrades over time, thus monitoring data drift helps detect model performance issues.
B: A confusion matrix is used to describe the performance of a classification model. Each row displays the instances of the true, or actual class in your dataset, and each column represents the instances of the class that was predicted by the model.
C: Hyperparameters are adjustable parameters you choose for model training that guide the training process. The HyperDrive package helps you automate choosing these parameters.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-machine-learning-interpretability-automl

NEW QUESTION: 4
Your company uses Office 365 Small Business.
You need to configure the Microsoft Exchange ActiveSync password policy and control the display of presence information.
Which two service categories should you configure on the service settings page of the Office 365 admin portal? To answer, select the appropriate service categories in the answer area.

Answer:
Explanation:

Explanation

Microsoft Exchange ActiveSync is used to enable mobile phone users to access their email, calendar, contacts, and tasks in an Exchange 2013 or Exchange Online environment. Microsoft Exchange ActiveSync password policy is configured in the Mobile Access section in the Office 365 Service Settings page.
Presence information in Lync Server enables users to approach colleagues at the right time with the right form of communication, to lead to a more productive work environment. A user's presence is a collection of information that includes availability, willingness to communicate, additional notes (such as location and status), and how the user can be contacted. Presence is enhanced in Lync Server with pictures, location information, and a rich set of presence states that includes "Off Work," "Do Not Disturb," and "Be Right Back," in addition to basic states such as "Available," "Busy," and "In a Conference." To configure the display of presence information, we need to select the "IM, Meetings and Conferencing" option.
References:
https://technet.microsoft.com/en-us/library/gg417162(v=ocs.15).aspx

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