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NEW QUESTION: 1
회사는 현재 Amazon RDS MySQL 데이터베이스를 기반으로 하는 웹 애플리케이션을 운영하고 있습니다. 매일 실행되고 암호화되지 않은 자동 백업이 있습니다. 보안 감사를 위해서는 향후 백업을 암호화하고 암호화되지 않은 백업을 폐기해야 합니다. 이전 백업을 삭제하기 전에 백업 향후 백업을 위해 암호화를 활성화하기 위해 수행해야 할 작업 ''
A. 데이터베이스 스냅 샷 생성 암호화 된 스냅 샷에 복사 암호화 된 스냅 샷에서 데이터베이스 복원
B. 백업이 저장된 Amazon S3 버킷에 대한 기본 암호화를 활성화합니다
C. MySQL 용 RDS에서 암호화 된 읽기 전용 복제본 사용 암호화 된 읽기 전용 복제본을 기본으로 승격 원래 데이터베이스 인스턴스 제거
D. 데이터베이스 구성의 백업 섹션을 수정하여 암호화 사용 확인란을 토글하십시오.
Answer: A
Explanation:
Explanation
However, because you can encrypt a copy of an unencrypted DB snapshot, you can effectively add encryption to an unencrypted DB instance. That is, you can create a snapshot of your DB instance, and then create an encrypted copy of that snapshot. You can then restore a DB instance from the encrypted snapshot, and thus you have an encrypted copy of your original DB instance DB instances that are encrypted can't be modified to disable encryption.
You can't have an encrypted read replica of an unencrypted DB instance or an unencrypted read replica of an encrypted DB instance.
Encrypted read replicas must be encrypted with the same key as the source DB instance when both are in the same AWS Region.
You can't restore an unencrypted backup or snapshot to an encrypted DB instance.
To copy an encrypted snapshot from one AWS Region to another, you must specify the KMS key identifier of the destination AWS Region. This is because KMS encryption keys are specific to the AWS Region that they are created in.
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/ ryption.html

NEW QUESTION: 2
You need to implement a model development strategy to determine a user's tendency to respond to an ad.
Which technique should you use?
A. Use a Split Rows module to partition the data based on distance travelled to the event.
B. Use a Split Rows module to partition the data based on centroid distance.
C. Use a Relative Expression Split module to partition the data based on distance travelled to the event.
D. Use a Relative Expression Split module to partition the data based on centroid distance.
Answer: D
Explanation:
Explanation
Split Data partitions the rows of a dataset into two distinct sets.
The Relative Expression Split option in the Split Data module of Azure Machine Learning Studio is helpful when you need to divide a dataset into training and testing datasets using a numerical expression.
Relative Expression Split: Use this option whenever you want to apply a condition to a number column. The number could be a date/time field, a column containing age or dollar amounts, or even a percentage. For example, you might want to divide your data set depending on the cost of the items, group people by age ranges, or separate data by a calendar date.
Scenario:
Local market segmentation models will be applied before determining a user's propensity to respond to an advertisement.
The distribution of features across training and production data are not consistent References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/split-data

NEW QUESTION: 3
You have five .NET Core applications that run on 10 Azure virtual machines in the same subscription.
You need to recommend a solution to ensure that the applications can authenticate by using the same Azure Active Directory (Azure AD) identity. The solution must meet the following requirements:
* Ensure that the applications can authenticate only when running on the 10 virtual machines.
* Minimize administrative effort.
What should you include in the recommendation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

NEW QUESTION: 4
여러 AWS 리전의 사용자에게 자주 액세스하는 데이터에 대해 가장 빠른 애플리케이션 응답 시간을 제공하는 솔루션은 무엇입니까?
A. 여러 지역의 AWS CloudFormation
B. AWS Direct Connect를 통한 가상 프라이빗 게이트웨이
C. Amazon CloudFront에서 엣지 로케이션으로
D. 여러 가용 영역에 걸친 AWS CloudTrail
Answer: C
Explanation:
You can deliver content and decrease end-user latency of your web application using Amazon CloudFront. CloudFront speeds up content delivery by leveraging its global network of data centers, known as edge locations, to reduce delivery time by caching your content close to your end users. CloudFront fetches your content from an origin, such as an Amazon S3 bucket, an Amazon EC2 instance, an Amazon Elastic Load Balancing load balancer or your own web server, when it's not already in an edge location. CloudFront can be used to deliver your entire website or application, including dynamic, static, streaming, and interactive content.