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NEW QUESTION: 1
회사는 Amazon EC2 인스턴스 실행을 정보 보안 부서에서 사전 승인 한 AMI에서 시작된 인스턴스로 제한하는 것을 선호합니다. 개발 팀에는 솔루션에 의해 중단 될 수 없는 민첩한 지속적인 통합 및 배포 프로세스가 있습니다.
개발 프로세스에 가장 적은 영향을 미치면서 필요한 제어를 시행하는 방법은 무엇입니까? (2 개를 선택하십시오.)
A. 예약 된 AWS Lambda 함수를 사용하여 VPC (Virtual Private Cloud) 내에서 실행중인 인스턴스 목록을 스캔하고 승인되지 않은 AMI를 기반으로 하는 인스턴스가 있는지 확인합니다. SNS 주제에 메시지를 게시하여 정보 보안에 이를 알리고 인스턴스를 종료하십시오.
B. Amazon Inspector 에이전트가 실행중인 EC2 인스턴스가 사전 승인 된 AMI를 기반으로하는지 확인하려면 사용자 지정 평가 템플릿으로 Amazon Inspector에서 정기 스캔을 사용하십시오. 그렇지 않은 경우 인스턴스를 종료하고이 정보가 발생했음을 이메일로 정보 보안에 알리십시오.
C. AWS Config 규칙을 사용하여 승인되지 않은 AMI를 기반으로 EC2 인스턴스의 시작을 파악하고, AWS Lambda 함수를 트리거하여 인스턴스를 자동으로 종료하고, Amazon SNS 주제에 메시지를 게시하여 이 문제가 발생했음을 알립니다.
D. 내부 티켓팅 시스템의 알림을 통해 작업 패키지가 제공되는 중앙 집중식 DevOps 팀을 사용하여 EC2 인스턴스 만 시작할 수 있습니다. 사용자는 EC2 인스턴스가 승인 된 AMI에서만 시작되도록 수동 정보 보안 승인 단계가 있는 이 티켓팅 도구를 사용하여 리소스를 요청합니다.
E. IAM 정책을 사용하여 정보 보안에 의해 특정 방식으로 태그가 지정된 것과 같이 사전 승인 된 특정 AMI 세트를 기반으로 사용자 또는 기타 자동화 된 엔티티가 EC2 인스턴스를 시작하는 기능을 제한하십시오.
Answer: C,E
Explanation:
https://docs.aws.amazon.com/config/latest/developerguide/evaluate-config_develop-rules_getting-started.html

NEW QUESTION: 2
Your company releases new features with high frequency while demanding high application availability. As part of the application's A/B testing, logs from each updated Amazon EC2 instance of the application need to be analyzed in near real-time, to ensure that the application is working flawlessly after each deployment. If the logs show any anomalous behavior, then the application version of the instance is changed to a more stable one. Which of the following methods should you use for shipping and analyzing the logs in a highly available manner?
A. Ship the logs to Amazon S3 for durability and use Amazon EMR to analyze the logs in a batch manner each hour.
B. Ship the logs to Amazon CloudWatch Logs and use Amazon EMR to analyze the logs in a batch manner each hour.
C. Ship the logs to a large Amazon EC2 instance and analyze the logs in a live manner.
D. Ship the logs to an Amazon Kinesis stream and have the consumers analyze the logs in a live manner.
Answer: D
Explanation:
Explanation
Answer - C
You can use Kinesis Streams for rapid and continuous data intake and aggregation. The type of data used includes IT infrastructure log data, application logs, social media, market data feeds, and web clickstream data. Because the response time for the data intake and processing is in real time, the processing is typically lightweight.
The following are typical scenarios for using Kinesis Streams:
* Accelerated log and data feed intake and processing - You can have producers push data directly into a stream. For example, push system and application logs and they'll be available for processing in seconds. This prevents the log data from being lost if the front end or application server fails. Kinesis Streams provides accelerated data feed intake because you don't batch the data on the servers before you submit it for intake.
* Real-time metrics and reporting - You can use data collected into Kinesis Streams for simple data analysis and reporting in real time. For example, your data-processing application can work on metrics and reporting for system and application logs as the data is streaming in, rather than wait to receive batches of data.
For more information on Amazon Kinesis and SNS please refer to the below link:
* http://docs.aws.a
mazon.com/streams/latest/dev/introduction.html

NEW QUESTION: 3
Your network requires that you separate traffic between various parts of your organization and your organization has decided to implement this functionality using VLANs.
Which statement describes what VLAN functionality does to a physical switch?
A. Divides the switch into multiple virtual segments
B. Divides the switch into multiple logical routers
C. Divides the switch into multiple logical switches
D. Divides the switch into multiple security zones
Answer: D