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NEW QUESTION: 1
VPC의 권한이없는 Amazon EC2 인스턴스가 VPC의 다른 인스턴스에 대해 네트워크 포트 스캔을 수행 할 때 조직에 경고를 표시하려고 합니다. 보안 팀이 AWS Marketplace에서 사전 승인 된 타사 스캐너를 사용하여 별도의 계정으로 자체 내부 테스트를 수행하면 보안 팀은 테스트 활동에 대한 Amazon CloudWatch로부터 여러 Amazon GuardDuty 이벤트를 받습니다.
보안 팀은 어떻게 권한 없는 보안 테스트에 대한 경고를 표시하지 않으면 서 무단 활동에 대한 경고를 계속받을 수 있습니까?
A. 보안 팀이 사용하는 EC2 인스턴스에 Amazon Inspector 에이전트를 설치하십시오.
B. 보안 팀 EC2 인스턴스의 탄력적 IP 주소를 Amazon GuardDuty의 신뢰할 수 있는 IP 목록에 추가하십시오.
C. AWS CloudTrail에서 필터를 사용하여 보안 팀 EC2 인스턴스의 IP 주소를 제외하십시오.
D. 보안 팀의 EC2 인스턴스에 Amazon GuardDuty API 작업을 호출 할 권한이 있는 역할을 부여하십시오.
Answer: B
Explanation:
Trusted IP lists consist of IP addresses that you have whitelisted for secure communication with your AWS infrastructure and applications. GuardDuty does not generate findings for IP addresses on trusted IP lists. At any given time, you can have only one uploaded trusted IP list per AWS account per region. Threat lists consist of known malicious IP addresses. GuardDuty generates findings based on threat lists. At any given time, you can have up to six uploaded threat lists per AWS account per region. https://docs.aws.amazon.com/guardduty/latest/ug/guardduty_upload_lists.html

NEW QUESTION: 2
You manage a process that performs analysis of daily web traffic logs on an HDInsight cluster. Each of the
250 web servers generates approximately 10megabytes (MB) of log data each day. All log data is stored in a single folder in Microsoft Azure Data Lake Storage Gen 2.
You need to improve the performance of the process.
Which two changes should you make? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Move the log files into folders so that each day's logs are in their own folder
B. Increase the number of worker nodes
C. Increase the value of the hive.tez.containerize parameter
D. Combine the daily log files for all servers into one file
E. Increase the value of the mapreduce map memory parameter
Answer: A,D
Explanation:
Explanation
A: Typically, analytics engines such as HDInsight and Azure Data Lake Analytics has a per-five overhead. If you store your data as many small files, this can negatively affect performance. In general, organize your data into larger sized files for better performance (256MB to 100GB in size). Some engines and applications might have trouble efficiently processing files that are greater than 100GB in size.
C: For Hive workloads, partition pruning of time-series data can help some queries read only a subset of the data which improves performance.
Those pipelines that ingest time-series data, often place their files with a very structured naming for files and folders. Below is a very common example we see for data is structured by date:
\DataSet\YYYY\MM\DD\datafile_YYYY_MM_DD.tsv
Notice that the datetime information appears both as folders and in the filename.
Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-performance-tuning-guidance

NEW QUESTION: 3
다음 중 타사 ID 서비스의 통합으로 인해 발생하는 보안 문제를 해결하기 위해 확장 가능한 것은 무엇입니까?
A. 역할 기반 액세스 제어 (RBAC)
B. 엔터프라이즈 보안 아키텍처
C. 엔터프라이즈 보안 절차
D. 필수 액세스 제어 (MAC)
Answer: A

NEW QUESTION: 4
OSPF BFD helps fast detect neighbor down events. OSPF BFD can be in which of the following states?
A. Established
B. Up
C. Attempt
D. Init
E. Down
F. 2-way
Answer: B,D,E