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NEW QUESTION: 1
유용한 비즈니스 정보를 수집하기 위해 상업 쓰레기를 뒤적이는 기술은 다음과 같습니다.
A. 시스템 다이빙
B. 정보 다이빙
C. 선택 사항이 없습니다.
D. 신원 확인 다이빙
E. 정보 다이빙
F. 프로그램 다이빙
Answer: B
Explanation:
설명:
정보 다이빙의 형태로 다이빙 스 터 다이빙은 파일, 편지, 메모, 암호 등과 같은 유용한 정보를 찾기 위해 상업 쓰레기를 뒤적 거리는 연습을 설명합니다.
NEW QUESTION: 2
An analyst finds that unpatched servers have undetected vulnerabilities because the vulnerability scanner does not have the latest set of signatures. Management directed the security team to have personnel update the scanners with the latest signatures at least 24 hours before conducting any scans, but the outcome is unchanged. Which of the following is the BEST logical control to address the failure?
A. Manually validate that the existing update is being performed.
B. Configure vulnerability scans to run in credentialed mode.
C. Configure a script to automatically update the scanning tool.
D. Test vulnerability remediation in a sandbox before deploying.
Answer: C
NEW QUESTION: 3
제조 회사는 기계 장비에 예측 유지 보수를 구현하려고 합니다. 회사는 실시간으로 AWS로 데이터를 전송하는 수천 개의 loT 센서를 설치합니다. 솔루션 설계자는 각 기계 자산에 대해 순서대로 이벤트를 수신하는 솔루션을 구현해야 합니다. 나중에 추가 처리를 위해 데이터가 저장되도록 하십시오. 가장 효율적인 솔루션은 무엇입니까?
A. 각 장비 자산별로 파티션이 있는 실시간 이벤트에 Amazon Kinesis Data Streams 사용 Amazon Kinesis Data Firehose를 사용하여 Amazon S3에 데이터 저장
B. 각 장비 자산 당 하나의 대기열이있는 실시간 이벤트에 Amazon SQS 표준 대기열 사용 SQS 대기열에서 AWS Lambda 함수를 트리거하여 데이터를 Amazon S3에 저장
C. 각 장비 자산에 샤드가 있는 실시간 이벤트에 Amazon Kinesis Data Streams 사용 Amazon Kinesis Data Firehose를 사용하여 Amazon EBS에 데이터 저장
D. 각 장비 자산 당 하나의 대기열이 있는 실시간 이벤트에 Amazon SQS FIFO 대기열 사용 SQS 대기열에 대한 AWS Lambda 함수를 트리거하여 데이터를 Amazon EFS에 저장
Answer: A
Explanation:
Explanation
Amazon SQS Introduces FIFO Queues with Exactly-Once Processing and Lower Prices for Standard Queues You can now use Amazon Simple Queue Service (SQS) for applications that require messages to be processed in a strict sequence and exactly once using First-in, First-out (FIFO) queues. FIFO queues are designed to ensure that the order in which messages are sent and received is strictly preserved and that each message is processed exactly once.
Amazon SQS is a reliable and highly-scalable managed message queue service for storing messages in transit between application components. FIFO queues complement the existing Amazon SQS standard queues, which offer high throughput, best-effort ordering, and at-least-once delivery. FIFO queues have essentially the same features as standard queues, but provide the added benefits of supporting ordering and exactly-once processing. FIFO queues provide additional features that help prevent unintentional duplicates from being sent by message producers or from being received by message consumers. Additionally, message groups allow multiple separate ordered message streams within the same queue.
https://aws.amazon.com/about-aws/whats-new/2016/11/amazon-sqs-introduces-fifo-queues-with-exactly-once-pr
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