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NEW QUESTION: 1
Which test confirms Filenet P8 Process Engine functionality?
A. In Workplace or WorkplaceXT, you can browse an object store.
B. In Workplace or WorkplaceXT, you can open the Search Designer.
C. A connection point can be configured in Filenet Enterprise Manager.
D. In Workplace or WorkplaceXT, you can access a P8 user's Inbox.
Answer: D

NEW QUESTION: 2
会社のコンピュータが犯罪を犯すために使用されました。 システムを押収し、さらなる分析のために取り外した。 次のうちどれがコンピュータシステムをつかむときにケーブルと接続にラベルを付ける目的ですか?
A. 監護の連鎖を維持する
B. 接続されているケーブルのモデル、製造元、および種類を文書化する
C. 削除された時点のシステム構成をキャプチャする
D. コンピュータシステムとの通信を攻撃から遮断する
Answer: C

NEW QUESTION: 3
During a server audit, a security administrator does not notice abnormal activity. However, a network security analyst notices connections to unauthorized ports from outside the corporate network. Using specialized tools, the network security analyst also notices hidden processes running. Which of the following has MOST likely been installed on the server?
A. Logic bomb
B. Rootkit
C. SPIM
D. Backdoor
Answer: B
Explanation:
A rootkit is a collection of tools (programs) that enable administrator-level access to a computer or computer network. Typically, a cracker installs a rootkit on a computer after first obtaining user-level access, either by exploiting a known vulnerability or cracking a password. Once the rootkit is installed, it allows the attacker to mask intrusion and gain root or privileged access to the computer and, possibly, other machines on the network. A rootkit may consist of spyware and other programs that: monitor traffic and keystrokes; create a "backdoor" into the system for the hacker's use; alter log files; attack other machines on the network; and alter existing system tools to escape detection. The presence of a rootkit on a network was first documented in the early 1990s. At that time, Sun and Linux operating systems were the primary targets for a hacker looking to install a rootkit. Today, rootkits are available for a number of operating systems, including Windows, and are increasingly difficult to detect on any network.

NEW QUESTION: 4
사진 공유 및 출판 회사는 매일 10,000 ~ 150,000 개의 이미지를 받습니다. 회사는 여러 공급 업체 및 서비스에 등록 된 사용자로부터 이미지를받습니다. 이 회사는 AWS로 이전하고 있으며 Amazon Rekognition을 사용하여 데이터를 추가하여 기존 메타 데이터를 보강하려고 합니다.
다음은 추가 데이터의 예입니다.

클라우드 마이그레이션 프로그램의 일환으로이 회사는 기존 이미지 데이터를 Amazon S3에 업로드하고 사용자에게 이미지를 Amazon S3에 직접 업로드하도록 지시했습니다.
이러한 요구 사항을 지원하기 위해 솔루션 아키텍트는 어떻게 해야 합니까?
A. Amazon Rekognition을 사용하여 추가 메타 데이터를 생성하려면 S3 이벤트 알림을 기반으로 AWS Lambda를 트리거하십시오. Amazon DynamoDB를 사용하여 메타 데이터를 저장하고 Amazon ES를 사용하여 인덱스를 생성하십시오. 웹 프론트 엔드를 사용하여 Amazon ES가 지원하는 검색 기능을 제공하십시오.
B. Amazon Kinesis를 사용하여 S3 이벤트를 기반으로 데이터를 스트리밍하십시오. Amazon EC2에서 실행되는 애플리케이션을 사용하여 이미지에서 메타 데이터를 추출하십시오. 그런 다음 Amazon DynamoDB 및 Amazon CloudSearch에 데이터를 저장하고 인덱스를 생성하십시오. CloudSearch가 지원하는 검색 기능이있는 웹 프런트 엔드를 사용하십시오.
C. S3 이벤트 알림을 기반으로 AWS Lambda를 트리거하여 Amazon Rekognition을 사용하여 추가 메타 데이터를 생성합니다. Amazon RDS MySQL Multi-AZ를 사용하여 메타 데이터 정보를 저장하고 Lambda를 사용하여 인덱스를 생성하십시오. Lambda가 지원하는 검색 기능이 있는 웹 프런트 엔드를 사용하십시오.
D. S3 이벤트 알림을 기반으로 Amazon SQS 대기열을 시작합니다. 그런 다음 Amazon SQS가 메타 데이터 정보를 Amazon DynamoDB로 보내도록 합니다. Amazon EC2에서 실행되는 애플리케이션은 API를 사용하여 Amazon Rekognition에서 데이터를 추출하고 DynamoDB 및 Amazon ES에 데이터를 추가합니다. 웹 프론트 엔드를 사용하여 Amazon ES가 지원하는 검색 기능을 제공하십시오.
Answer: C