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NEW QUESTION: 1
Researchers have recently developed a tool that imitates a 14-year-old on the Internet.
The authors developed a "Chatter Bot" that mimics conversation and treats the dissemination of personal information as the goal to determine if the other participant in the conversation is a pedophile. The tool engages people in conversation and uses artificial intelligence to check for inappropriate questions by the unsuspecting human. If the human types too many suggestive responses to the "artificial" 14-year-old, the tool then notifies the police. From a legal perspective, what is the greatest legal challenge to the use of this tool?
A. Enticement
B. Entrapment
C. Freedom of Speech
D. Violation of Privacy
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Entrapment occurs when a law enforcement agent or someone acting as an "agent" of law enforcement induces a person to commit a crime not contemplated by the person. A person who makes a knowingly false representation designed to induce the belief that the conduct is not prohibited, or employs methods of persuasion or inducement which create a substantial risk that such an offense will be committed by persons other than those who are ready to commit it. Basically, the Chatter Bot could possibly induce a person to engage in conduct that the person would not otherwise have engaged in if the chatterbot did not
"feed" the information to the person. Entrapment does not prove that a person intended to commit a crime.
It only proves that a person was successfully tricked into committing a crime.
Incorrect Answers:
A, D: Violation of Privacy and Freedom of Speech do not apply in the commission of the crime.
B: Enticement is very easily confused with entrapment.
Enticement is the act of coaxing or luring someone do something (but not necessarily a criminal act).
Enticement is legal and ethical. A good example of Enticement would be the use of a HoneyPot. If a person is lured into a honey pot because there are open ports that may be probed, that is enticement. The person who proceeds by poking into those open ports is enticed and proceeds to commit a crime based on their own actions.
However, if a person is lured with a false promise of an illegal bounty that awaits them if they follow a link to a honeypot, (for example, a link that promises free movie downloads), that is entrapment because the lure may be so overwhelming that even an innocent person may be tempted to proceed in the commission of the illegal act.
References: Black's Law Dictionary
and Shon Harris - All-In-One CISSP Exam Guide - Sixth Edition - page 1057

NEW QUESTION: 2
OSPF protocol on the routing calculation process, the following is the correct order
a.Each router topology according to their generation around the LSA
b.The collection of all the LSA route calculation to generate the minimum spanning tree network
c.send the LSA to all other routers in the network, while collecting all of the other router LSA generated
d.generate link state database LSDB
A. a-b-c-d
B. a-c-d-b
C. a-c-b-d
D. d-a-c-b
Answer: B

NEW QUESTION: 3
You have an Exchange Server 2013 organization that contains two servers named EX1 and EX2.
EX1 and EX2 are members of a database availability group (DAG) named DAG1. DAG1 contains four mailbox databases. All databases are active on EX1 and replicate to EX2.
You start an unplanned maintenance on EX1 and shut down EX1.
You discover that the databases do not mount on EX2.
You restart EX1 and the databases mount automatically on EX1.
You need to identify what prevents the databases from switching over successfully to EX2.
Which cmdlet should you run?
A. Test-ReplicationHealth
B. Get-AvailabilityReportOutage
C. Test-OutlookConnectivity
D. Test-ServiceHealth
Answer: A

NEW QUESTION: 4
데이터 과학자는 고속 실시간 스트리밍 데이터를위한 서버리스 수집 및 분석 솔루션을 만들어야 합니다.
수집 프로세스는 JSON에서 들어오는 레코드를 버퍼링하고 데이터 손실없이 쿼리에 최적화 된 열 형식으로 변환해야 합니다. 출력 데이터 저장소는 가용성이 높아야 하며 분석가는 데이터에 대해 SQL 쿼리를 실행하고 기존 비즈니스 인텔리전스 대시 보드에 연결할 수 있어야 합니다.
데이터 과학자는 요구 사항을 충족하기 위해 어떤 솔루션을 구축해야 합니까?
A. AWS Glue 데이터 카탈로그에서 수신 데이터 형식의 스키마를 생성합니다. Amazon Kinesis Data Firehose 전송 스트림을 사용하여 데이터를 스트리밍하고 Amazon S3로 전송하기 전에 AWS Glue 데이터 카탈로그를 사용하여 데이터를 Apache Parquet 또는 ORC 형식으로 변환합니다. 분석가가 Amazon Athena를 사용하여 Amazon S3에서 직접 데이터를 쿼리하고 Athena JDBC (Java Database Connectivity) 커넥터를 사용하여 BI 도구에 연결하도록 합니다.
B. 각 JSON 레코드를 Amazon S3의 스테이징 위치에 씁니다. S3 Put 이벤트를 사용하여 데이터를 Apache Parquet 또는 ORC 형식으로 변환하고 Amazon S3의 처리 된 데이터 위치에 데이터를 쓰는 AWS Lambda 함수를 트리거합니다. 분석가가 Amazon Athena를 사용하여 Amazon S3에서 직접 데이터를 쿼리하고 Athena JDBC (Java Database Connectivity) 커넥터를 사용하여 BI 도구에 연결하도록 합니다.
C. 각 JSON 레코드를 Amazon S3의 스테이징 위치에 씁니다. S3 Put 이벤트를 사용하여 데이터를 Apache Parquet 또는 ORC 형식으로 변환하고 Amazon RDS PostgreSQL 데이터베이스에 삽입하는 AWS Lambda 함수를 트리거합니다. 분석가가 RDS 데이터베이스에서 대시 보드를 쿼리하고 실행하도록 합니다.
D. Amazon Kinesis Data Analytics를 사용하여 스트리밍 데이터를 수집하고 실시간 SQL 쿼리를 수행하여 Amazon S3로 전송하기 전에 레코드를 Apache Parquet로 변환합니다. 분석가가 Amazon Athena를 사용하여 Amazon S3에서 직접 데이터를 쿼리하고 Athena JDBC (Java Database Connectivity) 커넥터를 사용하여 BI 도구에 연결하도록 합니다.
Answer: A

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