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NEW QUESTION: 1
한 회사의 보안 담당자가 AWS 계정 루트 사용자 로그인의 위험에 대해 우려하고 있으며 계정 루트 사용자 로그인시 거의 실시간 알림을 위한 알림 솔루션을 구현하도록 보안 엔지니어를 지정했습니다.
보안 엔지니어는 이러한 요구 사항을 어떻게 충족해야 합니까?
A. 보안 팀 계정의 Amazon S3 버킷에 AWS CloudTrail 로그 저장 계정 루트 사용자 로그인을 위한 보안 엔지니어의 로깅 솔루션을 사용하여 CloudTrail 로그 처리 계정 루트 사용자 로그인 이벤트 발생시 보안 팀에 Amazon SNS 알림 전송
B. 스크립트를 실행하는 크론 작업을 생성하고 AWS 1AM 보안 자격 증명을 다운로드 합니다. 계정 루트 사용자 로그인을 위해 파일을 구문 분석하고 보안 팀 배포에 이메일을 보냅니다.
1 위
C. Amazon CloudWatch Events를 통해 AWS CloudTrail 로그를 실행하여 계정 roo4 사용자 로그인을 감지하고 AWS Lambda 함수를 트리거하여 보안 팀의 배포 목록에 Amazon SNS 알림을 보냅니다.
D. 보안 팀 계정의 Amazon S3 버킷에 VPC 쟁기 로그를 저장하고 계정 루트 사용자 로그인을 위한 로깅 솔루션으로 VPC 흐름 로그를 처리합니다. 계정 루트 사용자 로그인 이벤트가 발생하면 보안 팀에 Amazon SNS 알림을 보냅니다.
Answer: C
NEW QUESTION: 2
A. SHOW GLOBAL STATUS LIKE 'Diagnostics'
B. GET DIAGNOSTICS CONDITION 1 @errno=MYSQL_ERRNO, @msg =MESSAGE_TEXT;
SELECT @errno, @msg;
C. SELECT ERRNO, MESSAGE_TEXT FROM INFORMATION_SCHEMA.DIAGNOSTICS_AREA WHERE CONDITION=1
D. SHOW WARNINGS
Answer: B,D
Explanation:
Reference:
http://dev.mysql.com/doc/refman/5.6/en/diagnostics-area.html
NEW QUESTION: 3
Robert has a form page, Page 5, on the EMP table. He has defined two validations.
Validation 1 checks that P5_MGR is not null.
Validation 2 checks that the employee selected in P5_MGR has a job of PRESIDENT or MANAGER.
How can Robert prevent the employee job validation (Validation 2) from firing when the P5_MGR is NOT NULL validation (Validation 1) has failed?
A. Set stop processing to Yea for the P5_MGR is not null validation (Validation 1).
B. Ensure Validation 1 is listed before Validation 2.
C. Set Always Execute to No for the P5_MGR employee Job validation (Validation 2).
D. Add a server-side condition of P5_MGR is not null to the employee Job validation (Validation 2).
Answer: D
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are implementing a batch processing solution by using Azure HDInsight.
You plan to import 300 TB of dat
a.
You plan to use one job that has many concurrent tasks to import the data in memory.
You need to maximize the amount of concurrent tasks for the job.
What should you do?
A. Use an action in an Apache Oozie workflow that stores the data in a text format.
B. Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
C. Use an Azure Data Factory linked service that stores the data in Azure Data Lake.
D. Use an Azure Data Factory linked service that stores the data in an Azure DocumentDB database.
E. Decrease the level of parallelism in an Apache Spark job that stores the data in a text format.
F. Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
G. Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
H. Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
Answer: H
Explanation:
References: https://blog.cloudera.com/blog/2015/03/how-to-tune-your-apache-spark-jobs-part-2/