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NEW QUESTION: 1
Identify the object of the BigMachines Managed Package app that is used for initial setup and that allows you to make
changes to integration preferences in Salesforce.
A. BigMachines Quotes
B. BigMachines Site Setup
C. Filed Mapping
D. BigMachines Commerce Process Setup
Answer: A
Explanation:
Reference:
http://docs.oracle.com/cloud/latest/cpq_gs/FACIQ.pdf (page 53)

NEW QUESTION: 2
Which of the following should an IS auditor recommend for the protection of specific sensitive information stored in the data warehouse?
A. Organize the data warehouse into subject matter-specific databases
B. implement column- and row-level permissions
C. Enhance user authentication via strong passwords
D. Log user access to the data warehouse
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Choice A specifically addresses the question of sensitive data by controlling what information users can access. Column-level security prevents users from seeing one or more attributes on a table. With row-level security a certain grouping of information on a table is restricted; e.g., if a table held details of employee salaries, then a restriction could be put in place to ensure that, unless specifically authorized, users could not view the salaries of executive staff. Column- and row-level security can be achieved in a relational database by allowing users to access logical representations of data rather than physical tables. This 'fine- grained' security model is likely to offer the best balance between information protection while still supporting a wide range of analytical and reporting uses. Enhancing user authentication via strong passwords is a security control that should apply to all users of the data warehouse and does not specifically address protection of sensitive data. Organizing a data warehouse into subject-specific databases is a potentially useful practice but, in itself, does not adequately protect sensitive data.
Database-level security is normally too 'coarse' a level to efficiently and effectively protect information. For example, one database may hold information that needs to be restricted such as employee salary and customer profitability details while other information such as employee department may need to be legitimately a accessed by a large number of users. Organizing the data warehouse into subject matter- specific databases is similar to user access in that this control should generally apply. Extra attention could be devoted to reviewing access to tables with sensitive data, but this control is not sufficient without strong preventive controls at the column and row level. For choice D, logging user access is important, but it is only a detective control that will not provide adequate protection to sensitive information.

NEW QUESTION: 3
Welche drei der folgenden Szenarien sind Hindernisse, auf die ein Scrum Master achten sollte?
(Wählen Sie drei aus)
A. Mangelnde Teamermächtigung und Unfähigkeit, sich selbst zu organisieren
B. Eine Überprüfung des Rückstands bei täglichen Standup-Meetings
C. Ein Teammitglied, das über eine User Story spricht, die sich auf dem Scrum-Board befindet
D. Ein Teammitglied, das über eine User Story spricht, die sich nicht auf dem Scrum-Board befindet
E. Eine Technologie, die agile Funktionen blockiert
Answer: A,D,E

NEW QUESTION: 4
조직은 맞춤 맵 축소 응용 프로그램을 사용하여 Amazon S3 버킷의 여러 소규모 데이터 파일을 기반으로 월별 보고서를 작성합니다. 데이터는 다양한 비즈니스 단위에서 빈번하지만 예측할 수없는 일정으로 제출됩니다. 데이터 세트가 계속해서 증가함에 따라 하루 안에 모든 데이터를 처리하는 것이 점점 어려워지고 있습니다. 조직은 Amazon EMR 클러스터를 확장했지만 다른 최적화는 성능을 향상시킬 수 있습니다.
조직은 기존 프로세스 및 응용 프로그램을 최소한으로 변경하여 성능을 향상시켜야 합니다.
조직은 어떤 조치를 취해야합니까?
A. Amazon S3 Event Notifications 및 AWS Lambda를 사용하여 각 파일을 Amazon Elasticsearch Service 클러스터에 색인화합니다.
B. 사업 단위에 Amazon Kinesis Firehose를 통해 데이터를 제출하여 시간별로 Amazon S3에 데이터를 수집하십시오.
C. S3DistCp를 사용하여 콘텐츠를 더 큰 파일로 집계하는 일일 AWS 데이터 파이프 라인 프로세스를 예약합니다.
D. Amazon S3 Event Notifications 및 AWS Lambda를 사용하여 DynamoDB에서 빠른 검색 파일 인덱스를 만듭니다.
E. Spark를 Amazon EMR 클러스터에 추가하고 Resilient Distributed Datasets in-memory를 사용합니다.
Answer: D