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NEW QUESTION: 1
View the exhibit. Which of the following statements is true regarding the configuration settings?
A. When a remote user accesses http: //10.200.1.1 :443, the FortiGate login page appears.
B. When a remote user accesses https://10.200.1.1:443, the FortiGate login page appears.
C. The settings are invalid. The administrator settings and the SSL VPN settings cannot use the same port.
D. When a remote user accesses http: /188.8.131.52:443, the SSL VPN login page appears.
E. When a remote user accesses https://10.200.1.1:443, the FortiGate login page appears.
NEW QUESTION: 2
What feature is NOT provided by Fusion Accounting Hub Reporting Cloud Service (FAHRC)?
A. upload transaction data into FAH Reporting Cloud Service
B. transfer Balances to FAH Reporting Cloud Service
C. synchronize setup data from Oracle R12 E-Business Suite to FAH Reporting Cloud Service
D. provide real-time visibility to financial reports in FAH Reporting Cloud Service
NEW QUESTION: 3
Solutions Architect는 Amazon Kinesis Data Streams를 기반으로 한 시스템을 설계했습니다. 워크 플로를 제작에 투입 한 후 회사는 천천히 수행하고 Kinesis Data Streams를 문제로 확인했습니다.
스트림 중 하나에는 총 10Mb / s 처리량이 있습니다.
솔루션 아키텍트는 성능 향상을 위해 무엇을 권장해야 합니까?
A. UpdateshardCount 명령을 실행합니다. 스트림의 조각 수를 늘립니다.
B. 더 높은 처리량을 얻기 위해 Amazon Kinesis Data Firehose를 사용하도록 워크 플로를 변경합니다.
C. AWS Lambda를 사용하여 데이터를 사전 처리하고 레코드를 CSV와 같은 간단한 형식으로 변환합니다.
D. Me rgeshard 명령을 실행하여 소비자가 보다 쉽게 처리할수 있는 샤드의 수를 줄이십시오.
NEW QUESTION: 4
Infosphere Streams does not allow for the combining of high velocity real-time data with data in a warehouse for historical analysis.
Reference: ftp://ftp.software.ibm.com/software/data/db2/9/labchats/20120327-slides.pdf (Slide 31)
IBM Infosphere Streams capabilities are designed to work together and with existing bigdata & analytics applications such as BI and predictive analytics. Here's an example scenario:
Historic data is stored in the DB/warehouse (DB2, Infosphere Warehouse, Informix, Oracle, solidDb, MySQL, SQLServer, Netezza etc.) where interesting patterns are detected using database toolkit operators, such as the pattern of credit card transactions that would indicate possible fraud. Support for XML allows developers to fuse a broader range of traditional and untraditional data.