Question : : Operational modeling elements represent the parts of the application and describe how they communicate with each other. Some of these elements include components (pieces of the application itself), nodes (pieces of infrastructure that can run the application), locations (security zones or physical places), and connections (communication links between elements). In operational model, two levels have been documented very well, one of them is Theoretical level and other one will be ...
Correct Answer : Get Lastest Questions and Answer : Explanation: Operational modeling is an approach for making and capturing decisions about the operational architecture of a computer system. When you create an operational model, you describe the system at a high level of abstraction, specifying how the components of the application are organized and connected, where they will be located and hosted, and what business requirements the application will resolve. You do not specify any technology-specific details about the application or infrastructure, such as which operating system is used or what brand of application server is used. Topologies that deal with this level of abstraction are called logical models. You can use any type of units in your logical model.
Question : In Arinika Inc, there are big web server farms, which continuously generates the data in log files. And you data science team want to analyze this logs. Which of the following recommended ? 1. Apache Pig and Hive
Correct Answer : Get Lastest Questions and Answer : Explanation: To help businesses use data effectively, InfoSphere BigInsights and InfoSphere Streams pair up with Apache Hadoop to tame big data analytics in real time. IT professionals supporting web analytics, social network content managers performing new or existing product research, marketing professionals promoting product lines, subscription research providers, and executives will find IBM's new analytics solution one of interest. A classic application of the software solution is InfoSphere Streams monitoring Twitter messages for sentiment related to a particular brand of phone.
Platform (developers, manufacturers)" IBM's mostly open source InfoSphere BigInsights distribution also provides the unique feature of allowing companies to perform rapid application development to generate prototypes or models of custom algorithms. Developers and manufacturers alike can use the IBM big data analytics platform to provide real-time analytics that optimize business processes on a whim using shell scripting but with high-capacity results.
Question : You are working in a financial organization, where they have strict policy to keep the data for at least years. Hence, being a solution architect, you will be asked to have data retention and archival in place. So what are all the requirement for Data retention and archival
1. A format and storage repository for archived data
Correct Answer : Get Lastest Questions and Answer : Explanation: Archiving -- take a copy and store it somewhere else. Retention -- how long you keep the data in a particular store.
Hence, in which format you want to store the data , so it will take lesser space as well as repository, where you want to keep this data.
Example : So you might archive a copy of your payroll database to tape once a month and send it to an offsite warehouse. So if the IRS demand to know how much you paid Joe Soap in 1998 you can root around the warehouse blow the dust of the tape and hope you did not throw away the tape drive to read it with.
Your accountants may have decided to retain monthly payroll data in the payroll system for seven years. So when the IRS demand to know how much you paid Joan Soap in March 2008 you can access the data with a normal query.
Solid State Technology is good for the data which is frequently accessed and not for the archival data.