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This chapter is closely linked to the previous one, which dealt with the bare bones of grid elicitation. Here, we build on your learning by addressing a number of questions which may have occurred to you when you were eliciting your rst grid, or possibly, when you discussed the process with your interviewee. I hope you wrote them down as suggested. Next comes exibility. I outline some common variants of the elicitation procedure. This raises a question. Do we actually need the repertory grids to understand a person s constructs Can people be understood in other ways These issues are brie y considered in the third section of this chapter. Finally, two further techniques are outlined, using which you can increase the precision and detail of the constructs obtained during a basic grid interview. These form an introduction to the idea that in eliciting a grid, you re not simply obtaining a description of how a person thinks about an issue per se but, rather, you re opening a window on their entire mental world. A grid is just a small part of a more complex data and meaning structure. The thought is developed later in this guide, and particularly in 8. You are invited to complete two more exercises. The rst is particularly important if you re a beginner, learning about grids for the rst time. It gives you a feeling for the grids which you elicited in the previous chapter, allowing you to assess your own experience, in the light of an interview transcript of a

For the exam, make sure that you know all of the various server and network device functions, and how they interact with each other.

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The work ow uses data conversion modules to prepare data appropriate for each sink. The work ow approach was a great boon. It helped the EAI architects grapple with complex data synchronization problems. Individual applications no longer had to know anything about other applications data format or programming logic. The work ow now controlled the entire ow path of the data from a central location. We can use an example to illustrate that point. In the work ow as shown in Exhibit 2.1, data is being delivered simultaneously to the accounting and warehouse systems. If, for some reason, the accounting system must complete processing the order before it can be sent to the warehouse, we can easily change the work ow to re ect that. This is shown in Exhibit 2.2. SOA took work ow to its next level a business process. Look at the work ow diagram in Exhibit 2.2 again. We know that customer s order data is getting copied to the accounting system and the warehouse. But, what are the sinks doing with the data Are we processing a new order Or, is this an update to an order that has been already placed Is the accounting system checking for credit Or, is it preparing an invoice We cannot tell. What if we could replace the data sources and sinks with tasks and activities Exhibit 2.3 shows how the work ow can be converted to a business process.

NET, they have set up a number of private peering points to exchange traffic with their own CWIXNET Peering is a very controversial area For one, end-to-end performance of a backbone is positively coordinated with the number and speed of peering points Therefore, a smaller Internet backbone that cannot afford a number of private peers, or to peer at every MAE and NAP is likely to have poorer performance Additionally, backbones often , cannot agree with whom they will peer For instance, bbnplanetnet (now owned by GTE) decided that exodusnet was no longer worthy of peering, even though exodusnet offered to peer with BBN at any place in the country it liked BBN claimed that exodus.

analysis, cause effect graphing, and others7 and a brief overview is provided here: Equivalence partitioning identifies the ranges of inputs and initial conditions that are expected to produce the same results Equivalence relies on the commonality and variances among the different situations in which a system is expected to work Boundary value testing is used mostly for testing input edit logic Boundary conditions should always be part of your test scenarios, since it has been proven that many defects occur on the boundaries Boundaries define three sets or classes of data: good, bad, and on the border (in-bound, out-of-bound, and onbound) Boundary testing uses values that lie in or on the boundary, such as endpoints, and maximum/minimum values, or field lengths.

2. Former Address Verified Yes / No Person spoke to: ___________________________________ Title: _____________________________________________ Any relation to applicant Yes / No Rent/mortgage amount: $ ____________ If owned home, was it sold or closed Yes / No How long did applicant live there ___________ Was Rent paid on time Yes / No Was late: # ________ times. NSF checks: # ________ times. Notices served: # ________ times. For _____________________________________ Was notice given to move Yes / No Did applicant take good care of the property Yes / No Did applicant maintain yard Yes / No Would you rent to applicant again Yes / No Comments:________________________________________ __________________________________________________ __________________________________________________ __________________________________________________ 3. Do addresses match-up to credit report Current address Yes / No Former address Yes / No Any address given that conflicts with the residence information on the application Yes / No 4. Does current address match with driver s license Yes / No

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