You are told that in this service composition architecture, all four services are exchanging invoice related data in an XML format. The services in Service Inventory A are standardized to use a specific XML schema for invoice data. Design standards were not applied to the service contracts used in Service Inventory B, which means that each service uses a different XML schema for the same kind of data. Database A and Database B can only accept data in the Comma Separated Value (CSV) format and therefore cannot accept XML formatted data. What steps can be taken to enable the planned data exchange between these four services?
Suggested Answer: A
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11 comments · newest first
JO
Johana
11 months ago
Totally agree, A is the way to go!
CA
Cathrine
12 months ago
Not sure if the Protocol Bridging pattern is really necessary.
CO
Corrina
12 months ago
Wait, can’t we just convert XML to CSV directly?
YU
Yuonne
1 year ago
I think option A makes the most sense here.
MI
Mila
1 year ago
Sounds like a classic case of needing data transformation!
KE
Kenneth
1 year ago
None of the options seem to fully address the issue with the different XML schemas in Service Inventory B. Maybe option D is the best answer after all.
SH
Shalon
1 year ago
I'm a bit confused about the Protocol Bridging pattern. I feel like it could be relevant, but I can't recall exactly how it fits into this scenario.
TI
Titus
1 year ago
I remember a practice question where we had to decide on data transformations, and I think option A might be the right choice since it covers all the services.
KR
Kristine
1 year ago
I think we need to apply the Data Model Transformation pattern, but I'm not sure if it should be between all services or just some of them.
ST
Stephen
1 year ago
Hmm, I'm a bit confused on this one. Is a boilerplate clause the one that takes precedence if there are conflicting pieces of information in the contract? Or is it something about allowing the contract to be modified? I'll have to think this through carefully.
KA
Katie
1 year ago
I feel pretty confident about this one. The key is to focus on the options that remove unnecessary data from the export, like images, documents, and deleted records. That should give us the quickest and most efficient exports.