Questions
Here are the answers to the questions in this chapter.
| Miss Vector says... |
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Let's see if you can figure out the one false statement from these facts about 64-bit FME:
1. 32-bit Windows can use only 32-bit FME. 64-bit Windows can use either 32-bit or 64-bit FME 2. You can install both 32-bit and 64-bit FME on a 64-bit computer, and use either one as necessary 3. You can install 32-bit and 64-bit engines on the same FME Server core 4. A workspace authored on 32-bit FME cannot be run on a 64-bit engine #1 and #2: True. 64-bit Windows can have both 32-bit and 64-bit versions installed, but only the 64-bit version will take advantage of any extra memory available to it. #3: True. You can install engines of both types. Job Routing techniques will allow you to designate which jobs should be processed by which engine. #4: False. The authoring platform has nothing to do with the platform a workspace can be run on. There are many helpful articles on 64-bit on the FME knowledge center. |
| Miss Vector says... |
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How would you find the Emptying Factory Pipeline setting in the log window?
1. Looking for the color: it is the only message highlighted in red 2. Looking for the message type: it is the first message of type STATS 3. By using the log search tools 4. By opening Tools > FME Options to turn off all other messages |
| Miss Vector says... |
Given this screenshot, which should we make the first writer in this workspace?
1. A 2. B 3. C 4. Don't know! Sorry, trick question, but it is impossible to tell from just this screenshot. That's because it's not just the most features that is important, but the size of those features. There are more features in writer C, but they are just point features. Writer B is writing features with no geometry, but we don't know how many attributes there are and of what type. And writer A is writing unknown geometry. If they were park boundaries consisting of many thousands of vertices, that may be more data in total than the others. In short, you must use your own judgment and knowledge of the data being processed to make this sort of decision. |
| Miss Vector says... |
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Which of these transformers have group-related parameters for improving performance (pick all that apply and see if you can get the answers without looking at the transformers):
1. StatisticsCalculator 2. SpikeRemover 3. PointCloudCombiner 4. FeatureMerger |