What Does ServiceNow Recommend as a Best Practice for Data Imports?

What does ServiceNow recommend as a best practice regarding data imports?

  1. Adjust your Transform maps, after the data is loaded into the target table.
  2. Use extremely large Import Sets, instead of multiple large Import Sets.
  3. Create a new Import set table for each new data load.
  4. Plan time before your import to remove obsolete or inaccurate data. Source Reference Answer
  5. Monitor data quality and clean imported data, using the Data Scrub Workspace.

Community Votes

D
100%

100% of anonymous learners picked answer D. Votes are pick records left by other test-takers — they are not the verified answer.

Community Insight

The exam tests WHEN data cleansing should occur — before the import runs — and traps candidates with options that describe post-import fixes or sound-alike tools.

ServiceNow's documented best practice for data imports is to plan time before the import to remove obsolete or inaccurate data, so only clean source data reaches the target table. The CSA community unanimously (100% of votes) confirms answer D, citing the official 'Preparing Data for Import' learning module.

A tempting wrong answer is C (create a new Import set table for each data load) because it sounds organized, but ServiceNow allows Import set tables to be reused; B is also a trap since ServiceNow recommends multiple smaller import sets rather than one extremely large set.

Community Discussion (3 comments)

adyrip 👍 1 Selected: D
D - listed in the CSA book Washington as good practice
benarji 👍 1
D. Ensure that your import completes successfully and that the resulting data matches your expectations.
denono 👍 1
https://developer.servicenow.com/dev.do#!/learn/learning-plans/utah/new_to_servicenow/app_store_learnv2_importingdata_utah_preparing_data_for_import

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Expert Analysis

Why the Answer Is Correct

ServiceNow's official guidance on preparing data for import explicitly recommends planning time before your import to remove obsolete or inaccurate data. Cleaning the source data up front prevents bad records from ever reaching the target table and reduces the need for corrective transform logic later. Comment [1] confirms D is listed as a best practice in the CSA course book (Washington release), and comment [3] links the official 'Preparing Data for Import' learning path on developer.servicenow.com. With 100% of community votes on D, consensus is unanimous and aligns with official training material.

Why the Other Options Are Wrong

A is wrong because transform maps should be planned and configured before the transform runs, not adjusted after data has already landed in the target table. B contradicts ServiceNow guidance, which advises loading data in multiple smaller import sets rather than one extremely large set that can stress instance performance. C is unnecessary overhead — Import set tables can be reused across multiple data loads, so creating a new one each time provides no benefit. E references a 'Data Scrub Workspace,' which is not part of ServiceNow's documented import best practices and functions as a plausible-sounding distractor.

Community Comment Notes

Comment [1] validates D by pointing directly to the CSA course book, giving candidates confidence the answer matches official training content. Comment [2] quotes the related guidance about ensuring the import completes successfully and that resulting data matches expectations, reinforcing the theme of preparation and verification. Comment [3] supplies the authoritative developer.servicenow.com link to the 'Preparing Data for Import' module, which is the primary source for this exam objective.

Official Reference

Exam Strategy

For import-related questions, remember ServiceNow's core mantra: clean and prepare your data BEFORE loading it. When options describe fixing data after the fact, oversized single imports, or unfamiliar tools, eliminate them — the correct choice almost always involves planning and preparation prior to running the import.

Related Analysis

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