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CompTIA DataX DY0-001 (V1) Practice Question

You are ingesting daily JSON files from a marketing platform into a cloud data warehouse. Each JSON object looks like:

{
  "campaign_id": 123,
  "start_date": "2024-06-01",
  "ads": [
    {"ad_id": 1, "spend": 12.5, "clicks": 37},
    {"ad_id": 2, "spend": 18.0, "clicks": 42}
  ]
}

Business analysts need a tabular view where every ad appears as its own row while the campaign_id and start_date values remain attached to each ad. Which data-wrangling step will achieve this result with the least duplication and without information loss?

  • Pivot the ads array so that the first, second, and third ads become separate groups of columns in the same campaign row.

  • Concatenate all ad objects into a single semicolon-delimited VARCHAR column in the table.

  • Leave the JSON intact and rely on the BI tool's JSON parsing functions to interpret the ads array at query time.

  • Apply an array explode/UNNEST on the ads array, then select the ad-level fields along with campaign_id and start_date.

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