CompTIA DataX DY0-001 (V1) Practice Question

You are profiling a raw credit-card transaction table and record the set of observed unique values for four categorical features:

ColumnObserved distinct values
device_compromised_flag{0, 1}
loyalty_tier_code{0, 1, 2}
contact_opt_out{"Y", "N", "U"}
outlier_indicator{True, False, None}

Assuming no data cleansing has yet been applied, which feature can be treated as a binary variable without additional recoding or imputation?

  • outlier_indicator

  • contact_opt_out

  • loyalty_tier_code

  • device_compromised_flag

CompTIA DataX DY0-001 (V1)
Modeling, Analysis, and Outcomes
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