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AI Models and Data EngineeringeasyMultiple ChoiceObjective-mapped

AI0-001 AI Models and Data Engineering Practice Question

A data engineer needs to combine two datasets, each with unique customer_id, to include all records from both datasets. Which join type should be used?

⚠ Common exam trap

CompTIA often tests the misconception that LEFT JOIN or RIGHT JOIN can include all records from both datasets, but candidates forget that these asymmetric joins exclude non-matching rows from the opposite side.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

FULL OUTER JOIN

A FULL OUTER JOIN returns all records from both datasets, matching rows where the customer_id is present in both and filling in NULLs for missing matches. This is the only join type that guarantees every unique customer_id from either dataset appears in the result, which is exactly what the requirement specifies.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • FULL OUTER JOIN

    Why this is correct

    FULL OUTER JOIN includes all records from both tables, matching where possible and filling nulls elsewhere.

  • RIGHT JOIN

    Why it's wrong here

    RIGHT JOIN returns all rows from the right table, but may miss unmatched rows from the left.

  • LEFT JOIN

    Why it's wrong here

    LEFT JOIN returns all rows from the left table, but may miss unmatched rows from the right.

  • INNER JOIN

    Why it's wrong here

    INNER JOIN only returns rows with matching keys in both tables, excluding unmatched records.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI0-001 exam.