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The Federal National Mortgage Association - Fannie Mae QA Automation Engineer Interview Questions

The questions to prepare for a The Federal National Mortgage Association - Fannie Mae QA Automation Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
Behavioral & LeadershipStart here. 3 questions · ~31 min
Overcome a Difficult ChallengeEasy

Tests ownership, adaptability, judgment, and measurable results when overcoming a significant professional challenge.

account executivechallengeProblem SolvingThe Federal National Mortgage Association - Fannie Mae
Why You Want a New RoleEasy

Tests career motivation, adaptability, accountability, and whether the candidate is moving toward a clear next step.

adaptabilityaccountabilitybehavioralThe Federal National Mortgage Association - Fannie Mae
Quality Under Tight DeadlinesMedium

Tests prioritization, ownership, and risk-based quality decisions under delivery pressure.

behavior under pressurequality assurancetime managementThe Federal National Mortgage Association - Fannie Mae
2
More topics2 questions · ~21 min
Structuring a Complex Test SuiteHard

Design a maintainable test suite for a complex application, balancing coverage, execution speed, automation, and release risk.

automated testingSuccess CriteriaRoadmappingThe Federal National Mortgage Association - Fannie Mae
SQL Query PracticeEasy
Practice

Return the second-highest distinct non-null salary from a single employee table.

null handlingsqldatabase queryingThe Federal National Mortgage Association - Fannie Mae

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
SQL Moving Average With WindowsMedium
Practice
Recently asked
Practice drill

Calculate each customer’s 30-day moving average of daily transaction totals using aggregation and a PostgreSQL window frame.

Data AnalysisJJP Morgan ChaseFinacleThe Federal National Mortgage Association - Fannie Mae
SQL Window Functions ApproachMedium
Practice
Practice drill

Explain and demonstrate how to rank filtered transaction rows within each account using a PostgreSQL window function.

Window Functionsnull handlingData ManipulationLLloyds Technology Centre
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