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Updated weekly · Last refresh Aug 30

Smart Data Solutions Software Engineer Interview Questions

The questions to prepare for a Smart Data Solutions Software Engineer interview. Questions from real interview reports rank first. Updated weekly.

43questions
~6htotal time
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1
CodingStart here. 11 questions · ~88 min
Fixed-Width File to CSVMedium

Tests ability to implement a reliable file translator for patient data conversion in Java.

javafile parsingStringsSmart Data Solutions
Debug Java Parser BugsMedium

Tests debugging skill and attention to correctness in a Java data conversion pipeline.

javaDebuggingSmart Data Solutions
Use Multiple Abstract ClassesHard

Evaluates design skills and abstraction choices in a file conversion implementation.

javaSmart Data Solutions
Debug and Explain FixesMedium

Tests debugging ability and communication clarity through written client-style explanations.

javaCommunicationDebuggingSmart Data Solutions
Two-Part Conversion and DebuggingMedium

Assesses your ability to both implement and debug a file conversion pipeline.

javaDebuggingSmart Data Solutions
Angular Theme and Button ColorMedium

Evaluates front-end implementation skills in Angular UI theming and styling.

Smart Data Solutions
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2
Behavioral & Leadership31 questions · ~248 min
Handling an Unclear Interview ProcessEasy

Tests professionalism, communication, and adaptability when the interview process is ambiguous or slightly unprofessional.

Stakeholder ManagementCommunicationadaptabilitySmart Data Solutions
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3
More topics1 question · ~8 min
Explain ACID in Database ManagementMedium

Evaluates understanding of transaction properties for reliable data handling.

ACIDdatabase conceptsSmart Data Solutions

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
SQL Queries for RankingMedium
Practice
Practice drill

Rank active HSBC employees by division and return every employee tied for the highest or second-highest salary.

javasqlHsbc
SQL Data Quality ChecksHard
Practice
Practice drill

Detect missing fields, duplicate transaction keys, invalid amounts, and merchant reference issues with PostgreSQL CTEs and joins.

Data Qualitynull handlingdata integritySigmoid
Pivot Lucid Campaign Performance by MonthMedium
Practice
Practice drill

Use joins, a CTE, CASE expressions, and monthly pivoting to compare Lucid campaign performance across channels.

pivot tablesnull handlingData WranglingLucid Motors
The finish line: interview-readyComplete all 43 questions plus 3 hands-on drills to finish this plan.