
Agentic
Authored by Aswad Sohail
Professional Development
Professional Development

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15 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
Create a Java method that reads a CSV file containing financial transactions and returns the top 10 rows sorted by transaction amount, including robust error handling for cases where the file cannot be found or there are invalid CSV rows. Use a library like OpenCSV.
Evaluate responses using AI:
OFF
2.
OPEN ENDED QUESTION
3 mins • 1 pt
Create a RESTful endpoint for user registration using Spring Boot, perform comprehensive input validation, enforce a strong password policy (e.g., using BCrypt for hashing), and encrypt sensitive user data to meet FinTech security standards.
Evaluate responses using AI:
OFF
3.
OPEN ENDED QUESTION
3 mins • 1 pt
Implement a Java method that retrieves data through a FinTech API (e.g., stock prices), includes a retry logic with a defined maximum number of attempts, and incorporates comprehensive error handling and logging.
Evaluate responses using AI:
OFF
4.
OPEN ENDED QUESTION
3 mins • 1 pt
Create a Java method that validates email addresses using regular expressions, ensuring that the validation complies with FinTech user data integrity standards and guarantees efficient high-speed validation.
Evaluate responses using AI:
OFF
5.
OPEN ENDED QUESTION
3 mins • 1 pt
Create a Java method that generates a random password with specified length and complexity, using SecureRandom to ensure high entropy and meet the common strict security requirements in FinTech applications.
Evaluate responses using AI:
OFF
6.
OPEN ENDED QUESTION
3 mins • 1 pt
Generate a Java method that securely connects to a database using JDBC, retrieves user information using prepared statements, and ensures encrypted credentials and proper error handling, following FinTech security guidelines.
Evaluate responses using AI:
OFF
7.
OPEN ENDED QUESTION
3 mins • 1 pt
Create a Java method that uses Java's DateTimeFormatter to format a date string into a human-readable format, ensuring that the output complies with FinTech standards (e.g., ISO 8601) for transaction timestamps.
Evaluate responses using AI:
OFF
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