Cotiviti Interview Questions and Answers

Technical Support Engineer 1 interview question on log analysis

• To search for the string 'Error' and 'ERROR' in Log Level, use a regular expression or a log analysis tool

• To find logs between two timestamps, use a log analysis tool or filter the logs based on timestamp

• To remove the username from each log line, use a regular expression or a log analysis tool

I am a Technical Support Engineer with expertise in Java and SQL.

• I have a strong understanding of Java programming language and SQL database management.

• I have experience in troubleshooting technical issues and providing solutions to customers.

• In the last few months, I faced challenges in resolving complex database issues and optimizing query performance.

• I constantly strive to learn and improve my skills to provide the best support to customers.

SQL query to find commissions of more than 12 percent.

• Use the SELECT statement to retrieve data from the table.

• Use the WHERE clause to filter the data based on the commission percentage.

• Use the > operator to filter the data for commissions greater than 12 percent.

I interact with clients by actively listening to their concerns, providing clear and concise solutions, and following up to ensure satisfaction.

• Listen actively to client concerns

• Provide clear and concise solutions

• Follow up to ensure satisfaction

• Maintain a professional and courteous demeanor

• Communicate effectively through various channels (phone, email, chat)

• Empathize with clients and understand their perspective

Script to convert CSV to json

• Use a CSV parsing library like csvtojson or papaparse

• Loop through the CSV data and convert each row to a JSON object

• Write the JSON data to a file or return it as a string

Yes, I have experience with API calls tools.

• I have worked with various API tools such as Postman, Insomnia, and Swagger.

• I am familiar with RESTful APIs and have experience in making GET, POST, PUT, and DELETE requests.

• I have also worked with API documentation and testing.

• I am comfortable with troubleshooting API issues and providing solutions.

Shuffle in map reduce process involves transferring intermediate key-value pairs from mappers to reducers based on keys.

• During the shuffle phase, the output of the mappers is partitioned and sorted based on keys.

• Keys with the same value are grouped together and sent to the same reducer.

• The partitioning and sorting process ensures that all values for a particular key are sent to the same reducer.

• The shuffle phase is crucial for reducing network traffic and optimizing the overa...read more