Exponentia.ai Interview Questions and Answers

Parallel processing in Talend allows for executing multiple tasks simultaneously, improving performance.

• Use tParallelize component to run subjobs in parallel

• Enable parallel execution in job settings

• Utilize tFlowToIterate to process data in parallel

• Implement parallel processing for large data sets to optimize performance

My data migration experience will help in bringing revenue by ensuring smooth transitions, minimizing downtime, and maximizing data accuracy.

• Ensuring seamless transition of customer data to our platform, reducing customer churn and increasing retention rates

• Minimizing downtime during data migration, leading to increased customer satisfaction and loyalty

• Maximizing data accuracy during migration, improving overall customer experience and trust in our services

I am currently working on Talend version 7.3.1.

• Working on Talend version 7.3.1

• Familiar with the features and updates in this version

• Experience in developing ETL processes using this version

To create a complete schema for a hotel, you need to consider various entities like rooms, guests, reservations, staff, amenities, etc.

• Entities to include: rooms, guests, reservations, staff, amenities, invoices, payments

• Relationships between entities: guest stays in a room, staff manages reservations, amenities are available in rooms

• Attributes for each entity: room number, guest name, reservation date, staff ID, amenity type, invoice number, payment method

Set is a collection of unique elements, while dictionary is a collection of key-value pairs. Keys in dictionary can be updated.

• Set does not allow duplicate elements, while dictionary allows duplicate values but not duplicate keys.

• Dictionary uses key-value pairs for storing data, while set only stores individual elements.

• Example: Set - {1, 2, 3}, Dictionary - {'a': 1, 'b': 2}

• Yes, keys in dictionary can be updated by assigning a new value to the existing key.