TCS Salesforce

The TCS interview process consisted of three rounds: an online aptitude test, a technical plus managerial interview, and finally an HR interview. The first round was an aptitude test with sections on verbal ability, logical reasoning, and quantitative aptitude, and notably did not include coding. The second round began with a brief introduction and resume discussion, covering my projects, Amazon ML School experience, and the AI tools I had used. The technical portion focused heavily on Salesforce concepts, including SOQL and SOSL queries, relationship queries, clauses like GROUP BY, LIMIT, and OFFSET, Apex programming fundamentals such as classes, collections, and sharing rules, triggers and their types, context variables, bulkification, governor limits, and writing triggers to automate opportunities. It also covered asynchronous Apex (Future Methods, Queueable, Batch, and Schedulable Apex with cron expressions), flows (record-triggered and screen flows), Salesforce data models (standard vs custom objects, relationships, roll-up summary fields, and deletion behavior), and security (roles vs profiles). Additional questions touched on DSA concepts like stack and queue applications and linked list implementation, as well as discussions on Agentforce and AI tools in Salesforce. The interviewer advised me to learn Lightning Web Components (LWC) and Agentforce for future growth. The third round was an HR interview with general questions about my motivation to join TCS, knowledge of its founder and CEO, willingness to relocate, preferred location, and other interviews attended. The overall process was smooth, well-structured, and focused on Salesforce fundamentals, Apex, SOQL/SOSL, triggers, flows, and some DSA concepts. I was selected and received the TCS Digital offer letter, and I would recommend future candidates to prepare their projects thoroughly, practice query writing and Apex coding, and strengthen their understanding of Salesforce basics.