**Steps**: (1) Create Connected App in Salesforce (Client ID, Secret). (2) OAuth 2.0 or Username-Password flow. (3) Use spark-salesforce connector or REST client. (4) Load: `spark.read.format("com.springml.spark.salesforce").option("username", ...).option("password", ...).option("soql", "SELECT ...").load()`. (5) Bulk API for large exports.
**Why Care**: Salesforce has rate limits (API calls, concurrent connections)....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Hexaware. The answer also includes follow-up discussion points that interviewers commonly explore.
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