What is the role of batch size and thread configuration in a Batch Job?

• A. They determine how many records are processed per batch chunk and how many threads process chunks.
• B. They configure API versioning.
• C. They set TLS context.
• D. They define database credentials.

Answer: (A)

In a Batch Job, how data is divided and how it is processed in parallel is what this is about. The batch size determines how many records each work unit, or chunk, contains. If you have a large dataset and set a batch size of 500, the job will create chunks of 500 records each (e.g., 10,000 records become 20 chunks). The thread configuration controls how many of those chunks can be processed at the same time. With multiple threads, several chunks can be processed concurrently, increasing throughput, but consuming more memory and CPU resources. If you reduce the batch size, you get more chunks (more work units) but less memory per chunk; increasing the number of threads raises parallelism but can lead to resource contention if the environment isn’t able to handle it. These settings specifically govern batch processing behavior and parallel execution, not API versioning, TLS context, or database credentials.