Databricks Certified Data Engineer - Associate
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In the context of the Databricks Lakehouse Platform, consider a scenario where a data engineering team is evaluating job scheduling and execution solutions for their big data processing and analytics workloads. The team is particularly concerned about scalability, reliability, and the ability to automate complex data processing tasks efficiently. Given these requirements, which of the following statements accurately describes how Databricks Jobs functions and its advantages over traditional job scheduling and execution solutions? (Choose one correct answer)
A
Databricks Jobs is a basic job scheduling service that offers similar functionality to traditional solutions but lacks specific optimizations for big data workloads, making it less suitable for large-scale data processing tasks.
B
Databricks Jobs is a comprehensive job scheduling and execution service that not only automates data processing tasks but also provides enhanced scalability and reliability, specifically optimized for big data processing and analytics workloads, distinguishing it from traditional solutions.
C
Databricks Jobs is designed exclusively for manual data processing tasks, offering no automation capabilities, which significantly limits its utility compared to traditional job scheduling and execution solutions.
D
Databricks Jobs is a manual task execution service that, despite being optimized for individual tasks, does not support automation, thus offering no productivity advantages over traditional solutions.