Final answer:
To perform optimization in Data Services, utilize performance tuning techniques that include optimizing dataflows, managing memory and caching options, configuring parallel execution, and following best practices for efficient data processing.
Step-by-step explanation:
The option that allows you to perform optimization in Data Services is the use of performance tuning techniques specific to the tool. This may include optimizing the dataflow by ensuring proper use of transformations and lookup tables to minimize the number of records being processed at each step. Additionally, managing memory usage and adjusting caching options can greatly improve the efficiency of data processing jobs. Configuring parallel execution by using multiple CPUs and employing best practices in error handling can also lead to further efficiency gains. It is important to follow the recommended guidelines provided by the software for optimal configuration and execution of data services tasks.