Final answer:
Using Standard-IA may result in higher latency and potentially lower throughput than Standard options, as this storage class is optimized for infrequently accessed data that does not require the same speed of retrieval or data transfer rate.
Step-by-step explanation:
Latency and throughput are two key performance indicators in data storage and networking. When it comes to using Standard-IA (Infrequent Access), which is typically a storage class for data that is not accessed often but requires rapid access when needed, there are specific impacts on these indicators.
Latency refers to the time delay from when a request is made to when it is fulfilled. With Standard-IA, you might experience higher latency compared to Standard storage options, as the data might not be stored as readily accessible, taking longer to retrieve.
Throughput, on the other hand, is the rate at which data is transferred. Standard-IA offers a lower cost, but with a trade-off in performance, which can result in typically lower throughput than the Standard storage classes because the system may take longer to deliver larger volumes of data due to its design for infrequent access.