Iris, a consumer electronics brand, recently started using AMC to perform analytics on events related to their Amazon Ads campaigns. Why should Iris consider using the instructional query library?
- Iris should not consider using the instructional query library as it does not apply to advertiser uploaded inputs
- To ensure minimum aggregation thresholds are met on all queries
- To find a searchable list of AMC tables and fields available to query, including Amazon Ads events and tables uploaded by Iris
- To save time and reduce errors when compared to writing custom SQL queries from scratch
Explanation:
The correct answer is **To save time and reduce errors when compared to writing custom SQL queries from scratch** because the **instructional query library** in Amazon Marketing Cloud (AMC) provides pre-built SQL query templates designed to help users, like Iris, quickly perform common types of analysis without having to write custom SQL queries from scratch. These templates are valuable because they offer guidance and structure, reducing the potential for errors and making it easier to execute queries effectively. By using the instructional query library, Iris can save time and focus on interpreting the results, rather than spending time on query construction and debugging. The other options are not as relevant, as the instructional query library is focused on simplifying query writing and does not specifically serve as a list of available tables or a way to meet aggregation thresholds.