As a database administrator of a large manufacturing organization, you are in charge of their website database that handles suppliers, parts, catalog, customers, and payments of delivered items. The following relations are part of the large database: Supplier(SID, Sname, Saddress, Stelephone)Customer(CID, Cname, Caddress, Ctelephone)Part(PID, Pname, Pmodel, Pcolor)Catalog(SID, PID, Price) (The Catalog relation lists the prices charged for parts by Suppliers). Because the application is web-based and the database is accessed by many users, you want to increase the concurrency usage without compromising the data quality. For each of the following transactions, state the minimum SQL isolation level you would use in order to avoid any conflict problems in them. Please explain your choice. A transaction that adds a new part to a supplier’s catalog. A transaction that increases the price that a supplier charges for a part. A transaction that determines the total number of items for a given…

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(Dynamic Programming.) Recall the problem presented in Assign- ment 3 where given a list L of n ordered integers you're tasked with removing m of them such that the distance between the closest two remaining integers is maxi- mized. See Assignment 1 for further clarification and examples. As it turns out there is no (known) greedy algorithm to solve this problem. However, there is a dynamic programming solution. Devise a dynamic programming solution which determines the maximum distance between the closest two points after removing m numbers. Note, it doesn't need to return the resulting list itself. Hint 1: Your sub-problems should be of the form S(i, j), where S(i, j) returns the maximum distance of the closest two numbers when only considering removing j of the first i numbers in L. As an example if L [3, 4, 6, 8, 9, 12, 13, 15], then S(4, 1) = 2, since the closest two values of L' = [3,4,6,8] are 6 and 8 after removing 4 (note, 8-6 = = 2). = Hint 2: For the sub-problem S(i, j),…