1Z0-1054-22 Exam Questions & Answers

Correct Answer: AE

The two valid Data Access Set types are Full access and Read Only access. A Data Access Set is a security feature that defines the access level that users have to ledger data, such as balances, budgets, or journals. A Data Access Set type is an attribute that determines the type of access that users have to ledger data within a Data Access Set. The two valid Data Access Set types are Full access and Read Only access. Full access allows users to view and enter data for ledger data within a Data Access Set. Read Only access allows users to view but not enter data for ledger data within a Data Access Set. Full Ledger is not a valid Data Access Set type, but an option that determines whether a Data Access Set grants access to all balancing segment values in a ledger or only specific balancing segment values. Primary Balancing Segment Value is not a valid Data Access Set type, but an attribute that identifies the legal entity or business unit for which financial statements are prepared and balanced. Read and Write access is not a valid Data Access Set type, but an alternative term for Full access. Reference: Oracle Financials Cloud: General Ledger 2022 Implementation Professional Objectives-Define Ledgers 12

Correct Answer: C

cross-validation rules only test new account combinations being inserted into the table. They ignore any invalid account combinations already existing in the table. Therefore, option C is correct. Option A is incorrect because deactivating the value will not prevent further usage of the invalid account combination. Option B is incorrect because cross-validation rules are not assigned to the end user role. They are defined at the chart of accounts level. Option D is incorrect because cross-validation rules do not automatically disable that account code combination.

Correct Answer: AC

The two uses of the Column Flattening and Row Flattening features are to set the status of a tree to active and to verify correctness of trees. Column Flattening and Row Flattening are features that optimize parent-child information for runtime performance by storing additional rows or columns in a table for instantly finding all descendants or ancestors of a node without initiating a recursive query. Column Flattening and Row Flattening are required to set the status of a tree to active, as they ensure that the tree data is consistent and accurate. Column Flattening and Row Flattening are also useful to verify correctness of trees, as they allow users to view and analyze the flattened hierarchy data using various tools such as Oracle Analytics Publisher or Oracle Transactional Business Intelligence. You do not use Column Flattening and Row Flattening to create additional versions of a tree, as this is a feature that allows users to copy an existing tree version and make changes to it without affecting the original version. You do not use Column Flattening and Row Flattening to view information for runtime performance, as this is a feature that allows users to monitor and measure the performance of various processes or tasks in Oracle Fusion Applications. You do not use Column Flattening and Row Flattening to optimize parent/child relationships, as this is a feature that allows users to define rules and constraints for how nodes can be related to each other in a tree structure. Reference:Oracle Financials Cloud: General Ledger 2022 Implementation Professional Objectives-Define Chart of Accounts 12