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NEW QUESTION # 32
Consider these two views: View: General Ledger
* Viewpoint: Account
* Viewpoint: Entity
* Viewpoint: Product
View: Planning
* Viewpoint: Account; Subscription: General Ledger | Account; Assignee: User 1
* Viewpoint: Entity; Subscription: General Ledger | Entity; Assignee: User 2
* Viewpoint: Product; Subscription: General Ledger | Product; Assignee: User 2 A data manager creates a request in the General Ledger view that includes changes in all three viewpoints.
What happens when they submit the request?
- A. The system generates one subscription request with multiple assignees.
- B. The system generates three subscription requests, one per subscription for each viewpoint.
- C. The system generates one subscription request and assigns it to the user with the most request items.
- D. The system generates two subscription requests: Request items for the Account viewpoint are sent to User 1, and request items for Entity and Product are bundled into a single request for User 2.
Answer: D
Explanation:
Explanation
When a data manager submits a request in a view that has subscriptions defined, the system generates subscription requests based on the subscriptions and assignees for each viewpoint. If multiple viewpoints have the same assignee, the system bundles the request items into a single subscription request for that assignee.
References: Creating, Editing, and Validating Subscriptions - Oracle Help Center1
NEW QUESTION # 33
A request was submitted that triggered an approval policy. However, there are not enough approvers available to satisfy the terms of the policy.
What are two resolutions?
- A. The request is escalated to an application owner, who changes the approval policy to require fewer approvers, at which point the request is committed.
- B. After exceeding the defined number of approval notifications, the request is pushed back to the original submitter and must be submitted and approved again.
- C. The request is closed after exceeding the defined number of approval notifications and cannot be committed.
- D. The request is escalated to a data manager, who grants an exceptional approval and commits the request.
Answer: A,D
Explanation:
* The request is escalated to a data manager, who grants an exceptional approval and commits the request: This option is correct because when there are not enough approvers available to satisfy the terms of the approval policy, the request is escalated to a data manager after exceeding the defined number of approval notifications. The data manager can then grant an exceptional approval and commit the request.
* The request is escalated to an application owner, who changes the approval policy to require fewer approvers, at which point the request is committed: This option is correct because when there are not enough approvers available to satisfy the terms of the approval policy, the request is escalated to an application owner after exceeding the defined number of approval notifications. The application owner can then change the approval policy to require fewer approvers, and then approve and commit the request.
NEW QUESTION # 34
Approval Policy definition: Markfo
* Approval Method = Parallel
* One Approval Per Group = NOT selected
* Total Required approvals = 4
Approvers:
* Group 1: User1, User2, User3
* Group 2: User4, User5, User6
* Group 3: User3, User8, User9
Given the above approval policy and approvers, which statement correctly describes how the approvals workflow is enacted?
- A. Members of the first approval group can approve in any order, but must provide at least one approval before the workflow moves to the second approval group.
- B. Members of the three approval groups can approve in any order, and at least one approval is required from each group to meet the required number of approvals.
- C. Members of the three approval groups can approve in any order, and approvals are not required from all three groups as long as the total required number of approvals is met.
- D. Every member of the three approval groups must approve, but can do so in any order.
Answer: C
Explanation:
This option is correct because when the approval method is parallel and one approval per group is not selected, the approvers from different groups can approve in any order and the request is approved when the total required number of approvals is met, regardless of which groups they belong to.
Reference:
https://docs.oracle.com/en/cloud/saas/enterprise-data-management-cloud/edmra/creating-approval-policies.html
NEW QUESTION # 35
A subscription is triggered by changes in a source viewpoint. One item in the subscription request is invalid and auto-submit is enabled.
What happens next?
- A. The request is automatically rejected, and the subscription assignee is notified of the rejection.
- B. All request items except the invalid item are automatically committed to the target viewpoint, and the subscription assignee is notified that an issue must be resolved for the outstanding item.
- C. No request items are committed to the target viewpoint, and the subscription assignee is notified that an issue must be resolved before any items can be committed.
- D. All request items are automatically committed to the target viewpoint, and the subscription assignee is notified.
Answer: C
Explanation:
No request items are committed to the target viewpoint, and the subscription assignee is notified that an issue must be resolved before any items can be committed: This option is correct because when a subscription is triggered by changes in a source viewpoint and auto-submit is enabled, the request is automatically submitted for approval. However, if one or more items in the request are invalid, the request is not approved and no items are committed to the target viewpoint. The subscription assignee is notified that an issue must be resolved before the request can be approved and committed.
Reference:
https://docs.oracle.com/en/cloud/saas/enterprise-data-management-cloud/edmra/creating-subscriptions.html
NEW QUESTION # 36
Which two statements are true about requests?
- A. You cannot make multiple changes to the same node in the same request.
- B. You can perform data changes across multiple views and submit all those changes together in the same request.
- C. When you create a request, data changes are not applied immediately.
- D. Requests are the mechanism that you use to apply changes to data.
Answer: C,D
Explanation:
* Requests are the mechanism that you use to apply changes to data: This option is correct because requests are the way that you make changes to enterprise data in Enterprise Data Management Cloud.
Requests can contain various types of data changes, such as adding, deleting, or editing nodes or properties.
* When you create a request, data changes are not applied immediately: This option is correct because when you create a request, the data changes are not applied to the viewpoints until the request is submitted and approved. You can review and modify the request items before submitting them.
NEW QUESTION # 37
Which statement is true about permissions?
- A. When you grant a permission at a higher level, such as Owner, it includes all of the permissions at lower levels, such as Participant.
- B. By default, when you assign the Participant permission to a user or group, their data access is set to Write.
- C. Permissions assigned to a dimension do not also apply to the hierarchy sets and node types that they contain.
- D. The Owner permission on a view enables a user to configure the view and grants full access to the data objects in that view.
Answer: A
Explanation:
Explanation
Permissions secure access to applications, dimensions, data chain objects, and data. There are four levels of permissions: Owner, Data Manager, Participant (Write), and Participant (Read). When you grant a permission at a higher level, such as Owner, it includes all of the permissions at lower levels. For example, if you grant a user Owner permission on an application, they also have Data Manager and Participant permissions on that application. Permissions assigned to a dimension also apply to the hierarchy sets and node types that they contain. By default, when you assign the Participant permission to a user or group, their data access is set to Read. References: Working with Permissions - Oracle Help Center
NEW QUESTION # 38
You have account dimensions in two different applications that must be kept in sync.
Given a business requirement that nodes added to either application must be shared with the other, what should you do?
- A. Create three node type converters: one with Application! accounts as the source and Application2 accounts as the target, another with Application2 accounts as the source and Application! accounts as the target, and a third for bi-directional sharing.
- B. Create one bi-directional node type converter between the two applications.
- C. Create two node type converters: one with Application 1 accounts as the source and Application2 accounts as the target, and another with Application2 accounts as the source and Application 1 accounts as the target.
- D. Create one node type converter with Application! accounts as the source and Application2 accounts as the target, and specify a reverse conversion in requests when sharing in the opposite direction.
Answer: C
Explanation:
According to the reference, "A node type converter is a data object that enables you to share nodes between different node types in different applications." To keep account dimensions in sync between two applications, you need to create two node type converters, one for each direction of sharing. You cannot create a bi-directional node type converter, or specify a reverse conversion in requests.
To keep account dimensions in two different applications in sync and share nodes added to either application with the other, you can create two node type converters. One node type converter can have application 1 accounts as the source and application 2 accounts as the target, and the other node type converter can have application 2 accounts as the source and application 1 accounts as the target. This will ensure that nodes added to either application are shared with the other. (Reference: Oracle Enterprise Data Management Cloud 2022 Implementation Essentials, Module 3)
NEW QUESTION # 39
Which three are use case examples of node type validations?
- A. Node type names must conform to naming conventions.
- B. Start date must occur before end date.
- C. Property values must be in a certain format.
- D. Hierarchy levels must match specific node types.
- E. Rollup nodes must have enabled base nodes below them.
Answer: B,C,E
Explanation:
Explanation
Node type validations are validations that check whether nodes meet certain criteria based on their actions or properties. Node type validations can be used for various use case examplessuch as: start date must occur before end date, property values must be in a certain format, rollup nodes must have enabled base nodes below them, etc. Node type validations cannot be used to check hierarchy levels or node type names, because these are not related to node actions or properties. Hierarchy levels are defined by hierarchy sets and node type names are defined by node types. References: Working with Node Type Validations - Oracle Help Center
NEW QUESTION # 40
Which two statements are true about the Participant permission?
- A. Granting the Participant (Read) permission at the application level lets users browse viewpoints that contain data for any dimension in the application.
- B. The Participant permission enables you to specify which actions users can take and which properties they can view or edit for node types and hierarchy sets.
- C. You can assign the Participant permission at the application, dimension, hierarchy set, node type, and property level.
- D. When you grant a user Participant (Write) permission on a hierarchy set, that user is also granted implicit Participant (Write) permission on any node type in that hierarchy set.
Answer: A,B
Explanation:
Explanation
The Participant permission enables users to create requests or act as request assignees for data objects such as hierarchy sets and node types. You can assign the Participant permissionat different levels of granularity:
application, dimension, hierarchy set, node type, and property. You can also specify whether users have Read or Write access to data objects. Granting the Participant (Read) permission at the application level lets users browse viewpoints that contain data for any dimension in the application. However, they cannot create requests or act as request assignees unless they have Participant (Write) permission on specific data objects.
When you grant a user Participant (Write) permission on a hierarchy set, that user is not granted implicit Participant (Write) permission on any node type in that hierarchy set. They can only insert, move, remove, and reorder nodes in that hierarchy set. To add or delete nodes or update node properties, they need Participant (Write) permission on the node type as well. References: Working with Permissions - Oracle Help Center1
NEW QUESTION # 41
Which two statements are true about exporting dimensions and mappings7
- A. For bound hierarchy viewpoints, nodes are exported starting with the top nodes.
- B. All application types support exporting dimensions and mappings to registered external applications using connections.
- C. You need the Data Manager or Owner permission to the application to export its dimensions and mappings.
- D. For Planning and Universal applications, you can export enterprise data using either a connection or a comma-delimited file.
Answer: C,D
Explanation:
1. You need the Data Manager or Owner permission to the application to export its dimensions and mappings: This option is correct because the Data Manager or Owner permission is required to export enterprise data from an application to an external application or a file.
2. For Planning and Universal applications, you can export enterprise data using either a connection or a comma-delimited file: This option is correct because Planning and Universal applications support both methods of exporting enterprise data.
Reference:
https://docs.oracle.com/en/cloud/saas/enterprise-data-management-cloud/edmra/exporting-enterprise-data.html
NEW QUESTION # 42
Which two items describe the information that you can find in the Custom Validation Report?
- A. A list of system and application-specific validations
- B. The date and status of the last time a validation was run
- C. A list of all manually created validations across all applications
- D. The actions and properties that trigger the validation check
Answer: C,D
Explanation:
"The Custom Validation Report lists all manually created validations across all applications. For each validation, it shows: The actions and properties that trigger the validation check; The node types where it applies; The severity level; The message text." The other items are not information that you can find in the Custom Validation Report.
NEW QUESTION # 43
In a maintenance view for mappings, you compare the source and mapping viewpoints to identify nodes that exist in the source but have not been mapped to the target.
What is the next step to define mappings?
- A. Using the appropriate mapping key, import an Excel mapping file.
- B. Create a request, then drag and drop nodes from the source to the mapping viewpoint.
- C. Run the mapping utility to relate source to target nodes.
- D. Open a request, add nodes to the target viewpoint, and assign the mapping key to the new nodes.
Answer: B
Explanation:
Explanation
In a maintenance view for mappings, you can compare the source and mapping viewpoints to identify nodes that exist in the source but have not been mapped to the target. The next step to define mappings is to create a request, then drag and drop nodes from the source to the mapping viewpoint. This way, you can create new nodes in the mapping viewpoint that have properties derived or transformed from the source nodes using the node type converter and map binding. You do not need to use an Excel mapping file, run a mapping utility, or open a request and add nodes to the target viewpoint, because these are not supported methods for defining mappings in Oracle Enterprise Data Management Cloud. References: Working with Requests - Oracle Help Center3; Creating Mapping Viewpoints - Oracle Help Center2
NEW QUESTION # 44
You are mapping nodes from dimensions in two source applications to a dimension in a single target application.
How do you set up the mapping hierarchy sets?
- A. Separate hierarchy sets for each source-to-target relationship
- B. Target nodes as parents and converted source nodes as children
- C. Target nodes in one hierarchy set and converted source nodes in a separate hierarchy set
- D. Target nodes and converted source nodes in two separate hierarchies
Answer: A
Explanation:
When you are mapping nodes from dimensions in two source applications to a dimension in a single target application, you need to set up separate hierarchy sets for each source-to-target relationship. This way, you can define the mapping rules and node type converters for each source node type and target node type pair. You cannot use target nodes and converted source nodes in two separate hierarchies, because this would not establish a mapping relationship between them. You cannot use target nodes in one hierarchy set and converted source nodes in a separate hierarchy set, because this would not allow you to export the mappings to the target application. You cannot use target nodes as parents and converted source nodes as children, because this would create a hierarchical relationship instead of a mapping relationship. Reference: Working with Hierarchy Sets - Oracle Help Center1; Creating Mapping Viewpoints - Oracle Help Center2
NEW QUESTION # 45
You define an approval policy at the dimension level.
What statement correctly describes how this approval policy interacts with related data chain objects?
- A. The approval policy applies to the node types and hierarchy sets in the dimension.
- B. The approval policy applies to only the dimension and does not apply to related data chain objects.
- C. The approval policy applies to hierarchy sets but not node sets in the dimension.
- D. The approval policy cascades down to only the data chain objects specified in the policy definition.
Answer: A
Explanation:
* This option is correct because when you define an approval policy at the dimension level, it applies to all the node types and hierarchy sets that belong to the dimension. You can also define approval policies at the node type or hierarchy set level to override the dimension level policy.
NEW QUESTION # 46
Which two statements are true about mapping keys?
- A. One mapping key is required per location.
- B. Mapping keys control which dimensions are output in the source and target columns of the mapping export.
- C. The system automatically generates mapping keys for each unique location.
- D. Mapping keys consist of a location, source node type, and target node type.
Answer: B,D
Explanation:
Mapping keys are used to specify the source node types mapped to target node types and to define a location name to export the mapping data. The following statements are true about mapping keys: mapping keys consist of a location, source node type, and target node type; mapping keys control which dimensions are output in the source and target columns of the mapping export. The following statements are false about mapping keys: the system automatically generates mapping keys for each unique location; one mapping key is required per location. You need to manually define mapping keys for each source-to-target relationship using a unique location name. You can have multiple mapping keys for the same location if you have different source node types mapped to the same target node type. Reference: Defining Mapping Keys - Oracle Help Center1; Exporting Mapping Data - Oracle Help Center2
NEW QUESTION # 47
Which two statements are true about importing Planning dimensions?
- A. For Planning dimensions, Enterprise Data Management Cloud supports importing from comma-delimited (.csv) or tab-delimited (.txt) files.
- B. When you import data for multiple Planning dimensions from a local file, the file can contain data for all dimensions.
- C. You can connect to an external Planning application and import dimensions directly into your Enterprise Data Management Cloud instance.
- D. An application adapter connects your instance to the Planning application outbox and finds dimension files that were exported from the source application.
Answer: C,D
NEW QUESTION # 48
Which three tasks can be performed by a user with the Data Manager permission on an application?
- A. Manage viewpoints and viewpoint subscriptions for all dimensions in the application.
- B. Import, export, and update data for all dimensions in the application.
- C. Manage the application's node sets, hierarchy sets, and node types.
- D. Assign permissions for the application data.
- E. Create and submit requests for dimensions in the application.
Answer: A,B,E
Explanation:
The Data Manager permission is the second highest level of permission that can be assigned to an application. Users with the Data Manager permission can perform various tasks such as: import, export, and update data for all dimensions in the application, create and submit requests for dimensions in the application, manage viewpoints and viewpoint subscriptions for all dimensions in the application, run business rules on dimensions in the application, copy data across dimensions in the application, etc. Users with the Data Manager permission cannot manage the application's node sets, hierarchy sets, and node types, because these are data objects that require Owner permission to manage. Users with the Data Manager permission cannot assign permissions for the application data, because this requires Owner permission as well. Reference: Working with Permissions - Oracle Help Center1; Working with Requests - Oracle Help Center3
NEW QUESTION # 49
Which three compare types can you select when you run a comparison between two viewpoints?
- A. Find shared nodes
- B. Compare relationships
- C. Compare node names
- D. Find missing nodes
- E. Compare properties
Answer: B,D,E
Explanation:
Explanation
When you run a comparison between two viewpoints, you can select different compare types to identify differences or similarities between the viewpoints. The compare types that you can select are: find missing nodes, compare properties, compare relationships, and compare node names. Find missing nodes compares the nodes in both viewpoints and identifies nodes that exist in one viewpoint but not in the other. Compare properties compares the property values of nodes in both viewpoints and identifies nodes that have different property values. Compare relationships compares the parent-child relationships of nodes in both viewpoints and identifies nodes that have different parents. Compare node names compares the node names of nodes in both viewpoints and identifies nodes that have different names. Find shared nodes is not a compare type that you can select, because shared nodes are identified by the Core.Shared property rather than by comparison.
References: Comparing Viewpoints - Oracle Help Center
NEW QUESTION # 50
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