完全版は2023年最新の1z0-1086-22試験問題集テストガイドはトレーニング専門問題
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Oracle 1z0-1086-22 認定試験の出題範囲：
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Oracle Enterprise Data Management Cloud 2022実装の専門的認定を獲得することは、Oracle Enterprise Data Management Cloud 2022の実装における個人の習熟度を示しています。ソリューション。この認定は業界で高く評価されており、より良い雇用機会とより高い給与につながる可能性があります。
質問 # 13
Which are two reasons for creating a migration snapshot?
- A. To migrate the enterprise data between different releases of the environment
- B. To restore the artifacts and data to the snapshot state
- C. To export the enterprise data to an external application
- D. To download the enterprise data locally for offline work
- E. To refresh the test environment from the production environment
正解：B、E
解説：
According to the Oracle Help Center, migration snapshots are used to migrate application artifacts and data between environments, such as refreshing the test environment from the production environment. Migration snapshots can also be used to restore the artifacts and data to the snapshot state in case of any issues or errors. The other reasons are not valid for creating a migration snapshot.
質問 # 14
Which task is NOT part of the Enterprise Data Management process?
- A. Creating views and viewpoints to manage alternate business perspectives
- B. Creating views and viewpoints to configure custom validations to enforce business rules on your data
- C. Using views to work with your data, and requests to modify your data
- D. Sharing, mapping, synchronizing, and governing data across registered applications
- E. Creating ad-hoc reports to inspect node locations, properties, and history
正解：B
解説：
* Creating views and viewpoints to configure custom validations to enforce business rules on your data: This option is not correct because creating views and viewpoints is not a task that involves configuring custom validations. Custom validations are configured at the node type level by defining validation rules and expressions that enforce business rules on your data.
質問 # 15
Which three statements are true about an alternate viewpoint in an unbound state7
- A. You cannot use the alternate viewpoint to construct a what-if scenario that is isolated from production.
- B. The alternate viewpoint may be partially bound if it shares data chain objects with a bound viewpoint.
- C. The alternate viewpoint is not used in a binding and all of the data chain objects that it contains have a binding status of Unbound.
- D. Unbound data objects in an alternate viewpoint enable you to model and evaluate potential changes to dimensions in cases where the changes would not conform to a dimension's current binding rules.
- E. The alternate viewpoint is not used in a binding, but all of the data chain objects that it contains have a binding status of Bound.
正解：B、C
解説：
Explanation
An alternate viewpoint is a viewpoint that lets you see enterprise data organized in a different way. Nodes can be aggregated, rolled up, or summarized using a hierarchy that differs from the hierarchy in the bound viewpoint. An alternate viewpoint can be in an unbound state or a partially bound state. The following statements are true about an alternate viewpoint in an unbound state: the alternate viewpoint is not used in a binding and all of the data chain objects that it contains have a binding status of Unbound; unbound data objects in an alternate viewpoint enable you to model and evaluate potential changes to dimensions in cases where the changes would not conform to a dimension's current binding rules; the alternate viewpoint may be partially bound if it shares data chain objects with a bound viewpoint. The following statements are false about an alternate viewpoint in an unbound state: the alternate viewpoint is not used in a binding, but all of the data chain objects that it contains have a binding status of Bound; you cannot use the alternate viewpoint to construct a what-if scenario that is isolated from production. An unbound alternate viewpoint does not have any bound data objects, because it is not related to any external applications. You can use an unbound alternate viewpoint to construct a what-if scenario that is isolated from production, because it does not affect the bound viewpoint or the external applications. References: Defining AlternateViewpoints - Oracle Help Center1; Understanding Bindings and Bound Data Objects - Oracle Help Center2
質問 # 16
At the end of the registration process, each dimension generates a data chain, which is a group of data objects within the information model.
Which statement is FALSE regarding the data chain object?
- A. Node sets define the group of nodes available in viewpoints.
- B. Node types manage nodes and properties.
- C. Views are a collection of node sets and hierarchy sets.
- D. A viewpoint is the interface you use to display and edit information, and work with data.
- E. A hierarchy uses all the data chain objects.
- F. You can define your own hierarchy sets when you want to create alternate hierarchies using different relationships between the same or different node types.
正解：E
解説：
This option is false because a hierarchy does not use all the data chain objects, but only a node type and a hierarchy set. A node type defines the nodes and properties that are used in the hierarchy, and a hierarchy set defines the relationships between the nodes.
Reference:
https://docs.oracle.com/en/cloud/saas/enterprise-data-management-cloud/edmra/understanding-data-chains.html
質問 # 17
After submitting a request for approval, you discover that you need to make additional changes to it. What two options do you have?
- A. Recall the request, add the changes, then submit it again for approval.
- B. Push the request back to the submit stage, add the changes, then submit it again for approval.
- C. Create a second request with the additional changes, and submit it for separate approval.
- D. Recall the request and delete it. Create a new request with all of the required changes and submit it for approval.
正解：A、D
解説：
According to the Oracle Help Center, when you submit a request for approval, you can recall it if you need to make additional changes to it. You can either delete the recalled request and create a new one with all the required changes, or add the changes to the recalled request and submit it again for approval. The other options are not valid because you cannot create a second request with the additional changes, or push the request back to the submit stage.
質問 # 18
Consider a hierarchy: A parent node, "Core Products", has a child node "100", which has children "101" and
"102". In the same hierarchy, you insert "100" under another parent, "New Products".
What happens?
- A. Only node "100" is inserted as a shared node under "New Products".
- B. Node "100" is inserted as a unique node under "New Products", with a qualifier to indicate that it's a separate node from the original.
- C. Node "100" cannot be inserted under another parent in the same hierarchy.
- D. Node "100" and its children are inserted as shared nodes under "New Products".
正解：D
質問 # 19
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. Target nodes and converted source nodes in two separate hierarchies
- B. Separate hierarchy sets for each source-to-target relationship
- C. Target nodes as parents and converted source nodes as children
- D. Target nodes in one hierarchy set and converted source nodes in a separate hierarchy set
正解：B
解説：
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. References: Working with Hierarchy Sets - Oracle Help Center ; Creating Mapping Viewpoints - Oracle Help Center2
質問 # 20
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. Run the mapping utility to relate source to target nodes.
- B. Using the appropriate mapping key, import an Excel mapping file.
- C. Create a request, then drag and drop nodes from the source to the mapping viewpoint.
- D. Open a request, add nodes to the target viewpoint, and assign the mapping key to the new nodes.
正解：C
解説：
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. Reference: Working with Requests - Oracle Help Center3; Creating Mapping Viewpoints - Oracle Help Center2
質問 # 21
Which two are valid data sources for importing dimensions?
- A. Tab-delimited files
- B. Maintenance snapshots
- C. Registered external applications
- D. Comma-delimited files
正解：C、D
解説：
1. Comma-delimited files: This option is correct because comma-delimited files are supported as a data source for importing dimensions and mappings into Enterprise Data Management Cloud.
2. Registered external applications: This option is correct because registered external applications are supported as a data source for importing dimensions and mappings into Enterprise Data Management Cloud.
Reference:
https://docs.oracle.com/en/cloud/saas/enterprise-data-management-cloud/edmra/importing-enterprise-data.html According to the Oracle Help Center, you can import dimensions from comma-delimited files or registered external applications using connections. Tab-delimited files and maintenance snapshots are not valid data sources for importing dimensions.
質問 # 22
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. Run the mapping utility to relate source to target nodes.
- B. Using the appropriate mapping key, import an Excel mapping file.
- C. Create a request, then drag and drop nodes from the source to the mapping viewpoint.
- D. Open a request, add nodes to the target viewpoint, and assign the mapping key to the new nodes.
正解：C
解説：
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
質問 # 23
You need nodes added to your General Ledger application's account dimension to be shared to your Planning application's account dimension.
Which two steps can you take to facilitate this?
- A. Link the account dimension in the General Ledger application to the account dimension in the Planning application.
- B. Create a maintenance view with viewpoints for both the General Ledger account dimension and the Planning account dimension.
- C. Create a node type converter for the Account node type in the General Ledger application that uses the Planning Account node type as a source.
- D. Create a node type converter for the Account node type in the Planning application that uses the General Ledger Account node type as a source.
正解：A、B
解説：
These are two steps that can facilitate sharing nodes between applications. The other options are not valid. You do not need to create node type converters for this scenario, because both applications use the same node type for accounts.
質問 # 24
Which two things occur during application registration7
- A. You load dimension data from flat files.
- B. The system generates default data objects based on your selections in the registration wizard.
- C. The system imports external application data to determine the application configuration.
- D. You select an Enterprise Data Management Cloud application type.
- E. The system generates connections to external applications.
正解：B、D
解説：
According to the Oracle documentation, application registration is the process of creating an Enterprise Data Management Cloud application and defining its configuration. During application registration, you select an application type and the system generates default data objects based on your selections in the registration wizard. The system does not generate connections to external applications, import external application data, or load dimension data from flat files during application registration. These tasks are performed separately after the application is registered.
質問 # 25
Which method CANNOT be used to export enterprise data to an external application?
- A. A connection to the application
- B. A comma-delimited file
- C. A batch script using REST API
- D. A migration snapshot
- E. The EPM Automate utility
正解：D
解説：
This option is correct because a migration snapshot is used to export and import enterprise data between different environments or instances of Enterprise Data Management Cloud, not to an external application.
Reference:
https://docs.oracle.com/en/cloud/saas/enterprise-data-management-cloud/edmra/migrating-enterprise-data.html
質問 # 26
Which method CANNOT be used to export enterprise data to an external application?
- A. A connection to the application
- B. A comma-delimited file
- C. A batch script using REST API
- D. A migration snapshot
- E. The EPM Automate utility
正解：D
解説：
* This option is correct because a migration snapshot is used to export and import enterprise data between different environments or instances of Enterprise Data Management Cloud, not to an external application.
質問 # 27
What are two scenarios where mapping nodes across applications are required?
- A. When applications share data but have different dimensions
- B. When applications have common dimensions but use different prefixes or suffixes for member names
- C. When applications share an external connection
- D. When applications share common dimensions but use different granularity
正解：A、B
解説：
"Suppose you have an acquired company with a general ledger, and you want to map the general ledger accounts to planning accounts. The general ledger accounts have different prefixes than the planning accounts." This is an example of a scenario where mapping nodes across applications is required. Another scenario is when applications share data but have different dimensions, such as when mapping accounts from a GL application to a Planning application. The other options are not scenarios where mapping nodes across applications is required.
質問 # 28
You are provisioning a user who needs to be able to perform these tasks:
* Create and manage a Planning application.
* Create and manage views for Planning application data.
* Make updates to data in the Entity dimension for an existing Financial Consolidation and Close application (Note: the user should not be able to import, export, or extract dimension data).
* View changes made to data in all applications.
What four roles and permissions do you need to give this user?
- A. Application Creator role
- B. Data Manager permission for the Planning application they create
- C. Auditor role
- D. Browser role
- E. View Creator role
- F. Participant permission for Financial Consolidation and Close Entity dimension, with all actions enabled
- G. Data Manager permission for Financial Consolidation and Close Entity dimension
正解：A、B、C、D
解説：
According to the Oracle Help Center, the Data Manager permission allows users to create and manage views for Planning application data and make updates to data in any dimension of an application. The Browser role allows users to view changes made to data in all applications. The Application Creator role allows users to create and manage a Planning application. The Auditor role allows users to view audit reports for all applications.
1: https://docs.oracle.com/en/cloud/saas/enterprise-data-management-cloud/dmcaa/working_with_custom_validations_100xa33a634d.html : https://docs.oracle.com/en/cloud/saas/enterprise-data-management-cloud/dmcaa/assigning_roles_and_permissions_100x4c0f7f8b.html
質問 # 29
Which three compare types can you select when you run a comparison between two viewpoints?
- A. Find shared nodes
- B. Find missing nodes
- C. Compare relationships
- D. Compare properties
- E. Compare node names
正解：B、C、D
解説：
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
質問 # 30
A request you submitted has been pushed back to you. One of the approvers has enriched the request with an action that your data access does not enable you to perform.
What happens when you submit the request again?
- A. All items in the request are validated using your data access except the enriched item, which is validated during the approval phase using the enricher's data access.
- B. The enriched item creates a validation error and must be deleted from the request inspector before you can submit the request for approval.
- C. The enriched item is validated using the enricher's data access ancTtan be submitted along with the rest of the request.
- D. The enriched item creates a validation error but can still be submitted with the rest of the request for approval.
正解：A
解説：
All items in the request are validated using your data access except the enriched item, which is validated during the approval phase using the enricher's data access: This option is correct because when a request is pushed back to the submitter, the enriched item is preserved and validated using the enricher's data access during the approval phase. The rest of the items are validated using the submitter's data access when the request is submitted again.
Reference:
https://docs.oracle.com/en/cloud/saas/enterprise-data-management-cloud/edmra/approving-and-enriching-requests.html
質問 # 31
Which two items describe the information that you can find in the Custom Validation Report?
- A. The date and status of the last time a validation was run
- B. The actions and properties that trigger the validation check
- C. A list of all manually created validations across all applications
- D. A list of system and application-specific validations
正解：B、C
解説：
"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.
質問 # 32
You want to map two general ledger systems, GL1 and GL2, to a single EPM Planning application. It is time to synchronize changes by exporting the plan account mappings. Which statement about mapping keys is true?
- A. You create shadow mapping keys in the target application to represent the values coming from GL1 and GL2, respectively.
- B. You need two mapping keys, one for GLl-to-Planning and one for GL2-to-Planning. When you export a mapping, you select the location with its associated mapping key.
- C. You create one location per mapping key, where a mapping key is a unique source-target combination.
- D. You need only one mapping key and location to export the plan account mappings.
正解：B
解説：
Explanation
When you want to map two general ledger systems, GL1 and GL2, to a single EPM Planning application, and it is time to synchronize changes by exporting the plan account mappings, the following statement about mapping keys is true: you need two mapping keys, one for GL1-to-Planning and one for GL2-to-Planning.
When you export a mapping, you select the location with its associated mapping key. 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. You need to define one mapping key for each source node type mapped to a target node type.
For example, if you map two source applications to one target application, you need to define two mappingkeys defining the mapping relationship from each source node type to the target node type. Each mapping key is identified by a unique location name that you enter. The location name is used to export the mapping data and by the consuming or external application to import the mapping data. You do not need only one mapping key and location to export the plan account mappings, because this would not specify the correct source-to-target relationships. You do not need to create shadow mapping keys in the target application or one location per mapping key, because these are not supported by Oracle Enterprise Data Management Cloud.
References: Defining Mapping Keys - Oracle Help Center1; Exporting Mapping Data - Oracle Help Center2
質問 # 33
A request you submitted has been pushed back to you. One of the approvers has enriched the request with an action that your data access does not enable you to perform.
What happens when you submit the request again?
- A. All items in the request are validated using your data access except the enriched item, which is validated during the approval phase using the enricher's data access.
- B. The enriched item creates a validation error and must be deleted from the request inspector before you can submit the request for approval.
- C. The enriched item is validated using the enricher's data access ancTtan be submitted along with the rest of the request.
- D. The enriched item creates a validation error but can still be submitted with the rest of the request for approval.
正解：A
解説：
Explanation
All items in the request are validated using your data access except the enriched item, which is validated during the approval phase using the enricher's data access: This option is correct because when a request is pushed back to the submitter, the enriched item is preserved and validated using the enricher's data access during the approval phase. The rest of the items are validated using the submitter's data access when the request is submitted again.
References:
* https://docs.oracle.com/en/cloud/saas/enterprise-data-management-cloud/edmra/approving-and-enriching-r
質問 # 34
In what order do you archive data chain objects?
- A. Node type, hierarchy set, node set, viewpoint
- B. Viewpoint, node set, hierarchy set, node type
- C. Application, dimension, viewpoint
- D. Viewpoint, dimension, application
- E. You can archive data chain objects in any order
正解：A
解説：
Explanation
When you archive data chain objects, you need to follow a specific order based on their dependencies. The order that you archive data chain objects is: node type, hierarchy set, node set, viewpoint. You need to archive node types first, because they are independent of other data chain objects. Then you need to archive hierarchy sets that use those node types. Then you need to archive node sets that use those hierarchy sets or node types.
Then you need to archive viewpoints that use those node sets or hierarchy sets. You cannot archive data chain objects in any other order or in any order, because this would cause errors or inconsistencies in your data chain. You cannot archive applications or dimensions directly, because they are not data chain objects.
References: Archiving and Unarchiving Data Chain Objects - Oracle Help Center
質問 # 35
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Oracle 1Z0-1086-22試験は、Oracle Enterprise Data Management Cloud 2022の実装に習熟したい専門家向けです。この認定試験は、Oracle Enterpriseデータ管理クラウドのさまざまな側面で候補者の知識とスキルをテストするように設計されています。アーキテクチャ、構成、および管理。この試験に合格した専門家は、組織でOracle Enterprise Data Management Cloud Solutionsの実装と管理に関する専門知識を示しています。
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