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The Oracle 1z0-1086-22 exam is designed for IT professionals who are interested in validating their expertise in implementing Oracle Enterprise Data Management Cloud solutions. The exam is intended to test a candidate’s knowledge in areas such as data management, application design, cloud computing, and information security. Passing the Oracle 1z0-1086-22 exam is a prerequisite for earning the Oracle Enterprise Data Management Cloud 2022 Implementation Professional certification.
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Oracle Enterprise Data Management Cloud 2022 Implementation Professional Sample Questions (Q44-Q49):
NEW QUESTION # 44
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. Create a maintenance view with viewpoints for both the General Ledger account dimension and the Planning account dimension.
- B. 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.
- C. Link the account dimension in the General Ledger application to the account dimension in the Planning application.
- 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.
Answer: C,D
Explanation:
Explanation
To share nodes between applications, you need to link dimensions and create node type converters. Linking dimensions establishes a relationship between dimensions in different applications that have similar structures or data. Creating node type converters enables you to transform properties or derive values from source node types to target node types when sharing data across applications. To share nodes from your General Ledger application’s account dimension to your Planning application’s account dimension, you need to link the account dimension in the General Ledger application to the account dimension in the Planning application, and create a node type converter for the Account node type in the Planningapplication that uses the General Ledger Account node type as a source. You do not need to create a maintenance view or a node type converter for the Account node type in the General Ledger application. References: Working with Dimension Links – Oracle Help Center2; Working with Node Type Converters – Oracle Help Center3
https://docs.oracle.com/en/cloud/saas/enterprise-data-management-cloud/dmcaa/using_views_data_chaines_and_
NEW QUESTION # 45
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. You can connect to an external Planning application and import dimensions directly into your Enterprise Data Management Cloud instance.
- C. An application adapter connects your instance to the Planning application outbox and finds dimension files that were exported from the source application.
- D. When you import data for multiple Planning dimensions from a local file, the file can contain data for all dimensions.
Answer: B,C
NEW QUESTION # 46
You need to map accounts from a GL application to a Planning application. You have already registered the source and target applications, and imported the source and target Account dimensions. In the Planning Account dimension, you create a map binding called Account Mapping.
Which three objects are created in the Planning application?
- A. A node type converter with the Account (GL) node type as source and Account Mapping (Planning) node type as target
- B. Account Mapping dimension
- C. Account Mapping hierarchy set
- D. Account Mapping node set
- E. Account Mapping viewpoint in the default Planning application view
Answer: A,C,D
Explanation:
Explanation
When you create a map binding in a dimension, you are creating a mapping relationship between a source node type and a target node type within that dimension. This enables you to transform properties or derive values from source nodes to target nodes when sharing data across applications. When you create a map binding called Account Mapping in the Planning Account dimension, three objects are created in the Planning application: an Account Mapping hierarchy set that contains hierarchies for mapping accounts from GL to Planning; an Account Mapping node set that contains nodes for mapping accounts from GL to Planning; and a node type converter with the Account (GL) node type as source and Account Mapping (Planning) node type as target that defines how properties are transformed or derived from source nodes to target nodes. A map binding does not create a new dimension or a viewpoint in a view. References: Working with Map Bindings – Oracle Help Center; Working with Node Type Converters – Oracle Help Center
NEW QUESTION # 47
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. Mapping keys consist of a location, source node type, and target node type.
- D. The system automatically generates mapping keys for each unique location.
Answer: B,C
Explanation:
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. References: Defining Mapping Keys – Oracle Help Center1; Exporting Mapping Data – Oracle Help Center
NEW QUESTION # 48
Which two are valid data sources for importing dimensions?
- A. Tab-delimited files
- B. Registered external applications
- C. Maintenance snapshots
- D. Comma-delimited files
Answer: B,D
Explanation:
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.
NEW QUESTION # 49
……
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