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| Section | Objectives |
|---|---|
| Topic 1: Data Pipeline and Warehouse Configuration | - Data Integration and Pipelines
|
| Topic 2: Semantic Model and Analytics Extension | - Semantic Model Customization
|
| Topic 3: Administration, Monitoring, and Maintenance | - Ongoing Administration
|
| Topic 4: OCI and Identity Configuration | - OCI Infrastructure Configuration
|
| Topic 5: Fusion Data Intelligence Overview and Activation Planning | - Activation and Implementation Planning
|
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質問 # 116
An implementation team is preparing to execute data validation tests comparing metrics in Oracle Fusion Data Intelligence against Oracle Transactional Business Intelligence (OTBI). The lead consultant needs to verify that all prerequisite user setups, security roles, and credential configurations are correctly in place before creating validation sets. Which TWO actions are mandatory prerequisites for executing data validation in this environment?
正解：A、C
解説：
A). Create a custom BI Abstract role and assign it to the dedicated validation user in Oracle Fusion Cloud Applications: To ensure the validation user can retrieve the necessary metrics from OTBI for comparison, they must be provisioned with the appropriate BI Abstract role within the source Oracle Fusion Cloud Applications environment.
C). Ensure the validation user exists in both FDI and Fusion Applications with identical data security privileges: It is a core requirement that the dedicated validation user accounts in both the source Fusion Applications and the FDI instance hold equivalent data security access privileges to ensure the accuracy and alignment of the data being compared.
Why the Incorrect Answers are Wrong
B). Deploy a private endpoint in OCI before enabling the Data Validation console tile: While networking configurations are important, deploying a private endpoint is not a functional prerequisite for enabling the Data Validation console tile.
D). Configure row-level data security filters within the Object Permissions tab of Semantic Model Extensions:
Validation relies on comparing aggregated source metrics against warehouse data; row-level security configuration in the semantic model is not a mandatory prerequisite for setting up validation sets.
E). Reset the Autonomous Data Warehouse admin password before saving Source Credentials: The Source Credentials tab is used to configure application-level source authentication (such as the validation user credentials for Fusion Applications), not database-level administrative passwords for the Autonomous Data Warehouse.
質問 # 117
You are creating custom data security rules for five regional business units in Oracle Fusion Data Intelligence using five distinct data-type application roles. How does the Semantic Model Extensions framework organize these custom data security definitions within the customization pipeline?
正解：C
解説：
D). Each data-type application role configuration generates exactly one customization step: Within the Semantic Model Extensions framework in Oracle Fusion Data Intelligence (FDI), administrators use the Configure Data Security task wizard to define row-level security filters. According to Oracle architecture guidelines, you can add and manage one customization step for each data role, meaning configuring five distinct data-type application roles yields five individual, discrete security customization steps in the pipeline.
Why the Incorrect Answers are Wrong
A). All custom data security definitions are combined into a single global system parameter: Security configurations for multiple roles are treated as discrete, independent rule-sets per application role rather than being merged into a single global parameter.
B). Security configurations are saved as unmanaged SQL scripts in Autonomous Data Warehouse: Security rules and configurations are managed natively within the FDI Console's metadata extension framework, not as unmanaged database-level SQL scripts.
C). Data security rules automatically generate an exported .DVA archive file in the Uploads Center: Data security configurations reside as internal metadata and semantic model security steps, not as automatic .DVA file exports inside the Uploads Center.
質問 # 118
Which mapper controls which Descriptive Flexfields are loaded into FDI?
正解：B
解説：
The DFF Mapper (Descriptive Flexfield Mapper) is the dedicated administration tool and user interface within Oracle Fusion Data Intelligence (FDI) used by administrators to select, map, and control which BI-enabled Descriptive Flexfields from source Oracle Fusion Cloud Applications are extracted and loaded into the FDI data model.
Why the Other Options Are Incorrect
A). Security Configuration: This area governs application roles, data security filters, and user permission mappings rather than controlling the selection and extraction of flexfield attributes.
B). PVO Extension: While View Objects (PVOs) are the underlying data structures used for extraction in Oracle BI Cloud Connector, the specific application-level UI utility designed for managing and mapping descriptive flexfields into FDI is the DFF Mapper.
D). Data Augmentation Template: Data augmentation templates are used for extending data models with custom entities or additional derived attributes, but they do not serve as the specific tool for mapping standard or flexfield attributes.
質問 # 119
An administrator is setting up data validation using basic credentials for a dedicated validation user named MyFAWValidationUser in an environment where OAuth authentication is not configured. On which Console tab under Application Administration must these user credentials be entered and maintained?
正解：B
解説：
D). Source Credentials: In Oracle Fusion Data Intelligence (FDI), when basic authentication is used for data validation (as opposed to OAuth), the administrative credentials for the designated validation user must be configured and maintained specifically on the Source Credentials tab under the Data Validation section in the Console.
Why the Incorrect Answers are Wrong
A). Pipeline Parameters: This tab is used to define functional parameters (such as ledger sets or currency settings) for the data extraction pipelines, not for managing validation user credentials.
B). Object Permissions: This section governs access control for specific semantic objects, reports, and workbooks in the Oracle Analytics Cloud catalog, not source system authentication credentials.
C). System Settings: This is a general administrative area used for instance-level configurations and properties, rather than functional-area source system credentials.
質問 # 120
Which access control feature, when enabled in Fusion Cloud Applications, requires extraction and validation roles to be public?
正解：A
解説：
When Location Based Access Control (LBAC) is enabled in an Oracle Fusion Cloud Applications source instance, access to applications and tasks is strictly filtered based on registered IP addresses and network locations. Because data extraction and validation pipelines run automated integration services that may originate outside typical user network perimeters, Oracle requires that the specific roles assigned to users performing data extraction and validation must be explicitly designated as public (accessible from all IP locations) to ensure pipelines can execute successfully without being blocked by network-level access restrictions.
Why the Other Options Are Incorrect
A). Configurable Security Context: This mechanism manages dynamic data and context parameters during transactional processing rather than controlling network-based IP restrictions that mandate public role configurations.
B). Row-Level Security: Row-level security restricts data visibility at the table row level based on criteria such as business unit or department assignments, rather than governing network accessibility or role-to-IP permissions.
C). Auto Sync Security: Auto sync security handles the automated synchronization of user accounts, groups, and roles between source applications and FDI, rather than handling network or location-based access rules.
質問 # 121
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