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| Section | Objectives |
|---|---|
| Topic 1: Administration, Monitoring, and Maintenance | - Ongoing Administration
|
| Topic 2: OCI and Identity Configuration | - OCI Infrastructure Configuration
|
| Topic 3: Data Pipeline and Warehouse Configuration | - Data Integration and Pipelines
|
| Topic 4: Fusion Data Intelligence Overview and Activation Planning | - Architecture and Core Components
|
| Topic 5: Semantic Model and Analytics Extension | - Dashboards, Reports, and AI Features
|
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NEW QUESTION # 30
An enterprise architect is designing an external application merge to bring custom semantic objects from Oracle Analytics Server into an FDI non-production environment.
To which target database connection can the merged external semantic model connect within the Oracle Fusion Data Intelligence environment?
Answer: D
Explanation:
B). Only to the Oracle Autonomous Data Warehouse associated with the Oracle Fusion Data Intelligence instance: According to Oracle Fusion Data Intelligence (FDI) architecture and external application merge guidelines, any external semantic model (from Oracle Analytics Server or standalone OAC) must be modified so that its physical layer connection pools point exclusively to the custom schema hosted within the Oracle Autonomous Data Warehouse (ADW) / AI Lakehouse instance associated with the specific FDI environment.
Why the Incorrect Answers are Wrong
A). To any remote on-premises database via the Remote Data Gateway agent: Merged external semantic models within FDI cannot maintain live connection pools back to remote on-premises databases via gateways; data must be migrated and queried from the associated ADW instance.
C). Directly to the Oracle Fusion Cloud Applications transactional database (OLTP): Direct querying of the operational OLTP database by analytics semantic models is strictly blocked to prevent resource contention on source applications.
D). To an external third-party cloud database via a direct OCI Service Gateway bypass: FDI framework restrictions and security models do not permit merged semantic layers to bypass the native data architecture and query external third-party cloud databases directly.
NEW QUESTION # 31
You have downloaded the Data Security Assignments template CSV file from the Uploads center to execute a bulk update of user security contexts.
Which set of mandatory columns must you populate in the CSV file before uploading it back to Oracle Fusion Data Intelligence?
Answer: C
Explanation:
Why Option A is Correct
When utilizing the Uploads center in Oracle Fusion Data Intelligence to manage and bulk update user data security assignments, administrators must populate three specific mandatory columns within the downloaded template CSV file. These columns are USERNAME (representing the target user's identity), SEC_OBJ_CODE (representing the specific security object context code, such as AP business units or ledgers), and SEC_OBJ_MEMBER_VAL (representing the associated security assignment member value).
Ensuring these fields are populated correctly allows the upload engine to process data-level security contexts successfully.
Why the Other Options Are Incorrect
B). USER_ID, SECURITY_GROUP_ID, and ROLE_NAME: These column names do not exist in the data security assignments template schema. Group and role associations are handled through separate administrative workflows or distinct mapping files.
C). FUSION_USER_NAME, OBJECT_TYPE, and ACCESS_LEVEL: These terms do not align with the strict nomenclature (USERNAME, SEC_OBJ_CODE, and SEC_OBJ_MEMBER_VAL) required by the FDI application's data security upload parser.
D). ACCOUNT_NAME, DATA_ROLE_CODE, and MEMBER_ID: These are fabricated header names and do not match the native metadata attributes recognized by the security assignment upload template.
NEW QUESTION # 32
Which Fusion Applications duty role must be granted to the extraction user account to authorize data extractions via Business Intelligence Cloud Connector for Oracle Fusion Data Intelligence?
Answer: D
Explanation:
C). BICC_EXTRACT_TRANSFORM_LOAD_TECHNICAL_PRIVATE.
Explanation:
To perform and authorize data extractions using Business Intelligence Cloud Connector (BICC) for Oracle Fusion Data Intelligence (FDI / FAW) or external ETL pipelines, the extraction user account must be granted the duty role BICC_EXTRACT_TRANSFORM_LOAD_TECHNICAL_PRIVATE (ORA_BICC_EXTRACT_TRANSFORM_LOAD_TECHNICAL_PRIVATE).
This role grants the necessary privileges to execute extraction jobs, query BICC REST APIs, and access the extracted data files from the storage location
NEW QUESTION # 33
A security architect is establishing automated security controls for a newly deployed public Oracle Fusion Data Intelligence environment. The organization requires strict automated boundary protection against unauthorized IP addresses and automated scanning of all incoming user files uploaded to the platform.
Which TWO statements correctly describe how security automation features must be implemented in this scenario?
Answer: C,D
Explanation:
Statement B: The Virus Scanner feature integrated into the FDI Console is specifically designed to perform automated inspections on all files uploaded by users-such as CSVs, security templates, or data augmentation spreadsheets-to ensure they are free of malicious content before the system processes them.
Statement D: For public Oracle Fusion Data Intelligence instances, the Access Control List (ACL) configuration is governed by specific capacity limits: administrators are permitted to add up to 19 custom rows of access control rules, in addition to the one default rule that is pre-configured by the system.
Why the Incorrect Statements are Wrong
Statement A: Configuring an Access Control List on a public instance implements network-level IP restrictions (whitelisting/blacklisting), but it does not change the architecture or convert the instance's deployment type into a private endpoint.
Statement C: The Virus Scanner is designed to scan inbound user-uploaded files (like data augmentation or security templates). It is not restricted to internal data pipeline extraction files generated by Oracle Fusion Cloud Applications.
Statement E: Configuring an Access Control List at the FDI level does not prevent administrators from defining separate, tailored network access rules for the associated Oracle Analytics Cloud instances; the platform allows for both inherited FDI-level rules and service-specific overrides.
NEW QUESTION # 34
A service administrator wants to schedule an automated monthly full data reload for the General Ledger functional area while maintaining standard daily incremental extractions.
Which feature must be enabled under Pipeline Features in Generally Available Features to expose this capability on the Pipeline Settings page?
Answer: B
Explanation:
D). Scheduled Full Data Reload: According to Oracle Fusion Data Intelligence documentation, the Scheduled Full Data Reload feature must be enabled under Pipeline Features in Generally Available Features to expose the warehouse full reload scheduling capabilities on the Pipeline Settings page. This enables administrators to schedule periodic full reloads for select functional areas (such as General Ledger) on a weekly, monthly, or quarterly basis while maintaining standard daily incremental extractions.
Why the Incorrect Answers are Wrong
A). Frequent Refresh: This feature is used to enable high-frequency data refresh intervals (such as every 4 hours or more frequently) rather than full data reloads.
B). Reset and Reload the Data Source: This feature enables a complete, one-off reset and reload of the entire data source (often used after a Production-to-Test refresh) rather than automated periodic full reloads of specific functional areas.
C). Override Data Pipeline Schedules: This feature is used to modify or override default functional area execution schedules rather than enabling full reload capabilities.
NEW QUESTION # 35
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