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| Section | Objectives |
|---|---|
| Implementation Prerequisites and Instance Creation | - Ordering and activation requirements - Oracle Cloud Infrastructure prerequisites and identity considerations - Single Sign-On activation and Fusion Applications prerequisites - FDI instance provisioning and configuration - Private endpoint deployment considerations |
| Data Pipeline Configuration and Validation | - Functional areas - Data validation prerequisites - Detailed and scheduled data-validation processes - Global and reporting parameters - Preview and Generally Available features |
| Security Configuration | - Data-security assignments - Object security - Users and groups - Security automation |
| Oracle Fusion Data Intelligence Fundamentals | - Oracle Fusion Cloud Applications and Oracle Cloud Infrastructure concepts - Oracle Fusion Data Intelligence solution, capabilities, components, and functional architecture |
| Customization, Extensibility, Administration, and Maintenance | - Test-to-production migration and bulk deployment - Incremental uploads and instance lifecycle activities - Security framework customization - User experience customization - Bundles for backup and restore - Semantic model extensions - Data Augmentation and External Applications - Upgrades and releases - AI and AIDP capabilities |
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NEW QUESTION # 112
Which component is intentionally bypassed from running during intraday Frequent Data Refresh runs to optimize processing speed?
Answer: D
Explanation:
B). Semantic model update job: According to Oracle Fusion Data Intelligence (FDI) technical documentation regarding Frequent Data Refresh execution architecture, the semantic model is not updated during intraday frequent data refresh runs. Jobs that update or re-deploy the semantic model are intentionally bypassed during these cycles to minimize processing overhead and drastically accelerate the ingestion of transactional base tables.
Why the Incorrect Answers are Wrong
A). Primary extract job: Extracting raw transactional data from the source is the primary mechanism of the frequent data refresh, so it is actively executed rather than bypassed.
C). Autonomous Data Warehouse table ingestion: Loading and updating records directly into the Autonomous Data Warehouse / AI Lakehouse target tables is essential for making the latest transactional rows available.
D). Incremental delta staging table load: Frequent data refreshes process delta or incremental changes, requiring staging and processing of the latest transactional delta records.
NEW QUESTION # 113
Which capability does an integrated FDI instance gain by attaching to its source Fusion Cloud Applications environment, compared to a standalone instance?
Answer: D
Explanation:
B Explanation: Documentation states that creating an FDI instance integrated with Fusion Cloud Applications
"prefills Fusion Cloud application-specific data on the Create Instance page in FDI," in addition to attaching the instance and sharing users, groups, and roles. Data Safe enrollment (A) is a separate, manually enabled feature, ECPU scaling limits (C) still apply regardless of integration type, and VCN prerequisites (D) still apply to private-endpoint deployments regardless of whether the instance is integrated. Reference: "Set up an Integrated Fusion Data Intelligence instance for use with a Fusion Application" (blogs.oracle.com/analytics)
NEW QUESTION # 114
An executive user wants to simplify their FDI Home Page by displaying thumbnail representations of critical visualizations that link directly to parent workbooks, alongside a single curated row of core dashboards.
Which Home Page category configuration should be added to display these thumbnail visualization links?
Answer: B
Explanation:
B). Featured Watchlists: In Oracle Fusion Data Intelligence (FDI), the Featured Watchlists category configuration on the Home Page is explicitly designed to display thumbnail representations (visualization cards) of critical visualizations that link directly back to their parent workbooks. This allows executive users to pin and review essential charts quickly without needing to search through entire workbooks.
Why the Incorrect Answers are Wrong
A). System Settings: This is an administrative console option for global service parameters, tenancy configurations, and backend property updates rather than a Home Page layout category for visual cards.
C). Data Configuration: This console section manages functional data pipelines, warehouse extraction schedules, and source connections rather than user interface landing page components.
D). Release Updates: This section provides informational summaries and patch notes regarding new system features and maintenance updates released by Oracle, not front-end personalization blocks.
NEW QUESTION # 115
What is the minimum private subnet CIDR size required to provision an Oracle Fusion Data Intelligence instance with a private endpoint?
Answer: B
Explanation:
B). /28 (14 available IP addresses) (Correct)
Why it is Correct: To deploy an Oracle Fusion Data Intelligence (FDI) instance with a private endpoint, Oracle requires a Virtual Cloud Network (VCN) with a private subnet that has a minimum size of /28. A /28 CIDR block provides 16 IP addresses total, with 14 available IP addresses reserved for internal resources (such as VNICs assigned to the underlying Autonomous Data Warehouse, Oracle Analytics Cloud, and control interfaces).
Why Other Options Are Incorrect
A). /24 (254 available IP addresses): While /24 is a common standard size for subnets in enterprise network design, it is larger than the strict minimum requirement of /28 set by Oracle for FDI private endpoints.
C). /30 (2 available IP addresses): A /30 CIDR block is too small; it only provides 2 usable host IP addresses, which cannot accommodate the multiple VNICs and internal service components required by FDI, OAC, and ADW.
D). /16 (65,534 available IP addresses): A /16 CIDR block represents a large VCN block size rather than a minimal private subnet size requirement.
NEW QUESTION # 116
Which of the following statements is true regarding the migration of semantic model customizations from a non-production instance to a Production instance?
Answer: C
Explanation:
Why Option D is Correct
When promoting semantic model extensions, key metrics, and reporting configurations from a non-production environment to a Production instance in Oracle Fusion Data Intelligence, both environments must be operating on compatible release versions. Ensuring release compatibility guarantees that metadata definitions, logical models, and underlying object references packaged from the source can be seamlessly interpreted and applied by the target instance without syntax failures or broken schema dependencies.
Why the Other Options Are Incorrect
A). Promoted semantic model extensions automatically erase and reset all transactional data tables in the Production Autonomous Data Warehouse: Semantic model promotions apply changes to metadata repository structures and reporting layers; they do not drop, erase, or reset transactional data tables stored within the underlying Autonomous Data Warehouse.
B). Using Promote Objects transfers user password credentials and OCI IAM identity domain policies alongside semantic model extensions: The object promotion feature targets application-specific configurations, semantic extensions, KPIs, and granular object/data security maps. It does not manage, transfer, or overwrite user account passwords or tenancy-wide OCI IAM identity domain policies.
C). Customizations promoted from non-production remain in draft status in Production until an administrator manually rebuilds the physical database schema: Promoted customizations are deployed and activated on the target environment through the managed platform workflow. They do not require manual physical database schema rebuilds to exit a draft state.
NEW QUESTION # 117
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