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| Section | Objectives |
|---|---|
| Topic 1: OCI and Identity Configuration | - Security and Access Control
|
| Topic 2: Fusion Data Intelligence Overview and Activation Planning | - Architecture and Core Components
|
| Topic 3: Data Pipeline and Warehouse Configuration | - Data Integration and Pipelines
|
| Topic 4: Administration, Monitoring, and Maintenance | - Ongoing Administration
|
| Topic 5: Semantic Model and Analytics Extension | - Dashboards, Reports, and AI Features
|
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NEW QUESTION # 108
An organization using Oracle Fusion Cloud Applications needs to analyze granular subledger accounting transactions, journals, and supporting references alongside operational financial balances.
Which packaged Oracle Fusion Data Intelligence solution provides this specialized subledger analytics capability?
Answer: C
Explanation:
C). Fusion Accounting Hub Analytics
Explanation for the Correct Answer
Fusion Accounting Hub Analytics is a specialized analytics solution designed to bridge operational data with core financial reporting. It enables finance teams to analyze granular subledger accounting transactions, journal entries, and supporting references alongside standard financial balances, offering end-to-end traceability and deep insights into accounting data.
Why the Other Options Are Incorrect
A). Fusion ERP Analytics core module: While the core ERP Analytics module covers general ledger, payables, and receivables reporting, the specific capability to dive deep into granular subledger accounting transactions, journals, and supporting references from external or specialized subledgers requires the dedicated Accounting Hub Analytics add-on SKU.
B). Fusion CX Analytics add-on solution: Fusion CX Analytics focuses entirely on customer experience domains-such as marketing, sales, and service operations-rather than financial accounting and subledger data.
D). Fusion SCM Analytics supply chain module: Fusion SCM Analytics is built to optimize supply chain execution, procurement, inventory, and fulfillment operations, not accounting subledgers and financial journals.
NEW QUESTION # 109
Which of the following statements is true regarding the migration of semantic model customizations from a non-production instance to a Production instance?
Answer: A
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 # 110
Which authentication method is officially recommended by Oracle when configuring source application details during the creation of an Oracle Fusion Data Intelligence instance?
Answer: B
Explanation:
B). JWT Based token authentication using a trusted issuer (Correct)
Why it is Correct: Oracle explicitly recommends JWT Based (JSON Web Token) authentication when configuring source Fusion Cloud Applications details during Oracle Fusion Data Intelligence (FDI) instance creation. JWT authentication provides a secure, token-based mechanism utilizing an RSA key pair and a trusted issuer (FAWServiceJWTIssuer), eliminating the risks associated with storing and transmitting static user passwords for automated pipeline extractions.
A). Password Based authentication using basic HTTP auth headers (Incorrect) Why it is Wrong: While password-based authentication is supported as an alternative option, it relies on static service account credentials and is not the officially recommended best practice by Oracle.
C). SAML 2.0 Web Browser SSO profile authentication (Incorrect)
Why it is Wrong: SAML 2.0 Web Browser SSO profile is used for federating end-user logins via interactive browser sessions, not for non-interactive server-to-server data pipeline extraction calls.
D). Kerberos Ticket Granting Service token authentication (Incorrect)
Why it is Wrong: Kerberos is an on-premises network authentication protocol and is not used for authentication between Oracle Cloud SaaS and PaaS instances.
NEW QUESTION # 111
Which preview feature predicts how long a data refresh will take to complete?
Answer: B
Explanation:
B Explanation: Documentation states: "This feature enables prediction of completion time for a data refresh.
You can see the predicted time under Data Pipeline in the Pipeline Parameters section on the Pipeline Settings page." Frequent Data Refresh (A) changes refresh cadence rather than predicting duration, Reset and Reload (C) discards and refetches all data, and Bulk Data Augmentation (D) batches non-Fusion extraction jobs - none of these forecast refresh time. Reference: Administering Oracle Fusion Data Intelligence - "About Data Refresh Performance
NEW QUESTION # 112
Which Console area would you check if you need to see the available data-model and content patches for your FDI application and their auto-update target dates?
Answer: D
Explanation:
Release Updates (B): This Console area provides visibility into scheduled content patches, data-model updates, and feature rollouts for your Fusion Data Intelligence (FDI) application, including their associated auto-update target dates.
Explanation of the Incorrect Answers
Data Configuration (A): This area manages functional area setups, data pipelines, and extraction parameters rather than release schedules and patch deployment timelines.
Bundle Repository (C): This section handles the import and export of custom content migration packages, semantic model archives, and backup snapshots.
Enable Features (D): This toggle menu is used to activate early-access, preview, or newly available features within the environment rather than reviewing update patches and timelines.
NEW QUESTION # 113
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