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| Section | Objectives |
|---|---|
| Oracle Fusion Data Intelligence | - Validation and Troubleshooting - Security and Access Management - Semantic Model Extensions and Customization - Administration and Configuration - Solution Overview and Architecture - Data Augmentation - Instance Provisioning and Configuration - Bundles, Backup and Restoration - Analytics and Reporting - Data Pipelines and Data Loading |
| Functional Consultancy | - Business Requirements Analysis - Implementation Decisions - Configuration and Validation - Troubleshooting and Verification |
| Oracle Cloud Infrastructure | - Cloud Infrastructure Configuration - OCI Concepts Relevant to Fusion Data Intelligence - Security and Access |
| Requirements Management | - Requirements Analysis and Prioritization - Requirements Gathering - Implementation and Change Considerations |
| Oracle Fusion Cloud Applications | - Fusion Cloud Applications Overview - Integration with Fusion Data Intelligence - Application Data and Business Processes |
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NEW QUESTION # 85
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: A
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 # 86
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?
Answer: B,E
Explanation:
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.
NEW QUESTION # 87
ou are configuring JWT-based authentication for single sign-on access to Oracle Fusion Data Intelligence and have generated a custom RSA encryption key pair.
What key length requirement and public certificate activation waiting period must be satisfied before testing the connection to source Fusion Cloud Applications?
Answer: D
Explanation:
C). Minimum key length of 2048 characters and a waiting period of 15 minutes (Correct) Why it is Correct: Oracle documentation for setting up JWT-based authentication between Oracle Fusion Data Intelligence (FDI) and Oracle Fusion Cloud Applications specifies two exact security requirements:
The generated RSA encryption private key must be at least 2048 bits/characters long.
After uploading the corresponding public x509 certificate into the Oracle Fusion Cloud Applications Security Console (under JWT Authentication Provider with FAWServiceJWTIssuer as the trusted issuer), you must wait at least 15 minutes for the certificate to propagate and become effective across the application server cache before testing the connection.
A). Minimum key length of 1024 characters and a waiting period of 5 minutes (Incorrect) Why it is Wrong: RSA 1024-bit key lengths are deprecated due to security vulnerabilities and do not satisfy the 2048-character minimum required by Oracle Fusion Applications. Furthermore, 5 minutes is insufficient time for the certificate cache to refresh.
B). Minimum key length of 1024 characters and a waiting period of 30 minutes (Incorrect) Why it is Wrong: Both the key length (1024) and the waiting period (30 minutes) differ from Oracle's defined parameters (2048 and 15 minutes).
D). Minimum key length of 4096 characters and a waiting period of 60 minutes (Incorrect) Why it is Wrong: While 4096-bit RSA keys provide higher security, Oracle's explicit baseline prerequisite for FDI JWT token configuration requires a minimum length of 2048 characters and a 15-minute propagation delay, not 60 minutes
NEW QUESTION # 88
Which network security feature on a public Oracle Fusion Data Intelligence instance enables an administrator to restrict direct internet access to specific trusted IP addresses or CIDR blocks?
Answer: A
Explanation:
B). Access Control List (Correct): On a public Oracle Fusion Data Intelligence (FDI) instance, configuring an Access Control List (ACL) allows administrators to specify an allowlist of specific trusted public IP addresses or CIDR blocks. Inbound network traffic originating outside of the configured ACL ranges is automatically blocked from accessing the underlying FDI resources.
Why Other Options Are Incorrect
A). Private Endpoint Gateway: Private Endpoints isolate network traffic within an Oracle Cloud Infrastructure (OCI) Virtual Cloud Network (VCN) or connected private corporate network, rather than securing public internet access endpoints via IP/CIDR allowlisting.
C). Security Automation Policy: This is a generic/fictitious term for administrative policy engines and does not refer to the IP/CIDR network filtering mechanism in FDI.
D). Virus Scanner Firewall: This is a fictitious term and not an OCI or FDI network security component.
NEW QUESTION # 89
A lead architect needs to establish an application release update strategy that allows the testing team to validate custom reporting content on new quarterly features in non-production before the update is applied to Production.
Which configuration strategy satisfies this requirement?
Answer: D
Explanation:
Why Option D is Correct
In Oracle Fusion Data Intelligence (FDI), service administrators can control quarterly application updates and feature patches using the Release Updates configuration tile under Service Administration. To meet the requirement of testing and validating custom reporting content against new features prior to a production release, the standard best practice is to schedule the non-production instance update for an earlier date than the production instance. This grants the testing team a dedicated validation window in a non-production environment before the changes automatically or manually propagate to production.
Why the Other Options Are Incorrect
A). Export an application bundle from Production and restore it into non-production immediately after the Production update finishes: Exporting and restoring a bundle after production has already been updated completely reverses the deployment timeline. It fails to provide a staging environment to validate new features before production adoption.
B). Use Promote Objects to force the Production release update build onto the non-production instance ahead of schedule: Object promotion features (or migration bundles) are designed strictly to transfer custom metadata, semantic models, and reporting artifacts between environments. They cannot alter platform software versions or force core quarterly application release builds ahead of schedule.
C). Set the pipeline schedule parameter in Global Parameters to freeze all data extractions until both environments are updated simultaneously: Global Parameters govern data warehouse application variables and functional pipeline ingestion behavior. They do not control software patching milestones, quarterly feature upgrades, or environment update sequences.
NEW QUESTION # 90
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