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| Section | Objectives |
|---|---|
| Data Pipeline and Warehouse Configuration | - Data Validation and Quality
|
| OCI and Identity Configuration | - OCI Infrastructure Configuration
|
| Semantic Model and Analytics Extension | - Dashboards, Reports, and AI Features
|
| Fusion Data Intelligence Overview and Activation Planning | - Activation and Implementation Planning
|
| Administration, Monitoring, and Maintenance | - Ongoing Administration
|
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NEW QUESTION # 70
Which authentication method is officially recommended by Oracle when configuring source application details during the creation of an Oracle Fusion Data Intelligence instance?
Answer: C
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 # 71
Which of the following statements is true regarding bulk data file management using the Uploads center in Oracle Fusion Data Intelligence?
Answer: C
Explanation:
Why Option C is Correct
When managing data through the Uploads center in Oracle Fusion Data Intelligence (FDI), administrators have the capability to download two distinct file types for reference and editing:
Sample Files: Provide a CSV template with predefined, pre-populated column headers designed to familiarize users with expected data structures.
Current Files: Provide a snapshot containing active system configurations or assignments currently deployed in the environment, which can be modified for updates or migrations.
Why the Other Options Are Incorrect
A). Uploading a CSV file requires administrators to modify column header names to match the exact schema column names of the underlying data warehouse: Modifying or changing the pre-existing header names in downloaded FDI upload templates will cause processing errors. Administrators are explicitly instructed not to change any header names.
B). Bulk uploads of security assignments and financial categories can be submitted using either XML or JSON formatted files: FDI only supports comma-separated values (.csv) for data upload and download operations in the Uploads center; XML and JSON formats are not accepted for these templates.
D). Uploading a Financial Category Assignments file automatically creates missing chart of accounts segment values in Oracle Fusion Cloud Applications: Uploaded mapping files only map and configure categorization metadata within the analytics layer; they cannot dynamically create or write new foundational chart of accounts setup records back into source Oracle Fusion Cloud Applications.
NEW QUESTION # 72
An implementer needs to establish system-wide reporting currency standards in Oracle Fusion Data Intelligence so that transactional amounts from multiple ledgers are converted into USD using the Corporate exchange rate type across all functional areas.
Which console location should the implementer use to set these enterprise-wide conversion defaults?
Answer: C
Explanation:
C). Global Parameters under Data Configuration: In Oracle Fusion Data Intelligence (FDI), environment-wide settings-such as default reporting currencies and enterprise exchange rate types (e.g., Corporate)-are managed as Global Parameters under the Data Configuration console. Because currency conversion standards affect data extraction and transformation universally across all functional areas, they must be set here prior to or during initial data pipeline planning.
Why the Incorrect Answers are Wrong
A). Reporting Parameters under Data Configuration: While data configuration is the correct section, the specific designated console menu for establishing enterprise-wide currency and conversion defaults is Global Parameters, not a standalone Reporting Parameters option.
B). Custom Security Context in User and Group Management: This tool is used for handling user security assignments and data access contexts, not for configuring enterprise currency conversion standards.
D). Semantic Model Extensions Security Configurations: Security configurations manage access controls, duty roles, object permissions, and data security filters, rather than governing system-wide exchange rate types and reporting currency defaults.
NEW QUESTION # 73
Which feature lets an FDI-hosted OAC instance be accessed under a company's own domain name?
Answer: B
Explanation:
Explanation of the Correct Answer
A Vanity URL allows organizations to map their own custom, corporate domain name to their Oracle Fusion Data Intelligence (FDI) hosted Oracle Analytics Cloud (OAC) instance. Instead of accessing the application through the standard default Oracle-generated cloud endpoint URL, users can navigate to a branded, company- specific URL (for example, analytics.yourcompany.com).
Why the Other Options Are Incorrect
A). Auto Sync Security: This feature handles the automated synchronization of user identities, roles, and group memberships between Fusion Cloud Applications and FDI, rather than customizing domain names.
C). Private Endpoint: A private endpoint restricts network traffic and secures access to the FDI instance within a virtual cloud network (VCN) or via a private subnet, rather than providing custom domain branding.
D). DFF Mapper: The Descriptive Flexfield (DFF) mapper is an administration utility used to expose custom flexfield segments from source applications into the FDI semantic model, unrelated to URL customization.
NEW QUESTION # 74
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: B
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 # 75
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