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| Section | Objectives |
|---|---|
| Topic 1: Functional Consultancy | - Business Requirements Analysis - Configuration and Validation - Implementation Decisions - Troubleshooting and Verification |
| Topic 2: Oracle Fusion Cloud Applications | - Fusion Cloud Applications Overview - Integration with Fusion Data Intelligence - Application Data and Business Processes |
| Topic 3: Oracle Fusion Data Intelligence | - Semantic Model Extensions and Customization - Administration and Configuration - Bundles, Backup and Restoration - Security and Access Management - Data Pipelines and Data Loading - Solution Overview and Architecture - Analytics and Reporting - Validation and Troubleshooting - Instance Provisioning and Configuration - Data Augmentation |
| Topic 4: Requirements Management | - Requirements Gathering - Implementation and Change Considerations - Requirements Analysis and Prioritization |
| Topic 5: Oracle Cloud Infrastructure | - Cloud Infrastructure Configuration - OCI Concepts Relevant to Fusion Data Intelligence - Security and Access |
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NEW QUESTION # 123
An author user in Oracle Fusion Data Intelligence is preparing a subject area dataset so that non-technical consumer users can use natural language prompts in the Oracle Analytics AI Assistant to explore business metrics. The author user needs to ensure business terms commonly used by regional teams are recognized by the assistant while maintaining optimal search performance.
Which TWO configuration actions should the author user take during data preparation?
Answer: B,D
Explanation:
Statement B (Add common business synonyms...): To ensure regional or alternative business terms are successfully recognized by natural language prompts, authors must configure custom synonyms mapped directly to the appropriate attribute columns, allowing the AI Assistant to bridge user vocabulary with underlying database objects.
Statement D (Build search indexes for essential dimension attributes...): Optimizing search performance while keeping the model accurate requires focusing search indexing efforts exclusively on essential dimensions and measures, reducing noise and search overhead from bloated or irrelevant columns.
Why the Incorrect Answers are Wrong
Statement A: Logical layer metadata is managed natively through semantic model development and console tooling rather than manual CSV exports and uploads via the Uploads center.
Statement C: Private endpoints secure internal network traffic between cloud components, but they are not a configuration step for managing vector embeddings or natural language synonyms.
Statement E: Re-activating core functional areas is a pipeline configuration task that forces full extractions; it does not selectively optimize or refresh semantic search caches for natural language assistants.
NEW QUESTION # 124
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: C
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 # 125
You are managing an active Oracle Fusion Data Intelligence instance and need to update the recipient email address responsible for receiving operational notices and release update announcements.
Where should you configure this updated contact information?
Answer: A
Explanation:
Why Option A is Correct
To update the notification email address responsible for receiving operational alerts and release update notices for an Oracle Fusion Data Intelligence (FDI) instance, administrators must navigate to the instance details page in the Oracle Cloud Infrastructure (OCI) Console, access the Actions menu (or click Update Email), and input the new contact address.
Why the Other Options Are Incorrect
B). Inside the Global Parameters tab on the Data Configuration page: The Global Parameters tab within the FDI application console controls functional data warehouse reporting configurations and pipeline behaviors, not administrative instance notification contacts.
C). Under User Management in the Identity Domain security settings: Identity Domain security settings manage user authentication, groups, and application roles, rather than service-level operational email notifications dispatched by Oracle for the instance.
D). Inside the Uploads center by submitting a CSV notification mapping file: The Uploads center is used for bringing custom flat-file data into the data warehouse, not for configuring cloud infrastructure operational or release notification subscriptions
NEW QUESTION # 126
Which analytics category does OTBI primarily provide, as distinguished from FDI's broader analytics capabilities?
Answer: B
Explanation:
Oracle Transactional Business Intelligence (OTBI) is a flexible, real-time ad-hoc reporting solution built directly into Oracle Cloud Applications (such as ERP, HCM, and SCM Cloud). Its primary purpose is to deliver operational reporting by querying transactional data live from the source application tables, allowing users to report on day-to-day business transactions as they happen.
Why the Other Options Are Incorrect
B). Predictive analytics: Predictive analytics involves forecasting future outcomes using historical data and statistical algorithms, which goes beyond standard real-time transactional reporting.
C). Augmented analytics: Augmented analytics uses machine learning and natural language processing to assist with data preparation, insight generation, and explanation-capabilities more closely aligned with advanced analytics platforms like Oracle Analytics Cloud (OAC) or FDI.
D). Di agnostic analytics: Diagnostic analytics focuses on discovering the factors or reasons for past outcomes (answering "why did this happen?"), whereas OTBI focuses on current operational status rather than deep causal data discovery.
NEW QUESTION # 127
Which access control feature, when enabled in Fusion Cloud Applications, requires extraction and validation roles to be public?
Answer: B
Explanation:
When Location Based Access Control (LBAC) is enabled in an Oracle Fusion Cloud Applications source instance, access to applications and tasks is strictly filtered based on registered IP addresses and network locations. Because data extraction and validation pipelines run automated integration services that may originate outside typical user network perimeters, Oracle requires that the specific roles assigned to users performing data extraction and validation must be explicitly designated as public (accessible from all IP locations) to ensure pipelines can execute successfully without being blocked by network-level access restrictions.
Why the Other Options Are Incorrect
A). Configurable Security Context: This mechanism manages dynamic data and context parameters during transactional processing rather than controlling network-based IP restrictions that mandate public role configurations.
B). Row-Level Security: Row-level security restricts data visibility at the table row level based on criteria such as business unit or department assignments, rather than governing network accessibility or role-to-IP permissions.
C). Auto Sync Security: Auto sync security handles the automated synchronization of user accounts, groups, and roles between source applications and FDI, rather than handling network or location-based access rules.
NEW QUESTION # 128
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