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| Section | Objectives |
|---|---|
| Functional Consultancy | - Business Requirements Analysis - Troubleshooting and Verification - Implementation Decisions - Configuration and Validation |
| Oracle Fusion Cloud Applications | - Application Data and Business Processes - Integration with Fusion Data Intelligence - Fusion Cloud Applications Overview |
| Oracle Fusion Data Intelligence | - Semantic Model Extensions and Customization - Security and Access Management - Bundles, Backup and Restoration - Validation and Troubleshooting - Administration and Configuration - Instance Provisioning and Configuration - Data Augmentation - Solution Overview and Architecture - Analytics and Reporting - Data Pipelines and Data Loading |
| Oracle Cloud Infrastructure | - Cloud Infrastructure Configuration - Security and Access - OCI Concepts Relevant to Fusion Data Intelligence |
| Requirements Management | - Implementation and Change Considerations - Requirements Analysis and Prioritization - Requirements Gathering |
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23. Frage
Which analytics category does OTBI primarily provide, as distinguished from FDI's broader analytics capabilities?
Antwort: D
Begründung:
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.
24. Frage
An administrator is setting up data validation using basic credentials for a dedicated validation user named MyFAWValidationUser in an environment where OAuth authentication is not configured. On which Console tab under Application Administration must these user credentials be entered and maintained?
Antwort: C
Begründung:
D). Source Credentials: In Oracle Fusion Data Intelligence (FDI), when basic authentication is used for data validation (as opposed to OAuth), the administrative credentials for the designated validation user must be configured and maintained specifically on the Source Credentials tab under the Data Validation section in the Console.
Why the Incorrect Answers are Wrong
A). Pipeline Parameters: This tab is used to define functional parameters (such as ledger sets or currency settings) for the data extraction pipelines, not for managing validation user credentials.
B). Object Permissions: This section governs access control for specific semantic objects, reports, and workbooks in the Oracle Analytics Cloud catalog, not source system authentication credentials.
C). System Settings: This is a general administrative area used for instance-level configurations and properties, rather than functional-area source system credentials.
25. Frage
An implementation consultant is preparing to configure global pipeline settings for an integrated Oracle Fusion Data Intelligence deployment. The project team needs to ensure that core enterprise defaults for currency conversion, exchange rates, and transaction extraction start dates are properly established before launching data pipeline extraction.
Which TWO statements correctly describe the rules and behavior of Global Parameters in Oracle Fusion Data Intelligence?
Antwort: C,D
Begründung:
Statement B: Global Parameters in Oracle Fusion Data Intelligence (FDI) govern system-wide baseline settings that apply universally across all active functional areas, including enterprise reporting standards like the Initial Extract Date and Target Currency.
Statement D: Because global settings dictate how data is extracted and transformed across the environment from day one, administrators must configure and save Global Parameters prior to activating functional areas and launching the initial data pipeline extraction.
Why the Incorrect Answers are Wrong
Statement A: Changing the Initial Extract Date after the pipeline has run does not automatically pull in prior historical years through an incremental extract; the parameter is locked and requires a data reset to adjust historical boundaries.
Statement C: Global Parameters must be configured before running data pipelines, not after initial execution.
Statement D (alternative interpretation) / E: Global parameters apply environment-wide and are managed under Data Configuration rather than being set on an isolated, subject-area-by-subject-area basis.
26. Frage
You have successfully merged an external application into your non-production FDI instance for testing, but now you need to undo the changes and revert to the semantic model state prior to the merge.
Which action should you take on the Semantic Model Extensions page in the Oracle Fusion Data Intelligence Console?
Antwort: A
Begründung:
A). Right-click the published external application in the External Application region and select Remove Application: According to Oracle Fusion Data Intelligence (FDI) documentation for managing external application merges, if you need to undo an external application integration, you navigate to the Semantic Model Extensions page in the FDI Console, locate the External Application region, right-click the merged application, and select Remove Application to revert the semantic model state.
Why the Incorrect Answers are Wrong
B). Delete the primary custom database schema in Autonomous Data Warehouse to force an automatic schema fallback: Dropping the core database schema directly via database tooling would corrupt the data warehouse and break the FDI instance, rather than cleanly removing the semantic model merge metadata.
C). Re-upload the base seed RPD file directly through the Data Configuration section: FDI manages semantic model extensions and merges through its dedicated Console framework rather than manual raw RPD file uploads via Data Configuration.
D). Disable the Virus Scanner on the Console to unlock the previous system snapshot: The virus scanner utility is strictly for inspecting uploaded files for malware and has no function related to rolling back semantic model merges or state snapshots.
27. Frage
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?
Antwort: A,C
Begründung:
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.
28. Frage
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