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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 | - Application Data and Business Processes - Fusion Cloud Applications Overview - Integration with Fusion Data Intelligence |
| Topic 3: Oracle Cloud Infrastructure | - Security and Access - Cloud Infrastructure Configuration - OCI Concepts Relevant to Fusion Data Intelligence |
| Topic 4: Requirements Management | - Requirements Analysis and Prioritization - Requirements Gathering - Implementation and Change Considerations |
| Topic 5: Oracle Fusion Data Intelligence | - Analytics and Reporting - Bundles, Backup and Restoration - Data Augmentation - Administration and Configuration - Semantic Model Extensions and Customization - Validation and Troubleshooting - Solution Overview and Architecture - Data Pipelines and Data Loading - Security and Access Management - Instance Provisioning and Configuration |
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NEW QUESTION # 60
Where do you view all your purchase orders for paid Oracle Cloud subscriptions before activation?
Answer: D
Explanation:
Explanation of the Correct Answer
My Account Orders page (D): To view information about all your purchase orders for paid subscriptions to Oracle Cloud services prior to activation, you sign in to My Account and navigate to the Orders page. This page lists order IDs, buyers, order dates, and statuses, and it is also where administrators go to click Activate for pending service subscriptions.
Explanation of the Incorrect Answers
Console Release Updates tile (A): This area in the OCI Console displays service-level feature updates, announcements, and release notes rather than billing or commercial purchase orders.
OCI Identity Domains page (B): This section manages user accounts, groups, authentication settings, and identity governance rather than commercial cloud contracts or purchase orders.
Bundle Repository (C): This is used for managing migration bundles, reporting templates, or configuration snapshots within analytics environments, completely unrelated to cloud account billing.
NEW QUESTION # 61
An implementer created a custom dimension in a separate customization branch and now wants to configure object security for it.
What must be done before the new custom dimension appears in the Configure Object Permissions wizard?
Answer: C
Explanation:
D). Branch Merging: In Oracle Fusion Data Intelligence (FDI), configuration steps-including the Configure Object Permissions wizard-only operate on the Main branch of the semantic model. Any new custom object, such as a custom dimension created within a separate customization branch, is not visible or available for security configuration until that branch is successfully merged into the Main branch.
Why the Incorrect Answers are Wrong
A). Convert the customization branch into a data security step: Data security steps are distinct configurations used for row/column filtering based on data-type roles; they do not control the availability of metadata objects within the object permissions wizard.
B). Reassign the custom dimension from a duty-type role to a data-type role: Object security (governing visibility of dimensions and attributes) relies on duty-type application roles. Changing the role type would not address the requirement of making the metadata object available for configuration in the first place.
C). Run a full data pipeline execution to generate metadata in Autonomous Data Warehouse: While a data pipeline execution is necessary to populate the data warehouse with information, it does not manage the semantic model's configuration state or make objects available within the Configure Object Permissions wizard. The wizard relies on the semantic model metadata, which must be consolidated into the Main branch.
NEW QUESTION # 62
An implementation team is deploying Oracle Fusion Data Intelligence across Financials, Projects, and Procurement. The team needs to schedule initial data loads for Financials first, add Procurement at a later date, and establish a plan for handling corrupted staging data if a pipeline error occurs in Projects.
Which TWO statements correctly describe how functional areas must be managed in this scenario?
Answer: C,E
Explanation:
B). Adding Procurement to the activation plan after Financials is active triggers an initial extract for Procurement without impacting Financials.
D). Resetting the Projects functional area clears its warehouse data and requires a new initial load without resetting Financials or Procurement.
Detailed Explanations
Why the Correct Statements are Right
Statement B: Oracle Fusion Data Intelligence (FDI) supports modular activation, allowing administrators to add new functional areas (like Procurement) to an existing deployment at any time. When activated, the system performs an initial data extraction for that specific module, which operates independently and does not impact the stability or historical data of already active areas like Financials.
Statement D: The Reset action is scoped strictly to the functional area being managed. If a pipeline error occurs in Projects, an administrator can trigger a Reset for that specific area to clear its corrupted warehouse data and force a clean reload, leaving Financials and Procurement completely unaffected.
Why the Incorrect Statements are Wrong
Statement A: FDI is designed for incremental deployment; functional areas do not need to be activated simultaneously and can be enabled as project requirements evolve.
Statement C: Activating a new functional area does not alter or reset global environment settings (such as the Global Parameters or historical extract dates) established at the instance level.
Statement E: Resetting a functional area only affects the data warehouse tables and metadata associated with that module's pipeline; it has no impact on external security components like OCI Identity Domains, user accounts, or application role mappings.
NEW QUESTION # 63
Which database technology serves as the core physical data foundation and storage engine for Oracle Fusion Data Intelligence?
Answer: C
Explanation:
B). Oracle Autonomous Data Warehouse
Explanation for the Correct Answer
Oracle Fusion Data Intelligence (FDI)-formerly known as Oracle Fusion Analytics Warehouse-is built upon Oracle Autonomous Data Warehouse (ADW) as its core data foundation and storage engine. When data pipelines extract and transform information from Oracle Fusion Cloud Applications, they load those conformed datasets directly into ADW to support prebuilt enterprise dashboards, KPIs, and machine learning models.
Why the Other Options Are Incorrect
A). Oracle Autonomous Database Dedicated: While FDI utilizes the Autonomous Database architecture,
"Dedicated" specifies an infrastructure deployment model (where a tenant isolates workloads on dedicated Exadata infrastructure) rather than the specific cloud data warehouse component designated for storing the application's transformed analytics data.
C). Oracle Analytics Cloud Repository: The Oracle Analytics Cloud (OAC) Repository serves as the metadata and semantic layer (defining business logic, hierarchies, and presentation catalogs), but it is a metadata definition file/container, not the physical database storage layer that houses the actual mass-transformed analytics data.
D). Oracle Transactional Business Intelligence: OTBI is a built-in reporting solution that allows users to run operational reports directly against the transactional database schemas of Oracle Fusion Cloud Applications in near-real-time, rather than functioning as an underlying cloud data warehouse component for an analytics intelligence platform.
NEW QUESTION # 64
You are defining custom database objects in the Autonomous AI Lakehouse associated with your Oracle Fusion Data Intelligence instance to support a custom dataset data augmentation.
What is the standard suffix required for a Data Augmentation Dataset object to adhere to Oracle's database naming standards?
Answer: D
Explanation:
B). _DS: According to Oracle Fusion Data Intelligence database naming standards for the Autonomous Data Warehouse / AI Lakehouse, custom database objects and datasets must follow strict suffix guidelines.
Specifically, _DS is the required standard suffix designated for Data Augmentation Dataset objects (whereas
_EXT is used for Data Augmentation Extensions, _MD for Mini Dimensions, and _F for Facts).
Why the Incorrect Answers are Wrong
A). _EXT: This suffix designates a Data Augmentation Extension rather than a dataset object.
C). _MD: This suffix is reserved for Mini Dimensions in custom star schemas.
D). _F: This suffix is standard for Fact tables rather than data augmentation datasets.
NEW QUESTION # 65
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