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| Section | Objectives |
|---|---|
| Oracle Cloud Infrastructure | - Security and Access - Cloud Infrastructure Configuration - OCI Concepts Relevant to Fusion Data Intelligence |
| Requirements Management | - Requirements Analysis and Prioritization - Requirements Gathering - Implementation and Change Considerations |
| Oracle Fusion Data Intelligence | - Administration and Configuration - Semantic Model Extensions and Customization - Analytics and Reporting - Validation and Troubleshooting - Bundles, Backup and Restoration - Security and Access Management - Data Augmentation - Solution Overview and Architecture - Data Pipelines and Data Loading - Instance Provisioning and Configuration |
| Functional Consultancy | - Configuration and Validation - Troubleshooting and Verification - Business Requirements Analysis - Implementation Decisions |
| Oracle Fusion Cloud Applications | - Fusion Cloud Applications Overview - Application Data and Business Processes - Integration with Fusion Data Intelligence |
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NEW QUESTION # 26
Which database structure holds FDI's prebuilt data model?
Answer: A
Explanation:
Oracle Fusion Data Intelligence (FDI) structures its prebuilt data model within an immutable star schema implemented on the underlying Oracle Autonomous Data Warehouse. The core out-of-the-box fact and dimension tables are preconfigured and locked by Oracle to preserve data integrity and ensure smooth application lifecycle updates, while still allowing users to append custom data models through extension interfaces.
Why the Other Options Are Incorrect
A). Relational third-normal-form schema: Third-normal-form schemas are typically deployed in operational transactional systems (OLTP) to reduce data redundancy, whereas enterprise analytics platforms rely on dimensional star schemas optimized for aggregation speed and reporting performance.
B). Document store: Document stores are NoSQL repositories designed for semi-structured data like JSON documents, which contrasts sharply with the structured relational dimensional layout used by FDI.
D). Graph database: Graph databases specialize in managing complex network relationships and connected data nodes rather than the multi-dimensional fact and dimension aggregations required for business intelligence workloads.
NEW QUESTION # 27
A Cloud Operations team wants to set up automated OCI Notifications whenever an administrator changes the Access Control List (ACL) or moves an FDI instance to a new compartment.
Which OCI service capability should the team configure to capture these specific FDI instance events?
Answer: C
Explanation:
Why Option B is Correct
Oracle Cloud Infrastructure (OCI) Events service allows organizations to create rules that capture changes across cloud services, including Oracle Fusion Data Intelligence (FDI). Specifically, OCI Events rules can monitor and trigger automated notifications for critical administrative actions and configuration changes on FDI instances, such as Access Control List (ACL) updates, compartment transfers, and resource lifecycle modifications.
Why the Other Options Are Incorrect
A). OCI Logging Analytics Alert Rules: OCI Logging Analytics is designed for parsing, indexing, and querying log data from applications and infrastructure. It is not the native mechanism used to capture lightweight resource management events like service compartment shifts or instance ACL changes.
C). OCI Data Safe Security Assessment Alerts: OCI Data Safe specializes in database-level security evaluations, user privilege analysis, and data masking. It does not track cloud resource operational life-cycle events or platform-level instance ACL updates.
D). OCI IAM Policy Guard Rules: OCI Identity and Access Management policies and guard controls evaluate access compliance and flag over-privileged policies or permission drifts, rather than handling service-specific instance configuration changes or instance-level security ACL modifications.
NEW QUESTION # 28
Which of the following statements is true regarding the migration of semantic model customizations from a non-production instance to a Production instance?
Answer: A
Explanation:
Why Option D is Correct
When promoting semantic model extensions, key metrics, and reporting configurations from a non-production environment to a Production instance in Oracle Fusion Data Intelligence, both environments must be operating on compatible release versions. Ensuring release compatibility guarantees that metadata definitions, logical models, and underlying object references packaged from the source can be seamlessly interpreted and applied by the target instance without syntax failures or broken schema dependencies.
Why the Other Options Are Incorrect
A). Promoted semantic model extensions automatically erase and reset all transactional data tables in the Production Autonomous Data Warehouse: Semantic model promotions apply changes to metadata repository structures and reporting layers; they do not drop, erase, or reset transactional data tables stored within the underlying Autonomous Data Warehouse.
B). Using Promote Objects transfers user password credentials and OCI IAM identity domain policies alongside semantic model extensions: The object promotion feature targets application-specific configurations, semantic extensions, KPIs, and granular object/data security maps. It does not manage, transfer, or overwrite user account passwords or tenancy-wide OCI IAM identity domain policies.
C). Customizations promoted from non-production remain in draft status in Production until an administrator manually rebuilds the physical database schema: Promoted customizations are deployed and activated on the target environment through the managed platform workflow. They do not require manual physical database schema rebuilds to exit a draft state.
NEW QUESTION # 29
You have downloaded the Data Security Assignments template CSV file from the Uploads center to execute a bulk update of user security contexts.
Which set of mandatory columns must you populate in the CSV file before uploading it back to Oracle Fusion Data Intelligence?
Answer: A
Explanation:
Why Option A is Correct
When utilizing the Uploads center in Oracle Fusion Data Intelligence to manage and bulk update user data security assignments, administrators must populate three specific mandatory columns within the downloaded template CSV file. These columns are USERNAME (representing the target user's identity), SEC_OBJ_CODE (representing the specific security object context code, such as AP business units or ledgers), and SEC_OBJ_MEMBER_VAL (representing the associated security assignment member value).
Ensuring these fields are populated correctly allows the upload engine to process data-level security contexts successfully.
Why the Other Options Are Incorrect
B). USER_ID, SECURITY_GROUP_ID, and ROLE_NAME: These column names do not exist in the data security assignments template schema. Group and role associations are handled through separate administrative workflows or distinct mapping files.
C). FUSION_USER_NAME, OBJECT_TYPE, and ACCESS_LEVEL: These terms do not align with the strict nomenclature (USERNAME, SEC_OBJ_CODE, and SEC_OBJ_MEMBER_VAL) required by the FDI application's data security upload parser.
D). ACCOUNT_NAME, DATA_ROLE_CODE, and MEMBER_ID: These are fabricated header names and do not match the native metadata attributes recognized by the security assignment upload template.
NEW QUESTION # 30
You are preparing to import a bundle containing updated semantic model extensions into your Production environment, but the Production instance already contains existing custom subject areas created by another team.
What happens to the existing Production semantic model customizations when the imported bundle is applied?
Answer: C
Explanation:
Why Option C is Correct
When deploying a semantic extensions bundle into an environment containing existing modifications, Oracle Fusion Data Intelligence (FDI) supports a merge operation. This mechanism intelligently integrates new or updated semantic model components, custom subject areas, and extensions from the bundle with the pre- existing customizations already present in the target environment, preserving non-conflicting model steps rather than wiping out the entire environment.
Why the Other Options Are Incorrect
A). The imported bundle forces a hard database reset and deletes all Autonomous Data Warehouse staging tables: Importing an application or semantic bundle deals exclusively with application metadata and metadata repository configurations; it does not trigger a hard database reset or wipe transactional staging tables in the Autonomous Data Warehouse.
B). The import operation aborts immediately and revokes all active application role assignments: A valid bundle import passes validation checks and applies successfully without throwing immediate abort errors or stripping active user security role mappings.
D). The imported bundle overwrites OCI IAM identity domain security groups while leaving subject areas untouched: Semantic and content bundles target application-level artifacts and model layers rather than tenancy-wide OCI IAM identity domain security groups.
NEW QUESTION # 31
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