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| Section | Objectives |
|---|---|
| Fusion Data Intelligence Overview and Activation Planning | - Activation and Implementation Planning
|
| Data Pipeline and Warehouse Configuration | - Data Integration and Pipelines
|
| Semantic Model and Analytics Extension | - Semantic Model Customization
|
| OCI and Identity Configuration | - OCI Infrastructure Configuration
|
| Administration, Monitoring, and Maintenance | - Ongoing Administration
|
Itexamdump 는 아주 우수한 IT인증자료사이트입니다. 우리Itexamdump에서 여러분은Oracle 1z0-1128-26인증시험관련 스킬과시험자료를 얻을수 있습니다. 여러분은 우리Itexamdump 사이트에서 제공하는Oracle 1z0-1128-26관련자료의 일부분문제와답등 샘플을 무료로 다운받아 체험해볼 수 있습니다. 그리고Itexamdump에서는Oracle 1z0-1128-26자료구매 후 추후 업데이트되는 동시에 최신버전을 무료로 발송해드립니다. 우리는Oracle 1z0-1128-26인증시험관련 모든 자료를 여러분들에서 제공할 것입니다. 우리의 IT전문 팀은 부단한 업계경험과 연구를 이용하여 정확하고 디테일 한 시험문제와 답으로 여러분을 어시스트 해드리겠습니다.
질문 # 42
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?
정답：B,C
설명：
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.
질문 # 43
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?
정답：A
설명：
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.
질문 # 44
You have configured a detailed data validation set in Oracle Fusion Data Intelligence and executed a manual run to compare purchase order line amounts. What does FDI generate in the execution results when row-level discrepancies are detected between OTBI and the warehouse?
정답：A
설명：
C). A downloadable variance report containing the non-matching transactional records: When a detailed data validation set is executed in Oracle Fusion Data Intelligence (FDI) and row-level discrepancies are identified between Oracle Transactional Business Intelligence (OTBI) and the data warehouse, the system logs the run history and generates a downloadable discrepancy or variance report (typically in CSV format). This report isolates the non-matching transactional records to assist administrators and functional teams in debugging and reconciling metric differences.
Why the Incorrect Answers are Wrong
A). An automated pipeline reset that halts all active data refreshes: Data validation is an analytical comparison utility and diagnostic check; it never automatically triggers pipeline resets or halts routine data refreshes.
B). An automatic bundle export containing updated semantic model metadata: Data validation does not modify semantic models, nor does it automatically package and export metadata bundles upon finding discrepancies.
D). A notification email requiring manual SQL script execution in Autonomous Data Warehouse: FDI handles data validation natively through the console framework; it does not generate administrative requirements for manual SQL script execution inside the underlying Autonomous Data Warehouse database.
질문 # 45
Which feature lets administrators upload custom visualization types or custom data actions?
정답：A
설명：
Custom Plug-ins (D): This feature is specifically designed to let administrators upload, manage, and delete custom visualization types or custom data actions that have been built externally. It allows organizations to extend their reporting and dashboard capabilities beyond the built-in system features.
Explanation of the Incorrect Answers
Bundle Repository (A): This capability is utilized for sharing content bundles (such as snapshots or configuration packages) between different instances or tenancies, rather than uploading individual UI extensions or actions.
Data Augmentation Wizard (B): This tool focuses on data preparation and enrichment, allowing users to add dimensions, facts, or dataset transformations to existing data models rather than managing code-based UI plugins.
Semantic Model Extension (C): This feature is used to modify, customize, or expand the underlying business metadata, schemas, and logical structures of the semantic model, rather than handling frontend visualization components or custom action scripts.
질문 # 46
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?
정답：B
설명：
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.
질문 # 47
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