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Oracle 1z0-1118-23 Exam Syllabus Topics:

Topic	Details
Topic 1	FAW - Configure Data Pipeline FAW - Provisioning (Creating) a FAW instance
Topic 2	User Experience Customization Upgrade and Release Management (Beta) Semantic Model Customization
Topic 3	Migrate model from test to production Manage incremental uploads from Fusion Application
Topic 4	Configure Global Parameters Configure Reporting parameters Pre-requisites for Data Validation
Topic 5	FAW - Administrations and Maintenance Bulk uploads and tools for rapid deployment
Topic 6	Fusion Application prerequisites FAW - Pre-requisites before Provisioning instance

Oracle Cloud Fusion Analytics Warehouse 2023 Implementation Professional Sample Questions (Q34-Q39):

NEW QUESTION # 34
You are unable to locate some data elements in your FAW instance subject areas that exist in OTBI.
Which feature in FAW supports both data movement and semantic model extensibility to provide the missing data elements?

A. Bundles
B. OAC Data Flow
C. Data Augmentation

Answer: C

Explanation:
Explanation
Data Augmentation is a feature in FAW that supports both data movement and semantic model extensibility to provide missing data elements. Data Augmentation allows you to extract data from additional data sources that are not part of the FAW data pipeline and load them into ADW. You can then use the data to customize the semantic model and create new dimensions, facts, and subject areas2

NEW QUESTION # 35
Refreshing the data pipeline for a functional area allows you to bring in incremental data immediately Often, administrators execute this refresh option for ad hoc data uploads.
Are there any issues you must consider while executing the refresh option?

A. Yes; executing an on-demand data fresh brings in all data from the initial extract date. Since it brings in all data, it takes longer to execute.
B. No; executing an on-demand data refresh brings in incremental data. There are no issues/concerns to consider.
C. Yes; executing an on-demand data refresh while working on the data may cause temporary inconsistencies.

Answer: C

Explanation:
Explanation
To perform data validation from the FAW console, you need to ensure that you have the same data security privileges in the FAW instance and the Oracle Transactional Business Intelligence (OTBI) instance. This will allow you to compare the metrics between the two instances and verify their accuracy2. You do not need to have access to all data in the FAW instance or have the administrator privilege in the OTBI instance to perform data validation.

NEW QUESTION # 36
Which data sources are available for Data Augmentation?

A. The same data sources as OAC connectors
B. The Oracle Fusion Application transactional database
C. Fusion Applications and additional data connections available in FAW

Answer: C

Explanation:
Explanation
The data sources that are available for Data Augmentation are Fusion Applications and additional data connections that are available in FAW. You can use Manage Connections to create connections to various data sources, such as Oracle Database, Oracle Autonomous Database, Oracle Object Storage, Oracle Applications Cloud, and others4. You can then use Data Augmentation to select the columns from these data sources and create datasets for analysis

NEW QUESTION # 37
Oracle Fusion Analytics Warehouse (FAW) is built on Oracle Cloud Infrastructure (OCI) and leverages/embeds Oracle PaaS Cloud services.
Which PaaS Cloud services does it leverage/embed?

A. Oracle Analytics Cloud and Exadata Database Service on Dedicated Infrastructure
B. Oracle Analytics Cloud and Autonomous Data Warehouse
C. Oracle Analytics Cloud, NoSQL Database Cloud Service, and Golden Gate

Answer: B

Explanation:
Explanation
Oracle Fusion Analytics Warehouse is built on top of Oracle Analytics Cloud and Oracle Autonomous Data Warehouse. This packaged service starts with Oracle Fusion Cloud Applications, and you can deploy rapidly, personalize, and extend it1

NEW QUESTION # 38
You have created a fact, a dimension, and a new subject area using Data Augmentation.
You want to extend the dimension m your newly created subject area by adding new attribute data source.
What steps are required to achieve this?

A. Create a branch and add "Extend a Dimension''.
B. The only available option is to modify your ADW custom schema and your Data Augmentation.
C. The dimensions created in Data Augmentation are not available in Semantic Model Extensions.

Answer: A

Explanation:
Explanation
You can extend the dimension that you created using Data Augmentation by using Semantic Model Extensions. You need to create a branch and add a step of "Extend a Dimension". Youcan then select the dimension that you want to extend and add a new attribute data source from another table or view

NEW QUESTION # 39
......

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Precise Online 1z0-1118-23 Lab Simulation bring you First-Grade Pass 1z0-1118-23 Guide for Oracle Oracle Cloud Fusion Analytics Warehouse 2023 Implementation Professional

2025 Valid 1z0-1118-23 – 100% Free Online Lab Simulation | Pass 1z0-1118-23 Guide

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Oracle Cloud Fusion Analytics Warehouse 2023 Implementation Professional Sample Questions (Q34-Q39):

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