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Oracle 1z0-1118-23 Exam Syllabus Topics:

Topic	Details
Topic 1	Describe Oracle Fusion Analytic Cloud Solutions Oracle Fusion Analytics Warehouse
Topic 2	Migrate model from test to production Manage incremental uploads from Fusion Application
Topic 3	Admin and maintenance of instance Detailed & Scheduled data validation setups
Topic 4	User Experience Customization Upgrade and Release Management (Beta) Semantic Model Customization
Topic 5	FAW - Configure Data Pipeline FAW - Provisioning (Creating) a FAW instance

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Oracle Cloud Fusion Analytics Warehouse 2023 Implementation Professional Sample Questions (Q15-Q20):

NEW QUESTION # 15
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 # 16
You have a table in your custom schema in ADW and would like to create a dimension using Semantic Model Extensions.
Which Fact tables can you join your custom dimension to?

A. You can join your custom dimension with custom Fact and out-of-the-box Fact tables.
B. Only degenerate dimensions are supported.
C. You can only join a custom dimension with a custom Fact table.

Answer: A

Explanation:
Explanation
You can create a dimension using Semantic Model Extensions and join it with any Fact table, whether it is a custom Fact table or an out-of-the-box Fact table. You can also join multiple dimensions with a single Fact table3

NEW QUESTION # 17
You have successfully implemented a security model in Fusion Applications that meets your securityrequirements.
However, you have noticed that FAW does not move and replicate your entire security implementation What can address your requirements in FAW?

A. Open a support ticket and report the issues that you are encountering.
B. Evaluate your security requirements and utilize security customization features in FAW to meet your needs.
C. Set up SSO between FAW and Fusion Applications and synchronize user and Job roles.

Answer: B

Explanation:
Explanation
The way that you can address your requirements in FAW when FAW does not move and replicate your entire security implementation from Fusion Applications is to evaluate your security requirements and utilize security customization features in FAW to meet your needs. FAW provides various security customization features, such as custom data roles, custom duty roles, custom security configurations, and functional groups, that allow you to define advanced data security and object security4. You do not need to set up SSO between FAW and Fusion Applications or open a support ticket for this purpose.

NEW QUESTION # 18
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, NoSQL Database Cloud Service, and Golden Gate
B. Oracle Analytics Cloud and Autonomous Data Warehouse
C. Oracle Analytics Cloud and Exadata Database Service on Dedicated Infrastructure

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 # 19
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 # 20
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