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Oracle Cloud Fusion Analytics Warehouse 2023 Implementation Professional Sample Questions (Q17-Q22):
NEW QUESTION # 17
How many branches can you create to modify the semantic model?
Answer: A
Explanation:
Explanation
You can create multiple branches to customize the semantic model. You use a branch or version to publish your changes to the model. You can apply the model from the branch to a local service instance for testing. When the changes are correct, you can merge that branch with the main branch3
NEW QUESTION # 18
You have created your customization using Semantic Model Extensions. Now, you want to test your customization to ensure it meets your requirements.
What steps should you perform
Answer: C
Explanation:
Explanation
To test your customization, you need to publish the branch that contains your customization. This will apply the changes to the model and make them available in the subject areas. You can then use OAC console to create and view reports based on your customized model3
NEW QUESTION # 19
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?
Answer: B
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 # 20
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?
Answer: A
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 # 21
Data Augmentation provides two types of source tables for extraction from Fusion Applications: System Provided and Customer Provided.
What are the benefits of using System Provided source tables?
Answer: C
Explanation:
Explanation
The benefit of using System Provided source tables for extraction from Fusion Applications is that they are prevalidated by Oracle Fusion Analytics Warehouse. As part of that validation, Oracle helps ensure the success of processing and mitigates performance impact7. System Provided source tables are a subset of Business Intelligence view objects that are available for Data Augmentation8. You do not get complete access to all transaction tables or real-time sync with System Provided source tables.
NEW QUESTION # 22
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