SAMPLE ORACLE 1Z0-1118-23 QUESTIONS & EXAM 1Z0-1118-23 OBJECTIVES

Sample Oracle 1z0-1118-23 Questions & Exam 1z0-1118-23 Objectives

Sample Oracle 1z0-1118-23 Questions & Exam 1z0-1118-23 Objectives

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Oracle 1z0-1118-23 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Admin and maintenance of instance
  • Detailed & Scheduled data validation setups
Topic 2
  • User Experience Customization
  • Upgrade and Release Management (Beta)
  • Semantic Model Customization
Topic 3
  • Fusion Application prerequisites
  • FAW - Pre-requisites before Provisioning instance
Topic 4
  • FAW - Administrations and Maintenance
  • Bulk uploads and tools for rapid deployment
Topic 5
  • Migrate model from test to production
  • Manage incremental uploads from Fusion Application
Topic 6
  • Configure Global Parameters
  • Configure Reporting parameters
  • Pre-requisites for Data Validation
Topic 7
  • FAW - Configure Data Pipeline
  • FAW - Provisioning (Creating) a FAW instance

>> Sample Oracle 1z0-1118-23 Questions <<

Oracle - 1z0-1118-23 Authoritative Sample Questions

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Oracle Cloud Fusion Analytics Warehouse 2023 Implementation Professional Sample Questions (Q55-Q60):

NEW QUESTION # 55
You are in the process of implementing complex data security.
How would you secure your Fact table using data filters from different dimensions?

  • A. Create multi-table data sets in OAC and create a custom report.
  • B. Currently, this scenario is not supported.
  • C. Use functional groups to combine the data filters using the OR and AND operators.

Answer: C

Explanation:
Explanation
The way that you would secure your Fact table using data filters from different dimensions is to use functional groups to combine the data filters using the OR and AND operators. Functional groups are logical groups of dimensions that can be used to apply data filters on a Fact table. You can use functional groups to specify complex filter criteria that involve multiple dimensions and operators3. You do not need to create multi-table data sets in OAC or accept that this scenario is not supported.


NEW QUESTION # 56
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?

  • A. System Provided source tables are prevalidated by Oracle Fusion Analytics Warehouse. As part of that validation, Oracle helps ensure the success of processing and mitigates performance impact
  • B. Fusion Analytics Warehouse syncs data from System Provided tables in real time.
  • C. You get complete access to all transaction tables.

Answer: A

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 # 57
In the FAW Security framework, which mapping paradigm best describes the mapping ofSecurity Content to Data Roles?

  • A. Security Context to Data Role is many-to-many
  • B. Security Context to Data Role is one-to-one
  • C. Security Context to Data Role is one-to-many

Answer: A

Explanation:
Explanation
The FAW Security framework allows a flexible and extensible mapping of Security Content to Data Roles. A Security Content is a predefined attribute that defines the boundaries of data access for a given subject area, such as Business Unit, Country, Department, Job Family, Legal Entity, and Worker Type. A Data Role is a custom role that grants access to specific subsets of data in the data warehouse based on the Security Content.
A Security Content can be mapped to multiple Data Roles, and a Data Role can have multiple Security Content associated with it. For example, a Security Content of Country = US can be mapped to a Data Role of US HR Manager, and a Data Role of US HR Manager can have multiple Security Content such as Country = US, Business Unit = Sales, and Department = Marketing.
Verified References: Reference for Fusion HCM Analytics, page 9-10.


NEW QUESTION # 58
You want to edit global data pipeline parameters. How do you ensure that your changes are deployed and data is consistent?

  • A. Changes to the global pipeline parameter take effect at the next incremental upload.
  • B. Changes to the global pipeline parameter take effect immediately.
  • C. You must reset the data warehouse and activate the functional areas to ensure changes are effective during the next pipeline run.

Answer: A

Explanation:
Explanation
The way to ensure that your changes to the global pipeline parameters are deployed and data is consistent is to wait for the next incremental upload. Changes to the global pipeline parameters take effect at the next incremental upload, which is scheduled based on the frequency that you set in the parameters9. You do not need to reset the data warehouse or activate the functional areas for this purpose. Changes to the global pipeline parameters do not take effect immediately.


NEW QUESTION # 59
Fusion Analytics Warehouse (FAW) allows you to select the Descriptive Flexfields (DFFs) you want to move to your data warehouse.
What setup must you ensure in your Fusion Application for FAW to perform this operation7

  • A. Create a BICC extract for DFFs and schedule the same in your Fusion Application.
  • B. Ensure that the DFFs and their attributes are Bl-enabled in your Fusion Application.
  • C. Ensure the DFFs are configured and validated in your Fusion Application.

Answer: B

Explanation:
Explanation
The DFFs and their attributes must be BI-enabled in order to be extracted by the FAW data pipeline and loaded into the data warehouse. BI-enabling a DFF means that it is exposed as a column in a view object that is part of a subject area in Oracle Transactional Business Intelligence (OTBI). This allows FAW to access the DFF data through OTBI web services.
Verified References: Use Descriptive Flexfields, section 23.1; About Flexfields, section "Use Flexfields in Your Data Model".


NEW QUESTION # 60
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