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Oracle APEX Cloud Developer Professional Sample Questions (Q34-Q39):

NEW QUESTION # 34
Which two SQL format options does the APEX Assistant provide when using the "Create Data Model using AI" feature?

A. Quick SQL
B. Oracle SQL
C. Oracle PL/SQL
D. MySQL

Answer: A,B

Explanation:
The "Create Data Model using AI" feature in APEX Assistant leverages AI to generate data models based on natural language input. The supported SQL format options are:
Quick SQL: A shorthand syntax for defining database objects, which APEX can convert into full DDL.
Oracle SQL: Standard SQL syntax compatible with Oracle Database for creating tables and other objects.
MySQL is not supported as it's specific to a different database system, and Oracle PL/SQL is a procedural language, not a format for defining data models in this context.

NEW QUESTION # 35
Which is a valid method of logging messages to the execution log in APEX applications?

A. apex_debug.info ('SAL for :ENAME ||' increased by 19.');
B. apex_automation.log_info ('SAL for ' || :ENAME || ' increased by 19.');
C. apex_error.add_error ('SAL for ' || :ENAME || ' increased by 19.');

Answer: B

Explanation:
Logging in APEX tracks runtime activity:
A . apex_automation.log_info: Correctly logs an informational message to the execution log for automation tasks (e.g., workflows). The syntax || :ENAME || concatenates the item value (e.g., "JOHN") into "SAL for JOHN increased by 19." It's stored in APEX_AUTOMATION_LOG, viewable in Monitoring.
B . apex_debug.info: Logs to debug output, but the syntax is flawed (:ENAME || isn't concatenated properly; should be 'SAL for ' || :ENAME || ...). It's valid only when debugging is enabled (e.g., APEX_DEBUG.ENABLE).
C . apex_error.add_error: Adds an error to the error stack for user display, not a log message.
Technical Insight: log_info is non-intrusive, unlike apex_debug, which requires debug mode, or apex_error, which signals failure.
Use Case: Logging salary updates in a scheduled job without debug overhead.
Pitfall: Ensure :ENAME is in scope (e.g., page item).

NEW QUESTION # 36
Which two are valid evaluation points for Authorization Schemes?

A. Never
B. Once per user
C. Once per session
D. Once per page view

Answer: C,D

Explanation:
Authorization Schemes in APEX can be evaluated at:
Once per page view: Checks authorization each time a page is rendered.
Once per session: Checks once per user session, caching the result.
Once per user and Never are not valid evaluation points in the Authorization Scheme settings.

NEW QUESTION # 37
Which two tasks can be performed by the APEX Assistant when you create an application using the "Create App using Generative AI" option?

A. Create a Generative AI service.
B. Add a Dashboard page.
C. Create the application blueprint.
D. Update the App icon with a custom image.

Answer: B,C

Explanation:
The "Create App using Generative AI" feature in APEX Assistant leverages natural language processing to automate application creation. When invoked:
Create the application blueprint: APEX Assistant generates a foundational structure (blueprint) for the application, including pages, regions, and navigation, based on the user's natural language input (e.g., "Create an app to manage employees"). This blueprint serves as the starting point, which developers can refine.
Add a Dashboard page: The Assistant can interpret requests for specific page types, such as dashboards, and include them in the generated app. Dashboards typically feature charts, summaries, or key metrics, and this is a common task supported by the AI-driven creation process.
Create a Generative AI service: This is not a task performed during app creation; instead, it's a prerequisite configuration step done separately in the Instance Administration settings.
Update the App icon: While app icons can be customized manually post-creation, this is not an automated task performed by APEX Assistant during the generative process.
This feature streamlines development by interpreting intent and building functional components, saving significant time compared to manual creation.

NEW QUESTION # 38
In a faceted search page, facets can be displayed as different UI types. Which two facet item types are supported in the faceted search region?

A. Date Picker
B. Range
C. Popup LOV
D. Checkbox Group

Answer: B,D

Explanation:
In Oracle APEX, a faceted search page allows users to filter data using facets, which are displayed as UI components in the Faceted Search region. According to the Oracle APEX documentation, the supported facet item types include:
Range: Used for numeric or date ranges, allowing users to filter data within a specified range (e.g., salary or hire date).
Checkbox Group: Used for multi-select options, enabling users to select multiple values from a list (e.g., departments).
Other types like Popup LOV and Date Picker are valid item types in APEX but are not natively supported as facet types in the Faceted Search region. Popup LOV is typically used for single-value selection in forms, and Date Picker is a standalone item type, not a facet-specific UI.

NEW QUESTION # 39
......

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