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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Scheduling reports - Managing report data sources - Publisher administration - Bursting and delivery - Report translations |
| Topic 2: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| Topic 3: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Topic 4: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Topic 5: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Administration - Performance and caching |
| Topic 6: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Creating and designing dashboards - Dashboard prompts and pages - Enhancing dashboards and briefing books |
| Topic 7: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing views - Creating and managing analyses |
| Topic 8: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Creating Excel and eText templates - Formatting and customizing reports - Using RTF Template Builder - Using Layout Editor |
| Topic 9: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 10: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing selection steps - Using prompts and variables - Formatting data - Managing filters |
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質問 # 99
Which statement best describes a Repository Variable in Oracle Analytics Cloud?
正解：D
解説：
A Semantic Model (Repository) Variable stores a centrally defined value that can be referenced by analyses, dashboards, filters, expressions, and other semantic-model logic. Oracle defines repository variables as values maintained within the semantic model rather than supplied interactively by individual report consumers.
Repository variables can be static or dynamic . A static repository variable retains its configured value until an administrator changes it. A dynamic repository variable is refreshed from data returned by an initialization query. Typical shared values include organizational constants, current reporting periods, or other centrally managed values that should be applied consistently.
Option A instead describes a Presentation Variable, which can be populated by a user's prompt selection.
Option B more closely describes a Session Variable, whose value is specific to a user's session and is commonly initialized when the user logs in. Option D doesn't describe repository-variable scope because a repository variable can persist across many analysis executions.
Oracle's current documentation calls these Semantic Model (Repository) Variables , preserving the repository terminology used in Classic Analytics. Therefore, the most accurate description is a centrally managed value reusable across analytical content .
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Repository Variables
質問 # 100
An administrator needs to see how many users are signed in to the service and view detailed information about each signed-in user. What should the administrator use?
正解：C
解説：
The intended administrative function is Manage Sessions . Oracle documents session monitoring as the mechanism for viewing the total number of active sessions and detailed information about currently signed-in users. Available details include the user identifier, browser information, login time, last-access time, and associated query activity.
In current Oracle Analytics Cloud interfaces, this functionality is surfaced through Console # Sessions and Query Logs , where the Sessions section displays the total number of sessions and user details. Earlier and related Oracle Analytics interfaces expose the same capability as Administration # Manage Sessions . Since that is the terminology supplied by the answer options, C is the correct examination response.
Application Roles manage authorization membership rather than active sessions. Save Content with HTML Markup is a specific security privilege controlling whether HTML-bearing content can be saved. Manage Privileges configures functional privileges but doesn't itself provide the active-user session list. Catalog monitoring similarly doesn't answer the requirement to enumerate currently signed-in users.
Therefore, Manage Sessions is the correct functional capability, with Sessions and Query Logs being the current OAC Console presentation of that functionality.
Reference Topic: Managing Administration, Security, and Performance - Monitoring Users and Sessions
質問 # 101
An analyst wants an analysis to always display data for the currently logged-in user's assigned sales region without requiring manual input. Which variable type is most appropriate?
正解：B
解説：
A Session Variable is the appropriate choice because its value is associated with an individual user's Oracle Analytics session. Oracle states that session variables are initialized when a user signs in and remain available throughout that user's browsing session. A non-system session variable can therefore hold contextual values such as the user's department, organizational unit, or SalesRegion .
For this scenario, an initialization block can retrieve the user's assigned region during authentication. An analysis can reference that session variable in a data filter, causing each user to receive automatically filtered results without entering a region manually. Oracle explicitly uses user department and sales region as examples of session-variable values.
A Presentation Variable is normally populated interactively through a dashboard or analysis prompt, which violates the requirement for no manual input. A semantic model/repository variable generally holds a value shared more broadly rather than a user-specific login value. A Request Variable temporarily overrides a session variable for an individual request.
Therefore, Session Variable directly provides the required user-specific, login-initialized analytical context.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Session Variables
質問 # 102
An author wants to combine results from two subject areas in an analysis and asks whether the Analysis Editor can create joins between subject areas. Which approach should the author use?
正解：E
解説：
When the objective is to stack separate result sets , the Analysis Editor supports set operations such as UNION, UNION ALL, INTERSECT, and DIFFERENCE . Oracle documents a specific Combine Results function that lets authors create criteria from another subject area and apply a set operator to the two query result sets.
Set operations, however, aren't relational join definitions. They combine compatible result sets and require matching numbers of columns and compatible data types. They don't create primary-key/foreign-key or other semantic relationships between subject areas.
Cross-subject-area relational behavior depends on the semantic model , including common dimensions, facts, and relationships defined for the participating subject areas. Oracle also supports cross-subject-area analyses using conformed dimensions, but those relationships derive from model metadata rather than a join created ad hoc through set-operation syntax.
Dashboard prompts simply provide runtime filtering and don't create data relationships. Likewise, adding a second query doesn't itself define semantic join logic.
Therefore, the accurate distinction is: use set operators when stacking compatible result sets; define and govern actual joins through the semantic model .
Reference Topic: Managing and Creating Analyses, Views, and Content - Combining Subject Areas and Set Operations
質問 # 103
A developer is using Query Builder to create a SQL query from multiple tables. Which two actions are used to define the query in Query Builder?
正解：A、F
解説：
Query Builder provides a graphical mechanism for defining relational SQL data sets. When multiple tables are involved, the developer must first establish the logical relationship between them. Typically, this means creating a join using matching columns , such as a parent table's primary key and a child table's corresponding foreign key.
After the tables and relationships are established, the required output fields are selected by choosing the check boxes beside the column names in Query Builder's design interface. Those selected fields become part of the generated SELECT list. Oracle's Query Builder documentation and examples show precisely this pattern:
create the relationship between tables, select the desired columns, optionally define conditions and sorting, and then save the generated SQL.
A report definition doesn't need to be created before building the query. Dashboard definitions are unrelated to Publisher SQL Query datasets. Sample-data generation occurs after the query has been defined sufficiently to execute, and parameters are optional rather than prerequisites for creating table relationships.
Accordingly, the two essential query-definition operations are joining the related tables and selecting the required columns , making C and E correct.
Reference Topic: Exploring and Creating Reports and Data Models - Query Builder, Joins, and Column Selection
質問 # 104
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