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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Formatting and customizing reports - Using Layout Editor - Creating Excel and eText templates - Using RTF Template Builder |
| Topic 2: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Report translations - Bursting and delivery - Publisher administration - Scheduling reports - Managing report data sources |
| Topic 3: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing views - Creating and managing analyses |
| Topic 4: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Creating and designing dashboards - Dashboard prompts and pages |
| Topic 5: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| Topic 6: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Using prompts and variables - Formatting data - Managing filters - Managing selection steps |
| Topic 7: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Topic 8: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Security and application roles - Performance and caching |
| Topic 9: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Topic 10: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
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NEW QUESTION # 28
A report should exclude products with zero sales before any ranking or sorting occurs. Which Oracle Analytics feature should be used?
Answer: B
Explanation:
Among the provided choices, Selection Step is the intended answer. Selection steps allow an analysis author to refine which attribute or hierarchy members remain visible and can be arranged in a defined sequence.
They support operations such as keeping or removing members and applying condition-based member selection, including conditions based on measures such as Sales.
Oracle distinguishes selection steps from conventional filters. A normal column filter is applied before query aggregation , while selection steps operate after aggregation and affect the members displayed without changing already-calculated aggregate values. Selection steps can also be sequenced so that one refinement occurs before a later Top N or other member-selection operation.
There is a wording weakness in this item. If "before any ranking" means before query aggregation and ranking at the SQL level, a conventional analysis filter such as Sales < > 0 would be the cleaner technical mechanism, but Filter isn't one of the answer choices . Of the listed options, Selection Step is the only feature capable of removing members as part of analytical result refinement.
Dashboard Prompts provide runtime input; Conditional Formatting only changes appearance; Narrative View controls presentation.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Selection Steps
NEW QUESTION # 29
Following a migration to production, users receive authorization errors when accessing shared Publisher reports despite successful authentication. Which area should the administrator verify first?
Answer: D
Explanation:
Successful authentication proves the user's identity, but it does not automatically authorize access to Publisher catalog content. Oracle explicitly distinguishes authentication from authorization: after a user is authenticated, access to Publisher resources is controlled through application-role mappings, permission grants, catalog permissions, and associated security policies.
Following migration, the administrator should therefore verify that users or groups are correctly mapped to the expected application roles and that those roles retain the necessary catalog permissions on the shared Publisher folders, reports, data models, and any dependent catalog objects. Oracle notes that a role with functional Publisher privileges still can't act on catalog objects until the corresponding catalog permissions are granted.
Database optimizer statistics might affect query performance but wouldn't normally produce a Publisher authorization error. Dashboard layout controls presentation, and browser caching doesn't determine application-role authorization.
The uploaded source's own explanation confirms this authentication-versus-authorization distinction, although its extracted Correct Answer marker is displaced. Oracle documentation independently confirms that Catalog permissions and application role assignments are the first security area to inspect.
Reference Topic: Managing and Securing Oracle Analytics Publisher - Authentication, Authorization, Roles, and Catalog Permissions
NEW QUESTION # 30
A scheduled report job uses a schedule trigger. The SQL query in the trigger returns no data when the job is scheduled to run. What is the result?
Answer: E
Explanation:
The scheduled job instance is skipped . Oracle Analytics Publisher defines a Schedule Trigger as a SQL query that is executed when the scheduled report job is triggered, before the report itself runs. The returned result determines whether the execution condition has been satisfied.
Oracle states explicitly that if the trigger SQL returns data , the associated report job executes. If the SQL query returns no data , the job instance is skipped. This mechanism allows report execution to depend on a business or technical condition. For example, a report could execute only after an ETL process has completed, only when transactions exceed a specified amount, or only when new records have appeared.
The trigger doesn't convert the job into a bursting job, nor does Publisher execute an empty report merely with a warning. The scheduled job definition also isn't deleted; only that execution instance is skipped. For recurring schedules, subsequent trigger evaluations can still occur according to the configured recurrence and retry behavior.
Therefore, a no-row result from the Schedule Trigger means its condition evaluated as not satisfied and the current job instance is skipped .
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Schedule Triggers
NEW QUESTION # 31
An author wants to limit which members are displayed in an analysis without changing the resulting values like a filter would. Which two statements describe selection steps?
Answer: C,E
Explanation:
Selection steps differ fundamentally from conventional filters in their position within analytical processing.
Oracle states that filters are evaluated before aggregation , whereas selection steps are applied after the query has been aggregated . As a result, selection steps determine which members are displayed without recalculating the previously established aggregate values.
For example, assume a hierarchy contains members totaling 100. If an ordinary filter removes one member before aggregation, the measure total can change. If a selection step removes that member after aggregation, the displayed membership changes while the aggregate can remain 100. This behavior is precisely why selection steps are valuable for analytical member manipulation such as Keep Only, Add, Remove, or condition-based selections.
Within classic analyses, Oracle supports creation of selection steps for attribute columns and hierarchical columns . Measure columns can be used to formulate conditions for selection steps, but selection steps aren't directly created for measures themselves.
Selection steps don't replace filters; both serve distinct analytical purposes. They also aren't restricted to pivot tables.
Therefore, C and D correctly identify their applicable column types and their post-aggregation effect on displayed members.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Selection Steps
NEW QUESTION # 32
Which Oracle Analytics Cloud capability best differentiates governed analytics from purely self-service analytics?
Answer: D
Explanation:
The defining characteristic of governed analytics is the use of shared, centrally controlled metadata and business logic. Oracle Analytics semantic models provide a common layer where administrators and data modelers can define dimensions, measures, hierarchies, relationships, calculations, security rules, and business-oriented terminology once and expose those definitions consistently through subject areas.
This avoids a major risk inherent in unmanaged self-service analytics: different users creating different interpretations of the same metric. For example, if each department independently defines Revenue, Margin, Customer Count, or Fiscal Quarter, reports can produce contradictory business results even though they use the same underlying source data.
Governance doesn't mean administrators must create every report. Business users can still independently create analyses, dashboards, and other content against approved subject areas. Nor does governed analytics restrict users to spreadsheets. Instead, governance establishes a controlled semantic foundation while preserving analytical self-service.
Oracle specifically describes the semantic model as a business-oriented abstraction layer that incorporates semantics and governance rules. Therefore, shared metadata and centrally managed business definitions are what most clearly distinguish governed analytics, making D correct.
Reference Topic: Understanding Oracle Analytics Cloud - Governed Analytics and Shared Semantic Metadata
NEW QUESTION # 33
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