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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using Layout Editor - Creating Excel and eText templates - Using RTF Template Builder - Formatting and customizing reports |
| Topic 2: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Performance and caching - Administration - Security and application roles |
| Topic 3: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 4: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Publisher administration - Bursting and delivery - Scheduling reports - Report translations - Managing report data sources |
| Topic 5: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Formatting data - Managing selection steps - Using prompts and variables - Managing filters |
| Topic 6: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing views - Managing analytics content - Creating and managing analyses |
| Topic 7: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Topic 8: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Topic 9: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| Topic 10: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Enhancing dashboards and briefing books - Creating and designing dashboards |
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NEW QUESTION # 90
A report uses sensitive data. The owner wants cached report data to be separated by user, and users should be able to request fresh data. Which two caching settings support these requirements?
Answer: C,E
Explanation:
The correct settings are User Can Refresh Report Data and User Level caching . Oracle Analytics Publisher defines User Level caching as maintaining a separate cache for each user. With this option enabled, the cached data presented to one user comes from that user's private cache rather than a cache shared with other consumers. This is particularly relevant when report results contain user-sensitive or security-filtered information.
The User Can Refresh Report Data property addresses the second requirement. When enabled, Publisher provides the user with the ability to request a refresh from the Report Viewer. Publisher then generates a new data set instead of continuing to use the existing cached copy.
Caching Duration only controls how long cached data remains valid; setting it to zero does not establish user- specific isolation as described in the scenario. Disabling data caching would eliminate the caching requirement altogether rather than maintaining secure per-user caches. Document Caching stores the generated report document-data plus layout-not merely the parameter list. Clearing all caches following every execution would undermine the performance purpose of caching.
Therefore, A provides freshness on demand , while D supplies user-level cache isolation .
Reference Topic: Managing and Securing Oracle Analytics Publisher - Report Properties and Caching
NEW QUESTION # 91
Which action creates a reusable calculated metric that remains available within the current analysis?
Answer: A
Explanation:
Adding a Calculated Column allows an analysis author to derive a new analytical value from existing columns or expressions without changing the underlying physical source data. The calculation becomes part of the current analytical definition and can be referenced throughout the analysis where supported.
Calculated expressions are useful for metrics such as profit percentage, variance, adjusted revenue, unit price, ratios, and other values derived from existing measures or attributes. This provides flexibility at the content- authoring layer while leaving centrally governed semantic-model objects unchanged.
The scope described in the question is important: the calculation must remain reusable within the current analysis . If the organization needed the metric governed and reusable across many analyses, defining the calculation centrally in the semantic model would normally provide stronger enterprise consistency.
A Dashboard Prompt supplies runtime values and filtering rather than creating calculated metrics. BAR files are migration artifacts and don't constitute an analysis calculation mechanism. Application Roles control authorization and permissions.
Therefore, among the available choices, Adding a Calculated Column is the function that creates the required derived metric in the analysis. The uploaded question explicitly associates this behavior with a calculated column.
Reference Topic: Managing and Creating Analyses, Views, and Content - Calculated Columns and Derived Metrics
NEW QUESTION # 92
An author creates an analysis that includes at least one hierarchical column and clicks the Results tab. What view is automatically created for the analysis?
Answer: E
Explanation:
Oracle Analytics determines the default result view according to the types of columns included in the analysis. Oracle documentation states that when an analysis contains only attribute and measure columns, the Compound Layout initially contains a table . However, when the analysis contains at least one hierarchical column , Oracle automatically creates a pivot table view .
This behavior is intentional because a pivot table is designed to represent hierarchical structures effectively. It supports expansion and collapse of hierarchy members, multidimensional presentation, and hierarchical navigation in ways that a conventional flat table doesn't.
A trellis view is useful for repeated visual comparisons across dimensions but isn't automatically generated merely because a hierarchy is present. Graph and gauge views must generally be added explicitly when appropriate. Likewise, the statement that every analysis defaults to a table is incorrect because Oracle specifically distinguishes hierarchical analyses from analyses containing only attribute and measure columns.
Therefore, once the author selects Results for an analysis containing a hierarchical column, the default result visualization is a Pivot Table . This behavior is directly documented in Oracle's Analysis Results guidance.
Reference Topic: Managing and Creating Analyses, Views, and Content - Hierarchical Columns and Default Views
NEW QUESTION # 93
A report editor wants parameter changes to render immediately without requiring users to click Apply. The parameter must also allow multiple selections. Which two report-level parameter settings support this behavior?
Answer: B,D
Explanation:
The required configuration combines Show Apply Button = False with a Checkboxes parameter presentation. Oracle Analytics Publisher defines the Show Apply Button property as controlling whether users must explicitly submit changed parameter values. When this property is set to False, Publisher removes the Apply button and automatically regenerates the report after a parameter selection or entry changes. This directly satisfies the requirement for immediate rendering.
Checkboxes are appropriate for the second requirement because they permit the user to select multiple parameter values. Oracle's Report Viewer documentation identifies check boxes as a prompt control specifically intended for multiple selections. By contrast, Parameter Location and Parameter Label Location affect only the visual positioning of parameter controls and labels; they have no effect on refresh behavior or selection cardinality. Disabling a general Show property would suppress controls rather than implement automatic parameter processing.
Therefore, D controls when the parameter change is applied , while E controls how many values the user can select . Together they satisfy both functional requirements.
Reference Topic: Oracle Analytics Publisher - Report Parameters and Report Viewer Configuration
NEW QUESTION # 94
While creating a data model in Oracle Analytics Publisher, a developer needs to retrieve data directly from an Oracle Database using a custom SQL statement. Which data set type should be used?
Answer: D
Explanation:
A SQL Query Data Set is the appropriate Publisher data-set type when a report data model must retrieve relational data by executing a custom SQL statement. In the Data Model Editor, the developer selects New Dataset # SQL Query , chooses the required configured data source, and then enters a Standard SQL statement or invokes Query Builder to construct the statement graphically.
Oracle Analytics Publisher supports SQL Query Data Sets against Oracle Database and other supported relational sources. The SQL can contain standard SELECT logic and can also be extended with supported bind variables and other Publisher capabilities where required. This gives the developer direct control over the data retrieved for the report.
An XML Data Set consumes XML-based data rather than running relational SQL. An Excel Data Set retrieves spreadsheet content, while generic file-based options don't provide direct execution of a custom Oracle Database SQL statement.
Oracle's official documentation explicitly instructs developers to create an SQL Query dataset for this requirement. Therefore, C directly matches the described data-access method.
Reference Topic: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher - SQL Query Data Sets
NEW QUESTION # 95
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