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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Creating and designing dashboards - Enhancing dashboards and briefing books |
| Topic 2: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Topic 3: 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 4: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Topic 5: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Formatting data - Managing selection steps - Managing filters - Using prompts and variables |
| Topic 6: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Performance and caching - Security and application roles - Administration |
| Topic 7: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Scheduling reports - Report translations - Bursting and delivery - Managing report data sources - Publisher administration |
| Topic 8: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 9: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing views - Creating and managing analyses |
| Topic 10: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
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NEW QUESTION # 24
A designer creates a report directly from an Oracle Analytics Cloud subject area. The report includes calculations that depend on original column functions. Which risk should the designer consider?
Answer: B
Explanation:
The principal risk is that COUNT DISTINCT, AVG, and similar calculations can produce unexpected or different results when Publisher receives data that has already been summarized by Oracle Analytics .
When a report is created directly against a subject area, the BI Server performs semantic-model processing and aggregation before delivering the result set to Publisher. Publisher therefore does not necessarily receive the original detailed rows required to reproduce certain aggregate calculations accurately.
Oracle specifically cautions that subtotals and totals for subject-area reports are based on data already summarized by the BI Server. Functions requiring access to the original column-level data-Oracle explicitly identifies count distinct and average -can consequently return different results when reapplied within Publisher.
A data model is not mandatory when directly creating a subject-area report; direct subject-area reporting is specifically supported. Hierarchical columns are also not required and, in fact, have limitations in Publisher subject-area reports. The Create Report guide can directly query a subject area without requiring an intermediary Publisher data model.
Therefore, designers must understand the grain and aggregation state of data received from the semantic layer before introducing additional aggregate calculations.
Reference Topic: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher - Subject Area Reports
NEW QUESTION # 25
An administrator has replicated on-premises data to a cloud database and is updating RPD connection pools before migration. Which two connection-pool settings or checks should the administrator apply?
Answer: A,F
Explanation:
Before migrating a semantic model to Oracle Analytics Cloud, database connection information in every relevant connection pool must be updated for the cloud database. Oracle specifically requires the Call Interface to be Oracle Call Interface (OCI) for Oracle Database connections. In addition, for Oracle Analytics Cloud migration scenarios, the Data Source Name must contain the full connect string for the database containing the replicated data.
Oracle's current semantic-model migration guidance is explicit that a net service name isn't sufficient in this OAC scenario. This differs from some Oracle Analytics Server deployments where tnsnames.ora aliases can be supported. The cloud migration workflow therefore requires administrators to examine each connection pool, not merely the first connection associated with a database object.
ODBC isn't the recommended Oracle Database interface for this configuration, and restarting the BI Server after every individual connection-pool modification isn't part of the specified preparation procedure.
Thus, the required combination is OCI as the call interface and the complete database connect string as the Data Source Name , exactly matching D and E.
Reference Topic: Connecting to Data Sources and Migrating Artifacts - Preparing Semantic Models
/RPDs for Oracle Analytics Cloud
NEW QUESTION # 26
A developer is using Template Builder for Microsoft Word to create a translation file from an existing Oracle Analytics Publisher template. Which action creates the XLIFF translation file?
Answer: A
Explanation:
Template Builder for Microsoft Word provides dedicated translation tools for extracting translatable text from an RTF template into an XLIFF (.xlf) file . Oracle's documented procedure is to open the template with Template Builder installed and, from the Template Builder tools, choose Translation # Extract Text .
Publisher then extracts the template's translatable boilerplate strings and creates an XLIFF file.
Typical translatable strings include report titles, table headers, field labels, and static textual content intended to appear in generated output. Data supplied dynamically at runtime isn't extracted as template translation text.
The resulting XLIFF file can then be provided to a translator or edited with an XLIFF-compatible tool. After translation, it is associated with the original report template for the appropriate locale. Preview Translation is used later to test an already-created translation; it doesn't generate the initial XLIFF file. Uploading a localized RTF file represents a different localization strategy. Changing the user's report locale also doesn't perform text extraction.
Thus, Translation # Extract Text is the specific Template Builder command that creates the XLIFF translation file.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - XLIFF Translation
NEW QUESTION # 27
A business analyst wants to create governed reports while ensuring all users calculate Revenue consistently across departments. Which Oracle Analytics Cloud feature best supports this requirement?
Answer: B
Explanation:
A semantic model with shared business definitions is the correct mechanism for governed enterprise analytics. Oracle defines the semantic model as a metadata layer that maps underlying physical data sources into logical dimensions, measures, hierarchies, relationships, calculations, and presentation objects that reflect how the organization understands its business. This enables centrally defined measures such as Revenue to be calculated consistently regardless of which analyst, dashboard, or analysis consumes them.
After deployment, the semantic model is exposed to users through subject areas . Analysts can create analyses and dashboards using business-friendly objects without needing to understand physical schemas or reproduce calculation logic independently. Centralizing Revenue logic also reduces discrepancies caused by users implementing different spreadsheet formulas or workbook-specific calculations.
CSV files, personal formulas, and independently maintained workbook calculations are useful for self-service scenarios but don't provide the same level of semantic governance, consistency, security, or reusable enterprise definitions.
Therefore, option A directly satisfies the requirement for a trusted and consistently calculated Revenue metric across departments.
Reference Topic: Understanding Oracle Analytics Cloud - Semantic Models and Governed Analytics
NEW QUESTION # 28
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 # 29
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