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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance, Security, and Administration | 25% | - Content Lifecycle Management
|
| Topic 2: Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Topic 3: Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
| Topic 4: Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Topic 5: Data Modeling and Semantic Design | 30% | - Data Source Connections and Integration
|
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NEW QUESTION # 95
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?
Answer: D
Explanation:
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
NEW QUESTION # 96
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,B
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 # 97
An author wants to change a column heading and control whether repeated values display in the results.
Which two column formatting features should the author use?
Answer: E,F
Explanation:
The required capabilities are both available through Column Properties # Column Format . Custom Headings allows the report author to override the default folder or column heading presented in the analysis.
This affects the displayed label without modifying the underlying semantic-model column definition. Oracle also permits variables and formatting to be incorporated into custom heading values where appropriate.
Value Suppression controls how consecutive duplicate values are displayed. When the same attribute value occurs repeatedly in adjacent result rows, suppression can display the value only once instead of repeating it on every row. This improves readability in analyses containing grouped or naturally repetitive dimensional data.
Content Paging concerns result retrieval and rendering rather than headings or duplicates. Fixed Headers keeps headings visible during scrolling but does not rename them. Save as Default has a different purpose and does not directly meet either stated requirement.
Oracle's documentation explicitly associates Custom Headings and Value Suppression with the Column Format tab, directly validating B and C.
Reference Topic: Managing and Creating Analyses, Views, and Content - Column Properties and Column Formatting
NEW QUESTION # 98
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: D
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 # 99
You have been tasked with building an analysis that requires data from two subject areas. How do you accomplish this?
Answer: D
Explanation:
Oracle Analytics supports cross-subject-area analyses , so the appropriate approach is to create the analysis using the primary subject area and then add another compatible or related subject area through the Analysis Editor.
Oracle's documented workflow starts by selecting one subject area and adding the initial analysis columns.
The author then uses Add/Remove Subject Areas in the Subject Areas pane to include another subject area and select the additional required columns. Where local dimensions are involved, Oracle recommends including an appropriate measure from each participating subject area so that the semantic model can resolve the query correctly.
The Analysis Editor is therefore capable of querying multiple subject areas when the semantic relationships support the requested combination. Modifying the semantic model simply to expose every required column in one subject area is unnecessary when compatible subject areas already exist. UNION is a set operation used for combining compatible result sets and is not the standard mechanism for selecting related columns across subject areas. MERGE and dashboard prompts likewise do not establish semantic relationships.
Thus, the supported workflow is to create one analysis and add the second related subject area.
Reference Topic: Managing and Creating Analyses, Views, and Content - Cross-Subject-Area Analyses
NEW QUESTION # 100
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