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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Topic 2: Governance, Security, and Administration | 25% | - User and Access Governance
|
| Topic 3: Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
| Topic 4: Data Modeling and Semantic Design | 30% | - Data Source Connections and Integration
|
| Topic 5: Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
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NEW QUESTION # 85
A dashboard designer wants users to choose a department once, with every analysis on the dashboard responding to that selection. What is the recommended implementation?
Answer: D
Explanation:
A Dashboard Prompt combined with a Presentation Variable provides a centralized runtime control that can be reused by multiple analyses on the same dashboard. Oracle defines a presentation variable as a variable whose value is populated from a column prompt or variable prompt. Each time the user changes the prompt selection, Oracle updates the presentation variable with the newly selected value.
The dashboard analyses can reference that variable in their filters or expressions. Consequently, the user selects Department once, and all appropriately configured content responds using the same runtime value.
This avoids duplicating prompt logic within each individual analysis and improves maintainability.
Applying separate filters manually would require maintaining similar logic in every analysis. Creating distinct dashboards for each department creates unnecessary duplication and version-management overhead. Multiple analysis-level prompts would also produce a fragmented user experience when a single dashboard-level selection is required.
Oracle's documentation explicitly states that presentation variables can be created through prompts and that their values change when users make new prompt selections. Therefore, the recommended architecture is one Dashboard Prompt that sets a Presentation Variable consumed by the related analyses.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Dashboard Prompts and Presentation Variables
NEW QUESTION # 86
What happens when a user drills on an attribute column in the Analysis Editor?
Answer: E
Explanation:
Drilling on an attribute column performs what Oracle describes as a filter drill . When the user clicks a drillable attribute value, Oracle adds the next lower level to the displayed analysis and creates a filter corresponding to the member on which the user drilled.
Oracle's documentation states that drilling in an attribute column affects all relevant views. After the value is clicked, a column is added to the analysis and a filter is automatically created and listed on the Criteria tab . This distinguishes attribute-column drilling from drilling in hierarchical columns, where expanding or collapsing hierarchy members generally affects only the particular hierarchy view without creating the same analysis-wide filter drill behavior.
The drill operation therefore modifies the analytical context; the underlying criteria don't simply remain unchanged. Oracle also doesn't automatically save the resulting drill filter as a reusable named filter, nor does a drill operation create a dashboard prompt. Those are separate authoring operations.
Consequently, the specific outcome described by Oracle is exactly option A: drilling an attribute column automatically introduces the corresponding filter and adds the lower-level column to the analysis criteria.
Reference Topic: Managing and Creating Analyses, Views, and Content - Drilling in Analysis Results
NEW QUESTION # 87
A user has downloaded a password-protected wallet and is adding a new SQL Developer connection to an Autonomous Data Warehouse. Which two settings are required in the New Database Connection dialog box?
Answer: E,F
Explanation:
The intended answer is B and D , but the terminology is version-specific. Oracle SQL Developer historically used the connection type Cloud PDB for wallet-based Autonomous Database connections. The user selected Cloud PDB, browsed to the downloaded client-credentials ZIP file, supplied the wallet/keystore password, selected the database service, tested the connection, and saved it.
Oracle subsequently renamed this connection type Cloud Wallet . Current Oracle documentation specifies Cloud Wallet, the client-credentials configuration file, database user credentials, and an appropriate service name. Oracle explicitly notes that Cloud PDB is the older name , including in SQL Developer 18.2-era workflows. Therefore, option B remains the intended examination choice because Cloud Wallet isn't offered among the options.
The service list represents database service names such as high, medium, or low service configurations; it doesn't represent OCI compartments. ODBC and Basic connections aren't the wallet-based configuration described.
Accordingly, B and D match the historical workflow reflected by the question, while candidates should recognize that Cloud Wallet is the current SQL Developer terminology .
Reference Topic: Connecting to Data Sources - SQL Developer Connections to Autonomous Data Warehouse
NEW QUESTION # 88
A report designer needs to create interactive prompts in an Oracle Analytics Publisher (OAP) report to allow users to filter by sales region and a specific date. Which two parameter types would be most suitable?
Answer: A,C
Explanation:
A List of Values (LOV) mechanism and a Date parameter provide the appropriate controls for this requirement. For sales region, users should select from a predefined, controlled collection of valid business values rather than entering arbitrary text. In Publisher, this is normally implemented using a Menu parameter associated with an LOV . The LOV can contain fixed values or be populated dynamically through a SQL query, thereby ensuring that the regions presented to users correspond to valid source-data values.
For the specific-date requirement, Publisher provides the Date parameter type. A Date parameter exposes an appropriate date-selection interface and passes a date value to the underlying data set using the configured date datatype and Java date format.
Boolean parameters are intended for true/false-style conditions rather than selecting geographical members.
Expression and XML are not the appropriate interactive parameter controls for these requirements.
Technically, Oracle terminology treats the LOV as the value source associated with a Menu parameter; therefore, option C represents the intended region-selection mechanism in this question.
Reference Topic: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher - Parameters and Lists of Values
NEW QUESTION # 89
A finance report must display a summary chart, a pivot table, and detailed transactional data within the same formatted report. Which Oracle Analytics Publisher capability supports this requirement?
Answer: D
Explanation:
Oracle Analytics Publisher layouts can contain multiple report components within the same layout , allowing different representations of a report's data to be assembled into a single formatted document. The Layout Editor Components pane includes visual and tabular components such as charts, pivot tables, tables, images, and other elements that can be dragged into the report layout.
For this finance-report requirement, the author can place a summary chart near the top, use a pivot table for multidimensional financial analysis, and include a conventional table for transaction-level detail. Layout grids and other layout controls can be used to position these components appropriately within the report.
A Dashboard Prompt is intended for runtime filtering and doesn't construct Publisher layout sections.
Repository Variables provide centrally managed values rather than report-design components. Data Gateway supplies remote source connectivity.
Oracle documentation explicitly states that Layout Editor provides a drag-and-drop interface and that its Components pane includes objects such as charts and pivot tables. This architecture supports combining the required presentation elements within one report.
Therefore, C. Multiple layout components within a single report is correct.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Layout Components
NEW QUESTION # 90
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