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| Section | Weight | Objectives |
|---|---|---|
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Formatting data - Using prompts and variables - Managing selection steps - Managing filters |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using Layout Editor - Formatting and customizing reports - Creating Excel and eText templates - Using RTF Template Builder |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Performance and caching - Administration |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Enhancing dashboards and briefing books - Creating and designing dashboards |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Managing report data sources - Report translations - Bursting and delivery - Publisher administration - Scheduling reports |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing views - Managing analytics content - Creating and managing analyses |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
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NEW QUESTION # 53
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: B,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 # 54
An administrator needs to ensure that only members of the Finance department can modify a shared dashboard while all other users have read-only access. Which Oracle Analytics Cloud feature should be configured?
Answer: A
Explanation:
Catalog Object Permissions provide the required authorization control for shared Oracle Analytics content.
Dashboards, analyses, folders, and related catalog objects can be assigned permissions that determine which users or application roles can read, modify, delete, or otherwise manage them. For this scenario, the administrator can grant the Finance application role appropriate modification privileges while granting other authorized consumers read-only access.
Oracle recommends assigning access through roles rather than individual users wherever possible. This simplifies administration because users inherit the catalog permissions associated with their application-role membership. Shared-folder permissions can also be used so that contained objects inherit a consistent security configuration.
A Dashboard Prompt controls filtering and runtime input, not modification rights. Data Gateway provides connectivity to remote or on-premises sources. Query Cache improves analytical query performance but has no role in dashboard authorization.
The uploaded source identifies Catalog Object Permissions for this scenario, and Oracle documentation confirms that shared analytics content can be secured using permissions assigned to users and roles.
Reference Topic: Managing Administration, Security, and Performance - Catalog Security and Object Permissions
NEW QUESTION # 55
A reporting analyst creates a dashboard that includes multiple analyses sharing the same filter criteria. Users complain that updating each analysis separately is difficult. Which design approach improves maintainability?
Answer: A
Explanation:
A shared Dashboard Prompt with Presentation Variables centralizes user input and allows multiple dashboard analyses to reference the same runtime selection. Oracle defines a Presentation Variable as a variable populated through a dashboard column prompt or variable prompt. Each time the user changes the prompt selection, the presentation variable is assigned the selected value or values.
Analyses on the dashboard can then reference the variable in filters, expressions, titles, or other supported locations. This allows a department, fiscal period, region, or comparable filter criterion to be selected once and reused across multiple dashboard components.
The architecture substantially improves maintainability because the dashboard-level interaction is managed centrally rather than requiring a separate prompt or manually maintained filter mechanism for every analysis.
Independent prompts would recreate the exact maintenance problem stated in the scenario. Conditional Formatting changes visual presentation rather than providing shared filtering, while exporting analyses creates static outputs and eliminates the interactive dashboard experience.
Therefore, the correct design is A. Use a shared Dashboard Prompt with Presentation Variables .
Reference Topic: Designing, Creating, and Enhancing Dashboards - Dashboard Prompts and Presentation Variables
NEW QUESTION # 56
A report requires users to select a department from a predefined list before the query executes. Which Oracle Analytics Publisher feature satisfies this requirement?
Answer: D
Explanation:
A List of Values (LOV) parameter provides the controlled runtime selection required in this scenario. In Oracle Analytics Publisher, a developer first defines a List of Values, which can contain either fixed values or values returned dynamically by a SQL query. The developer then creates a Menu parameter and associates that parameter with the LOV.
For a Department prompt, the LOV might return Department Name as the user-facing label and Department ID as the value passed into the report query. The selected value can then be referenced through a bind variable, allowing the underlying data set to retrieve only data corresponding to the user's department selection.
Oracle Publisher parameters support interaction with report data at runtime, while Menu parameters specifically present predefined lists. This provides controlled input and prevents users from entering arbitrary department identifiers.
Bursting is concerned with splitting and distributing report output. Translation functionality localizes report content. Layout Editor controls report presentation rather than query parameters.
Therefore, the feature that satisfies a predefined department selection before query execution is the List of Values parameter mechanism , making D correct.
Reference Topic: Exploring and Creating Reports and Data Models - Parameters and Lists of Values
NEW QUESTION # 57
You created a product-type dashboard prompt and applied it to the dashboard. When a user applies the prompt, two reports refresh as expected but two others do not. What are two possible reasons for this?
Answer: B,E
Explanation:
A dashboard prompt can affect an embedded analysis only when the analysis is configured to accept the prompt's value. A protected filter deliberately prevents a dashboard prompt from overriding that filter.
Oracle describes protected versus unprotected filters specifically as a mechanism controlling whether dashboard prompt values can determine an analysis's results. Therefore, a protected filter is a direct explanation for one of the non-responsive reports.
The second issue is a mismatch between the prompt column formula and the analysis filter formula .
Prompt wiring depends on the relevant column identity and formula being compatible. If the analysis uses a modified formula while the prompt targets another formula, Oracle cannot automatically apply the prompt as intended.
By contrast, an Is Prompted filter is specifically intended to receive a prompt value and is therefore normally part of a working configuration. Cache expiration does not explain selective prompt incompatibility, and simply containing measure columns is not itself the documented cause.
The two failed analyses should therefore be inspected for protected filters and formula mismatches between their filtering expressions and the dashboard prompt.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Dashboard Prompt Interaction
NEW QUESTION # 58
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