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| Section | Weight | Objectives |
|---|---|---|
| Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
| Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Data Modeling and Semantic Design | 30% | - Data Source Connections and Integration
|
| Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Governance, Security, and Administration | 25% | - User and Access Governance
|
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NEW QUESTION # 48
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,D
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 # 49
Which statement best describes the primary purpose of the Oracle Analytics Cloud Catalog?
Answer: D
Explanation:
The Oracle Analytics Catalog serves as the organized repository for analytical content. It stores and manages objects that users create and consume, including analyses, dashboards, prompts, Publisher reports, data models, templates, and related analytics artifacts. Content is organized into folder structures and governed through object-level access permissions.
Oracle distinguishes between personal and shared catalog locations. My Folders contains content belonging to an individual user, while Shared Folders contains objects intended to be accessible to authorized users or groups. The Catalog also supports operations such as searching for content, assigning permissions, moving or copying objects, and-in Publisher scenarios-uploading, downloading, and managing translations.
The Catalog isn't a relational database repository and therefore doesn't store database indexes or physical database schemas as its core purpose. It also doesn't generate warehouse tables or replace Oracle Database security. Database-level access control remains separate from analytics-content authorization.
Consequently, option B accurately describes the Catalog as the central organizational and management facility for Oracle Analytics content.
Reference Topic: Understanding Oracle Analytics Cloud - Catalog and Analytics Content Management
NEW QUESTION # 50
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: D
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 # 51
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: C,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 # 52
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: C
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 # 53
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