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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Topic 2: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Performance and caching - Administration |
| Topic 3: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Topic 4: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Formatting data - Using prompts and variables - Managing selection steps - Managing filters |
| Topic 5: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Scheduling reports - Bursting and delivery - Publisher administration - Managing report data sources - Report translations |
| Topic 6: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| Topic 7: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 8: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Creating Excel and eText templates - Using RTF Template Builder - Formatting and customizing reports - Using Layout Editor |
| Topic 9: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Creating and designing dashboards - Dashboard prompts and pages - Enhancing dashboards and briefing books |
| Topic 10: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing views - Creating and managing analyses - Managing analytics content |
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NEW QUESTION # 80
A development team has completed new dashboards and BI Publisher reports. Before deploying them to production, they need a repeatable migration process that preserves dependencies and configuration. Which approach is recommended?
Answer: A
Explanation:
Oracle Analytics Cloud uses snapshots , which can be exported as BAR files , to provide a controlled and repeatable mechanism for migrating analytics content between environments. A snapshot can package supported service content and configuration, including catalog objects such as dashboards and analyses, Publisher artifacts, semantic-model content, application-role information, and other applicable configuration.
Oracle's documented migration workflow is to create a snapshot in the source environment, export the snapshot as a .bar file, import that BAR file into the target Oracle Analytics Cloud instance, and then restore the required components. The Custom restore option allows administrators to select which elements are transferred when the target environment contains configuration that must remain unchanged.
Manual catalog copying does not provide the same dependable migration of dependencies and service configuration. Recreating dashboards in production is inefficient and prone to configuration drift. PDF files are generated outputs and cannot recreate Analytics or Publisher objects.
Therefore, the repeatable Oracle-supported deployment mechanism represented in the choices is exporting and importing a snapshot using a BAR file .
Reference Topic: Connecting to Data Sources and Migrating Artifacts - Snapshots and BAR Migration
NEW QUESTION # 81
Following a migration to production, users receive authorization errors when accessing shared Publisher reports despite successful authentication. Which area should the administrator verify first?
Answer: D
Explanation:
Successful authentication proves the user's identity, but it does not automatically authorize access to Publisher catalog content. Oracle explicitly distinguishes authentication from authorization: after a user is authenticated, access to Publisher resources is controlled through application-role mappings, permission grants, catalog permissions, and associated security policies.
Following migration, the administrator should therefore verify that users or groups are correctly mapped to the expected application roles and that those roles retain the necessary catalog permissions on the shared Publisher folders, reports, data models, and any dependent catalog objects. Oracle notes that a role with functional Publisher privileges still can't act on catalog objects until the corresponding catalog permissions are granted.
Database optimizer statistics might affect query performance but wouldn't normally produce a Publisher authorization error. Dashboard layout controls presentation, and browser caching doesn't determine application-role authorization.
The uploaded source's own explanation confirms this authentication-versus-authorization distinction, although its extracted Correct Answer marker is displaced. Oracle documentation independently confirms that Catalog permissions and application role assignments are the first security area to inspect.
Reference Topic: Managing and Securing Oracle Analytics Publisher - Authentication, Authorization, Roles, and Catalog Permissions
NEW QUESTION # 82
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,D
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 # 83
An administrator wants to minimize the impact of frequently executed analytical queries on the underlying database while maintaining acceptable response times. Which combination provides the best solution?
Answer: D
Explanation:
The most effective combination is query caching plus an optimized semantic model . Oracle Analytics query caching stores previously generated query results so that compatible subsequent requests can be satisfied without repeatedly executing equivalent SQL against the underlying database. This reduces database workload, network traffic, and analytical response time for frequently repeated requests.
Caching alone, however, is not a substitute for sound semantic-model design. Proper logical relationships, aggregation behavior, source mappings, calculations, and physical connection configurations influence the efficiency of generated queries. Optimizing the model therefore addresses the cost of queries that do reach the source, while caching prevents unnecessary repetition of previously resolved requests.
Oracle also emphasizes that administrators need an appropriate cache-management strategy. Cache entries must be invalidated when source data or semantic-model definitions change so that users don't receive stale results.
Disabling caching increases database load. Duplicate subject areas add administrative complexity without inherently improving performance. Running every analysis every minute can substantially increase processing rather than reduce it.
Therefore, C provides the correct performance architecture: optimize query generation and use caching to avoid unnecessary source executions.
Reference Topic: Managing Administration, Security, and Performance - Query Cache and Semantic Model Performance
NEW QUESTION # 84
A BI Publisher developer needs to create a reusable report template that contains corporate branding, reusable formatting, and standard legal disclaimers for multiple reports. What is the recommended approach?
Answer: D
Explanation:
A Publisher subtemplate is specifically intended to centralize reusable layout and processing components so that they can be referenced from multiple report templates. Oracle defines a subtemplate as formatting functionality that is created once and reused either multiple times in one layout or across multiple report- layout files.
Common Oracle-documented use cases include reusable headers, footers, address blocks, conditional layouts, calculations, and formatting logic . Corporate branding and standard legal disclaimers fit this design precisely. The developer can create an RTF subtemplate containing the standardized components, upload it as a Sub Template object in the Publisher Catalog, and then import and call the required template sections from individual RTF layouts.
If company branding or legal language changes, updating the centralized subtemplate minimizes maintenance across all reports that reference it.
Duplicating the content in every RTF layout creates consistency and maintenance problems. Separate layouts still duplicate common material. SQL data models should represent data retrieval and structure, not presentation branding.
Therefore, C. Create a subtemplate and reference it from report templates is Oracle's recommended reusable-design pattern.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - RTF Subtemplates
NEW QUESTION # 85
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