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| Section | Weight | Objectives |
|---|---|---|
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Understanding Oracle Analytics Cloud | 5% | |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% |
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質問 # 83
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?
正解：D
解説：
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
質問 # 84
Which Oracle Analytics Cloud capability best differentiates governed analytics from purely self-service analytics?
正解：C
解説：
The defining characteristic of governed analytics is the use of shared, centrally controlled metadata and business logic. Oracle Analytics semantic models provide a common layer where administrators and data modelers can define dimensions, measures, hierarchies, relationships, calculations, security rules, and business-oriented terminology once and expose those definitions consistently through subject areas.
This avoids a major risk inherent in unmanaged self-service analytics: different users creating different interpretations of the same metric. For example, if each department independently defines Revenue, Margin, Customer Count, or Fiscal Quarter, reports can produce contradictory business results even though they use the same underlying source data.
Governance doesn't mean administrators must create every report. Business users can still independently create analyses, dashboards, and other content against approved subject areas. Nor does governed analytics restrict users to spreadsheets. Instead, governance establishes a controlled semantic foundation while preserving analytical self-service.
Oracle specifically describes the semantic model as a business-oriented abstraction layer that incorporates semantics and governance rules. Therefore, shared metadata and centrally managed business definitions are what most clearly distinguish governed analytics, making D correct.
Reference Topic: Understanding Oracle Analytics Cloud - Governed Analytics and Shared Semantic Metadata
質問 # 85
Which type of report is an example of the bursting feature in Pixel-Perfect Reporting?
正解：C
質問 # 86
A finance department needs monthly invoices to be automatically distributed as separate PDF files to each customer based on customer email addresses stored in the data model. Which Oracle Analytics Publisher feature should be used?
正解：D
解説：
Report Bursting is specifically designed to split a single report execution into multiple personalized documents and deliver each document according to recipient-specific information. In this scenario, the finance department can use Customer ID as the bursting Split By and Deliver By key. The bursting delivery query can retrieve each customer's email address, output format, template, locale, and other delivery parameters from the underlying data.
Oracle provides a documented invoice bursting example in which CUSTOMER_ID identifies each report segment, the output format is selected dynamically, the delivery channel is EMAIL, and the customer's email address is supplied by the bursting query. The same architecture permits thousands of invoices to be generated from one report definition and distributed independently.
Layout Editor controls visual report design but doesn't automate recipient-specific splitting. Dashboard Prompts provide runtime filtering, and Conditional Formatting changes presentation according to conditions.
Therefore, Report Bursting precisely satisfies both requirements: generating a separate PDF for each customer and automatically delivering each document to the corresponding email address.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Bursting and Delivery
質問 # 87
A report developer must configure Oracle Analytics Publisher to retrieve data from an external relational database. Which component should be configured first?
正解：B
解説：
A JDBC Data Source must be configured before Publisher data models can retrieve information from an external relational database through JDBC. Oracle Analytics Publisher separates connection administration from report development. Database connections are first established by an administrator through the Publisher Administration page and are then made available to authorized report and data-model developers.
Oracle Publisher supports direct JDBC connections and connections through a JNDI connection pool. The connection definition contains the information Publisher requires to reach the relational source, including the JDBC driver, connection string, credentials, and applicable role-based access configuration.
Only after a valid data source exists can a developer reliably construct an SQL Query Data Set against that source and use it within a Publisher data model.
Translation Manager performs localization and doesn't create database connectivity. A report layout controls presentation after data has been retrieved. Dashboard Prompts belong to interactive analytical filtering and aren't the foundational relational connection mechanism.
Therefore, the external database connection must be established first as a JDBC Data Source , making option C correct.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Publisher Data Sources and JDBC Connections
質問 # 88
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