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| Section | Weight | Objectives |
|---|---|---|
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Formatting data - Managing filters - Using prompts and variables - Managing selection steps |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Managing report data sources - Report translations - Publisher administration - Scheduling reports - Bursting and delivery |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing analyses - Creating and managing views |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Creating and designing dashboards - Enhancing dashboards and briefing books |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| 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 |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Performance and caching - Security and application roles |
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NEW QUESTION # 23
A business user wants to compare current-quarter sales against only the top five performing product categories. Which feature best supports this requirement?
Answer: D
Explanation:
A Top N selection/filtering operation is the feature designed to retain only the highest-performing members according to a selected measure. In this case, Product Category is the dimension and current-quarter Sales is the measure used to rank the categories. Configuring the analytical selection to retain the top five categories produces exactly the required comparison population.
Oracle Analytics supports both selection-step member refinement and explicit Top/Bottom N filtering capabilities. The current Oracle Analytics documentation includes Top N examples that identify the highest attribute values based on a measure, which is precisely the analytical pattern in this question.
The important concept is that the ranking is based on the measure rather than visual styling. Conditional Formatting could visually distinguish high or low Sales values but wouldn't restrict the result to five product categories. Repository Initialization Blocks initialize semantic-model variables and have no role in ranking members. Dashboard Page Style controls appearance and layout rather than result membership.
Therefore, Selection Step with Top N filtering is the best supplied answer because it limits the displayed product categories according to their current-quarter Sales ranking and retains only the five highest performers.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Top N Analysis
NEW QUESTION # 24
A developer needs to design a highly formatted Microsoft Word-based report template containing company branding, repeating groups, and conditional formatting. Which tool should be used?
Answer: B
Explanation:
Template Builder for Word is specifically designed for developing sophisticated Oracle Analytics Publisher RTF templates within Microsoft Word . It is installed as a Word add-in and simplifies insertion of Publisher data fields, tables, repeating groups, charts, forms, processing instructions, and other report components.
RTF templates retain access to Microsoft Word's native document-formatting features. This makes them particularly appropriate for reports requiring corporate branding, precisely positioned text, headers and footers, images, complex tables, and other print-oriented formatting. Publisher's RTF processing capabilities additionally support conditional formatting, grouping, dynamic columns, calculations, and other advanced report logic.
Oracle's official documentation identifies Template Builder as an add-in that automates insertion of frequently used Publisher components and provides tools to preview output using sample XML data. The underlying RTF format also supports more complex Publisher processing instructions where required.
Dashboard Builder creates analytical dashboards rather than Word-based templates. SQL Developer is a database-development tool. Catalog editing doesn't provide Word document formatting.
Therefore, Template Builder for Word is the correct tool for this highly formatted RTF reporting requirement.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Template Builder for Word
NEW QUESTION # 25
A multinational organization must generate reports in English, French, and Japanese using a single report definition. Which Oracle Analytics Publisher capability should be used?
Answer: C
Explanation:
Oracle Analytics Publisher supports multilingual reporting through its translation framework and XLIFF localization files . XLIFF is the XML Localization Interchange File Format used by Publisher to externalize translatable strings from report templates and other supported Publisher content.
For template translation, Publisher extracts textual elements such as titles, labels, and headings into an XLIFF file. The file can then be translated into French, Japanese, or other languages and uploaded against the appropriate locale. At runtime, Publisher automatically uses the translation corresponding to the selected Report Locale .
This enables the organization to retain a single core report definition and template design rather than maintain separate report definitions for every language. Oracle also supports Catalog Translation for user-interface strings such as report descriptions, parameter names, and display names.
Multiple JDBC connections have no role in report localization. A Dashboard Prompt alone cannot translate report labels, and maintaining independent report definitions would increase duplication and maintenance.
Therefore, the source's Translation Manager with XLIFF localization files represents the correct Publisher localization capability, making A correct.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - XLIFF and Multilingual Reporting
NEW QUESTION # 26
Which two statements describe bursting key concepts?
Answer: B,D
Explanation:
The two fundamental bursting keys are Split By and Deliver By/Delivery By . The Split By element identifies how the report data is divided into individual blocks. For example, when producing customer invoices, CUSTOMER_ID can be used as the Split By value so that a separate data block and document can be generated for each customer.
The Deliver By element determines how formatting and delivery information is associated with each split segment. Oracle's bursting engine uses this key to correlate each section with information returned by the delivery query, including template, output format, locale, delivery channel, destination, and other delivery parameters. Consequently, different recipients can receive differently formatted outputs through different delivery channels from a single report execution.
Bursting definitions belong to the Publisher data model , not exclusively to the scheduling interface. Bursting is also not restricted to one output format across all generated documents. Supported delivery mechanisms extend beyond FTP and can include email, printers, content repositories, and other configured destinations.
The Diagnostic tab is not where the bursting delivery query is conceptually defined.
Thus, Split By controls data segmentation , while Delivery By controls segment-specific formatting and distribution .
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Publisher Bursting
NEW QUESTION # 27
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 # 28
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