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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing views - Creating and managing analyses - Managing analytics content |
| Topic 2: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Report translations - Scheduling reports - Managing report data sources - Publisher administration - Bursting and delivery |
| Topic 3: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Topic 4: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Topic 5: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Creating Excel and eText templates - Formatting and customizing reports - Using Layout Editor - Using RTF Template Builder |
| Topic 6: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 7: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Topic 8: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Administration - Performance and caching |
| Topic 9: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Using prompts and variables - Formatting data - Managing filters - Managing selection steps |
| Topic 10: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Dashboard prompts and pages - Creating and designing dashboards |
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99. Frage
Which statement best describes a Repository Variable in Oracle Analytics Cloud?
Antwort: C
Begründung:
A Semantic Model (Repository) Variable stores a centrally defined value that can be referenced by analyses, dashboards, filters, expressions, and other semantic-model logic. Oracle defines repository variables as values maintained within the semantic model rather than supplied interactively by individual report consumers.
Repository variables can be static or dynamic . A static repository variable retains its configured value until an administrator changes it. A dynamic repository variable is refreshed from data returned by an initialization query. Typical shared values include organizational constants, current reporting periods, or other centrally managed values that should be applied consistently.
Option A instead describes a Presentation Variable, which can be populated by a user's prompt selection.
Option B more closely describes a Session Variable, whose value is specific to a user's session and is commonly initialized when the user logs in. Option D doesn't describe repository-variable scope because a repository variable can persist across many analysis executions.
Oracle's current documentation calls these Semantic Model (Repository) Variables , preserving the repository terminology used in Classic Analytics. Therefore, the most accurate description is a centrally managed value reusable across analytical content .
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Repository Variables
100. Frage
A multinational organization must generate reports in English, French, and Japanese using a single report definition. Which Oracle Analytics Publisher capability should be used?
Antwort: D
Begründung:
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
101. Frage
An analyst wants to highlight sales values above target in green and values below target in red without changing the underlying data. Which feature should be used?
Antwort: D
Begründung:
Conditional Formatting is specifically designed to modify the visual representation of data when defined conditions are satisfied while leaving the underlying values unchanged. The analyst can establish rules such as Sales greater than or equal to Target and apply one format, while values below Target receive a different format.
Oracle Analytics supports conditional rules based on measures, attributes, thresholds, percentages, and expressions. Formatting can include font characteristics, cell presentation, images, backgrounds, and visualization-specific properties. Oracle's examples include stoplight-style formatting in which low, medium, and high values receive different visual treatments.
This functionality affects presentation only; it doesn't alter the source Sales values or change the actual calculation. That directly satisfies the requirement.
A Repository Variable stores centrally maintained values and isn't itself a visualization rule. Selection Steps determine which members appear after query aggregation. A Subject Area Filter limits the data returned or made available rather than simply changing its appearance.
Consequently, the appropriate feature for showing above-target values in green and below-target values in red is Conditional Formatting , making A correct.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Conditional Formatting
102. Frage
Which action creates a reusable calculated metric that remains available within the current analysis?
Antwort: A
Begründung:
Adding a Calculated Column allows an analysis author to derive a new analytical value from existing columns or expressions without changing the underlying physical source data. The calculation becomes part of the current analytical definition and can be referenced throughout the analysis where supported.
Calculated expressions are useful for metrics such as profit percentage, variance, adjusted revenue, unit price, ratios, and other values derived from existing measures or attributes. This provides flexibility at the content- authoring layer while leaving centrally governed semantic-model objects unchanged.
The scope described in the question is important: the calculation must remain reusable within the current analysis . If the organization needed the metric governed and reusable across many analyses, defining the calculation centrally in the semantic model would normally provide stronger enterprise consistency.
A Dashboard Prompt supplies runtime values and filtering rather than creating calculated metrics. BAR files are migration artifacts and don't constitute an analysis calculation mechanism. Application Roles control authorization and permissions.
Therefore, among the available choices, Adding a Calculated Column is the function that creates the required derived metric in the analysis. The uploaded question explicitly associates this behavior with a calculated column.
Reference Topic: Managing and Creating Analyses, Views, and Content - Calculated Columns and Derived Metrics
103. Frage
A developer is using Query Builder to create a SQL query from multiple tables. Which two actions are used to define the query in Query Builder?
Antwort: B,C
Begründung:
Query Builder provides a graphical mechanism for defining relational SQL data sets. When multiple tables are involved, the developer must first establish the logical relationship between them. Typically, this means creating a join using matching columns , such as a parent table's primary key and a child table's corresponding foreign key.
After the tables and relationships are established, the required output fields are selected by choosing the check boxes beside the column names in Query Builder's design interface. Those selected fields become part of the generated SELECT list. Oracle's Query Builder documentation and examples show precisely this pattern:
create the relationship between tables, select the desired columns, optionally define conditions and sorting, and then save the generated SQL.
A report definition doesn't need to be created before building the query. Dashboard definitions are unrelated to Publisher SQL Query datasets. Sample-data generation occurs after the query has been defined sufficiently to execute, and parameters are optional rather than prerequisites for creating table relationships.
Accordingly, the two essential query-definition operations are joining the related tables and selecting the required columns , making C and E correct.
Reference Topic: Exploring and Creating Reports and Data Models - Query Builder, Joins, and Column Selection
104. Frage
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