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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Formatting and customizing reports - Using Layout Editor - Using RTF Template Builder - Creating Excel and eText templates |
| Topic 2: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing analyses - Creating and managing views |
| Topic 3: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Topic 4: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Using prompts and variables - Managing filters - Formatting data - Managing selection steps |
| Topic 5: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Topic 6: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Performance and caching - Administration |
| Topic 7: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 8: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| Topic 9: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Publisher administration - Scheduling reports - Bursting and delivery - Report translations - Managing report data sources |
| Topic 10: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Creating and designing dashboards - Dashboard prompts and pages - Enhancing dashboards and briefing books |
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NEW QUESTION # 69
An author wants to combine results from two subject areas in an analysis and asks whether the Analysis Editor can create joins between subject areas. Which approach should the author use?
Answer: A
Explanation:
When the objective is to stack separate result sets , the Analysis Editor supports set operations such as UNION, UNION ALL, INTERSECT, and DIFFERENCE . Oracle documents a specific Combine Results function that lets authors create criteria from another subject area and apply a set operator to the two query result sets.
Set operations, however, aren't relational join definitions. They combine compatible result sets and require matching numbers of columns and compatible data types. They don't create primary-key/foreign-key or other semantic relationships between subject areas.
Cross-subject-area relational behavior depends on the semantic model , including common dimensions, facts, and relationships defined for the participating subject areas. Oracle also supports cross-subject-area analyses using conformed dimensions, but those relationships derive from model metadata rather than a join created ad hoc through set-operation syntax.
Dashboard prompts simply provide runtime filtering and don't create data relationships. Likewise, adding a second query doesn't itself define semantic join logic.
Therefore, the accurate distinction is: use set operators when stacking compatible result sets; define and govern actual joins through the semantic model .
Reference Topic: Managing and Creating Analyses, Views, and Content - Combining Subject Areas and Set Operations
NEW QUESTION # 70
Which two statements describe form fields in Template Builder?
Answer: A,E
Explanation:
Microsoft Word form fields are a fundamental mechanism used by Oracle Analytics Publisher Template Builder to associate an RTF layout with the report's XML data and Publisher processing instructions. A form field can reference an element from the report data definition so that the associated value is placed dynamically into generated output.
Form fields can also contain BI Publisher processing instructions . For example, Template Builder uses form fields to represent constructs such as for-each processing, grouping, repeating rows, conditional processing, and other layout directives. Oracle's Template Builder configuration documentation specifically describes generating form fields for processing instructions and supports descriptive or abbreviated representations to make the RTF template easier to understand.
Form fields don't eliminate the value of sample XML data; Template Builder uses sample data to expose the available data structure and support previewing. They aren't limited to Word charts, nor are they an Excel- only technology. Option F is directly contrary to their purpose because Publisher commands and processing instructions are precisely what many form fields contain.
Therefore, form fields serve both data-field mapping and layout/processing-instruction embedding , making A and B correct.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - RTF Form Fields
NEW QUESTION # 71
Which statement best describes a Repository Variable in Oracle Analytics Cloud?
Answer: D
Explanation:
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
NEW QUESTION # 72
A report is scheduled to burst thousands of personalized PDFs by email every night. Some recipients are not receiving reports because their email addresses are missing in the bursting query results. What is the most likely cause?
Answer: C
Explanation:
Publisher bursting depends on the bursting delivery query to supply the information needed to format and distribute every split report segment. Oracle states that the delivery query returns a mapping containing elements such as the bursting key, template, locale, output format, delivery channel, output name, and channel- specific parameters.
For email delivery, the recipient email address is supplied through the delivery parameters returned by this query. Oracle's own invoice bursting example retrieves CST_EMAIL_ADDRESS from the customer table and places it in the appropriate email parameter. If the query doesn't return a valid email address for a particular bursting key, Publisher lacks the required destination information for that recipient.
The presence of a chart has no bearing on email delivery. Dashboard prompts are unrelated to scheduled bursting, and query caching doesn't supply recipient addresses.
Therefore, when specific recipients are missing email addresses in the bursting-query results, the failure is attributable to incomplete or invalid delivery information in the bursting control query , making B correct.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Bursting Delivery Queries
NEW QUESTION # 73
An author adds a second dashboard page but does not see the page tabs in Preview and wants to verify the consumer experience. What should the author do?
Answer: D
Explanation:
The author should save and run the dashboard to inspect the actual consumer-facing behavior. Dashboard Builder's Preview function is designed primarily to preview the current dashboard page during authoring and doesn't always reproduce the complete navigation experience of the executed dashboard.
Oracle distinguishes the authoring workflow from runtime execution: authors can Preview the current page, Save their changes, or select Run to leave Dashboard Builder and display the dashboard as consumers see it.
In the executed dashboard, multiple pages are navigated using page tabs across the dashboard viewer.
Therefore, running the saved dashboard is the appropriate validation method when the concern is whether multiple dashboard-page tabs appear correctly.
Dashboard Report Links control items such as Print or Export links associated with dashboard content; they don't create dashboard-page tabs. Section Properties affect the layout and behavior of a section rather than dashboard-level navigation. Deleting and recreating the page as a subpage isn't required, and browser-cache clearing doesn't address the distinction between page Preview and dashboard runtime.
Therefore, option C correctly verifies the end-user experience.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Dashboard Pages, Preview, and Runtime Navigation
NEW QUESTION # 74
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