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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Topic 2: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using Layout Editor - Formatting and customizing reports - Creating Excel and eText templates - Using RTF Template Builder |
| Topic 3: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Topic 4: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing analyses - Creating and managing views - Managing analytics content |
| Topic 5: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Enhancing dashboards and briefing books - Creating and designing dashboards |
| Topic 6: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Publisher administration - Bursting and delivery - Scheduling reports - Report translations - Managing report data sources |
| Topic 7: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing selection steps - Formatting data - Using prompts and variables - Managing filters |
| Topic 8: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Topic 9: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Performance and caching - Security and application roles |
| Topic 10: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
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NEW QUESTION # 15
A designer uses the Table Wizard and must choose which columns appear in the report table. Which Table Wizard control moves columns from the available pane to the selected pane?
Answer: D
Explanation:
The Shuttle buttons are used to transfer data fields between the Available and Selected areas of the Table Wizard. During table construction, Template Builder presents the fields available from the loaded report data.
The designer selects the required fields and uses the directional shuttle controls to move those fields into the collection that will become columns in the generated table.
This interface pattern lets the designer explicitly determine which elements appear in the table and often also provides controls to reorder selected fields before the table structure is generated. It avoids the need to manually construct every table cell and Publisher field mapping.
Group Above concerns grouping the resulting data rather than initially selecting the table's columns. Sort By determines ordering of records after the relevant fields are selected. Preview allows the author to inspect generated output and isn't used to transfer fields. Word Properties relates to Microsoft Word document behavior rather than Table Wizard field selection.
The uploaded course material also identifies Shuttle buttons as the correct control for moving fields between Available and Selected lists. Consequently, option C is the direct functional match.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Table Wizard
NEW QUESTION # 16
Which statement best describes a Repository Variable in Oracle Analytics Cloud?
Answer: B
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 # 17
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?
Answer: C
Explanation:
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
NEW QUESTION # 18
Which type of report is an example of the bursting feature in Pixel-Perfect Reporting?
Answer: E
Explanation:
Customized regional marketing reports represent an appropriate bursting use case because bursting is intended to take a single report data set, divide it into logically distinct sections, generate separate documents, and deliver those documents according to segment-specific criteria.
For example, an organization could retrieve enterprise marketing performance in one query and split the resulting data by Region. Publisher could then generate one report for Europe, another for North America, another for Asia-Pacific, and so forth. Each segment could be delivered to the appropriate regional manager and could use its own locale, output format, template, or delivery destination.
Oracle's documented bursting examples follow precisely this pattern: customer-specific invoices, separate financial reports for cost-center managers, and individualized employee payslips. Customized regional reports are another application of the same key-based segmentation and delivery architecture.
Bar codes and government PDF forms are valid pixel-perfect reporting scenarios but don't inherently require bursting. Interactive data exploration is associated with analytical visualization, and ad hoc reporting refers to dynamically created analyses rather than mass personalized document generation.
Therefore, customized regional marketing reports are the choice that directly demonstrates Publisher bursting.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Bursting Use Cases
NEW QUESTION # 19
A report should exclude products with zero sales before any ranking or sorting occurs. Which Oracle Analytics feature should be used?
Answer: B
Explanation:
Among the provided choices, Selection Step is the intended answer. Selection steps allow an analysis author to refine which attribute or hierarchy members remain visible and can be arranged in a defined sequence.
They support operations such as keeping or removing members and applying condition-based member selection, including conditions based on measures such as Sales.
Oracle distinguishes selection steps from conventional filters. A normal column filter is applied before query aggregation , while selection steps operate after aggregation and affect the members displayed without changing already-calculated aggregate values. Selection steps can also be sequenced so that one refinement occurs before a later Top N or other member-selection operation.
There is a wording weakness in this item. If "before any ranking" means before query aggregation and ranking at the SQL level, a conventional analysis filter such as Sales < > 0 would be the cleaner technical mechanism, but Filter isn't one of the answer choices . Of the listed options, Selection Step is the only feature capable of removing members as part of analytical result refinement.
Dashboard Prompts provide runtime input; Conditional Formatting only changes appearance; Narrative View controls presentation.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Selection Steps
NEW QUESTION # 20
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