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| Section | Weight | Objectives |
|---|---|---|
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Understanding Oracle Analytics Cloud | 5% | |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 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% | |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% |
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NEW QUESTION # 35
A BI developer creates a reusable analysis that should be available to multiple departments while maintaining centralized security. Where should the analysis normally be stored?
Answer: A
Explanation:
A reusable enterprise analysis intended for multiple departments should normally be stored in a Shared Folder within the Oracle Analytics Catalog. Shared Folders are designed for analytics content that needs to be consumed collaboratively and governed through centrally managed permissions.
Oracle recommends storing shared analytics objects in Shared Folders and assigning appropriate access rights to users or application roles. Administrators can create a structured shared-folder hierarchy and configure folder-level permissions so that contained objects inherit the required access controls. This is substantially easier to govern than maintaining separate copies of an analysis for individual users or departments.
By contrast, My Folders/personal folders are intended for content belonging to an individual user and aren't the appropriate location for enterprise-wide reusable objects. Browser storage and temporary caches aren't catalog repositories and provide neither durable analytics-content management nor centralized authorization.
A Shared Folder therefore enables the same analysis to be maintained once while granting departments the appropriate read, modify, or other access rights through catalog security.
Accordingly, option A provides the appropriate combination of reuse, centralized management, and security .
Reference Topic: Managing and Creating Analyses, Views, and Content - Shared Catalog Folders
NEW QUESTION # 36
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: B
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 # 37
Which statement describes the purpose of Virtual Private Database (VPD) in a secure reporting approach?
Answer: D
Explanation:
Oracle Virtual Private Database (VPD) implements fine-grained, database-level access control by dynamically restricting rows returned to a user. A VPD policy associates a policy function with a protected table, view, or synonym. When a SQL statement references that object, Oracle Database automatically applies the policy-generated predicate to the statement.
For example, a query that conceptually requests every row from a sales table can transparently become a query restricted to the current user's authorized sales region. This makes VPD particularly suitable for reporting environments where multiple users execute similar reports but must see different subsets of the underlying data.
Oracle Analytics Publisher can preserve user identity through proxy-authenticated connections, while the database's VPD policy performs the row-level enforcement. This is fundamentally stronger than filtering sensitive rows only after they have already been returned to Publisher.
Catalog permissions solve a different security problem: they determine who can access or modify report objects. Bursting creates personalized documents but doesn't constitute database row-level security.
Therefore, VPD's defining role in this scenario is database-enforced row-level security , making A correct.
Reference Topic: Managing and Securing Oracle Analytics Publisher - VPD and Row-Level Data Security
NEW QUESTION # 38
A report should exclude products with zero sales before any ranking or sorting occurs. Which Oracle Analytics feature should be used?
Answer: A
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 # 39
You created a product-type dashboard prompt and applied it to the dashboard. When a user applies the prompt, two reports refresh as expected but two others do not. What are two possible reasons for this?
Answer: A,F
Explanation:
A dashboard prompt can affect an embedded analysis only when the analysis is configured to accept the prompt's value. A protected filter deliberately prevents a dashboard prompt from overriding that filter.
Oracle describes protected versus unprotected filters specifically as a mechanism controlling whether dashboard prompt values can determine an analysis's results. Therefore, a protected filter is a direct explanation for one of the non-responsive reports.
The second issue is a mismatch between the prompt column formula and the analysis filter formula .
Prompt wiring depends on the relevant column identity and formula being compatible. If the analysis uses a modified formula while the prompt targets another formula, Oracle cannot automatically apply the prompt as intended.
By contrast, an Is Prompted filter is specifically intended to receive a prompt value and is therefore normally part of a working configuration. Cache expiration does not explain selective prompt incompatibility, and simply containing measure columns is not itself the documented cause.
The two failed analyses should therefore be inspected for protected filters and formula mismatches between their filtering expressions and the dashboard prompt.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Dashboard Prompt Interaction
NEW QUESTION # 40
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