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| Section | Weight | Objectives |
|---|---|---|
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using Layout Editor - Using RTF Template Builder - Formatting and customizing reports - Creating Excel and eText templates |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Performance and caching - Security and application roles |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing views - Managing analytics content - Creating and managing analyses |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing selection steps - Managing filters - Formatting data - Using prompts and variables |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Publisher administration - Managing report data sources - Report translations - Scheduling reports - Bursting and delivery |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Dashboard prompts and pages - Creating and designing dashboards |
>> Latest 1z0-1177-26 Test Questions <<
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NEW QUESTION # 20
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 # 21
A developer is using Template Builder for Microsoft Word to create a translation file from an existing Oracle Analytics Publisher template. Which action creates the XLIFF translation file?
Answer: A
Explanation:
Template Builder for Microsoft Word provides dedicated translation tools for extracting translatable text from an RTF template into an XLIFF (.xlf) file . Oracle's documented procedure is to open the template with Template Builder installed and, from the Template Builder tools, choose Translation # Extract Text .
Publisher then extracts the template's translatable boilerplate strings and creates an XLIFF file.
Typical translatable strings include report titles, table headers, field labels, and static textual content intended to appear in generated output. Data supplied dynamically at runtime isn't extracted as template translation text.
The resulting XLIFF file can then be provided to a translator or edited with an XLIFF-compatible tool. After translation, it is associated with the original report template for the appropriate locale. Preview Translation is used later to test an already-created translation; it doesn't generate the initial XLIFF file. Uploading a localized RTF file represents a different localization strategy. Changing the user's report locale also doesn't perform text extraction.
Thus, Translation # Extract Text is the specific Template Builder command that creates the XLIFF translation file.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - XLIFF Translation
NEW QUESTION # 22
An author creates an analysis that includes at least one hierarchical column and clicks the Results tab. What view is automatically created for the analysis?
Answer: B
Explanation:
Oracle Analytics determines the default result view according to the types of columns included in the analysis. Oracle documentation states that when an analysis contains only attribute and measure columns, the Compound Layout initially contains a table . However, when the analysis contains at least one hierarchical column , Oracle automatically creates a pivot table view .
This behavior is intentional because a pivot table is designed to represent hierarchical structures effectively. It supports expansion and collapse of hierarchy members, multidimensional presentation, and hierarchical navigation in ways that a conventional flat table doesn't.
A trellis view is useful for repeated visual comparisons across dimensions but isn't automatically generated merely because a hierarchy is present. Graph and gauge views must generally be added explicitly when appropriate. Likewise, the statement that every analysis defaults to a table is incorrect because Oracle specifically distinguishes hierarchical analyses from analyses containing only attribute and measure columns.
Therefore, once the author selects Results for an analysis containing a hierarchical column, the default result visualization is a Pivot Table . This behavior is directly documented in Oracle's Analysis Results guidance.
Reference Topic: Managing and Creating Analyses, Views, and Content - Hierarchical Columns and Default Views
NEW QUESTION # 23
A user created a dashboard and wants to prevent other users from modifying it. What should the user do?
Answer: D
Explanation:
The appropriate Catalog control is to set the dashboard object to Read-Only . Oracle Analytics allows administrators-and owners for objects they control-to open a catalog item's Properties and modify its access-related attributes. Oracle specifically gives setting an analytics object to read-only as an example of preventing other users from modifying the content.
This setting addresses the requirement directly because the dashboard remains available for consumption while modifications are restricted according to the object's permissions and ownership configuration. It is therefore preferable to mechanisms that would alter discoverability or content organization without enforcing edit protection.
Adding an object to Favorites merely creates a personal shortcut and has no security effect. Transferring ownership doesn't inherently prevent the new owner or other permitted users from modifying the dashboard.
Renaming affects catalog references and naming, not write permissions. Archiving creates an archive representation for migration or backup purposes and doesn't constitute the normal method for protecting an active dashboard against edits.
Thus, the correct procedure is to locate the dashboard in the Catalog, open Properties , and configure the item as Read-Only .
Reference Topic: Managing Administration, Security, and Performance - Catalog Object Properties and Read-Only Content
NEW QUESTION # 24
Which statement describes the purpose of Virtual Private Database (VPD) in a secure reporting approach?
Answer: B
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 # 25
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