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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Topic 2: Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Topic 3: Governance, Security, and Administration | 25% | - User and Access Governance
|
| Topic 4: Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
| Topic 5: Data Modeling and Semantic Design | 30% | - Semantic Model Design
|
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NEW QUESTION # 15
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: E
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 # 16
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: B
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 # 17
Which two statements are true about the Presentation Catalog?
Answer: A,D
Explanation:
Oracle Analytics provides explicit content-ownership and catalog-property administration. Authorized users and administrators can change or reassign ownership of catalog content. Oracle's Content Management functionality supports assigning content to another user or, for certain object categories, an application role.
Classic Catalog also provides ownership operations for supported reporting content.
Catalog items can additionally be designated Read-Only through their properties. Oracle gives the example of making an analysis read-only so other users can't modify it. Thus, D is directly supported.
By contrast, My Folders is private storage . Current Oracle Analytics documentation states that other analytics users can't access content stored there. Content that must be shared should be saved or moved to Shared Folders and given appropriate access permissions. Different object types aren't required to reside in separate folders, and catalog content can be copied, moved, archived, or unarchived subject to privileges and object capabilities.
Therefore, the Oracle-documented answers are A and D . The uploaded file marks A and C, but C conflicts with current Oracle Analytics documentation on My Folders privacy and is therefore corrected here.
Reference Topic: Managing Administration, Security, and Performance - Catalog Ownership and Object Properties
NEW QUESTION # 18
Which two statements about dashboard prompts are correct?
Answer: A,B
Explanation:
A and B are the intended answers. Oracle Analytics supports constrained or cascading prompts , where a value selected in one prompt restricts the values presented by another. A classic example is selecting a Region first and having a subsequent City prompt display only cities within that region. This improves usability and prevents invalid combinations of prompt values.
Oracle also allows prompt default selections to be derived from server-side variables. These include session variables , which can contain user-specific information initialized when a user signs in, and semantic-model
/repository variables, which provide centrally maintained values. Such variables can therefore initialize prompts dynamically rather than requiring hard-coded default selections.
Statements C and D impose restrictions that Oracle Analytics does not require. F directly contradicts Oracle variable support.
There is an important technical issue with this question: Oracle Analytics also supports different prompt forms, including column and variable prompts, so E can be interpreted as generally valid . Consequently, E is a weak distractor and makes the item somewhat ambiguous when interpreted literally. For the supplied two- answer examination key and the specific concepts being tested-constrained prompts and variable-based defaults- A and B are the intended selections .
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Dashboard Prompts and Variables
NEW QUESTION # 19
A user needs to locate catalog content but remembers only part of the item name, and also wants hidden items to appear in the results. Which two search settings should the user apply?
Answer: A,F
Explanation:
Oracle Analytics Catalog search supports locating objects when users know only part of an object's name. The Catalog Search field matches objects and folders whose names contain the characters entered, so supplying the full or partial name is sufficient; an exact object name isn't required.
Hidden content requires an additional configuration. Oracle's Presentation Catalog documentation specifically states that users must select Show Hidden Items on the Catalog page header when they want hidden objects included in catalog browsing or search results. Availability of hidden objects can additionally depend on the user's privileges, but assuming the user is authorized, this option exposes them to the search operation.
Read-Only is an object property and doesn't improve searchability. Permissions determine access to an object but aren't a search criterion. Favorites provide a shortcut to previously selected content rather than a comprehensive catalog search. Restricting the search to My Folders could omit relevant Shared Folder content.
Therefore, the correct combination is Show Hidden Items plus a full or partial object-name search .
Reference Topic: Managing Administration, Security, and Performance - Presentation Catalog Search
NEW QUESTION # 20
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