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| Section | Weight | Objectives |
|---|---|---|
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Understanding Oracle Analytics Cloud | 5% | |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Designing, Creating, and Enhancing Dashboards 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% | |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% |
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NEW QUESTION # 37
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,E
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 # 38
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 # 39
A developer must create a SQL query data set but is not comfortable writing SQL manually. What should the developer use to build the SQL statement graphically?
Answer: D
Explanation:
Query Builder is specifically designed to construct SQL queries graphically with minimal requirement for manually written SQL. Within the Publisher Data Model Editor, a developer creating a SQL Query data set can launch Query Builder, browse available database objects, add tables or views to the design area, select columns, define relationships between objects, apply query conditions, inspect the generated SQL, and execute the query to review results.
Oracle describes Query Builder as a mechanism for building SQL queries without coding . Its interface separates object selection from query design and output functions, making it suitable for developers or report authors who understand the required data but do not want to manually construct SQL syntax.
Layout Editor serves a different stage of report development: it controls the visual presentation of the report after data has been retrieved. Catalog Manager is concerned with catalog content rather than SQL construction. The Report Wizard assists with creating reports and layouts but is not the graphical relational query-design tool. Parameter configuration defines runtime input values rather than the complete SQL statement.
Consequently, Query Builder precisely satisfies the requirement for graphical SQL development.
Reference Topic: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher - SQL Query Data Sets and Query Builder
NEW QUESTION # 40
An author is creating analysis criteria from a subject area and also needs to change the order of the selected columns. How should the author perform these tasks?
Answer: D
Explanation:
Analysis criteria are built in the Criteria tab by selecting columns from folders within the chosen subject area. As columns are added, Oracle places them in the Selected Columns pane. The author can then control their sequence directly by dragging selected columns to the desired position.
Column order is significant because it can affect the initial order in which fields appear in certain result views and determines the organizational sequence of criteria. Reordering does not require changing the semantic model or rebuilding the analysis.
Clear Sort removes sorting specifications, such as ascending or descending sort behavior; it doesn't rearrange the position of selected columns. The Results tab is used to inspect and design visual output after criteria have been established. Catalog permissions control object security and aren't involved in analytical column ordering. Column Properties controls formatting, headings, interaction, data format, conditional formatting, and related characteristics but isn't the standard mechanism for rearranging criteria.
Accordingly, the correct workflow is to select the required columns from the subject area and drag them within Selected Columns to establish the desired order . The uploaded Oracle Analytics question source identifies the same workflow.
Reference Topic: Managing and Creating Analyses, Views, and Content - Criteria Tab and Selected Columns
NEW QUESTION # 41
An author wants to change a column heading and control whether repeated values display in the results.
Which two column formatting features should the author use?
Answer: A,E
Explanation:
The required capabilities are both available through Column Properties # Column Format . Custom Headings allows the report author to override the default folder or column heading presented in the analysis.
This affects the displayed label without modifying the underlying semantic-model column definition. Oracle also permits variables and formatting to be incorporated into custom heading values where appropriate.
Value Suppression controls how consecutive duplicate values are displayed. When the same attribute value occurs repeatedly in adjacent result rows, suppression can display the value only once instead of repeating it on every row. This improves readability in analyses containing grouped or naturally repetitive dimensional data.
Content Paging concerns result retrieval and rendering rather than headings or duplicates. Fixed Headers keeps headings visible during scrolling but does not rename them. Save as Default has a different purpose and does not directly meet either stated requirement.
Oracle's documentation explicitly associates Custom Headings and Value Suppression with the Column Format tab, directly validating B and C.
Reference Topic: Managing and Creating Analyses, Views, and Content - Column Properties and Column Formatting
NEW QUESTION # 42
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