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| Section | Weight | Objectives |
|---|---|---|
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing analyses - Creating and managing views |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Report translations - Managing report data sources - Scheduling reports - Bursting and delivery - Publisher administration |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Creating and designing dashboards - Dashboard prompts and pages - Enhancing dashboards and briefing books |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Formatting and customizing reports - Using Layout Editor - Using RTF Template Builder - Creating Excel and eText templates |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Performance and caching - Security and application roles |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Using prompts and variables - Managing filters - Formatting data - Managing selection steps |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
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74. Frage
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?
Antwort: A,C
Begründung:
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
75. Frage
Which Oracle Analytics Publisher configuration controls default processing options such as temporary file handling, font settings, and report output behavior?
Antwort: B
Begründung:
Runtime Configuration controls Publisher's system-level processing and document-generation behavior.
Oracle's Runtime Configuration framework includes settings for different output types, PDF processing and security, FO processing, memory and performance behavior, template processing, report delivery properties, and associated font mappings.
Oracle's runtime configuration file also illustrates settings such as system-temp-dir, PDF compression, PDF security, and font definitions. In the administrative interface, the Runtime Configuration page provides corresponding system-level properties, with some settings also configurable at individual report level. When report-level and system-level settings differ, Oracle can apply the more specific report-level setting where documented.
A Subject Area is a governed analytical data presentation layer and has nothing to do with Publisher document-processing defaults. Presentation Variables capture runtime prompt values. Selection Steps refine displayed members of an analysis.
The uploaded source's explanation explicitly identifies Runtime Configuration as defining system-wide Publisher processing and output-generation behavior. Its extracted "Correct answer" marker is misplaced relative to the options; Oracle documentation confirms that A. Runtime Configuration is the technically correct answer.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Runtime Configuration
76. Frage
A user has downloaded a password-protected wallet and is adding a new SQL Developer connection to an Autonomous Data Warehouse. Which two settings are required in the New Database Connection dialog box?
Antwort: A,C
Begründung:
The intended answer is B and D , but the terminology is version-specific. Oracle SQL Developer historically used the connection type Cloud PDB for wallet-based Autonomous Database connections. The user selected Cloud PDB, browsed to the downloaded client-credentials ZIP file, supplied the wallet/keystore password, selected the database service, tested the connection, and saved it.
Oracle subsequently renamed this connection type Cloud Wallet . Current Oracle documentation specifies Cloud Wallet, the client-credentials configuration file, database user credentials, and an appropriate service name. Oracle explicitly notes that Cloud PDB is the older name , including in SQL Developer 18.2-era workflows. Therefore, option B remains the intended examination choice because Cloud Wallet isn't offered among the options.
The service list represents database service names such as high, medium, or low service configurations; it doesn't represent OCI compartments. ODBC and Basic connections aren't the wallet-based configuration described.
Accordingly, B and D match the historical workflow reflected by the question, while candidates should recognize that Cloud Wallet is the current SQL Developer terminology .
Reference Topic: Connecting to Data Sources - SQL Developer Connections to Autonomous Data Warehouse
77. Frage
An organization wants a dashboard page that displays executive KPIs, detailed trend charts, and supporting tables together in a single layout. Which dashboard capability should be used?
Antwort: D
Begründung:
Compound Layout is the correct answer. Oracle Analytics defines a Compound Layout as a collection of multiple views of an analysis displayed together. Authors can position tables, pivot tables, graphs, narrative views, and other views within the same results layout. Oracle specifically states that multiple views can be combined and positioned anywhere within the Compound Layout.
This directly matches a requirement to show executive summary information, trend visualizations, and supporting detail together. An author can combine the relevant views and arrange them so consumers see different perspectives of the same analytical result set without moving between separate objects.
Guided Navigation serves a different purpose. It supports conditional navigation or conditionally displayed content based on analytical conditions; it isn't the layout container for simultaneously presenting multiple analytical views. Briefing Books capture dashboard content for offline or distributable consumption, while Action Links enable navigation or actions from analytical content.
The uploaded source contains an internal contradiction here: its answer marker identifies Guided Navigation
, but its own explanation describes Compound Layout . Oracle documentation confirms that A is the technically correct answer .
Reference Topic: Managing and Creating Analyses, Views, and Content - Compound Layouts
78. Frage
A report designer needs to display sales performance by Region, Product Category, and Quarter in a highly interactive visual comparison. Which view is most appropriate?
Antwort: C
Begründung:
A Trellis View is the most appropriate visualization for comparing the same measure across multiple dimensional categories. A trellis displays a series of related visualizations in a grid, allowing users to compare equivalent graphical structures across dimension members.
For example, the designer could use Region or Product Category as an outer-edge dimension and Quarter or another analytical dimension within the repeated visualizations. Because every trellis cell follows a consistent graphical framework, differences in sales performance become easier to identify across categories.
Oracle distinguishes between Simple Trellis and Advanced Trellis use cases. Oracle recommends Simple Trellis for general comparisons and Advanced Trellis when analyzing trends. The documentation also advises controlling dimensional density so that each repeated graph remains readable.
A Narrative View renders textual descriptions generated from query results and isn't optimized for comparative multidimensional visualization. A static table can present all values but provides less immediate visual comparison. A KPI is generally intended to summarize performance against targets rather than display a repeated multidimensional comparison across Region, Product Category, and Quarter.
Therefore, Trellis View best satisfies the scenario.
Reference Topic: Managing and Creating Analyses, Views, and Content - Trellis Views
79. Frage
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