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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing filters - Using prompts and variables - Formatting data - Managing selection steps |
| Topic 2: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing views - Creating and managing analyses - Managing analytics content |
| Topic 3: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Scheduling reports - Bursting and delivery - Managing report data sources - Report translations - Publisher administration |
| Topic 4: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using RTF Template Builder - Formatting and customizing reports - Using Layout Editor - Creating Excel and eText templates |
| Topic 5: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Topic 6: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Administration - Performance and caching |
| Topic 7: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Creating and designing dashboards - Dashboard prompts and pages |
| Topic 8: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 9: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Topic 10: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
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NEW QUESTION # 22
A development team has completed new dashboards and BI Publisher reports. Before deploying them to production, they need a repeatable migration process that preserves dependencies and configuration. Which approach is recommended?
Answer: D
Explanation:
Oracle Analytics Cloud uses snapshots , which can be exported as BAR files , to provide a controlled and repeatable mechanism for migrating analytics content between environments. A snapshot can package supported service content and configuration, including catalog objects such as dashboards and analyses, Publisher artifacts, semantic-model content, application-role information, and other applicable configuration.
Oracle's documented migration workflow is to create a snapshot in the source environment, export the snapshot as a .bar file, import that BAR file into the target Oracle Analytics Cloud instance, and then restore the required components. The Custom restore option allows administrators to select which elements are transferred when the target environment contains configuration that must remain unchanged.
Manual catalog copying does not provide the same dependable migration of dependencies and service configuration. Recreating dashboards in production is inefficient and prone to configuration drift. PDF files are generated outputs and cannot recreate Analytics or Publisher objects.
Therefore, the repeatable Oracle-supported deployment mechanism represented in the choices is exporting and importing a snapshot using a BAR file .
Reference Topic: Connecting to Data Sources and Migrating Artifacts - Snapshots and BAR Migration
NEW QUESTION # 23
A designer creates a report directly from an Oracle Analytics Cloud subject area. The report includes calculations that depend on original column functions. Which risk should the designer consider?
Answer: C
Explanation:
The principal risk is that COUNT DISTINCT, AVG, and similar calculations can produce unexpected or different results when Publisher receives data that has already been summarized by Oracle Analytics .
When a report is created directly against a subject area, the BI Server performs semantic-model processing and aggregation before delivering the result set to Publisher. Publisher therefore does not necessarily receive the original detailed rows required to reproduce certain aggregate calculations accurately.
Oracle specifically cautions that subtotals and totals for subject-area reports are based on data already summarized by the BI Server. Functions requiring access to the original column-level data-Oracle explicitly identifies count distinct and average -can consequently return different results when reapplied within Publisher.
A data model is not mandatory when directly creating a subject-area report; direct subject-area reporting is specifically supported. Hierarchical columns are also not required and, in fact, have limitations in Publisher subject-area reports. The Create Report guide can directly query a subject area without requiring an intermediary Publisher data model.
Therefore, designers must understand the grain and aggregation state of data received from the semantic layer before introducing additional aggregate calculations.
Reference Topic: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher - Subject Area Reports
NEW QUESTION # 24
A report designer needs to create interactive prompts in an Oracle Analytics Publisher (OAP) report to allow users to filter by sales region and a specific date. Which two parameter types would be most suitable?
Answer: A,D
Explanation:
A List of Values (LOV) mechanism and a Date parameter provide the appropriate controls for this requirement. For sales region, users should select from a predefined, controlled collection of valid business values rather than entering arbitrary text. In Publisher, this is normally implemented using a Menu parameter associated with an LOV . The LOV can contain fixed values or be populated dynamically through a SQL query, thereby ensuring that the regions presented to users correspond to valid source-data values.
For the specific-date requirement, Publisher provides the Date parameter type. A Date parameter exposes an appropriate date-selection interface and passes a date value to the underlying data set using the configured date datatype and Java date format.
Boolean parameters are intended for true/false-style conditions rather than selecting geographical members.
Expression and XML are not the appropriate interactive parameter controls for these requirements.
Technically, Oracle terminology treats the LOV as the value source associated with a Menu parameter; therefore, option C represents the intended region-selection mechanism in this question.
Reference Topic: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher - Parameters and Lists of Values
NEW QUESTION # 25
Which two statements are true about Action Links?
Answer: A,F
Explanation:
Action Links provide context-sensitive navigation and action execution within Oracle Analytics. They can navigate to BI content, open external web resources, or invoke other supported actions. Presentation variables can participate in navigation scenarios so that contextual values captured at runtime can be supplied when moving between analytical content.
Oracle also explicitly supports conditional Action Links . When an action link is associated with an analysis column, its availability can be controlled by one or more conditions. For example, an escalation action could appear only when Revenue falls below a specified threshold. Oracle documentation describes this as conditionally enabling or displaying the action link according to data-driven criteria.
The remaining statements impose restrictions that do not exist. Action destinations are not limited merely because analyses reside in different catalog folders. Action Links are not restricted to analyses based on one subject area and certainly are not limited to dashboard prompts. Oracle explicitly supports navigation actions that open web pages and other external resources.
Consequently, B and C describe supported Action Link capabilities: runtime contextual navigation and conditional availability.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Action Framework and Conditional Action Links
NEW QUESTION # 26
An analyst wants to highlight sales values above target in green and values below target in red without changing the underlying data. Which feature should be used?
Answer: D
Explanation:
Conditional Formatting is specifically designed to modify the visual representation of data when defined conditions are satisfied while leaving the underlying values unchanged. The analyst can establish rules such as Sales greater than or equal to Target and apply one format, while values below Target receive a different format.
Oracle Analytics supports conditional rules based on measures, attributes, thresholds, percentages, and expressions. Formatting can include font characteristics, cell presentation, images, backgrounds, and visualization-specific properties. Oracle's examples include stoplight-style formatting in which low, medium, and high values receive different visual treatments.
This functionality affects presentation only; it doesn't alter the source Sales values or change the actual calculation. That directly satisfies the requirement.
A Repository Variable stores centrally maintained values and isn't itself a visualization rule. Selection Steps determine which members appear after query aggregation. A Subject Area Filter limits the data returned or made available rather than simply changing its appearance.
Consequently, the appropriate feature for showing above-target values in green and below-target values in red is Conditional Formatting , making A correct.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Conditional Formatting
NEW QUESTION # 27
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