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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Topic 2: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Creating and designing dashboards - Enhancing dashboards and briefing books - Dashboard prompts and pages |
| Topic 3: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Publisher administration - Report translations - Managing report data sources - Bursting and delivery - Scheduling reports |
| Topic 4: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 5: 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 6: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Formatting data - Managing filters - Managing selection steps - Using prompts and variables |
| Topic 7: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Topic 8: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Performance and caching - Security and application roles - Administration |
| Topic 9: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Topic 10: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing analyses - Creating and managing views - Managing analytics content |
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NEW QUESTION # 68
Which two statements describe form fields in Template Builder?
Answer: B,D
Explanation:
Microsoft Word form fields are a fundamental mechanism used by Oracle Analytics Publisher Template Builder to associate an RTF layout with the report's XML data and Publisher processing instructions. A form field can reference an element from the report data definition so that the associated value is placed dynamically into generated output.
Form fields can also contain BI Publisher processing instructions . For example, Template Builder uses form fields to represent constructs such as for-each processing, grouping, repeating rows, conditional processing, and other layout directives. Oracle's Template Builder configuration documentation specifically describes generating form fields for processing instructions and supports descriptive or abbreviated representations to make the RTF template easier to understand.
Form fields don't eliminate the value of sample XML data; Template Builder uses sample data to expose the available data structure and support previewing. They aren't limited to Word charts, nor are they an Excel- only technology. Option F is directly contrary to their purpose because Publisher commands and processing instructions are precisely what many form fields contain.
Therefore, form fields serve both data-field mapping and layout/processing-instruction embedding , making A and B correct.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - RTF Form Fields
NEW QUESTION # 69
Which two statements are true about Action Links?
Answer: A,B
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 # 70
Users report that frequently executed analyses are taking longer than expected even though the underlying data changes only once each day. Which feature can improve query response time?
Answer: B
Explanation:
Query caching is specifically designed to improve response time for repeated analytical queries. Oracle Analytics Cloud stores previously computed query results in a local query cache. When a later request can be satisfied from an existing cache entry, Oracle Analytics can return the precomputed result rather than execute another request against the underlying database.
This scenario is particularly suitable for caching because the underlying data changes only once per day. The administrator can therefore maintain a cache lifecycle aligned with the daily refresh process. After source data changes, relevant cache entries should be purged or refreshed to prevent stale results. Between refreshes, frequently repeated analyses can achieve significant performance improvements while reducing database processing, network traffic, and Oracle Analytics processing overhead.
Disabling caching would increase repeated source-system workload. Adding dashboard prompts doesn't inherently reduce query execution cost. Moving analyses into Personal Folders changes catalog organization and access, not query-processing efficiency.
Oracle explicitly states that query caching can dramatically improve query performance by satisfying subsequent requests without accessing back-end data sources. Therefore, D is correct.
Reference Topic: Managing Administration, Security, and Performance - Query Cache Management
NEW QUESTION # 71
A dashboard designer wants users to choose a department once, with every analysis on the dashboard responding to that selection. What is the recommended implementation?
Answer: C
Explanation:
A Dashboard Prompt combined with a Presentation Variable provides a centralized runtime control that can be reused by multiple analyses on the same dashboard. Oracle defines a presentation variable as a variable whose value is populated from a column prompt or variable prompt. Each time the user changes the prompt selection, Oracle updates the presentation variable with the newly selected value.
The dashboard analyses can reference that variable in their filters or expressions. Consequently, the user selects Department once, and all appropriately configured content responds using the same runtime value.
This avoids duplicating prompt logic within each individual analysis and improves maintainability.
Applying separate filters manually would require maintaining similar logic in every analysis. Creating distinct dashboards for each department creates unnecessary duplication and version-management overhead. Multiple analysis-level prompts would also produce a fragmented user experience when a single dashboard-level selection is required.
Oracle's documentation explicitly states that presentation variables can be created through prompts and that their values change when users make new prompt selections. Therefore, the recommended architecture is one Dashboard Prompt that sets a Presentation Variable consumed by the related analyses.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Dashboard Prompts and Presentation Variables
NEW QUESTION # 72
An administrator wants to minimize the impact of frequently executed analytical queries on the underlying database while maintaining acceptable response times. Which combination provides the best solution?
Answer: B
Explanation:
The most effective combination is query caching plus an optimized semantic model . Oracle Analytics query caching stores previously generated query results so that compatible subsequent requests can be satisfied without repeatedly executing equivalent SQL against the underlying database. This reduces database workload, network traffic, and analytical response time for frequently repeated requests.
Caching alone, however, is not a substitute for sound semantic-model design. Proper logical relationships, aggregation behavior, source mappings, calculations, and physical connection configurations influence the efficiency of generated queries. Optimizing the model therefore addresses the cost of queries that do reach the source, while caching prevents unnecessary repetition of previously resolved requests.
Oracle also emphasizes that administrators need an appropriate cache-management strategy. Cache entries must be invalidated when source data or semantic-model definitions change so that users don't receive stale results.
Disabling caching increases database load. Duplicate subject areas add administrative complexity without inherently improving performance. Running every analysis every minute can substantially increase processing rather than reduce it.
Therefore, C provides the correct performance architecture: optimize query generation and use caching to avoid unnecessary source executions.
Reference Topic: Managing Administration, Security, and Performance - Query Cache and Semantic Model Performance
NEW QUESTION # 73
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