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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Topic 2: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Topic 3: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Topic 4: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Topic 5: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Topic 6: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Topic 7: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Topic 8: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Topic 9: Understanding Oracle Analytics Cloud | 5% | |
| Topic 10: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% |
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NEW QUESTION # 74
An author wants an agent to run only when an analysis returns rows that match a business condition, and also wants to deliver the actual analysis content. How should the author configure the agent?
Answer: D
Explanation:
Oracle Analytics Agents separate the execution condition from the content to be delivered . The Condition tab determines whether the agent should execute. The author can create a new condition or browse to an existing condition based on an analysis. For a condition based on an analysis, Oracle evaluates whether the analysis returns results that satisfy the configured criteria.
The actual payload is configured independently on the Delivery Content tab . Here, the author selects the analysis or dashboard page to deliver and specifies parameters such as subject, output format, and whether results are delivered directly, as an attachment, or as a link where supported.
The Destinations tab determines where content is sent, not whether the condition evaluates to true. The current Oracle documentation identifies the Actions tab as reserved rather than as the location for row-count conditions. The Recipients tab identifies users, application roles, or email recipients but doesn't determine the report output itself. Dashboard prompts are interactive filtering controls, not Agent execution triggers.
Therefore, the required configuration is Condition tab for conditional execution plus Delivery Content tab for the actual analytical content .
Reference Topic: Managing Administration, Security, and Performance - Agents, Conditions, and Delivery Content
NEW QUESTION # 75
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: D
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 # 76
An administrator needs Oracle Analytics Publisher to access database tables before developers create SQL query data sets. Which two actions configure the JDBC connection?
Answer: C,D
Explanation:
Publisher database connectivity is administered through the Publisher Administration page , not through individual reports or dashboards. In an integrated Oracle Analytics environment, Oracle documents the navigation path through Administration # Manage Publisher to reach the Publisher administration interface.
From there, the administrator uses the JDBC Connection option under Data Sources and selects Add Data Source . The JDBC definition contains configuration such as the data source name, database driver, connection string, authentication credentials, optional proxy authentication, and allowed roles. Once configured successfully, that connection becomes available to authorized Data Model developers when they create SQL Query data sets.
A report layout is downstream of data acquisition and therefore isn't required to establish connectivity.
Sample data likewise depends on an executable data model. Dashboard Editor manages dashboard presentation rather than Publisher database connections, while the Catalog stores Publisher objects but isn't the administrative interface for defining JDBC infrastructure.
Consequently, the correct workflow is to access Manage Publisher/Publisher Administration and then create the connection through JDBC Connection under Data Sources .
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - JDBC Data Sources
NEW QUESTION # 77
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: A
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 # 78
A developer needs to design a highly formatted Microsoft Word-based report template containing company branding, repeating groups, and conditional formatting. Which tool should be used?
Answer: A
Explanation:
Template Builder for Word is specifically designed for developing sophisticated Oracle Analytics Publisher RTF templates within Microsoft Word . It is installed as a Word add-in and simplifies insertion of Publisher data fields, tables, repeating groups, charts, forms, processing instructions, and other report components.
RTF templates retain access to Microsoft Word's native document-formatting features. This makes them particularly appropriate for reports requiring corporate branding, precisely positioned text, headers and footers, images, complex tables, and other print-oriented formatting. Publisher's RTF processing capabilities additionally support conditional formatting, grouping, dynamic columns, calculations, and other advanced report logic.
Oracle's official documentation identifies Template Builder as an add-in that automates insertion of frequently used Publisher components and provides tools to preview output using sample XML data. The underlying RTF format also supports more complex Publisher processing instructions where required.
Dashboard Builder creates analytical dashboards rather than Word-based templates. SQL Developer is a database-development tool. Catalog editing doesn't provide Word document formatting.
Therefore, Template Builder for Word is the correct tool for this highly formatted RTF reporting requirement.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Template Builder for Word
NEW QUESTION # 79
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