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| Section | Weight | Objectives |
|---|---|---|
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Creating and designing dashboards - Enhancing dashboards and briefing books - Dashboard prompts and pages |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using RTF Template Builder - Using Layout Editor - Creating Excel and eText templates - Formatting and customizing reports |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Formatting data - Managing filters - Managing selection steps - Using prompts and variables |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Performance and caching - Security and application roles |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing views - Creating and managing analyses |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Managing report data sources - Report translations - Bursting and delivery - Scheduling reports - Publisher administration |
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NEW QUESTION # 47
An organization wants business users to build analyses without knowing SQL while still using governed enterprise data. Which Oracle Analytics Cloud capability enables this approach?
Answer: D
Explanation:
Subject Areas provide the business-oriented interface that enables analysts to create governed analyses without writing SQL. Oracle defines subject areas as logical collections of related business information exposed from a deployed semantic model. They contain presentation tables, columns, measures, hierarchies, and other analytical objects that business users can select through the Analysis Editor.
The semantic model hides the complexity of underlying database structures. A user can therefore select concepts such as Customer, Product, Revenue, Quarter, or Region rather than determine physical table names, joins, aggregation rules, or SQL syntax. When an analysis executes, the Oracle Analytics query engine uses the semantic-model metadata to generate the appropriate physical queries against the source systems.
This model combines usability with governance because calculations, relationships, security rules, and business definitions remain centrally managed.
Direct SQL requires technical query knowledge and bypasses much of the business-friendly abstraction the scenario demands. Database triggers serve transactional database functions, while OCI Object Storage is a storage service rather than a semantic reporting interface.
Therefore, Subject Areas are the correct capability for governed, SQL-free business analysis.
Reference Topic: Managing and Creating Analyses, Views, and Content - Subject Areas
NEW QUESTION # 48
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 # 49
A report is scheduled to burst thousands of personalized PDFs by email every night. Some recipients are not receiving reports because their email addresses are missing in the bursting query results. What is the most likely cause?
Answer: C
Explanation:
Publisher bursting depends on the bursting delivery query to supply the information needed to format and distribute every split report segment. Oracle states that the delivery query returns a mapping containing elements such as the bursting key, template, locale, output format, delivery channel, output name, and channel- specific parameters.
For email delivery, the recipient email address is supplied through the delivery parameters returned by this query. Oracle's own invoice bursting example retrieves CST_EMAIL_ADDRESS from the customer table and places it in the appropriate email parameter. If the query doesn't return a valid email address for a particular bursting key, Publisher lacks the required destination information for that recipient.
The presence of a chart has no bearing on email delivery. Dashboard prompts are unrelated to scheduled bursting, and query caching doesn't supply recipient addresses.
Therefore, when specific recipients are missing email addresses in the bursting-query results, the failure is attributable to incomplete or invalid delivery information in the bursting control query , making B correct.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Bursting Delivery Queries
NEW QUESTION # 50
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: E
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 # 51
During production validation, users report that migrated dashboards open successfully but some analyses display "Subject Area not found." What should the administrator verify first?
Answer: A
Explanation:
A "Subject Area not found" condition points first to the analytical metadata layer rather than to dashboard rendering. Analyses reference subject areas exposed by the deployed semantic model. If the expected semantic model wasn't migrated or deployed correctly, if the relevant presentation subject area is missing, or if its name/mapping no longer matches what the analysis references, the dashboard itself can open while individual analyses fail.
Oracle's OAC migration workflow explicitly treats the Data Model and Subject Areas as snapshot components. During certain migration procedures, administrators may deliberately exclude these components from snapshot restoration and separately upload an updated semantic model. This makes verification of the deployed semantic model and its exposed subject areas a critical production-validation step.
Browser compatibility does not create or remove subject-area metadata. Email configuration applies to delivery, and Publisher Runtime Configuration controls report-processing behavior rather than Classic Analysis subject-area resolution.
Therefore, the administrator should first verify that the expected semantic model is deployed and the referenced subject areas and mappings exist correctly , making B the technically supported response.
Reference Topic: Connecting to Data Sources and Migrating Artifacts - Semantic Model and Subject Area Migration
NEW QUESTION # 52
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