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| Section | Weight | Objectives |
|---|---|---|
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Administration - Performance and caching |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Creating Excel and eText templates - Formatting and customizing reports - Using RTF Template Builder - Using Layout Editor |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Managing report data sources - Publisher administration - Report translations - Scheduling reports - Bursting and delivery |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing analyses - Creating and managing views - Managing analytics content |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Dashboard prompts and pages - Creating and designing dashboards |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Using prompts and variables - Managing selection steps - Managing filters - Formatting data |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
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NEW QUESTION # 11
Which role is required to edit and create a new semantic model in Oracle Analytics Cloud Enterprise Edition?
Answer: E
Explanation:
The required predefined application role is BI Data Model Author . Oracle defines this role specifically for users who create and manage semantic models with Semantic Modeler. Membership provides access to Semantic Modeler and the capabilities required to create, edit, and deploy semantic models.
Oracle's current Semantic Modeler workflow documentation explicitly instructs administrators to grant the BI Data Model Author application role to users who require semantic-model development access. If the role is not assigned, the Semantic Model option may not appear on the Create page, and deployment-related capabilities are unavailable.
The other roles serve different functions. BI Content Author focuses on analyses, dashboards, and pixel- perfect reports rather than semantic-model administration. DV Consumer is intended for consuming and exploring visualizations. BI Data Load Author is not the semantic-model authoring role. "BI RPD Model Author" and "BI Service User" are not the applicable predefined application role for the current Semantic Modeler workflow described by Oracle.
Therefore, BI Data Model Author is the role aligned directly with creating, editing, managing, and deploying semantic models in Oracle Analytics Cloud.
Reference Topic: Managing Administration, Security, and Performance - Application Roles and Semantic Model Security
NEW QUESTION # 12
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: D
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 # 13
A report designer wants to reuse a common corporate header and footer across dozens of RTF report templates while minimizing maintenance effort. Which feature should be implemented?
Answer: A
Explanation:
An RTF Subtemplate is designed specifically to centralize reusable report-layout content. Oracle defines a subtemplate as formatting functionality that can be defined once and then reused either multiple times within one layout or across multiple report-layout templates.
Common subtemplate use cases explicitly include headers, footers, address blocks, reusable formatting, formulas, and conditional layout structures . In this scenario, the corporate header and footer can be defined once in an RTF subtemplate, uploaded to the Publisher Catalog, and referenced from each report template. When the common content must change-for example, because of branding or legal requirements- the organization can update the reusable subtemplate rather than manually editing dozens of separate RTF templates.
Separate SQL Data Models control report data, not shared presentation content. Catalog folders can organize templates but don't eliminate duplicate header/footer definitions. Dashboard Prompts are unrelated to Publisher document-template reuse.
Oracle's documentation identifies common headers and footers as primary examples of subtemplate usage.
Therefore, the maintainable solution is RTF Subtemplates , making D correct.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - RTF Subtemplates
NEW QUESTION # 14
Which two statements describe bursting key concepts?
Answer: A,D
Explanation:
The two fundamental bursting keys are Split By and Deliver By/Delivery By . The Split By element identifies how the report data is divided into individual blocks. For example, when producing customer invoices, CUSTOMER_ID can be used as the Split By value so that a separate data block and document can be generated for each customer.
The Deliver By element determines how formatting and delivery information is associated with each split segment. Oracle's bursting engine uses this key to correlate each section with information returned by the delivery query, including template, output format, locale, delivery channel, destination, and other delivery parameters. Consequently, different recipients can receive differently formatted outputs through different delivery channels from a single report execution.
Bursting definitions belong to the Publisher data model , not exclusively to the scheduling interface. Bursting is also not restricted to one output format across all generated documents. Supported delivery mechanisms extend beyond FTP and can include email, printers, content repositories, and other configured destinations.
The Diagnostic tab is not where the bursting delivery query is conceptually defined.
Thus, Split By controls data segmentation , while Delivery By controls segment-specific formatting and distribution .
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Publisher Bursting
NEW QUESTION # 15
You must create a custom sales report for each of 3,200 sales representatives using Oracle Analytics Cloud Enterprise Edition. Which tool must you use and why?
Answer: A
Explanation:
Pixel-Perfect Reporting with Bursting is specifically designed for high-volume personalized document generation and distribution. Oracle Analytics Publisher executes the underlying report query, splits the resulting data according to a configured Split By key, generates a separate document for each resulting block, and determines formatting and delivery through the bursting delivery definition.
This architecture is well suited to producing 3,200 individualized sales reports. A sales-representative identifier can act as the bursting key, allowing one report definition and one data-extraction process to generate separate reports for each representative. Each segment can also use destination-specific delivery information, templates, output formats, locale settings, and delivery channels.
Oracle documents analogous bursting use cases such as generating individual cost-center reports for managers, customer invoices with customer-specific delivery preferences, and payslips for all employees from one extract. The same design pattern applies directly to thousands of sales representatives.
SMTP only provides an email transport mechanism; it doesn't perform report segmentation. Smart View is an Office-based analytics client. Agents automate analytical delivery but aren't the Publisher document-splitting technology required here.
Therefore, Pixel-Perfect Reporting with Bursting is the scalable solution.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Report Bursting
NEW QUESTION # 16
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