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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Publisher administration - Report translations - Bursting and delivery - Scheduling reports - Managing report data sources |
| Topic 2: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| Topic 3: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Using prompts and variables - Formatting data - Managing selection steps - Managing filters |
| Topic 4: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Creating and designing dashboards - Dashboard prompts and pages - Enhancing dashboards and briefing books |
| Topic 5: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing views - Creating and managing analyses - Managing analytics content |
| Topic 6: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Formatting and customizing reports - Using Layout Editor - Creating Excel and eText templates - Using RTF Template Builder |
| Topic 7: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 8: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Topic 9: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Performance and caching - Security and application roles |
| 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 # 10
A designer uses the Table Wizard and must choose which columns appear in the report table. Which Table Wizard control moves columns from the available pane to the selected pane?
Answer: A
Explanation:
The Shuttle buttons are used to transfer data fields between the Available and Selected areas of the Table Wizard. During table construction, Template Builder presents the fields available from the loaded report data.
The designer selects the required fields and uses the directional shuttle controls to move those fields into the collection that will become columns in the generated table.
This interface pattern lets the designer explicitly determine which elements appear in the table and often also provides controls to reorder selected fields before the table structure is generated. It avoids the need to manually construct every table cell and Publisher field mapping.
Group Above concerns grouping the resulting data rather than initially selecting the table's columns. Sort By determines ordering of records after the relevant fields are selected. Preview allows the author to inspect generated output and isn't used to transfer fields. Word Properties relates to Microsoft Word document behavior rather than Table Wizard field selection.
The uploaded course material also identifies Shuttle buttons as the correct control for moving fields between Available and Selected lists. Consequently, option C is the direct functional match.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Table Wizard
NEW QUESTION # 11
A report author needs a layout component that provides multidimensional data in tabular form. The component must support multiple measures and dimensions at all levels. Which layout component should the author insert?
Answer: B
Explanation:
A Pivot Table is the correct layout component because Oracle Analytics Publisher specifically defines it as a mechanism for presenting multidimensional information in tabular form. A pivot table can organize dimensions across rows and columns while simultaneously displaying multiple measures in the data region. It also supports subtotals at multiple hierarchy levels, making it appropriate for analytical reports where users need to compare measures across several dimensional intersections.
A Layout Grid is primarily a structural container used to position report components; it does not itself perform multidimensional analysis. A Gauge visualizes a measure relative to a scale or threshold and is unsuitable for displaying multiple dimensions in tabular form. Text Items provide static or dynamically generated textual information, while Lists are designed for repeated structured content rather than multidimensional cross- tabulation.
Oracle's Publisher documentation explicitly describes the Pivot Table as providing multidimensional data in tabular form and supporting multiple measures, dimensions, and subtotals at all levels. This directly matches every requirement in the scenario.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Pivot Tables and Layout Components
NEW QUESTION # 12
What is the purpose of views in analyses?
Answer: D
Explanation:
A view is a visual representation of the results returned by an Oracle Analytics analysis. After criteria determine the columns, filters, calculations, and query logic, views control how those analytical results are presented to the consumer. A single analysis can therefore expose the same underlying query results through several different representations.
Oracle Analytics supports views such as tables, pivot tables, graphs, trellises, gauges, narratives, performance tiles, and other visualization types. This separation between analysis criteria and presentation allows authors to choose the most appropriate representation without rebuilding the underlying analytical query.
Views do not define the original attributes selected for the analysis; that occurs through the Criteria tab and Selected Columns. They also do not automatically activate subtotals for every analysis. Totals are explicitly configured where required. Conditional formatting is a separate presentation capability, while dashboard prompts are independently created filtering objects.
Oracle defines a view as a visual representation of analysis results and states that additional views can be added to visualize the same data in different ways. Therefore, option C precisely expresses the architectural purpose of views.
Reference Topic: Managing and Creating Analyses, Views, and Content - Analysis Views
NEW QUESTION # 13
Which service do you need to subscribe to for creating an Oracle Analytics Cloud (OAC) instance?
Answer: A
Explanation:
Oracle Analytics Cloud is the service represented by the required answer. Oracle provides OAC as an OCI analytics service, and an Oracle Analytics Cloud instance is created as an Analytics service instance through the Oracle Cloud Infrastructure Console, REST API, or command-line interfaces.
Oracle documentation for subscription-based environments specifically describes creating a service using an Oracle Analytics Cloud Subscription , after which the administrator selects Oracle Analytics Cloud Subscription and creates an instance. In current OCI environments, provisioning is governed through OCI tenancy, IAM policies, service entitlements, and the analytics-instance resource, but none of the other answer choices represents the analytics service being provisioned.
Oracle Autonomous Database can serve as an analytical data source but doesn't replace an OAC service instance. Object Storage can provide datasets, migration storage, or Publisher delivery destinations but isn't the required analytics service. Oracle Integration Cloud provides application and process integration rather than OAC analytical capabilities.
Consequently, among the listed choices, an Oracle Analytics Cloud service/subscription is required to provision the OAC instance.
Reference Topic: Understanding Oracle Analytics Cloud - Provisioning an Oracle Analytics Cloud Service
NEW QUESTION # 14
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 # 15
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