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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 2: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Topic 3: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Creating Excel and eText templates - Using RTF Template Builder - Formatting and customizing reports - Using Layout Editor |
| Topic 4: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing views - Creating and managing analyses |
| Topic 5: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing selection steps - Managing filters - Formatting data - Using prompts and variables |
| Topic 6: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Administration - Performance and caching |
| Topic 7: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Managing report data sources - Publisher administration - Bursting and delivery - Scheduling reports - Report translations |
| Topic 8: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Dashboard prompts and pages - Creating and designing dashboards |
| Topic 9: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Topic 10: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
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NEW QUESTION # 85
A dashboard should display an inventory analysis only when the logged-in user belongs to the Warehouse Manager role. Which feature should be implemented?
Answer: A
Explanation:
D is the intended answer among the supplied choices , because Guided Navigation and dashboard-section conditions are designed to display dashboard content conditionally. Oracle Analytics supports associating conditions with dashboard sections so that a section appears only when the configured condition is satisfied.
Historically this behavior has been described as Guided Navigation.
However, the question mixes conditional display with role-based authorization . Oracle's current documentation provides an even more direct mechanism for role-specific dashboard visibility: Dashboard Section Permissions . An administrator can grant or deny section access to specific users and application roles. If the strict requirement is "Warehouse Manager role members only," section permissions are the stronger access-control mechanism.
That option isn't present in the question. Of the choices supplied, Dashboard Prompt is a filtering mechanism, KPI Watchlist monitors performance metrics, and Analysis Filter controls data rather than dashboard-section access. Guided Navigation is therefore the closest and intended examination answer for conditional display.
For production security design, role-based section permissions should be distinguished from merely conditionally rendering content.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Conditional Sections, Guided Navigation, and Permissions
NEW QUESTION # 86
A company wants regional managers to access only their own dashboard while using a common dashboard design. Which Oracle Analytics feature provides the most maintainable solution?
Answer: A
Explanation:
The most maintainable approach is to retain a single dashboard design while using dashboard filtering together with security controls that ensure each manager sees only authorized data. Dashboard prompts can provide a common interactive filtering experience, while row-level or role-based security must enforce the actual access boundary.
Oracle Analytics supports application-role-based filtering so that different users opening shared analytics content see only the data applicable to their assigned role. Oracle also supports object and data-access permissions through application roles and semantic-model security. This means the organization can maintain one dashboard instead of creating separate copies for every regional manager.
It is important to distinguish functionality from security: a dashboard prompt alone isn't an authorization mechanism . The security filtering component must enforce which regional data each manager is entitled to access. The prompt can then support user interaction within that permitted dataset.
Duplicating dashboards increases maintenance effort and creates version drift. Separate subject areas for each individual manager are also unnecessarily complex, while static PDF exports eliminate interactive analytics.
Therefore, D is the maintainable architecture: one dashboard, shared interaction design, and centrally enforced security filtering .
Reference Topic: Designing, Creating, and Enhancing Dashboards - Shared Dashboard Design and Security Filtering
NEW QUESTION # 87
An analyst wants an analysis to always display data for the currently logged-in user's assigned sales region without requiring manual input. Which variable type is most appropriate?
Answer: B
Explanation:
A Session Variable is the appropriate choice because its value is associated with an individual user's Oracle Analytics session. Oracle states that session variables are initialized when a user signs in and remain available throughout that user's browsing session. A non-system session variable can therefore hold contextual values such as the user's department, organizational unit, or SalesRegion .
For this scenario, an initialization block can retrieve the user's assigned region during authentication. An analysis can reference that session variable in a data filter, causing each user to receive automatically filtered results without entering a region manually. Oracle explicitly uses user department and sales region as examples of session-variable values.
A Presentation Variable is normally populated interactively through a dashboard or analysis prompt, which violates the requirement for no manual input. A semantic model/repository variable generally holds a value shared more broadly rather than a user-specific login value. A Request Variable temporarily overrides a session variable for an individual request.
Therefore, Session Variable directly provides the required user-specific, login-initialized analytical context.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Session Variables
NEW QUESTION # 88
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: A
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 # 89
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 # 90
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