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Oracle 1z0-1177-26 Exam Syllabus Topics:

SectionWeightObjectives
Building and Formatting Reports Using Layout Editor and Template Builder15%
Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher15%
Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud10%
Managing and Creating Analyses, Views, and Content in Oracle Analytics10%
Understanding Oracle Analytics Cloud5%
Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics10%
Designing, Creating, and Enhancing Dashboards in Oracle Analytics10%
Exploring and Creating Reports and Data Models in Oracle Analytics Publisher5%
Managing Administration, Security, and Performance in Oracle Analytics Cloud10%
Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud10%

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Oracle Governed Analytics Professional with Oracle Analytics Cloud Sample Questions (Q66-Q71):

NEW QUESTION # 66
A development team has completed new dashboards and BI Publisher reports. Before deploying them to production, they need a repeatable migration process that preserves dependencies and configuration. Which approach is recommended?

Answer: C

Explanation:
Oracle Analytics Cloud uses snapshots , which can be exported as BAR files , to provide a controlled and repeatable mechanism for migrating analytics content between environments. A snapshot can package supported service content and configuration, including catalog objects such as dashboards and analyses, Publisher artifacts, semantic-model content, application-role information, and other applicable configuration.
Oracle's documented migration workflow is to create a snapshot in the source environment, export the snapshot as a .bar file, import that BAR file into the target Oracle Analytics Cloud instance, and then restore the required components. The Custom restore option allows administrators to select which elements are transferred when the target environment contains configuration that must remain unchanged.
Manual catalog copying does not provide the same dependable migration of dependencies and service configuration. Recreating dashboards in production is inefficient and prone to configuration drift. PDF files are generated outputs and cannot recreate Analytics or Publisher objects.
Therefore, the repeatable Oracle-supported deployment mechanism represented in the choices is exporting and importing a snapshot using a BAR file .
Reference Topic: Connecting to Data Sources and Migrating Artifacts - Snapshots and BAR Migration


NEW QUESTION # 67
An administrator is configuring a delivery agent. The agent should deliver content to selected devices instead of using the user's active delivery profile, and the scheduled analysis run should seed the cache. Which two destination settings match these requirements?

Answer: B,F

Explanation:
For device delivery, Oracle Analytics distinguishes between Active Delivery Profile and Specific Devices .
Active Delivery Profile lets each user determine delivery behavior through personal delivery preferences.
When the Agent must instead target explicitly chosen device types, the author selects Specific Devices and identifies the permitted devices. This satisfies the requirement to avoid reliance on the user's active profile.
For cache seeding, Oracle documents a dedicated Agent workflow. After choosing the analysis or dashboard page and establishing recipients, the administrator clears ordinary user destinations and selects the Analytics Server/BI Server Cache destination. Scheduled execution then populates the query cache using the results generated by the Agent.
The terminology in the question uses Oracle BI Server Cache , while current Oracle Analytics Server documentation refers to Oracle Analytics Server Cache ; functionally, this is the same cache-seeding destination represented by option E.
Selecting Never wouldn't schedule cache seeding. Home Page and Dashboard creates analytics alerts rather than restricting delivery to email devices. Active Delivery Profile does the opposite of the requirement, and Printer isn't the standard cache-seeding destination.
Therefore, the correct selections are Specific Devices and Oracle BI Server Cache .
Reference Topic: Managing Administration, Security, and Performance - Agent Destinations and Cache Seeding


NEW QUESTION # 68
Which Oracle Analytics Cloud capability best differentiates governed analytics from purely self-service analytics?

Answer: C

Explanation:
The defining characteristic of governed analytics is the use of shared, centrally controlled metadata and business logic. Oracle Analytics semantic models provide a common layer where administrators and data modelers can define dimensions, measures, hierarchies, relationships, calculations, security rules, and business-oriented terminology once and expose those definitions consistently through subject areas.
This avoids a major risk inherent in unmanaged self-service analytics: different users creating different interpretations of the same metric. For example, if each department independently defines Revenue, Margin, Customer Count, or Fiscal Quarter, reports can produce contradictory business results even though they use the same underlying source data.
Governance doesn't mean administrators must create every report. Business users can still independently create analyses, dashboards, and other content against approved subject areas. Nor does governed analytics restrict users to spreadsheets. Instead, governance establishes a controlled semantic foundation while preserving analytical self-service.
Oracle specifically describes the semantic model as a business-oriented abstraction layer that incorporates semantics and governance rules. Therefore, shared metadata and centrally managed business definitions are what most clearly distinguish governed analytics, making D correct.
Reference Topic: Understanding Oracle Analytics Cloud - Governed Analytics and Shared Semantic Metadata


NEW QUESTION # 69
A user created a dashboard and wants to prevent other users from modifying it. What should the user do?

Answer: C

Explanation:
The appropriate Catalog control is to set the dashboard object to Read-Only . Oracle Analytics allows administrators-and owners for objects they control-to open a catalog item's Properties and modify its access-related attributes. Oracle specifically gives setting an analytics object to read-only as an example of preventing other users from modifying the content.
This setting addresses the requirement directly because the dashboard remains available for consumption while modifications are restricted according to the object's permissions and ownership configuration. It is therefore preferable to mechanisms that would alter discoverability or content organization without enforcing edit protection.
Adding an object to Favorites merely creates a personal shortcut and has no security effect. Transferring ownership doesn't inherently prevent the new owner or other permitted users from modifying the dashboard.
Renaming affects catalog references and naming, not write permissions. Archiving creates an archive representation for migration or backup purposes and doesn't constitute the normal method for protecting an active dashboard against edits.
Thus, the correct procedure is to locate the dashboard in the Catalog, open Properties , and configure the item as Read-Only .
Reference Topic: Managing Administration, Security, and Performance - Catalog Object Properties and Read-Only Content


NEW QUESTION # 70
A report includes an action link that opens a detailed customer analysis while passing the selected Customer ID automatically. Which Oracle Analytics capability enables this behavior?

Answer: A

Explanation:
Action Links provide context-sensitive navigation from one Oracle Analytics object to another. When an action is attached to a column value, heading, graph value, or other supported element, the user can invoke the action and navigate to another analysis, dashboard, or external destination. Parameters can be mapped so the target receives contextual information from the source.
In the scenario, the selected Customer ID must follow the user into the detailed customer analysis.
Presentation variables are one supported method for maintaining or referencing runtime context in analyses and dashboards, while Action Framework parameter mapping supplies the navigation behavior. Together, these mechanisms allow the target analysis to open already constrained to the relevant customer.
Current Oracle Analytics documentation also describes modern Data Actions as passing context values to target canvases and workbooks, reinforcing the same context-preserving navigation principle.
Repository Variables are centrally managed and not primarily intended for transferring a user's selected customer context. Publisher Bursting creates and distributes personalized documents. Snapshot Migration transfers environment artifacts rather than runtime navigation values.
Therefore, among the available choices, Action Links with Presentation Variables is the correct implementation.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Action Links and Contextual Navigation


NEW QUESTION # 71
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