PassTIP의 Oracle인증 1z0-1177-26덤프는 거의 모든 실제시험문제 범위를 커버하고 있습니다.Oracle인증 1z0-1177-26시험덤프를 구매하여 덤프문제로 시험에서 불합격성적표를 받을시PassTIP에서는 덤프비용 전액 환불을 약속드립니다.
| Section | Weight | Objectives |
|---|---|---|
| Data Modeling and Semantic Design | 30% | - Semantic Model Design
|
| Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Governance, Security, and Administration | 25% | - User and Access Governance
|
| Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
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질문 # 79
An author wants to combine results from two subject areas in an analysis and asks whether the Analysis Editor can create joins between subject areas. Which approach should the author use?
정답：D
설명：
When the objective is to stack separate result sets , the Analysis Editor supports set operations such as UNION, UNION ALL, INTERSECT, and DIFFERENCE . Oracle documents a specific Combine Results function that lets authors create criteria from another subject area and apply a set operator to the two query result sets.
Set operations, however, aren't relational join definitions. They combine compatible result sets and require matching numbers of columns and compatible data types. They don't create primary-key/foreign-key or other semantic relationships between subject areas.
Cross-subject-area relational behavior depends on the semantic model , including common dimensions, facts, and relationships defined for the participating subject areas. Oracle also supports cross-subject-area analyses using conformed dimensions, but those relationships derive from model metadata rather than a join created ad hoc through set-operation syntax.
Dashboard prompts simply provide runtime filtering and don't create data relationships. Likewise, adding a second query doesn't itself define semantic join logic.
Therefore, the accurate distinction is: use set operators when stacking compatible result sets; define and govern actual joins through the semantic model .
Reference Topic: Managing and Creating Analyses, Views, and Content - Combining Subject Areas and Set Operations
질문 # 80
Which statement best describes the primary purpose of the Oracle Analytics Cloud Catalog?
정답：B
설명：
The Oracle Analytics Catalog serves as the organized repository for analytical content. It stores and manages objects that users create and consume, including analyses, dashboards, prompts, Publisher reports, data models, templates, and related analytics artifacts. Content is organized into folder structures and governed through object-level access permissions.
Oracle distinguishes between personal and shared catalog locations. My Folders contains content belonging to an individual user, while Shared Folders contains objects intended to be accessible to authorized users or groups. The Catalog also supports operations such as searching for content, assigning permissions, moving or copying objects, and-in Publisher scenarios-uploading, downloading, and managing translations.
The Catalog isn't a relational database repository and therefore doesn't store database indexes or physical database schemas as its core purpose. It also doesn't generate warehouse tables or replace Oracle Database security. Database-level access control remains separate from analytics-content authorization.
Consequently, option B accurately describes the Catalog as the central organizational and management facility for Oracle Analytics content.
Reference Topic: Understanding Oracle Analytics Cloud - Catalog and Analytics Content Management
질문 # 81
Which two statements are true about the Presentation Catalog?
정답：C,D
설명：
Oracle Analytics provides explicit content-ownership and catalog-property administration. Authorized users and administrators can change or reassign ownership of catalog content. Oracle's Content Management functionality supports assigning content to another user or, for certain object categories, an application role.
Classic Catalog also provides ownership operations for supported reporting content.
Catalog items can additionally be designated Read-Only through their properties. Oracle gives the example of making an analysis read-only so other users can't modify it. Thus, D is directly supported.
By contrast, My Folders is private storage . Current Oracle Analytics documentation states that other analytics users can't access content stored there. Content that must be shared should be saved or moved to Shared Folders and given appropriate access permissions. Different object types aren't required to reside in separate folders, and catalog content can be copied, moved, archived, or unarchived subject to privileges and object capabilities.
Therefore, the Oracle-documented answers are A and D . The uploaded file marks A and C, but C conflicts with current Oracle Analytics documentation on My Folders privacy and is therefore corrected here.
Reference Topic: Managing Administration, Security, and Performance - Catalog Ownership and Object Properties
질문 # 82
A dashboard author wants users to see a list of briefing books on a dashboard page. How should the author configure the dashboard page?
정답：A
설명：
Oracle provides a specific Dashboard Builder procedure for displaying a list of briefing books . The briefing books should be stored in a catalog folder. The dashboard author then drags a Folder object from the Dashboard Objects pane into the required dashboard section and opens its properties. In Folder Properties , the author specifies the folder containing the briefing books.
At runtime, the Folder object presents the folder's available briefing books to authorized users. Oracle also allows the author to control whether the folder initially appears expanded.
The Add to Briefing Book option performs the opposite task: it adds dashboard-page or analysis content into a briefing book rather than displaying a collection of existing briefing books. Downloading individual PDF versions likewise doesn't create a dashboard-accessible list. Saved Customizations preserve dashboard state and prompt selections, not catalog-folder contents.
Oracle's documented workflow directly specifies: add a Folder object, open Folder Properties, and identify the folder containing the briefing books. Therefore, option A precisely implements the required dashboard behavior.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Briefing Books and Folder Objects
질문 # 83
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?
정답：C
설명：
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
질문 # 84
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