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| Section | Weight | Objectives |
|---|---|---|
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Understanding Oracle Analytics Cloud | 5% |
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NEW QUESTION # 39
During production validation, users report that migrated dashboards open successfully but some analyses display "Subject Area not found." What should the administrator verify first?
Answer: A
Explanation:
A "Subject Area not found" condition points first to the analytical metadata layer rather than to dashboard rendering. Analyses reference subject areas exposed by the deployed semantic model. If the expected semantic model wasn't migrated or deployed correctly, if the relevant presentation subject area is missing, or if its name/mapping no longer matches what the analysis references, the dashboard itself can open while individual analyses fail.
Oracle's OAC migration workflow explicitly treats the Data Model and Subject Areas as snapshot components. During certain migration procedures, administrators may deliberately exclude these components from snapshot restoration and separately upload an updated semantic model. This makes verification of the deployed semantic model and its exposed subject areas a critical production-validation step.
Browser compatibility does not create or remove subject-area metadata. Email configuration applies to delivery, and Publisher Runtime Configuration controls report-processing behavior rather than Classic Analysis subject-area resolution.
Therefore, the administrator should first verify that the expected semantic model is deployed and the referenced subject areas and mappings exist correctly , making B the technically supported response.
Reference Topic: Connecting to Data Sources and Migrating Artifacts - Semantic Model and Subject Area Migration
NEW QUESTION # 40
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 # 41
A report editor wants parameter changes to render immediately without requiring users to click Apply. The parameter must also allow multiple selections. Which two report-level parameter settings support this behavior?
Answer: B,C
Explanation:
The required configuration combines Show Apply Button = False with a Checkboxes parameter presentation. Oracle Analytics Publisher defines the Show Apply Button property as controlling whether users must explicitly submit changed parameter values. When this property is set to False, Publisher removes the Apply button and automatically regenerates the report after a parameter selection or entry changes. This directly satisfies the requirement for immediate rendering.
Checkboxes are appropriate for the second requirement because they permit the user to select multiple parameter values. Oracle's Report Viewer documentation identifies check boxes as a prompt control specifically intended for multiple selections. By contrast, Parameter Location and Parameter Label Location affect only the visual positioning of parameter controls and labels; they have no effect on refresh behavior or selection cardinality. Disabling a general Show property would suppress controls rather than implement automatic parameter processing.
Therefore, D controls when the parameter change is applied , while E controls how many values the user can select . Together they satisfy both functional requirements.
Reference Topic: Oracle Analytics Publisher - Report Parameters and Report Viewer Configuration
NEW QUESTION # 42
A user needs to locate catalog content but remembers only part of the item name, and also wants hidden items to appear in the results. Which two search settings should the user apply?
Answer: C,E
Explanation:
Oracle Analytics Catalog search supports locating objects when users know only part of an object's name. The Catalog Search field matches objects and folders whose names contain the characters entered, so supplying the full or partial name is sufficient; an exact object name isn't required.
Hidden content requires an additional configuration. Oracle's Presentation Catalog documentation specifically states that users must select Show Hidden Items on the Catalog page header when they want hidden objects included in catalog browsing or search results. Availability of hidden objects can additionally depend on the user's privileges, but assuming the user is authorized, this option exposes them to the search operation.
Read-Only is an object property and doesn't improve searchability. Permissions determine access to an object but aren't a search criterion. Favorites provide a shortcut to previously selected content rather than a comprehensive catalog search. Restricting the search to My Folders could omit relevant Shared Folder content.
Therefore, the correct combination is Show Hidden Items plus a full or partial object-name search .
Reference Topic: Managing Administration, Security, and Performance - Presentation Catalog Search
NEW QUESTION # 43
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?
Answer: E
Explanation:
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
NEW QUESTION # 44
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