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| Section | Weight | Objectives |
|---|---|---|
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Using prompts and variables - Managing filters - Managing selection steps - Formatting data |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Performance and caching - Security and application roles - Administration |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Enhancing dashboards and briefing books - Creating and designing dashboards |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing views - Creating and managing analyses |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Formatting and customizing reports - Creating Excel and eText templates - Using Layout Editor - Using RTF Template Builder |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Report translations - Bursting and delivery - Managing report data sources - Scheduling reports - Publisher administration |
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질문 # 29
What happens when a user drills on an attribute column in the Analysis Editor?
정답：D
설명：
Drilling on an attribute column performs what Oracle describes as a filter drill . When the user clicks a drillable attribute value, Oracle adds the next lower level to the displayed analysis and creates a filter corresponding to the member on which the user drilled.
Oracle's documentation states that drilling in an attribute column affects all relevant views. After the value is clicked, a column is added to the analysis and a filter is automatically created and listed on the Criteria tab . This distinguishes attribute-column drilling from drilling in hierarchical columns, where expanding or collapsing hierarchy members generally affects only the particular hierarchy view without creating the same analysis-wide filter drill behavior.
The drill operation therefore modifies the analytical context; the underlying criteria don't simply remain unchanged. Oracle also doesn't automatically save the resulting drill filter as a reusable named filter, nor does a drill operation create a dashboard prompt. Those are separate authoring operations.
Consequently, the specific outcome described by Oracle is exactly option A: drilling an attribute column automatically introduces the corresponding filter and adds the lower-level column to the analysis criteria.
Reference Topic: Managing and Creating Analyses, Views, and Content - Drilling in Analysis Results
질문 # 30
A security administrator wants to assign analytics privileges to multiple users without configuring permissions individually. What is the recommended approach?
정답：B
설명：
The recommended Oracle Analytics security model is to manage permissions through Application Roles . An application role represents a set of permissions determining what its members can see and do in Oracle Analytics Cloud. Administrators can assign users, groups, and even other application roles as members, allowing authorization to be administered centrally.
This is considerably more scalable than granting permissions individually. For example, an administrator can create or use an application role for Finance Analysts, assign the required analytics privileges and content permissions to that role, and then add all qualifying users to it. When staffing changes occur, administrators modify membership rather than repeatedly redesigning permissions.
Oracle's current guidance explicitly states that it is a best practice to assign permissions through application roles. Predefined roles such as BI Content Author and BI Consumer provide standard capabilities, while user- defined application roles can be created for organization-specific requirements.
Separate catalogs and duplicate dashboards would create unnecessary management overhead. Database accounts don't replace Oracle Analytics application-layer authorization.
Therefore, assigning users to Application Roles is the correct scalable approach.
Reference Topic: Managing Administration, Security, and Performance - Application Roles
질문 # 31
During production validation, users report that migrated dashboards open successfully but some analyses display "Subject Area not found." What should the administrator verify first?
정답：C
설명：
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
질문 # 32
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：D
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 # 33
A report needs to group Revenue values by item type and Per-Year-Month into four dynamic buckets and may need to return the bin names. Which function should the author use?
정답：C
설명：
The BIN function is specifically designed to classify a numeric expression into a defined number of equal- width buckets. Oracle documents syntax in which a numeric expression is evaluated at a specified grain using the BY clause, followed by INTO n BINS. The function can return the bin number or one of the interval boundary values , making it appropriate when the analysis needs both dynamic bucketing and a usable representation of each bucket.
In this scenario, Revenue is the numeric measure, while item type and Per-Year-Month establish the required analytical grain. Specifying four bins therefore partitions Revenue values into four dynamically calculated ranges at that grain.
MSUM calculates a moving sum across rows; it doesn't classify values into buckets. PERIODROLLING performs time-series aggregation over a specified period. RANK returns relative ordering, while TOPN identifies the highest-ranked members. None of these functions creates equal-width numeric bins.
Therefore, BIN applied to Revenue at the required grain and configured for four bins directly satisfies the requirement. Oracle's function reference explicitly defines BIN for this purpose.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Analysis Functions and BIN
질문 # 34
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