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| Section | Weight | Objectives |
|---|---|---|
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Report translations - Bursting and delivery - Publisher administration - Managing report data sources - Scheduling reports |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Performance and caching - Security and application roles - Administration |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing analyses - Managing analytics content - Creating and managing views |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Dashboard prompts and pages - Creating and designing dashboards |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using Layout Editor - Creating Excel and eText templates - Formatting and customizing reports - Using RTF Template Builder |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing selection steps - Managing filters - Using prompts and variables - Formatting data |
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NEW QUESTION # 85
A developer is using Query Builder to create a SQL query from multiple tables. Which two actions are used to define the query in Query Builder?
Answer: B,D
Explanation:
Query Builder provides a graphical mechanism for defining relational SQL data sets. When multiple tables are involved, the developer must first establish the logical relationship between them. Typically, this means creating a join using matching columns , such as a parent table's primary key and a child table's corresponding foreign key.
After the tables and relationships are established, the required output fields are selected by choosing the check boxes beside the column names in Query Builder's design interface. Those selected fields become part of the generated SELECT list. Oracle's Query Builder documentation and examples show precisely this pattern:
create the relationship between tables, select the desired columns, optionally define conditions and sorting, and then save the generated SQL.
A report definition doesn't need to be created before building the query. Dashboard definitions are unrelated to Publisher SQL Query datasets. Sample-data generation occurs after the query has been defined sufficiently to execute, and parameters are optional rather than prerequisites for creating table relationships.
Accordingly, the two essential query-definition operations are joining the related tables and selecting the required columns , making C and E correct.
Reference Topic: Exploring and Creating Reports and Data Models - Query Builder, Joins, and Column Selection
NEW QUESTION # 86
A global enterprise is implementing Oracle Analytics Cloud and wants executives to view the same dashboard while automatically seeing only data for their own business unit. Which implementation best follows Oracle best practices?
Answer: A
Explanation:
The recommended architecture is to maintain a single governed dashboard and enforce data visibility through application roles and row-level security in the semantic model . Oracle Analytics allows semantic- model data filters to be assigned to specific application roles. When a user queries an object protected by those filters, Oracle Analytics incorporates the applicable security predicates into the generated query, restricting results to the rows that user's roles are authorized to access.
For example, executives can all open the same Revenue dashboard while a Business Unit data filter automatically restricts each executive to the appropriate organizational data. This approach centralizes dashboard maintenance and security policy while avoiding duplicated content.
Dashboard prompts are useful for interactive filtering, but user-controlled prompts are not a substitute for authorization. Separate dashboards or subject areas for every executive create unnecessary maintenance and introduce the risk of inconsistent logic.
Oracle specifically recommends applying data filters to application roles rather than individual users for scalable row-level security. Therefore, C is the correct governed implementation.
Reference Topic: Managing Administration, Security, and Performance - Application Roles and Row- Level Security
NEW QUESTION # 87
Which Oracle Analytics Cloud feature allows analysts to drill from a summary chart into detailed transactional information while preserving the current analytical context?
Answer: C
Explanation:
Action Links enable context-sensitive navigation from analytical content to related analyses, dashboards, web pages, or other supported targets. An action link can be associated with a column heading, column value, or hierarchy-level value in an analysis. When invoked, the link can pass mapped parameters or contextual information to the destination.
This makes Action Links appropriate for moving from a summarized analytical view into transaction-level detail. For example, a user could select a customer, product, opportunity, or regional value in a summary analysis and open a detailed destination that reflects the selected context. Oracle's Action Framework supports parameter mapping when configuring the target action.
Modern Oracle Analytics workbook Data Actions provide a comparable capability: Analytics Links can pass source-canvas context into another canvas or workbook. The classic Action Link remains the feature explicitly represented in this question.
Repository Variables contain centrally managed values but aren't navigation mechanisms. Runtime Configuration controls Publisher processing settings, and Bursting generates and distributes personalized Publisher documents.
Therefore, B. Action Links is the correct mechanism for contextual navigation from summary to detailed analytical information.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Action Links and Contextual Navigation
NEW QUESTION # 88
A report requires users to select a department from a predefined list before the query executes. Which Oracle Analytics Publisher feature satisfies this requirement?
Answer: B
Explanation:
A List of Values (LOV) parameter provides the controlled runtime selection required in this scenario. In Oracle Analytics Publisher, a developer first defines a List of Values, which can contain either fixed values or values returned dynamically by a SQL query. The developer then creates a Menu parameter and associates that parameter with the LOV.
For a Department prompt, the LOV might return Department Name as the user-facing label and Department ID as the value passed into the report query. The selected value can then be referenced through a bind variable, allowing the underlying data set to retrieve only data corresponding to the user's department selection.
Oracle Publisher parameters support interaction with report data at runtime, while Menu parameters specifically present predefined lists. This provides controlled input and prevents users from entering arbitrary department identifiers.
Bursting is concerned with splitting and distributing report output. Translation functionality localizes report content. Layout Editor controls report presentation rather than query parameters.
Therefore, the feature that satisfies a predefined department selection before query execution is the List of Values parameter mechanism , making D correct.
Reference Topic: Exploring and Creating Reports and Data Models - Parameters and Lists of Values
NEW QUESTION # 89
You have been tasked with building an analysis that requires data from two subject areas. How do you accomplish this?
Answer: B
Explanation:
Oracle Analytics supports cross-subject-area analyses , so the appropriate approach is to create the analysis using the primary subject area and then add another compatible or related subject area through the Analysis Editor.
Oracle's documented workflow starts by selecting one subject area and adding the initial analysis columns.
The author then uses Add/Remove Subject Areas in the Subject Areas pane to include another subject area and select the additional required columns. Where local dimensions are involved, Oracle recommends including an appropriate measure from each participating subject area so that the semantic model can resolve the query correctly.
The Analysis Editor is therefore capable of querying multiple subject areas when the semantic relationships support the requested combination. Modifying the semantic model simply to expose every required column in one subject area is unnecessary when compatible subject areas already exist. UNION is a set operation used for combining compatible result sets and is not the standard mechanism for selecting related columns across subject areas. MERGE and dashboard prompts likewise do not establish semantic relationships.
Thus, the supported workflow is to create one analysis and add the second related subject area.
Reference Topic: Managing and Creating Analyses, Views, and Content - Cross-Subject-Area Analyses
NEW QUESTION # 90
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