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| Section | Weight | Objectives |
|---|---|---|
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 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% | |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Understanding Oracle Analytics Cloud | 5% | |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% |
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NEW QUESTION # 75
Which type of report is an example of the bursting feature in Pixel-Perfect Reporting?
Answer: B
Explanation:
Customized regional marketing reports represent an appropriate bursting use case because bursting is intended to take a single report data set, divide it into logically distinct sections, generate separate documents, and deliver those documents according to segment-specific criteria.
For example, an organization could retrieve enterprise marketing performance in one query and split the resulting data by Region. Publisher could then generate one report for Europe, another for North America, another for Asia-Pacific, and so forth. Each segment could be delivered to the appropriate regional manager and could use its own locale, output format, template, or delivery destination.
Oracle's documented bursting examples follow precisely this pattern: customer-specific invoices, separate financial reports for cost-center managers, and individualized employee payslips. Customized regional reports are another application of the same key-based segmentation and delivery architecture.
Bar codes and government PDF forms are valid pixel-perfect reporting scenarios but don't inherently require bursting. Interactive data exploration is associated with analytical visualization, and ad hoc reporting refers to dynamically created analyses rather than mass personalized document generation.
Therefore, customized regional marketing reports are the choice that directly demonstrates Publisher bursting.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Bursting Use Cases
NEW QUESTION # 76
What happens when a user drills on an attribute column in the Analysis Editor?
Answer: E
Explanation:
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
NEW QUESTION # 77
An organization wants business users to build analyses without knowing SQL while still using governed enterprise data. Which Oracle Analytics Cloud capability enables this approach?
Answer: D
Explanation:
Subject Areas provide the business-oriented interface that enables analysts to create governed analyses without writing SQL. Oracle defines subject areas as logical collections of related business information exposed from a deployed semantic model. They contain presentation tables, columns, measures, hierarchies, and other analytical objects that business users can select through the Analysis Editor.
The semantic model hides the complexity of underlying database structures. A user can therefore select concepts such as Customer, Product, Revenue, Quarter, or Region rather than determine physical table names, joins, aggregation rules, or SQL syntax. When an analysis executes, the Oracle Analytics query engine uses the semantic-model metadata to generate the appropriate physical queries against the source systems.
This model combines usability with governance because calculations, relationships, security rules, and business definitions remain centrally managed.
Direct SQL requires technical query knowledge and bypasses much of the business-friendly abstraction the scenario demands. Database triggers serve transactional database functions, while OCI Object Storage is a storage service rather than a semantic reporting interface.
Therefore, Subject Areas are the correct capability for governed, SQL-free business analysis.
Reference Topic: Managing and Creating Analyses, Views, and Content - Subject Areas
NEW QUESTION # 78
You are configuring two report parameters. The second parameter must refresh its available values based on the value selected in the first parameter. Which two selections support this cascading parameter behavior?
Answer: C,F
Explanation:
The technically correct combination is A and E . Oracle Analytics Publisher implements cascading parameters primarily through a Menu parameter backed by a List of Values , together with the Refresh other parameters on change option. Oracle states that Menu parameters support partial-page refresh for cascading parameters. When Refresh other parameters on change is enabled on the controlling parameter, Publisher performs a partial refresh of other parameters whose available values depend on the changed value.
For example, a Department Menu parameter can control an Employee Menu parameter. When Department changes, Publisher reevaluates the dependent employee LOV and presents only employees belonging to the selected department.
Multiple Selection does not create or enable cascading behavior. It merely allows more than one value to be chosen from a parameter's list. Therefore, option D in the uploaded source key should not be treated as the mechanism that establishes the dependency. A Date parameter does not provide the required LOV-based cascading model, while Fixed Data does not dynamically reevaluate dependent values.
Accordingly, this question requires a correction from the supplied key: Refresh other parameters on change
+ Menu parameter is the Oracle-documented implementation.
Reference Topic: Exploring and Creating Reports and Data Models - Cascading Parameters and Lists of Values
NEW QUESTION # 79
An analyst wants to highlight sales values above target in green and values below target in red without changing the underlying data. Which feature should be used?
Answer: D
Explanation:
Conditional Formatting is specifically designed to modify the visual representation of data when defined conditions are satisfied while leaving the underlying values unchanged. The analyst can establish rules such as Sales greater than or equal to Target and apply one format, while values below Target receive a different format.
Oracle Analytics supports conditional rules based on measures, attributes, thresholds, percentages, and expressions. Formatting can include font characteristics, cell presentation, images, backgrounds, and visualization-specific properties. Oracle's examples include stoplight-style formatting in which low, medium, and high values receive different visual treatments.
This functionality affects presentation only; it doesn't alter the source Sales values or change the actual calculation. That directly satisfies the requirement.
A Repository Variable stores centrally maintained values and isn't itself a visualization rule. Selection Steps determine which members appear after query aggregation. A Subject Area Filter limits the data returned or made available rather than simply changing its appearance.
Consequently, the appropriate feature for showing above-target values in green and below-target values in red is Conditional Formatting , making A correct.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Conditional Formatting
NEW QUESTION # 80
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