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| Section | Weight | Objectives |
|---|---|---|
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Understanding Oracle Analytics Cloud | 5% | |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% |
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NEW QUESTION # 74
What happens when a user drills on an attribute column in the Analysis Editor?
Answer: A
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 # 75
An author wants to limit which members are displayed in an analysis without changing the resulting values like a filter would. Which two statements describe selection steps?
Answer: C,D
Explanation:
Selection steps differ fundamentally from conventional filters in their position within analytical processing.
Oracle states that filters are evaluated before aggregation , whereas selection steps are applied after the query has been aggregated . As a result, selection steps determine which members are displayed without recalculating the previously established aggregate values.
For example, assume a hierarchy contains members totaling 100. If an ordinary filter removes one member before aggregation, the measure total can change. If a selection step removes that member after aggregation, the displayed membership changes while the aggregate can remain 100. This behavior is precisely why selection steps are valuable for analytical member manipulation such as Keep Only, Add, Remove, or condition-based selections.
Within classic analyses, Oracle supports creation of selection steps for attribute columns and hierarchical columns . Measure columns can be used to formulate conditions for selection steps, but selection steps aren't directly created for measures themselves.
Selection steps don't replace filters; both serve distinct analytical purposes. They also aren't restricted to pivot tables.
Therefore, C and D correctly identify their applicable column types and their post-aggregation effect on displayed members.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Selection Steps
NEW QUESTION # 76
An organization wants a dashboard page that displays executive KPIs, detailed trend charts, and supporting tables together in a single layout. Which dashboard capability should be used?
Answer: D
Explanation:
Compound Layout is the correct answer. Oracle Analytics defines a Compound Layout as a collection of multiple views of an analysis displayed together. Authors can position tables, pivot tables, graphs, narrative views, and other views within the same results layout. Oracle specifically states that multiple views can be combined and positioned anywhere within the Compound Layout.
This directly matches a requirement to show executive summary information, trend visualizations, and supporting detail together. An author can combine the relevant views and arrange them so consumers see different perspectives of the same analytical result set without moving between separate objects.
Guided Navigation serves a different purpose. It supports conditional navigation or conditionally displayed content based on analytical conditions; it isn't the layout container for simultaneously presenting multiple analytical views. Briefing Books capture dashboard content for offline or distributable consumption, while Action Links enable navigation or actions from analytical content.
The uploaded source contains an internal contradiction here: its answer marker identifies Guided Navigation
, but its own explanation describes Compound Layout . Oracle documentation confirms that A is the technically correct answer .
Reference Topic: Managing and Creating Analyses, Views, and Content - Compound Layouts
NEW QUESTION # 77
Which two statements about dashboard prompts are correct?
Answer: D,F
Explanation:
A and B are the intended answers. Oracle Analytics supports constrained or cascading prompts , where a value selected in one prompt restricts the values presented by another. A classic example is selecting a Region first and having a subsequent City prompt display only cities within that region. This improves usability and prevents invalid combinations of prompt values.
Oracle also allows prompt default selections to be derived from server-side variables. These include session variables , which can contain user-specific information initialized when a user signs in, and semantic-model
/repository variables, which provide centrally maintained values. Such variables can therefore initialize prompts dynamically rather than requiring hard-coded default selections.
Statements C and D impose restrictions that Oracle Analytics does not require. F directly contradicts Oracle variable support.
There is an important technical issue with this question: Oracle Analytics also supports different prompt forms, including column and variable prompts, so E can be interpreted as generally valid . Consequently, E is a weak distractor and makes the item somewhat ambiguous when interpreted literally. For the supplied two- answer examination key and the specific concepts being tested-constrained prompts and variable-based defaults- A and B are the intended selections .
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Dashboard Prompts and Variables
NEW QUESTION # 78
A report developer must configure Oracle Analytics Publisher to retrieve data from an external relational database. Which component should be configured first?
Answer: D
Explanation:
A JDBC Data Source must be configured before Publisher data models can retrieve information from an external relational database through JDBC. Oracle Analytics Publisher separates connection administration from report development. Database connections are first established by an administrator through the Publisher Administration page and are then made available to authorized report and data-model developers.
Oracle Publisher supports direct JDBC connections and connections through a JNDI connection pool. The connection definition contains the information Publisher requires to reach the relational source, including the JDBC driver, connection string, credentials, and applicable role-based access configuration.
Only after a valid data source exists can a developer reliably construct an SQL Query Data Set against that source and use it within a Publisher data model.
Translation Manager performs localization and doesn't create database connectivity. A report layout controls presentation after data has been retrieved. Dashboard Prompts belong to interactive analytical filtering and aren't the foundational relational connection mechanism.
Therefore, the external database connection must be established first as a JDBC Data Source , making option C correct.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Publisher Data Sources and JDBC Connections
NEW QUESTION # 79
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