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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Topic 2: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Topic 3: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Topic 4: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Topic 5: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Topic 6: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Topic 7: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Topic 8: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Topic 9: Understanding Oracle Analytics Cloud | 5% | |
| Topic 10: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% |
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NEW QUESTION # 46
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: B
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 # 47
A scheduled report job uses a schedule trigger. The SQL query in the trigger returns no data when the job is scheduled to run. What is the result?
Answer: E
Explanation:
The scheduled job instance is skipped . Oracle Analytics Publisher defines a Schedule Trigger as a SQL query that is executed when the scheduled report job is triggered, before the report itself runs. The returned result determines whether the execution condition has been satisfied.
Oracle states explicitly that if the trigger SQL returns data , the associated report job executes. If the SQL query returns no data , the job instance is skipped. This mechanism allows report execution to depend on a business or technical condition. For example, a report could execute only after an ETL process has completed, only when transactions exceed a specified amount, or only when new records have appeared.
The trigger doesn't convert the job into a bursting job, nor does Publisher execute an empty report merely with a warning. The scheduled job definition also isn't deleted; only that execution instance is skipped. For recurring schedules, subsequent trigger evaluations can still occur according to the configured recurrence and retry behavior.
Therefore, a no-row result from the Schedule Trigger means its condition evaluated as not satisfied and the current job instance is skipped .
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Schedule Triggers
NEW QUESTION # 48
You must create a custom sales report for each of 3,200 sales representatives using Oracle Analytics Cloud Enterprise Edition. Which tool must you use and why?
Answer: C
Explanation:
Pixel-Perfect Reporting with Bursting is specifically designed for high-volume personalized document generation and distribution. Oracle Analytics Publisher executes the underlying report query, splits the resulting data according to a configured Split By key, generates a separate document for each resulting block, and determines formatting and delivery through the bursting delivery definition.
This architecture is well suited to producing 3,200 individualized sales reports. A sales-representative identifier can act as the bursting key, allowing one report definition and one data-extraction process to generate separate reports for each representative. Each segment can also use destination-specific delivery information, templates, output formats, locale settings, and delivery channels.
Oracle documents analogous bursting use cases such as generating individual cost-center reports for managers, customer invoices with customer-specific delivery preferences, and payslips for all employees from one extract. The same design pattern applies directly to thousands of sales representatives.
SMTP only provides an email transport mechanism; it doesn't perform report segmentation. Smart View is an Office-based analytics client. Agents automate analytical delivery but aren't the Publisher document-splitting technology required here.
Therefore, Pixel-Perfect Reporting with Bursting is the scalable solution.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Report Bursting
NEW QUESTION # 49
You created a product-type dashboard prompt and applied it to the dashboard. When a user applies the prompt, two reports refresh as expected but two others do not. What are two possible reasons for this?
Answer: B,F
Explanation:
A dashboard prompt can affect an embedded analysis only when the analysis is configured to accept the prompt's value. A protected filter deliberately prevents a dashboard prompt from overriding that filter.
Oracle describes protected versus unprotected filters specifically as a mechanism controlling whether dashboard prompt values can determine an analysis's results. Therefore, a protected filter is a direct explanation for one of the non-responsive reports.
The second issue is a mismatch between the prompt column formula and the analysis filter formula .
Prompt wiring depends on the relevant column identity and formula being compatible. If the analysis uses a modified formula while the prompt targets another formula, Oracle cannot automatically apply the prompt as intended.
By contrast, an Is Prompted filter is specifically intended to receive a prompt value and is therefore normally part of a working configuration. Cache expiration does not explain selective prompt incompatibility, and simply containing measure columns is not itself the documented cause.
The two failed analyses should therefore be inspected for protected filters and formula mismatches between their filtering expressions and the dashboard prompt.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Dashboard Prompt Interaction
NEW QUESTION # 50
A report designer needs to create interactive prompts in an Oracle Analytics Publisher (OAP) report to allow users to filter by sales region and a specific date. Which two parameter types would be most suitable?
Answer: B,D
Explanation:
A List of Values (LOV) mechanism and a Date parameter provide the appropriate controls for this requirement. For sales region, users should select from a predefined, controlled collection of valid business values rather than entering arbitrary text. In Publisher, this is normally implemented using a Menu parameter associated with an LOV . The LOV can contain fixed values or be populated dynamically through a SQL query, thereby ensuring that the regions presented to users correspond to valid source-data values.
For the specific-date requirement, Publisher provides the Date parameter type. A Date parameter exposes an appropriate date-selection interface and passes a date value to the underlying data set using the configured date datatype and Java date format.
Boolean parameters are intended for true/false-style conditions rather than selecting geographical members.
Expression and XML are not the appropriate interactive parameter controls for these requirements.
Technically, Oracle terminology treats the LOV as the value source associated with a Menu parameter; therefore, option C represents the intended region-selection mechanism in this question.
Reference Topic: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher - Parameters and Lists of Values
NEW QUESTION # 51
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