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| Section | Weight | Objectives |
|---|---|---|
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing views - Managing analytics content - Creating and managing analyses |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Creating and designing dashboards - Enhancing dashboards and briefing books |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Security and application roles - Performance and caching |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using Layout Editor - Using RTF Template Builder - Formatting and customizing reports - Creating Excel and eText templates |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Report translations - Bursting and delivery - Publisher administration - Scheduling reports - Managing report data sources |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Formatting data - Managing selection steps - Using prompts and variables - Managing filters |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
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NEW QUESTION # 51
A BI developer creates a reusable analysis that should be available to multiple departments while maintaining centralized security. Where should the analysis normally be stored?
Answer: A
Explanation:
A reusable enterprise analysis intended for multiple departments should normally be stored in a Shared Folder within the Oracle Analytics Catalog. Shared Folders are designed for analytics content that needs to be consumed collaboratively and governed through centrally managed permissions.
Oracle recommends storing shared analytics objects in Shared Folders and assigning appropriate access rights to users or application roles. Administrators can create a structured shared-folder hierarchy and configure folder-level permissions so that contained objects inherit the required access controls. This is substantially easier to govern than maintaining separate copies of an analysis for individual users or departments.
By contrast, My Folders/personal folders are intended for content belonging to an individual user and aren't the appropriate location for enterprise-wide reusable objects. Browser storage and temporary caches aren't catalog repositories and provide neither durable analytics-content management nor centralized authorization.
A Shared Folder therefore enables the same analysis to be maintained once while granting departments the appropriate read, modify, or other access rights through catalog security.
Accordingly, option A provides the appropriate combination of reuse, centralized management, and security .
Reference Topic: Managing and Creating Analyses, Views, and Content - Shared Catalog Folders
NEW QUESTION # 52
A report author is working in a task editor and needs to start a new Publisher object without returning to the home page. Which Global Header option should the author use?
Answer: C
Explanation:
The New option in the Global Header is the appropriate choice. Oracle Analytics Publisher provides global navigation controls so that users can initiate creation tasks without first returning to the Home page. From the global header, selecting New exposes the available object types that the user's privileges permit them to create, such as reports and other Publisher artifacts.
Oracle's current Oracle Analytics Cloud Publisher documentation specifically identifies the global-header workflow for report creation: from the Global Header, click New , then select Report . Similar creation workflows use the same New entry point for other supported Publisher content.
The Catalog option is intended for navigating and managing stored catalog objects rather than immediately initiating a new-object workflow. Home returns the author to the main landing page, which contradicts the requirement to remain within the existing workspace. Open is used for accessing existing content rather than creating a new object. Signed In As relates to account and user-session functionality.
Therefore, New is the global action designed to start creation directly from the current task context and avoids unnecessary navigation back through the Home page.
Reference Topic: Oracle Analytics Publisher - Global Header, Catalog Navigation, and Object Creation
NEW QUESTION # 53
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: E
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 # 54
A user has downloaded a password-protected wallet and is adding a new SQL Developer connection to an Autonomous Data Warehouse. Which two settings are required in the New Database Connection dialog box?
Answer: B,D
Explanation:
The intended answer is B and D , but the terminology is version-specific. Oracle SQL Developer historically used the connection type Cloud PDB for wallet-based Autonomous Database connections. The user selected Cloud PDB, browsed to the downloaded client-credentials ZIP file, supplied the wallet/keystore password, selected the database service, tested the connection, and saved it.
Oracle subsequently renamed this connection type Cloud Wallet . Current Oracle documentation specifies Cloud Wallet, the client-credentials configuration file, database user credentials, and an appropriate service name. Oracle explicitly notes that Cloud PDB is the older name , including in SQL Developer 18.2-era workflows. Therefore, option B remains the intended examination choice because Cloud Wallet isn't offered among the options.
The service list represents database service names such as high, medium, or low service configurations; it doesn't represent OCI compartments. ODBC and Basic connections aren't the wallet-based configuration described.
Accordingly, B and D match the historical workflow reflected by the question, while candidates should recognize that Cloud Wallet is the current SQL Developer terminology .
Reference Topic: Connecting to Data Sources - SQL Developer Connections to Autonomous Data Warehouse
NEW QUESTION # 55
During dashboard execution, a user selects a fiscal year from a prompt, and multiple analyses immediately refresh using that value. Which variable type is typically used to support this behavior?
Answer: A
Explanation:
A Presentation Variable is the variable type specifically designed to capture a value selected by a user through a dashboard prompt and make that value available dynamically to analyses and other dashboard content.
Oracle states that a presentation variable can be created as part of either a column prompt or a variable prompt . Whenever the user selects one or more values in the associated prompt, Oracle sets the presentation variable to the selected value or values. Analyses can then reference that variable in filters, column formulas, titles, narrative text, or other supported expressions.
In this scenario, selecting Fiscal Year at runtime establishes a user-controlled value that multiple analyses can consume. Because the value changes interactively as the user changes the prompt selection, Presentation Variable is the appropriate variable scope.
A Repository Variable is centrally managed and isn't normally populated from a user's dashboard selection.
Session variables generally hold user-specific or system values initialized for a login session. Initialization blocks are mechanisms used to populate certain server/session variables rather than the runtime dashboard variable required here.
Therefore, Presentation Variable precisely matches the described prompt-driven dashboard behavior.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Presentation Variables
NEW QUESTION # 56
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