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| Section | Weight | Objectives |
|---|---|---|
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing views - Creating and managing analyses |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Formatting and customizing reports - Creating Excel and eText templates - Using RTF Template Builder - Using Layout Editor |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Performance and caching - Security and application roles |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Creating and designing dashboards - Enhancing dashboards and briefing books |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing selection steps - Using prompts and variables - Managing filters - Formatting data |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Report translations - Publisher administration - Managing report data sources - Scheduling reports - Bursting and delivery |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
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NEW QUESTION # 80
You have been tasked with building an analysis that requires data from two subject areas. How do you accomplish this?
Answer: D
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 # 81
An administrator needs to see how many users are signed in to the service and view detailed information about each signed-in user. What should the administrator use?
Answer: C
Explanation:
The intended administrative function is Manage Sessions . Oracle documents session monitoring as the mechanism for viewing the total number of active sessions and detailed information about currently signed-in users. Available details include the user identifier, browser information, login time, last-access time, and associated query activity.
In current Oracle Analytics Cloud interfaces, this functionality is surfaced through Console # Sessions and Query Logs , where the Sessions section displays the total number of sessions and user details. Earlier and related Oracle Analytics interfaces expose the same capability as Administration # Manage Sessions . Since that is the terminology supplied by the answer options, C is the correct examination response.
Application Roles manage authorization membership rather than active sessions. Save Content with HTML Markup is a specific security privilege controlling whether HTML-bearing content can be saved. Manage Privileges configures functional privileges but doesn't itself provide the active-user session list. Catalog monitoring similarly doesn't answer the requirement to enumerate currently signed-in users.
Therefore, Manage Sessions is the correct functional capability, with Sessions and Query Logs being the current OAC Console presentation of that functionality.
Reference Topic: Managing Administration, Security, and Performance - Monitoring Users and Sessions
NEW QUESTION # 82
Which role is required to edit and create a new semantic model in Oracle Analytics Cloud Enterprise Edition?
Answer: D
Explanation:
The required predefined application role is BI Data Model Author . Oracle defines this role specifically for users who create and manage semantic models with Semantic Modeler. Membership provides access to Semantic Modeler and the capabilities required to create, edit, and deploy semantic models.
Oracle's current Semantic Modeler workflow documentation explicitly instructs administrators to grant the BI Data Model Author application role to users who require semantic-model development access. If the role is not assigned, the Semantic Model option may not appear on the Create page, and deployment-related capabilities are unavailable.
The other roles serve different functions. BI Content Author focuses on analyses, dashboards, and pixel- perfect reports rather than semantic-model administration. DV Consumer is intended for consuming and exploring visualizations. BI Data Load Author is not the semantic-model authoring role. "BI RPD Model Author" and "BI Service User" are not the applicable predefined application role for the current Semantic Modeler workflow described by Oracle.
Therefore, BI Data Model Author is the role aligned directly with creating, editing, managing, and deploying semantic models in Oracle Analytics Cloud.
Reference Topic: Managing Administration, Security, and Performance - Application Roles and Semantic Model Security
NEW QUESTION # 83
An administrator wants Oracle Analytics Cloud to securely connect to an on-premises Oracle Database without exposing the database directly to the internet. Which feature should be implemented?
Answer: A
Explanation:
Data Gateway is Oracle Analytics Cloud's supported remote-data-connectivity mechanism for accessing eligible on-premises data sources when the data remains within the organization's network. Oracle instructs administrators to install Data Gateway on a host within the network where the data source resides and register it with the target Oracle Analytics Cloud environment.
OAC can then route supported analytical requests through the configured remote connectivity mechanism rather than requiring the database itself to be directly exposed through a public internet endpoint. When creating the OAC database connection, the administrator enables Use Remote Data Connectivity so queries can use Data Gateway.
Oracle's current security guidance identifies both Data Gateway and Private Access Channel as secure approaches for connecting OAC to on-premises data sources. Since Private Access Channel isn't one of the answer choices, Data Gateway is unequivocally the correct response here.
OCI Object Storage is an object-storage platform and doesn't provide the required database-query bridge. FTP transfers files rather than establishing analytical SQL connectivity. A Public REST Endpoint would contradict the requirement to avoid direct internet exposure.
Therefore, the appropriate feature is Oracle Analytics Data Gateway .
Reference Topic: Connecting to Data Sources and Migrating Artifacts - Data Gateway and Remote Data Connectivity
NEW QUESTION # 84
A finance department needs monthly invoices to be automatically distributed as separate PDF files to each customer based on customer email addresses stored in the data model. Which Oracle Analytics Publisher feature should be used?
Answer: C
Explanation:
Report Bursting is specifically designed to split a single report execution into multiple personalized documents and deliver each document according to recipient-specific information. In this scenario, the finance department can use Customer ID as the bursting Split By and Deliver By key. The bursting delivery query can retrieve each customer's email address, output format, template, locale, and other delivery parameters from the underlying data.
Oracle provides a documented invoice bursting example in which CUSTOMER_ID identifies each report segment, the output format is selected dynamically, the delivery channel is EMAIL, and the customer's email address is supplied by the bursting query. The same architecture permits thousands of invoices to be generated from one report definition and distributed independently.
Layout Editor controls visual report design but doesn't automate recipient-specific splitting. Dashboard Prompts provide runtime filtering, and Conditional Formatting changes presentation according to conditions.
Therefore, Report Bursting precisely satisfies both requirements: generating a separate PDF for each customer and automatically delivering each document to the corresponding email address.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Bursting and Delivery
NEW QUESTION # 85
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