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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Topic 2: Data Modeling and Semantic Design | 30% | - Data Source Connections and Integration
|
| Topic 3: Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Topic 4: Governance, Security, and Administration | 25% | - User and Access Governance
|
| Topic 5: Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
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NEW QUESTION # 103
An administrator is preparing Oracle Analytics Publisher to deliver scheduled reports to OCI Object Storage.
Which two requirements or setup actions support this delivery channel?
Answer: E,F
Explanation:
OCI Object Storage can be configured as an Oracle Analytics Publisher delivery destination, but the Publisher service requires both appropriate OCI permissions and authentication information.
First, the administrator must have access to an OCI compartment in which an Object Storage bucket can be created or used. Oracle documents specific tenancy and compartment permissions for this purpose, including access to the Object Storage namespace and required bucket/object operations.
Second, Oracle's documented configuration workflow instructs the administrator to use the OCI Console to create a bucket and configure an API key for authentication . The associated user, tenancy OCIDs, public- key fingerprint, private key, compartment, and bucket information are then used when defining the Object Storage delivery server in Publisher.
CUPS and fax4CUPS relate to printer/fax delivery rather than OCI Object Storage. An Intradoc URI and Content Server metadata concern Oracle WebCenter Content integration. SMTP is required for email delivery but not Object Storage.
Therefore, compartment/bucket access and an OCI bucket authenticated through an API signing-key configuration are the two prerequisites directly associated with this Publisher delivery channel.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Object Storage Delivery
NEW QUESTION # 104
An administrator needs to ensure that only members of the Finance department can modify a shared dashboard while all other users have read-only access. Which Oracle Analytics Cloud feature should be configured?
Answer: C
Explanation:
Catalog Object Permissions provide the required authorization control for shared Oracle Analytics content.
Dashboards, analyses, folders, and related catalog objects can be assigned permissions that determine which users or application roles can read, modify, delete, or otherwise manage them. For this scenario, the administrator can grant the Finance application role appropriate modification privileges while granting other authorized consumers read-only access.
Oracle recommends assigning access through roles rather than individual users wherever possible. This simplifies administration because users inherit the catalog permissions associated with their application-role membership. Shared-folder permissions can also be used so that contained objects inherit a consistent security configuration.
A Dashboard Prompt controls filtering and runtime input, not modification rights. Data Gateway provides connectivity to remote or on-premises sources. Query Cache improves analytical query performance but has no role in dashboard authorization.
The uploaded source identifies Catalog Object Permissions for this scenario, and Oracle documentation confirms that shared analytics content can be secured using permissions assigned to users and roles.
Reference Topic: Managing Administration, Security, and Performance - Catalog Security and Object Permissions
NEW QUESTION # 105
An author repeatedly uses the same state filter in multiple analyses and wants to reuse the filter. What should the author do?
Answer: B
Explanation:
The author should save the filter as a named filter in the catalog . Oracle Analytics distinguishes between inline filters and named filters. An inline filter belongs to one specific analysis, whereas a named filter is stored independently in the Oracle Analytics Catalog and can subsequently be referenced by multiple compatible analyses.
This is particularly useful for centrally reused business criteria. For example, an organization might create a named filter representing a specific State, Quarter, business unit, or product group. Report authors can then apply that saved filter to multiple analyses rather than recreate the filter definition repeatedly. Oracle also notes that when a named filter is edited and saved, changes can propagate wherever the named filter is referenced, improving consistency and maintainability.
Changing AND/OR grouping merely modifies logical relationships between existing filters and doesn't make the filter independently reusable. Drilling changes the current analytical detail level. A dashboard prompt provides runtime filtering but isn't required simply to reuse the same predetermined filter definition.
Therefore, the appropriate reusable object is a Named Filter saved in the Catalog .
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Named Filters
NEW QUESTION # 106
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: B
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 # 107
An analyst wants an analysis to always display data for the currently logged-in user's assigned sales region without requiring manual input. Which variable type is most appropriate?
Answer: C
Explanation:
A Session Variable is the appropriate choice because its value is associated with an individual user's Oracle Analytics session. Oracle states that session variables are initialized when a user signs in and remain available throughout that user's browsing session. A non-system session variable can therefore hold contextual values such as the user's department, organizational unit, or SalesRegion .
For this scenario, an initialization block can retrieve the user's assigned region during authentication. An analysis can reference that session variable in a data filter, causing each user to receive automatically filtered results without entering a region manually. Oracle explicitly uses user department and sales region as examples of session-variable values.
A Presentation Variable is normally populated interactively through a dashboard or analysis prompt, which violates the requirement for no manual input. A semantic model/repository variable generally holds a value shared more broadly rather than a user-specific login value. A Request Variable temporarily overrides a session variable for an individual request.
Therefore, Session Variable directly provides the required user-specific, login-initialized analytical context.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Session Variables
NEW QUESTION # 108
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