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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Formatting Data and Managing Filters, Selection Steps, and Variables 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: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Topic 5: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Topic 6: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Topic 7: Understanding Oracle Analytics Cloud | 5% | |
| Topic 8: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Topic 9: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Topic 10: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% |
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NEW QUESTION # 12
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: B
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 # 13
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: A,C
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 # 14
Which Oracle Analytics Cloud administrative feature allows scheduled execution and delivery of analyses or alerts when predefined conditions are met?
Answer: B
Explanation:
Agents are the intended Oracle Analytics capability for automatically executing analytical content according to a schedule or business condition and then delivering the resulting information to users or configured destinations. An agent can run periodically, evaluate a condition, select analytical content, identify recipients, and determine delivery destinations.
For example, an agent can evaluate an analysis each morning and deliver an alert only when inventory drops below a defined threshold. Oracle's current Oracle Analytics Cloud interface increasingly uses the term Delivery for this functionality, but the underlying scheduled/conditional delivery framework is the same capability historically identified as Agents in Classic Analytics.
Selection Steps control which members appear in analysis results. Trellis Views provide repeated comparative visualizations. Subject Areas expose governed business data from the semantic model. None of those features performs condition-driven scheduled delivery.
There is an internal error in the uploaded source: the placement of its "Correct answer" marker makes Selection Steps appear keyed, while the source explanation explicitly says that Agents automate execution and distribution based on schedules or conditions . Oracle documentation supports Agents/Deliveries, so the verified answer is A .
Reference Topic: Managing Administration, Security, and Performance - Agents, Deliveries, Conditions, and Scheduling
NEW QUESTION # 15
Which statement describes the purpose of Virtual Private Database (VPD) in a secure reporting approach?
Answer: B
Explanation:
Oracle Virtual Private Database (VPD) implements fine-grained, database-level access control by dynamically restricting rows returned to a user. A VPD policy associates a policy function with a protected table, view, or synonym. When a SQL statement references that object, Oracle Database automatically applies the policy-generated predicate to the statement.
For example, a query that conceptually requests every row from a sales table can transparently become a query restricted to the current user's authorized sales region. This makes VPD particularly suitable for reporting environments where multiple users execute similar reports but must see different subsets of the underlying data.
Oracle Analytics Publisher can preserve user identity through proxy-authenticated connections, while the database's VPD policy performs the row-level enforcement. This is fundamentally stronger than filtering sensitive rows only after they have already been returned to Publisher.
Catalog permissions solve a different security problem: they determine who can access or modify report objects. Bursting creates personalized documents but doesn't constitute database row-level security.
Therefore, VPD's defining role in this scenario is database-enforced row-level security , making A correct.
Reference Topic: Managing and Securing Oracle Analytics Publisher - VPD and Row-Level Data Security
NEW QUESTION # 16
What happens when a user drills on an attribute column in the Analysis Editor?
Answer: D
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 # 17
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