1z0-931-25 Exam Dumps - Oracle Autonomous Database Cloud 2025 Professional

Autonomous Database supports multiple methods for loading data, tailored to its cloud-managed nature. The three correct methods are:

Oracle Data Pump (A):Data Pump is a versatile tool for importing data into Autonomous Database. You export data from a source database (e.g., using expdp), upload the dump files to OCI Object Storage, and then use the DBMS_CLOUD package (e.g., DBMS_CLOUD.COPY_DATA) to import it. It’s ideal for bulk data migration, supporting complex schemas and large datasets. For example, a DBA might export a schema from an on-premises database, upload it to a bucket, and import it into ADB with minimal downtime.

Oracle GoldenGate (C):GoldenGate enables real-time data replication from sourcedatabases (on-premises or cloud) to Autonomous Database. It’s perfect for continuous data loading or synchronization, supporting both initial loads and ongoing change data capture. For instance, you could replicate transactional data from an OLTP system to ADB using GoldenGate’s CDC (Change Data Capture) capabilities, ensuring near-zero latency.

SQL*Loader (E):SQL*Loader loads data from flat files (e.g., CSV, text) into Autonomous Database. You upload files to OCI Object Storage and use DBMS_CLOUD procedures (e.g., DBMS_CLOUD.LOAD_DATA) to process them. It’s efficient for structured data imports, like loading a CSV of customer records, with options to handle errors and transformations.

The incorrect options are:

RMAN Restore (B):Recovery Manager (RMAN) is for backups and restores, not general data loading. While it can restore an ADB from a backup, it’s not a method for loading new data into an existing instance.

Transportable Tablespace (D):This method moves tablespaces between databases by copying data files, but it’s not supported in Autonomous Database due to its managed architecture, which restricts direct file-level operations.

These methods cater to different use cases: Data Pump for migrations, GoldenGate for replication, and SQL*Loader for file-based loads.

The scenario requires a low-maintenance, high-performance database for an OLTP web application with occasional reporting. The correct answer is:

ATP using 'tpurgent' and 'high' TNS services to separate connection types (A):Autonomous Transaction Processing (ATP) is ideal here. It’s a fully managed database optimized for OLTP workloads (e.g., scheduling service requests) with zero maintenance overhead—Oracle handles patching, backups, and tuning. ATP supports multiple connection services:

'tpurgent':Prioritizes low-latency, time-critical transactions (e.g., customer scheduling requests), ensuring fast response times for the web app.

'high':Suited for high-concurrency or reporting queries, allowing operational reports to run during non-peak hours without impacting the OLTP workload.By using these predefined services, the architecture separates transactional and reporting workloads within the same database, meeting performance needs without additional administration. For example, the web app connects via tpurgent for real-time updates, while a reporting tool uses high for batch queries at night, leveraging ATP’s auto-scaling if needed.

The incorrect options are:

Since the application needs to be highly available, it should be deployed on a Kubernetes Cluster (B):This misinterprets the question—it’s about the database service,not the application deployment. Kubernetes is for container orchestration, not a database solution, and adds complexity counter to the low-maintenance goal.

It is best to build a separate data warehouse, and move the OLTP data on a nightly basis (C):While a separate Autonomous Data Warehouse (ADW) could handle reporting, it requires data movement (e.g., via ETL), increasing admin effort and complexity, which the DBA Manager wants to avoid. ATP can handle both workloads with proper service separation.

ADW since operational reporting is a higher priority in this scenario (D):ADW is optimized for analytics, not OLTP. The web app’s transactional needs are primary, with reporting secondary and occasional, making ATP more suitable.

ATP’s self-managing nature and service flexibility make it the best fit.

Disabling Autonomous Data Guard affects the standby database:

Correct Answer (A): “The standby database is terminated” is true. When Data Guard is disabled via the OCI Console or API, the standby database is deleted, ending its role as a replica. This is a permanent action requiring re-enablement to recreate a standby.

Incorrect Options:

B: The standby doesn’t become read-write; it’s removed entirely.

C: It doesn’t remain read-only; termination stops all operations.

Autonomous Database on Dedicated Infrastructure offers more control than shared infrastructure. The two correct statements are:

You, as the customer, are responsible for all patching operations (A):In dedicated infrastructure, customers manage patching for Autonomous Container Databases (ACDs) and Autonomous Databases (ADBs), unlike shared infrastructure where Oracle handles it. You choose when to apply Release Updates (RUs) or skip them (up to two quarters), using the OCI console or API (e.g., oci db autonomous-container-database update). For example, you might schedule an RU for an ACD on a Saturday night, downloading the patch from Oracle and applying it manually to minimize downtime. This responsibility comes with the dedicated model’s flexibility.

You can set maintenance windows for each individual Autonomous Container Database (C):Dedicated infrastructure allows setting specific maintenance windows perACD, not just at the Exadata Infrastructure level. In the OCI console, under each ACD’s details, you configure a preferred time (e.g., “Sundays, 02:00-04:00 UTC”), ensuring patches or upgrades align with your schedule. For instance, ACD1 might patch Sundays, while ACD2 patches Tuesdays, tailoring downtime to different workloads.

The incorrect options are:

You can set maintenance windows for an Autonomous Exadata Infrastructure (B):Maintenance windows are set at the ACD level, not the broader Autonomous Exadata Infrastructure (AEI) level. AEI maintenance (e.g., hardware updates) is Oracle-managed, with notification but no customer scheduling.

Patching occurs on the first Sunday of each quarter (D):There’s no fixed schedule like “first Sunday.” In dedicated mode, you control patching timing within a quarter, notified by Oracle of available RUs, unlike shared infrastructure’s Oracle-driven schedule.

These statements highlight dedicated infrastructure’s customer-driven management.

Full Detailed In-Depth Explanation:

The DBMS_CLOUD package facilitates cloud integration:

A:True. CREATE_EXTERNAL_TABLE creates external tables for querying cloud data directly.

B:False. No DELETE_FILE procedure exists; credential management uses DROP_CREDENTIAL.

C:True. CREATE_CREDENTIAL securely stores cloud storage credentials.

D:True. VALIDATE_EXTERNAL_TABLE checks file integrity and logs errors.

E:False. PUT_OBJECT uploads files to cloud storage, not into the database.

Full Detailed In-Depth Explanation:

Autonomous Transaction Processing (ATP) offers predefined service levels with varying concurrency and parallelism capabilities:

MEDIUM:Supports up to 50 concurrent statements per OCPU, with no parallelism by default. Unsuitable for the requirement.

TPURGENT:Supports up to 200 concurrent statements per OCPU and enables manual parallelism. This meets both requirements (concurrency ≥ 200 and parallelism), making it the correct choice.

LOW:Supports only 25 concurrent statements per OCPU, with no parallelism. Insufficient for the requirement.

TP:Supports 125 concurrent statements per OCPU, with no parallelism by default. Falls short of the 200 concurrency threshold.

TPURGENT is designed for high-concurrency, time-sensitive workloads, providing the necessary resources and flexibility for parallel query execution, aligning perfectly with the specified needs.

Connecting a .NET application to Autonomous Database (ADB) requires a specific client library compatible with Oracle’s database connectivity standards. The correct software is:

Oracle Data Access Components for Windows (D):Oracle Data Access Components (ODAC) for Windows is the recommended software for .NET applications to connect to ADB. ODAC includes the Oracle Data Provider for .NET (ODP.NET), which supports ADO.NET interfaces for database access. It enables .NET developers to use familiar APIs (e.g., OracleConnection, OracleCommand) to interact with ADB over Oracle Net Services, leveraging the secure TLS connection required by ADB (via the client wallet). For example, a .NET app might use ODAC to execute SELECT * FROM customers against an ADB instance, authenticating with a wallet downloaded from the OCI console. ODAC supports both managed and unmanaged modes: the managed ODP.NET is lightweight and assembly-based, while the unmanaged version integrates with Oracle Client libraries. To set it up, developers install ODAC (e.g., via NuGet or Oracle’s download site), configure the wallet (e.g., tnsnames.ora), and write code like:

csharp

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using Oracle.ManagedDataAccess.Client;

string connString = "User Id=USER1;Password=pwd;Data Source=adb_high";

using (OracleConnection conn = new OracleConnection(connString)) {

conn.Open();

// Query execution here

}

This ensures seamless integration with ADB’s managed environment, supporting features like connection pooling and high performance.

The incorrect options are:

SQL*Plus (A):SQL*Plus is a command-line tool for SQL execution and administration, not a programmatic library for .NET applications. It’s unsuitable for embedding in a .NET app, as it lacks API integration and is meant for manual use (e.g., running scripts like SELECT * FROM table;).

You cannot use .NET with ADB (B):This is false. .NET is fully supported via ODAC, allowing applications (e.g., ASP.NET web apps or Windows services) to connect to ADB just like any Oracle database, provided the wallet and credentials are configured.

Java (C):Java uses JDBC (e.g., Oracle JDBC Driver) for database connectivity, not .NET. While JDBC works with ADB for Java apps, it’s irrelevant for a .NET environment, where ODAC is the standard.

ODAC’s robust support for .NET makes it the definitive choice, bridging Microsoft’s ecosystem with Oracle’s cloud database.

Monitoring Autonomous Database on Dedicated Infrastructure involves specific tools:

Correct Answer (C):Enterprise Manager Cloud Controlprovides comprehensive monitoring of OCI resources, including CPU, memory, I/O, and SQL performance for dedicated deployments.

Correct Answer (D):OCI Metricsoffers detailed metrics via the OCI Monitoring service, allowing custom dashboards and alerts for key performance indicators (e.g., OCPU usage, storage).

Correct Answer (E):Performance Hubis a built-in tool in Autonomous Database for analyzing historical performance data, identifying trends, and troubleshooting issues.

Incorrect Options:

A: RMAN (Recovery Manager) is for backup and recovery, not real-time monitoring of usage or activities.