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

Autonomous Data Guard enhances high availability for Autonomous Database. The two true statements are:

RPO is 0 minutes for an automatic failover (C):Recovery Point Objective (RPO) measures potential data loss. With Autonomous Data Guard, the standby database is synchronously replicated with the primary, ensuring zero data loss (RPO = 0) during an automatic failover, as all transactions are mirrored in real-time.

RTO is 2 minutes for an automatic failover (E):Recovery Time Objective (RTO) measures downtime during failover. For Autonomous Data Guard, Oracle specifies an RTO of approximately 2 minutes for automatic failovers, reflecting the time to detect failure and promote the standby to primary.

The incorrect options are:

RTO and RPO are adjustable through the OCI console (A):RTO and RPO are fixed by the Autonomous Data Guard architecture and cannot be manually adjusted via the OCI console.

RPO is adjustable, but RTO is always 5 minutes (B):RPO is not adjustable (it’s 0 due to synchronous replication), and RTO is not fixed at 5 minutes; it’s typically 2 minutes for automatic failover.

RTO and RPO are 0 minutes for manual failovers (D):Manual failovers (switchovers) have an RTO greater than 0 (typically a few minutes) due to manual initiation, though RPO remains 0 with synchronous replication.

These values ensure minimal disruption and data loss.

Enabling a new business analyst to use SQL Developer Web with Autonomous Database requires specific steps. The correct answer is:

Create a database user (with connect, resource, object privileges), enable the schema to use SQL Developer Web, and provide the user with the user-specific modified URL (C):

Create a database user:As the ADMIN user, create a new database user (e.g., ANALYST1) with CONNECT (to log in), RESOURCE (to create objects), and object-specific privileges (e.g., SELECT on target tables). Example: CREATE USER ANALYST1 IDENTIFIED BY "password"; GRANT CONNECT, RESOURCE TO ANALYST1; GRANT SELECT ON HR.EMPLOYEES TO ANALYST1;. This ensures the analyst can access and query tables.

Enable the schema for SQL Developer Web:Use the ORDS_ADMIN.ENABLE_SCHEMA procedure to activate the schema for web access. Example: EXEC ORDS_ADMIN.ENABLE_SCHEMA(p_schema => 'ANALYST1');. This step integrates the user with Oracle REST Data Services (ORDS), which powers SQL Developer Web in ADB.

Provide the user-specific URL:After enabling the schema, generate and share the SQL Developer Web URL, which includes the user’s credentials (e.g., https:// /ords/analyst1/_sdw). The analyst logs in with their database username and password, accessing a browser-based SQL interface to explore tables.

The incorrect options are:

Create a database user with connect, resource, and object privileges (A):This alone isn’t enough; without enabling the schema for SQL Developer Web, the user can’t access it via the web interface.

Create a database user with the default privileges (B):Default privileges (e.g., just CONNECT) are insufficient for table access or web use; specific grants and ORDS setup are needed.

Create an IDCS user, create a database user with connect, resource, and object privileges (D):Oracle Identity Cloud Service (IDCS) integration is optional and not required for basic SQL Developer Web access in ADB. It’s overkill unless SSO is mandated, which isn’t specified here.

This multi-step process ensures secure, web-based access tailored to the analyst’s needs.

The client credentials wallet for connecting to an Oracle Autonomous Database contains specific files required for secure connectivity. These files are downloaded from the OCI Console when you generate a wallet:

Correct Answer (A): protocol.ora is not a standard component of the client credentials wallet. It is typically used in traditional Oracle Database setups to define protocol parameters (e.g., TCP vs. IPC), but in Autonomous Database, such details are managed by Oracle and embedded within other wallet files like ewallet.p12.

Included Files:

B. ewallet.p12: Contains the encrypted private key and certificates for authentication.

C. sqlnet.ora: Specifies network configuration details (e.g., wallet location, encryption settings).

D. keystore.jks: A Java KeyStore file for Java-based applications to authenticate with the database.

Oracle Autonomous Database on Dedicated Infrastructure enforces automatic maintenance to ensure security, stability, and performance. The correct answer is:

You cannot permanently disable scheduled Automatic Maintenance (C):Oracle mandates periodic maintenance updates (e.g., patching) to keep the database secure and compliant with the latest fixes. Customers can influence the timing of these updates but cannot disable them permanently. This is a design principle of the Autonomous Database service to reduce administrative overhead while maintaining system integrity.

The incorrect options are:

Change the Automatic Maintenance Schedule to 'No Preference' (A):This setting allows Oracle to determine the maintenance window but does not disable maintenance. It still occurs as scheduled by Oracle.

Change the Automatic Maintenance Schedule to 'None' (B):There is no 'None' option in the maintenance scheduling settings for Autonomous Dedicated Infrastructure. This is not a valid configuration.

Change the Automatic Maintenance Schedule to 'Specify a Schedule' but do not select any month, week, or day (D):This is not a functional workaround. Specifying a schedule requires selecting a valid time window, and leaving it blank does not prevent maintenance; it simply reverts to Oracle’s default scheduling.

Oracle’s documentation confirms that while customers can reschedule or skip specific maintenance runs (up to two consecutive quarters), permanently disabling automatic maintenance is not permitted to ensure the system remains up-to-date and secure.

Oracle recommends best practices for effective alarm management:

Correct Answer (A):Suppress alarms during investigationsprevents notification overload while troubleshooting, focusing attention on the issue.

Correct Answer (C):Select the correct alarm interval for your metricensures timely alerts without excessive noise (e.g., 1-minute intervals for critical metrics).

Correct Answer (D):Routinely tune your alarmsadjusts thresholds and settings to match workload changes, maintaining relevance.

Incorrect Option:

Full Detailed In-Depth Explanation:

Maintenance on dedicated infrastructure:

A:True. You can adjust maintenance windows for container databases.

B:False. Exadata Infrastructure maintenance (e.g., OS, grid patching) is separate from container database patching, which occurs independently.

C:True. Oracle reschedules missed maintenance to the next quarter.

D:True. Infrastructure maintenance occurs quarterly.

ADW and ATP are tailored for different workloads:

Correct Answer (C): “Only ADW uses columnar compression by default” is true. ADW employs Hybrid Columnar Compression (HCC) for analytics, optimizing storage and query performance, while ATP uses row-based storage for transactional workloads (though HCC can be enabled manually).

Incorrect Options:

A: Both ADW and ATP manage optimizer statistics automatically.

B: Autoscaling is supported by both ADW and ATP.

Creating an Autonomous Database offers specific deployment options. The two correct ones are:

APEX Service on Dedicated Infrastructure (A):This option provisions an Autonomous Database on dedicated Exadata infrastructure with Oracle Application Express (APEX) pre-installed and optimized. It’s ideal for APEX-based apps (e.g., custom web forms) requiring isolated resources. In the OCI console, you select “Dedicated Infrastructure” and “APEX Service” as the workload type, specifying OCPUs and storage. For example, a company might deploy an APEX app for internal reporting on a dedicated ACD, ensuring performance isolation from other tenants.

Autonomous JSON Database on Shared Infrastructure (C):This creates a schema-less, JSON-centric ADB on shared infrastructure, optimized for document storage (e.g., { "order_id": 123, "items": [...] }). It’s provisioned via the OCI console under “Shared Infrastructure,” selecting “JSON Database” as the workload type. For instance, a mobile app might use it to store user data, leveraging SQL/JSON queries like SELECT JSON_VALUE(doc, '$.order_id'). It’s cost-effective and fully managed, sharing Exadata resources.

The incorrect options are:

APEX Service on Shared Infrastructure (B):There’s no distinct “APEX Service” workload type on shared infrastructure. APEX is available within ATP or ADW on shared infra, but it’s not a standalone option—you’d provision ATP and enable APEX manually, not as a dedicated “APEX Service.”

Autonomous JSON Database on Dedicated Infrastructure (D):JSON Database is onlyoffered on shared infrastructure, not dedicated. Dedicated options include ATP, ADW, and APEX Service, but JSON Database leverages shared resources for simplicity and cost.

These options cater to specific app development (APEX) and NoSQL (JSON) needs.

Scaling OCPUs in Autonomous Database is designed to be seamless. The two true statements are:

Scaling can happen while there are active transactions in the database (B):ADB supports online scaling, meaning you can increase or decrease OCPUs (e.g., from 2 to 4) via the OCI console or CLI (e.g., oci db autonomous-database update --cpu-core-count 4) without stopping the database. Active transactions (e.g., INSERT INTO orders VALUES (...)) continue running during this process. Oracle’s architecture ensures the database remains available, adjusting resources in the background. For example, a web app processing orders won’t notice the scaling operation starting at 10:00 AM.

Active transactions continue running unaffected (C):During scaling, existing transactions are not interrupted, terminated, or paused. They complete normally, with Oracle managing resource allocation transparently (e.g., shifting CPU usage without killing sessions). For instance, a long-running UPDATE statement started before scaling finishes successfully, leveraging the database’s high-availability design. The status shows “SCALING IN PROGRESS,” but users experience no downtime.

The incorrect options are:

Active transactions are terminated and rolled back (A):False. Scaling is non-disruptive; transactions aren’t killed or rolled back, preserving data integrity and user experience. Termination only occurs during explicit stops or failures, not scaling.

Active transactions are paused (D):False. There’s no pausing mechanism during scaling; transactions run continuously, as pausing would disrupt OLTP or analytical workloads, countering ADB’s autonomous promise.

This online scaling capability is a key benefit, ensuring uninterrupted service.

Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP) are optimized for different workloads, reflected in their configurations. The two differing optimizations are:

Memory Usage (A):ADW and ATP allocate memory differently to suit their purposes. ADW prioritizes a larger data cache (part of the SGA) to keep more data in memory, boosting analytical query performance (e.g., aggregations over millions of rows). For example, a SELECT SUM(sales) GROUP BY region runs faster with more cached data. ATP, conversely, balances memory across the SGA and PGA for transactional workloads, emphasizing concurrency and quick row-level operations (e.g., UPDATE orders SET status = 'shipped'). This difference ensures ADW excels at scan-heavy analytics, while ATP handles high-throughput updates.

Data Organization (B):ADW uses a columnar storage format (e.g., Hybrid Columnar Compression) optimized for analytics, storing data by column to speed up aggregations and reduce I/O (e.g., scanning only the sales column for a SUM). ATP uses a row-based format suited for OLTP, enabling fast single-row access and updates (e.g., retrieving or modifying a specific order_id). For instance, inserting a row in ATP is efficient due to row storage, while ADW’s columnar format accelerates SELECT AVG(price) FROM products.

The incorrect options are:

Backup Retention (C):Both ADW and ATP use the same automatic backup system (via Oracle’s Automatic Workload Repository), with a default 60-day retention adjustable by users. There’s no optimization difference here; it’s a shared managed feature.

Undo Management (D):Both databases use Oracle’s Flashback technology for undo (e.g., rolling back transactions or querying past states), with retention periods set similarly. Undo is managed automatically in both, not optimized differently.

These optimizations tailor ADW for analytics and ATP for transactions, despite their shared autonomous foundation.