Most Recent Oracle 1Z0-931-25 Exam Dumps

A refreshable clone in Autonomous Database is a read-only copy of a source database that syncs periodically, but it has a refresh time limit (typically 7 days). Once this limit is exceeded, specific actions are available. The two correct options are:

You can disconnect from the source to make the database a read/write database (B): After the refresh time limit passes, the clone can no longer sync with the source. You can ''disconnect'' it (via the OCI console or API, e.g., oci db autonomous-database update --is-refreshable-clone false), converting it into an independent, read/write Autonomous Database. This requires a new license and incurs full costs, but it allows modifications (e.g., INSERT or UPDATE) that were blocked in read-only mode. For example, a test clone might be disconnected to become a production instance after testing.

You can use the instance as a read-only database (C): Even after the refresh limit, the clone remains functional as a read-only database, retaining its last refreshed state. You can query it (e.g., SELECT * FROM sales) for analysis or reporting without further refreshes, though it won't reflect source updates. This is useful if ongoing read-only access suffices without needing write capabilities.

The incorrect options are:

You can manually refresh the clone (A): False. Once the refresh time limit (e.g., 7 days) is exceeded, manual refreshes are not possible. The clone's refresh capability expires, and it can't sync again unless recreated. This is a fixed constraint to manage resource usage in ADB.

You can extend the refresh time limit (D): False. The refresh period (set during clone creation, max 7 days) cannot be extended after provisioning. You'd need to create a new clone with a longer limit if needed, but post-expiry, no extension is allowed.

These options provide flexibility post-expiry, balancing read-only continuity and full database conversion.

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 Guard on Shared Infrastructure enhances ADB availability with standby databases. The two correct actions are:

Switchover (C): A switchover swaps roles between the primary and standby databases in a planned manner, with no data loss (RPO = 0). You initiate this via the OCI console (e.g., ''Switchover'' button on the primary ADB's Data Guard section) or API (e.g., oci db autonomous-database switchover). For example, before maintenance on the primary, you switch to the standby in another region (e.g., from us-ashburn-1 to us-phoenix-1), taking ~2 minutes (RTO 2 min). This ensures continuity without downtime, as the standby becomes primary seamlessly.

Failover (D): A failover promotes the standby to primary during an unplanned outage (e.g., primary region failure), also with RPO = 0 due to synchronous replication. Trigger it via the OCI console (e.g., ''Failover'' on the standby) or API (e.g., oci db autonomous-database failover). For instance, if us-ashburn-1 crashes, the standby in us-phoenix-1 takes over in ~2 minutes, preserving all committed transactions. It's automatic in some cases (e.g., severe failure), but manual initiation is supported too.

The incorrect options are:

View Apply Lag (A): While relevant in traditional Data Guard (measuring replication delay), Autonomous Data Guard on shared ADB uses synchronous replication (zero lag), and apply lag isn't a user-actionable metric exposed in the UI---monitoring focuses on role status, not lag.

Reinstate (B): Reinstatement (restoring a failed primary as a standby) isn't a user action in shared infrastructure. Oracle manages post-failover recovery, and users can't manually reinstate; a new standby might be provisioned instead.

Change Protection Mode (E): Traditional Data Guard offers modes (e.g., Maximum Availability), but in Autonomous Data Guard on shared infrastructure, the mode is fixed (synchronous, akin to Maximum Availability), and users can't modify it---control is limited to switchover/failover.

These actions ensure high availability with user-initiated role changes.

When enabling auto scaling in an Oracle Autonomous Database, the feature dynamically adjusts resources based on workload demand, but certain configuration elements remain unchanged unless manually altered.

Amount of storage (A): Auto scaling focuses on adjusting CPU and I/O resources to meet performance needs. The storage allocation remains constant because it is a separately provisioned resource that requires manual adjustment via the OCI Console or API. This ensures that storage capacity is not inadvertently reduced or expanded without explicit user intent.

Parallelism settings (B): These settings determine how many parallel processes are used for query execution. Auto scaling does not modify this pre-defined configuration; it adjusts resource usage (e.g., CPU cores) without altering the parallelism framework established for the database.

Level of concurrency (E): Concurrency refers to the maximum number of simultaneous user sessions. While auto scaling can indirectly influence concurrency by adjusting available resources, the concurrency limit itself is a fixed setting that remains unchanged unless explicitly modified by the administrator.

Incorrect Options:

I/O resources (C): Auto scaling directly impacts I/O resources by increasing or decreasing them alongside CPU adjustments to handle workload fluctuations.

Number of OCPUs displayed in the console (D): While the base OCPU count remains static, the effective number of OCPUs in use (up to three times the base) changes dynamically with auto scaling, and this is reflected in the console, making this option subject to change.

This behavior ensures that auto scaling optimizes performance without disrupting foundational database configurations.

Setting up notifications for scheduled shutdowns leverages OCI Events:

Correct Answer (A): Creating a rule for the 'Autonomous Database STOP END' event in OCI Events triggers a notification (e.g., email via Notification Service) when the shutdown completes. This is the recommended method for tracking lifecycle events in Autonomous Database.

Incorrect Options:

B: There is no specific ''Shutdown'' metric in OCI Metrics; alarms monitor performance metrics, not lifecycle events like shutdowns.

C: Database triggers like BEFORE SHUTDOWN are not supported in Autonomous Database due to its managed nature, and they wouldn't integrate with OCI notifications.

D: DBMS_SNMP is for network management, not event notifications in Autonomous Database.

This approach ensures reliable, external notification of shutdown events.