Oracle 1Z0-1093-25 Exam Dumps

B . Testing patches in a non-production environment:

Critical to ensure that the patch does not introduce performance issues or compatibility problems.

Best Practice: Apply the patch to a staging environment that mirrors production, validate stability, and then proceed to production.

Minimizes the risk of unplanned downtime or disruptions.

Why the other options are incorrect:

A . Immediate application in production: Risky as untested patches might cause outages.

C . Automatic patching by OCI: OCI does not automatically apply database patches; the customer must manage this.

D . Patching the standby and failing over: While a good strategy when applicable, it still requires prior testing.

Oracle Database Patching Documentation: Patch Management Best Practices

D . The database version:

The database version is not configurable through the Database Management Service.

The version is determined during the database instance provisioning and is independent of the management service.

The management service can monitor and manage databases of various versions, but it does not control or alter the version itself.

Why the other options are configurable:

A . Frequency of metric collection: Can be adjusted to balance performance and data granularity.

B . Specific metrics collected: Can be customized based on monitoring requirements.

C . Storage space for metrics: Some configurations allow defining the retention and storage capacity for collected data.

Oracle Cloud Infrastructure Documentation: Database Management Configuration

Understanding Throughput in NoSQL:

Throughput in NoSQL databases is influenced by factors like query complexity, workload type (read/write), and record size.

Higher query complexity (A): Complex queries involving aggregation or joins consume more read capacity.

Write-heavy workload (B): Writes inherently require more capacity units due to data modification and consistency checks.

Larger record sizes (D): More data per operation increases the read/write capacity needed.

Why C is incorrect:

C: Table scans involve reading large volumes of data, which increases throughput requirements rather than reducing them. Frequent table scans can overwhelm the system, especially with large datasets.

Oracle NoSQL Database Throughput Guidelines

Performance Hub Real-Time SQL Monitoring:

The Performance Hub in Oracle Database Management provides detailed real-time monitoring of SQL queries, including:

Physical Reads (A): Measures the number of physical I/O operations performed by a SQL statement.

Average Active Sessions (B): Reflects the number of sessions actively performing database operations, giving insights into workload and bottlenecks.

These metrics help database administrators analyze query performance and detect issues in real-time.

Why the other options are incorrect:

C: Number of CPUs is a hardware metric, not part of SQL monitoring.

D: Database version is static information, not a performance metric.

Oracle Database Management Performance Hub

Exception Handling in SDKs:

When developing applications using the Oracle NoSQL Database Cloud Service SDK, it is essential to implement error handling logic. This typically includes managing cases like:

Record Not Found: Handling situations where a queried record does not exist.

Insufficient Capacity: Managing requests when throughput limits are exceeded.

Network Failures: Retrying operations or providing fallback mechanisms.

The goal is to build robust and resilient applications that gracefully handle unexpected conditions.

Why the other options are incorrect:

A: Cloud infrastructure handles hardware recovery, not the SDK.

B: While retrying may ensure consistency, it is the developer's responsibility to implement it.

C: Performance metrics are gathered via monitoring tools, not exception handling.

Oracle NoSQL SDK Documentation