Get Oracle 1Z0-902 Exam Dumps

Answer : B, E

Exadata System Software metrics and alerts work as follows:

Persistence of Thresholds: When metric thresholds are configured, they remain active and persist across server reboots. This ensures consistent monitoring behavior even after maintenance or unexpected reboots .

Default Metrics: By default, metrics are collected without predefined thresholds. Administrators must set custom thresholds to enable specific alerting based on their operational requirements.

Answer : D, E, F

Oracle Enterprise Manager (EM) Cloud Control provides comprehensive monitoring and management for Exadata Database Machines, including:

Support for Database Machine Storage Expansion Racks: EM Cloud Control seamlessly integrates with the Storage Expansion Rack, allowing administrators to monitor both primary and expansion storage environments together, which is essential for large-scale deployments.

Minimal Agent Installation: Cloud Control needs only one Oracle Management Agent on one compute node to monitor the entire Database Machine cluster, covering all compute and storage nodes. This is due to Exadata's interconnect and resource-sharing capabilities, enabling centralized monitoring with minimal setup requirements.

Answer : B

Oracle Exadata X9M-2 supports virtualization through Kernel-based Virtual Machine (KVM), enabling multiple virtual machines (VMs) to run on each database server. Specifically:

Each X9M-2 database server can support up to 12 virtual guests. This number provides ample flexibility for running various applications or Oracle Real Application Clusters (RAC) instances across virtualized environments .

While Exadata X9M-8 supports even more extensive virtualization, this question focuses on the X9M-2 model. The specified limitation of 12 guests per database server considers both system resource allocation and performance optimization .

Answer : B

On Exadata systems, ASM disk group configurations require that:

Grid Disks Must Have Similar Performance Characteristics: Within a disk group, grid disks must not only be of the same size but also need to exhibit similar performance traits. This consistency ensures balanced I/O operations and optimizes the performance for ASM mirroring and striping across disks.

Sparse Diskgroups: These are specialized virtual objects that reside within the DATA disk group. Sparse diskgroups are used to support snapshots and other space-efficient storage solutions by creating virtual representations of grid disks within an existing disk group without consuming additional physical space.

These characteristics are fundamental to ensuring that ASM maintains optimal performance and storage efficiency on Exadata platforms.

Answer : B, E

To monitor the effectiveness of Persistent Memory (PMEM) cache usage with RDMA on Exadata, information on RDMA I/O statistics can be found in:

PMEM Cache User Reads section in the AWR Report: This section provides detailed statistics on PMEM read operations, including user reads that leverage RDMA for direct memory access from PMEM. These metrics help gauge the utilization and efficiency of the PMEM cache.

Exadata Metrics (LIST METRICCURRENT): By using the LIST METRICCURRENT command within the Exadata environment, real-time metrics related to PMEM usage and RDMA I/O statistics can be accessed. This provides an immediate view of the current performance and activity on Exadata's persistent memory components.

These tools together offer insights into PMEM cache usage and the effectiveness of RDMA for optimized data access.