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| Section | Objectives |
|---|---|
| Topic 1: Monitoring and Troubleshooting | - Operational monitoring
|
| Topic 2: StorageGRID Architecture and Components | - Core StorageGRID system components
|
| Topic 3: Information Lifecycle Management | - Policy and data placement
|
| Topic 4: Grid Installation and Configuration | - Deployment processes
|
| Topic 5: Storage Management | - Tenant and bucket administration
|
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NEW QUESTION # 56
A customer runs a StorageGRID deployment with six Storage Nodes at a single site. The customer wants to decommission one of the nodes that hosts an Administrative Domain Controller (ADC) service and replace the node with new hardware.
Before proceeding with the decommission, what is done to ensure that grid quorum and metadata operations remain unaffected?
Answer: A
Explanation:
StorageGRID requires an ADC service quorum at each site at all times. The ADC service maintains grid topology information and provides configuration services used throughout the grid. StorageGRID therefore prevents the decommissioning of a Storage Node if removing that node would violate the site's ADC quorum requirements.
StorageGRID 12.0 provides a supported Move ADC procedure specifically for situations where an administrator needs to decommission a Storage Node hosting ADC. The ADC service can be moved to another eligible Storage Node within the same site. The target must not already host ADC and must be either a combined Storage Node or metadata-only Storage Node. NetApp performs the operation through the Grid Management private API, using POST /private/move-adc/start; progress can be monitored with GET /private
/move-adc. The dependent IDNT, ACCT, and RSM services move automatically with ADC.
Option B is invalid because ADC runs on eligible Storage Nodes, not Admin Nodes. Option C is incorrect because StorageGRID 12.0 documents the migration through the Grid Management API rather than a CLI relocation command. Option D is unsupported; administrators do not manually reinstall ADC.
Therefore, A is correct.
Reference topics: StorageGRID Maintenance # Move ADC # ADC Quorum # Storage Node Decommission
# Grid Management API
NEW QUESTION # 57
Your customer has a two-site StorageGRID system, with three Storage Nodes on each site. The customer wants to always read the last written version of an object. They have set up the information lifecycle management (ILM) policy to write a single copy to each site. They have set the ingest policy to Strict and the consistency profile to strong-global. During maintenance on a node on Site-2, an additional node on that site fails, and end users complain about being unable to upload objects to the grid.
What is the cause of these errors?
Answer: B
Explanation:
The failure is caused by the strong-global metadata consistency requirement, not by the Strict ILM placement requirement. StorageGRID stores object metadata in Cassandra, normally maintaining three metadata replicas per site. With three Storage Nodes at Site-2, taking one node down for maintenance and then losing another leaves only one metadata replica available at that site. The required metadata quorum can no longer be achieved for strong-global operations. NetApp documents that strong-global guarantees read-after-write consistency across all sites and requires sufficient metadata replicas to complete the operation.
The distinction from Strict ingest is important. Strict controls object-data placement: all copies specified by the ILM rule must be created before StorageGRID returns success. Here, the ILM rule requires only one copy at each site. Because one Storage Node remains operational at Site-2, StorageGRID can potentially place the Site-2 object copy there. Therefore, the data-placement requirement itself is not necessarily violated.
However, with two of the three metadata-bearing Storage Nodes unavailable at Site-2, Cassandra cannot satisfy the strong-global metadata consistency requirement, causing client PUT operations to fail.
Reference topics: S3 Consistency # Strong-global # Cassandra Metadata Replicas # Metadata Quorum # Strict ILM Ingest Behavior
NEW QUESTION # 58
A primary interface in an HA group has failed, and the virtual IP address (VIP) has moved to a backup interface.
What happens when the primary interface is restored?
Answer: D
Explanation:
StorageGRID HA groups use an explicit interface priority order. The first interface in that order is the Primary interface and normally hosts all virtual IP addresses assigned to the HA group. If the Primary interface becomes unavailable, StorageGRID automatically moves the VIP addresses to the highest-priority backup interface that remains operational.
Importantly, this behavior includes automatic failback. NetApp states that when the failure is resolved and a higher-priority interface becomes available again, the VIP addresses are automatically moved to the highest- priority available interface. Therefore, once the original Primary interface is restored and considered healthy, StorageGRID automatically transfers the VIP back to it. No administrator intervention or Load Balancer service restart is required.
Options A and C are incorrect because restarting the Load Balancer service is not part of the standard HA failback workflow. Option B is also incorrect because StorageGRID does not permanently leave the VIP on a lower-priority backup interface after the preferred interface has recovered. The configured priority order continues to determine which interface should host the HA group's VIPs.
Reference topics: Grid Manager # High Availability Groups # Interface Priority # Primary/Backup Interfaces
# VIP Failover and Automatic Failback
NEW QUESTION # 59
A customer wants to expand their existing StorageGRID system, which currently serves only cold data via FabricPool, to maximize usable object storage in a single-site installation.
Which actions achieve this?
Answer: B
Explanation:
For a capacity-focused FabricPool repository containing predominantly cold object data, the most efficient expansion method is to add a data-only Storage Node. StorageGRID 12.0 supports combined, metadata-only, and data-only Storage Nodes. A data-only node is dedicated to object-data storage and does not participate in Cassandra metadata storage, making it particularly appropriate when the primary objective is to maximize usable object capacity rather than increase metadata capacity. NetApp specifically describes data-only, high- capacity Storage Nodes as appropriate when dedicated capacity is required.
After the node is added, erasure-coded data can be rebalanced so that existing EC fragments are redistributed across the original and newly added Storage Nodes. NetApp states that EC rebalancing redistributes erasure- coded fragments among Storage Nodes at the site, allowing newly added capacity to be utilized by an existing EC protection scheme.
Option D adds usable capacity, but a combined node also provides metadata/Cassandra functionality that is unnecessary when the goal is specifically to maximize object-data capacity for a cold FabricPool workload.
Options B and C are not supported StorageGRID capacity-expansion strategies; appliance RAID/DDP configuration and SANtricity LUN sizing must not be arbitrarily changed to enlarge StorageGRID object storage.
Reference topics: StorageGRID Expansion # Data-only Storage Nodes # Object Capacity # Erasure Coding # EC Rebalancing # FabricPool Capacity Planning
NEW QUESTION # 60
In your extensive StorageGRID deployment, you want to configure a custom alert that notifies you when the CPU utilization of any node exceeds 90% and the node's memory utilization surpasses 80%.
What do you use to define this condition?
Answer: B
Explanation:
StorageGRID custom alert rules define their trigger conditions using Prometheus expressions. NetApp StorageGRID 12.0 documentation states that when creating a custom alert rule, the administrator enters a Prometheus expression for one or more alert severity levels. These expressions evaluate metrics collected from StorageGRID nodes and services and determine when an alert condition becomes true.
For this requirement, the administrator would construct an expression that evaluates both CPU and memory utilization metrics and combines the conditions logically so that the rule triggers only when CPU usage exceeds 90% and memory utilization exceeds 80% for the same applicable node. StorageGRID's Prometheus service collects time-series metrics from services throughout the grid, and those metrics are used by both the Grid Manager monitoring views and the alerting framework.
Option A is incorrect because the Grid Management REST API can expose metrics and can be used to test Prometheus queries, but it is not the syntax used to define the alert condition itself. Option B is an S3 object- query capability and is unrelated to system monitoring. Option C is not the alert-expression language.
Therefore, D. Prometheus expression is the correct answer.
Reference topics: Grid Manager # Alerts # Alert Rules # Create Custom Rule # Prometheus Metrics and Expressions # CPU/Memory Monitoring
NEW QUESTION # 61
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