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| Section | Weight | Objectives |
|---|---|---|
| Configuration and Management | 25% | - Bucket and object management
|
| Data Protection and Availability | 20% | - Backup and restore
|
| Monitoring, Troubleshooting and Maintenance | 20% | - Monitoring and alerting
|
| Installation and Deployment | 15% | - Deployment procedures
|
| StorageGRID Architecture and Components | 20% | - System architecture overview
|
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NEW QUESTION # 49
A new application has been installed in your company that requires objects to be converted to another format immediately after they are placed in a specific bucket.
Which two endpoints notify the application? (Choose two.)
Answer: A,C
Explanation:
StorageGRID provides S3 bucket event notifications as a platform service that can inform external applications when specified object-level events occur. NetApp documentation confirms that event-notification destinations can be an Amazon SNS topic, Kafka topic, or webhook endpoint. Therefore, both the webhook endpoint in option B and the Apache Kafka endpoint in option C can notify the application when an s3:
ObjectCreated event occurs.
A webhook endpoint receives notification messages through HTTP POST requests and is appropriate when the application exposes an HTTP/HTTPS listener. A Kafka endpoint publishes the event to a configured Kafka topic, allowing an application or processing service to consume the event and immediately initiate object conversion. StorageGRID explicitly identifies sns, kafka, and webhook as supported notification endpoint types.
Option A is incorrect because a StorageGRID load balancer endpoint provides S3 client connectivity rather than bucket-event notification. Option D is also incorrect because CloudMirror replication copies objects to another S3 bucket; it is a replication service, not an application-notification mechanism.
Reference topics: Tenant Manager # Platform Services # Event Notifications # Kafka/Webhook Endpoints; S3 Bucket Notification Configuration
NEW QUESTION # 50
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: D
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 # 51
During performance troubleshooting, you notice that the disk device sdc on Storage Node 3 is handling significantly more I/O operations than the other disks.
What is the reason for this behavior?
Answer: B
Explanation:
The increased I/O on sdc is expected when that device corresponds to storage volume 0 (/var/local/rangedb/0), because StorageGRID uses volume 0 for the Cassandra database that stores object metadata. NetApp documents that StorageGRID maintains object metadata independently from object data in Cassandra and reserves space specifically on volume 0 of every Storage Node for metadata storage and essential database operations.
Cassandra performs continuous metadata-related activity, including database reads and writes, compaction, indexing, consistency operations, and repair. Consequently, the disk containing volume 0 can exhibit noticeably higher I/O than the remaining object-storage volumes even when object data itself is reasonably balanced. NetApp diagnostic examples also show sdc associated with /var/local/rangedb/0, illustrating the relationship between this device and the StorageGRID metadata volume.
Option A does not explain persistent device-specific activity because object ingest is handled through StorageGRID services and ILM placement. Option B would indicate an object-placement issue rather than systematically higher I/O on volume 0. Option D is also incorrect because higher utilization is not necessarily caused by a larger number of stored object payloads.
Reference topics: Storage Nodes # Storage Volumes # Volume 0 # Cassandra Object Metadata # Disk I/O and Performance Monitoring
NEW QUESTION # 52
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: C
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 # 53
When managing a StorageGRID system, you observe that an object has been successfully ingested, but its storage location does not match expectations based on the active information lifecycle management (ILM) policy. You need to confirm which ILM rule was applied to the object during ingest.
Which method helps you infer the ILM rule that was applied to the object?
Answer: B
Explanation:
The ORLM (Object Rules Met) audit message is the appropriate source for determining which ILM rule StorageGRID applied to an object. NetApp documents that ORLM is generated when object data has been successfully stored according to an ILM rule. Critically, the ORLM record contains a RULE field, which identifies the human-readable label of the ILM rule applied to that object. It also includes the object's CBID, ILM status, result, and storage-location information.
A metadata lookup in option A is valuable for verifying the current physical placement of replicated copies or erasure-coded fragments, but it does not directly identify the ILM rule responsible for that placement. NetApp specifically recommends ORLM when additional information about the ILM evaluation is required.
Option C simulates how an active ILM policy would evaluate representative metadata; it does not prove which rule was actually applied to an already-ingested object. Option D is also insufficient because an SPUT audit record confirms completion of an S3 PUT transaction and supplies identifiers such as the CBID, bucket, and key, but does not contain the applied ILM rule name.
Reference topics: Audit Logs # ILM Audit Messages # ORLM/Object Rules Met # RULE Field # Object Metadata Lookup # ILM Troubleshooting
NEW QUESTION # 54
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