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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Protection and Availability | 20% | - Backup and restore
|
| Topic 2: StorageGRID Architecture and Components | 20% | - System architecture overview
|
| Topic 3: Installation and Deployment | 15% | - Deployment procedures
|
| Topic 4: Configuration and Management | 25% | - Bucket and object management
|
| Topic 5: Monitoring, Troubleshooting and Maintenance | 20% | - Troubleshooting common issues
|
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NEW QUESTION # 61
A StorageGRID system is composed of Linux-based nodes running on hosts in your data center. You want to decommission Host-A containing Storage Node Linux-Node-1, and you must migrate Linux-Node-1 to a new host, Host-B.
What is the correct sequence of steps to migrate Linux-Node-1 from Host-A to Host-B?
Answer: D
Explanation:
NetApp defines a specific workflow for migrating a Linux-based StorageGRID node between hosts. The source node must first be shut down cleanly using storagegrid node stop. After the node has stopped, the administrator runs storagegrid node export on the source host. The export output identifies the /var/local storage volume and provides the corresponding import command to use on the target host.
On Host-B, the administrator runs storagegrid node import against the exported node storage. NetApp then requires the imported configuration to be checked with storagegrid node validate. After successful validation, the migrated node is started with storagegrid node start, and Grid Manager is used to confirm that the node returns to a green operational state with no alerts.
Therefore, C represents the required migration sequence. Although the option summarizes the final validation
/start phase, its stop # export # import # verify ordering matches NetApp's prescribed procedure.
Option A is incorrect because Grid Manager does not automatically migrate Linux containers. Option B reverses the export/import sequence. Option D incorrectly treats migration as a new StorageGRID installation and node reconfiguration.
Reference topics: StorageGRID Maintenance # Linux Host Migration # Node Stop # Node Export # Node Import # Validate # Start # Grid Manager Verification
NEW QUESTION # 62
Consider a three-site StorageGRID deployment with three Storage Nodes per site. The consistency level for a bucket is set to strong-global.
Which two statements explain the read and write behavior on this bucket? (Choose two.)
Answer: A,C
Explanation:
Under the legacy strong-global consistency behavior represented by these answer choices, writes use a quorum of metadata replicas at every site, while reads require a quorum of metadata replicas at the local site.
Consequently, B and D are the intended answers. This architecture provides read-after-write consistency across all sites while allowing a client to perform reads using the metadata replicas available locally rather than waiting for responses from every remote site. NetApp defines strong-global as guaranteeing read-after- write consistency for client requests across all sites.
There is an important StorageGRID 12.0 qualification. New StorageGRID 12.0 installations use Quorum strong-global semantics by default. In a three-site grid containing three metadata replicas per site, the write requirement becomes a grid-wide quorum of five of the nine metadata replicas, with no more than three replicas contributed by one site. This improves site-failure tolerance. Systems upgraded from StorageGRID
11.9 or earlier retain the legacy strong-global behavior unless explicitly changed.
Therefore, B and D are the certification-key answer for the semantics assumed by this question, but B should not be generalized to a newly installed StorageGRID 12.0 grid using Quorum strong-global.
Reference topics: S3 Consistency # Strong-global # Metadata Replicas # Local Read Quorum # Legacy vs Quorum Strong-global
NEW QUESTION # 63
A company is scaling its StorageGRID environment to support a massive increase in object count, aiming for trillions of objects over the next few years. They need an appliance model that can handle this significant increase in scale and performance demands.
Which NetApp StorageGRID appliance model takes advantage of the increased scaling limits?
Answer: D
Explanation:
The SG6160 is the best match for environments designed for very large-scale StorageGRID deployments.
StorageGRID 12.0 substantially increases overall platform scalability, supporting up to one trillion objects, more than twice the previous platform limit. This increase is enabled in part by a newer Cassandra version that stores object metadata more efficiently, allowing considerably larger object populations to be maintained.
The SG6160 is NetApp's higher-scale disk-based StorageGRID appliance. Its SG6100-CN compute controller provides 48 CPU cores and 256 GB of RAM, providing substantially more compute and memory resources for StorageGRID services than capacity-oriented SG5800 models. It also supports a 60-drive base shelf plus as many as two 60-drive expansion shelves, for a maximum of 180 drives per appliance. NetApp specifically positions the SG6160 and its expansion configuration for large-scale deployments, transactional small-object workloads, and data lakes.
The SG5812 and SG5860 are positioned primarily as cost-optimized secondary-storage platforms. The SG1100 is a services appliance used for Admin Node and Gateway Node functions and does not provide object-storage capacity.
Therefore, D. SG6160 is the appropriate selection for this scale-oriented requirement.
Reference topics: StorageGRID 12.0 Scalability # One-Trillion-Object Limit # Cassandra Metadata Scaling
# SG6100 Series # SG6160 Large-Scale Deployments
NEW QUESTION # 64
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: A
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 # 65
Your customer is running a multisite grid and is ingesting log data from a variety of sources. The logs are processed by a Security Information and Event Management (SIEM) solution and stored in the grid for reading purposes only. A log file must be readable from all available nodes in the grid. Ingest into the grid must be possible even when a site is down. Due to the size and importance, the log files are stored in an EC7+5 format across three sites.
Which bucket consistency level and ingest policy must be selected?
Answer: C
Explanation:
The correct combination is read-after-new-write consistency with Balanced ingest. The workload contains log objects that are written once and subsequently read, so read-after-new-write provides the required behavior:
StorageGRID guarantees read-after-write consistency for new objects, while maintaining high availability.
NetApp recommends this consistency setting for most workloads. Because these SIEM log objects are not expected to be updated after creation, the eventual-consistency behavior for updates is not material to this use case.
The ingest requirement is decisive. The EC7+5 placement spans three sites, but clients must remain able to ingest when one site is unavailable. With Strict ingest, StorageGRID must satisfy the ILM placement instructions synchronously before acknowledging the write. If the required EC placement cannot be created because a site is down, the request fails. In contrast, Balanced attempts the specified ILM placement immediately but, when an outage prevents that placement, StorageGRID falls back to dual-commit protection and acknowledges the object. ILM subsequently creates the required EC7+5 placement when resources become available again.
all is inappropriate because it requires every metadata node to receive metadata immediately, reducing availability during failures. Therefore, D satisfies both immediate visibility of newly written logs and continued ingest during a site outage.
Reference topics: S3 Bucket Consistency # Read-after-new-write # ILM Ingest Behavior # Balanced vs Strict
# Erasure Coding # Multisite Availability
NEW QUESTION # 66
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