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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: StorageGRID Architecture and Components | 20% | - Software and hardware components
|
| Topic 2: Monitoring, Troubleshooting and Maintenance | 20% | - Monitoring and alerting
|
| Topic 3: Configuration and Management | 25% | - Bucket and object management
|
| Topic 4: Data Protection and Availability | 20% | - Replication and erasure coding
|
| Topic 5: Installation and Deployment | 15% | - Deployment procedures
|
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NEW QUESTION # 11
After upgrading to StorageGRID 12.0, your organization wants to retain audit logs for long-term compliance.
How can you back up audit logs automatically?
Answer: D
Explanation:
StorageGRID 12.0 introduces an integrated mechanism for long-term log archival to an S3 system bucket.
NetApp specifically identifies this as a StorageGRID 12.0 manageability enhancement: the former Audit and syslog server page was renamed Log management, with functionality added for storing logs in a system bucket for backup purposes.
From Grid Manager, the administrator uses Log management # Log location # Use a bucket and enables archive logs. A tenant and S3 bucket can then be created or selected. StorageGRID automatically stores rotated log files in that bucket, using object keys beginning with system-logs/. This eliminates the need for node-level scripts or periodic manual copying.
Option A is incorrect because StorageGRID already performs native log rotation; custom rotation scripts do not provide the StorageGRID 12.0 archival mechanism. Option B refers to legacy audit-export behavior rather than the new long-term backup capability. Option C is technically possible as a manual administrative operation but does not satisfy the requirement for automatic backup.
For compliance retention, administrators can additionally control archived-log lifetime through an ILM rule or S3 bucket lifecycle policy.
Reference topics: Grid Manager # Log Management # Log Location # System/S3 Bucket # Archive Logs # Log Retention
NEW QUESTION # 12
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 # 13
Your customer wants to set up a data pipeline to take advantage of some AWS services on their newly ingested data. The data lives in buckets in the customer's on-premises StorageGRID system.
Which solution replicates the objects to the Amazon S3 buckets for usage?
Answer: D
Explanation:
The correct solution is the CloudMirror service. CloudMirror is a StorageGRID Platform Service that automatically replicates selected objects from a StorageGRID S3 bucket to an external S3-compatible destination, including Amazon S3. NetApp specifically identifies the use case of mirroring newly ingested customer data into Amazon S3 so that AWS services can perform analytics or other processing on that data.
CloudMirror operates independently of the grid's active ILM policies. After object ingest succeeds, StorageGRID attempts to deliver the replicated object to the configured destination as soon as possible. The tenant configures a Platform Services endpoint containing the destination Amazon S3 bucket information and credentials, then applies a CloudMirror replication configuration to the source bucket.
Option B is incorrect because cross-grid replication is designed for replication between StorageGRID systems connected through grid federation, rather than for using Amazon S3 as an external analytics destination.
NetApp XCP and Robocopy are file migration/copy utilities and are not StorageGRID's native event-driven S3 replication mechanism.
Therefore, D. CloudMirror service directly satisfies the requirement to replicate newly ingested StorageGRID objects into Amazon S3 for downstream AWS processing.
Reference topics: Tenant Manager # Platform Services # CloudMirror Replication # Amazon S3 Endpoint # Hybrid Cloud Data Pipelines
NEW QUESTION # 14
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: C
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 # 15
Which statement about controlling access with group policies is true?
Answer: C
Explanation:
In StorageGRID, group policies are attached to a specific tenant group and define which S3 resources members of that group are permitted or denied access to. NetApp explicitly states that a group policy applies to only one group and can apply to multiple buckets. This makes B the correct answer.
Group policies are configured through Tenant Manager or the Tenant Management API and use AWS- compatible JSON policy syntax. A single group policy can therefore contain multiple Resource entries referencing different buckets and objects. In contrast, a bucket policy is attached to one specific bucket and can grant or deny access to multiple users or groups.
Options A and C are incorrect because StorageGRID does not assign precedence among group, bucket, and session policies. NetApp states that there is no difference in priority among these policy types. Authorization is determined by evaluating the applicable policy statements, with an explicit Deny overriding an Allow; it is not based on one policy class automatically taking precedence over another.
Option D reverses the relationship: it describes the scope of a bucket policy rather than a group policy.
Reference topics: Tenant Manager # S3 Access Management # Group Policies # Bucket Policies # Session Policies # AWS Policy Language
NEW QUESTION # 16
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