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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitoring, Troubleshooting and Maintenance | 20% | - Troubleshooting common issues
|
| Topic 2: Configuration and Management | 25% | - Bucket and object management
|
| Topic 3: Data Protection and Availability | 20% | - Replication and erasure coding
|
| Topic 4: Installation and Deployment | 15% | - Deployment procedures
|
| Topic 5: StorageGRID Architecture and Components | 20% | - Software and hardware components
|
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NEW QUESTION # 12
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 # 13
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: A
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 # 14
You have a StorageGRID system that spans multiple sites. You are asked to create an S3 bucket for extremely important objects that require all sites to receive metadata immediately after any new write or change.
When creating this S3 bucket, which consistency level meets the requirement?
Answer: C
Explanation:
The appropriate consistency level is strong-global because the requirement explicitly applies to clients and object metadata across multiple StorageGRID sites. NetApp defines strong-global as providing read-after- write consistency for all client requests across all sites. Therefore, after an object is created or its metadata is changed, subsequent requests from any site receive a consistent view of that change.
strong-site is insufficient because its consistency guarantee applies only to client requests within a single site.
A client accessing the bucket from another StorageGRID site could therefore fall outside the required site- wide consistency guarantee. read-after-new-write, which is the default and generally recommended setting, guarantees consistency for newly created objects but provides eventual consistency for object updates.
Because the scenario requires immediate consistency following both new writes and changes, it does not meet the stated requirement. available provides eventual consistency for both new objects and updates and prioritizes availability rather than cross-site consistency.
Thus, among the available options, strong-global is specifically designed for workloads requiring globally consistent object and metadata visibility across a multisite StorageGRID deployment.
Reference topics: S3 Buckets # Bucket Consistency # Strong-global # Strong-site # Read-after-new-write # Metadata Distribution Across Sites
NEW QUESTION # 15
A certain grid is configured in a network topology where only Admin Nodes and Gateway Nodes have the Client Network configured. Storage Nodes on this grid have only Admin Networks and Grid Networks. A tenant administrator is configuring integration with Apache Kafka for notification services. After setting the correct Uniform Resource Identifier (URI) and Unique Resource Name (URN) entries, the endpoint test validation fails.
What could be a possible cause for this error?
Answer: B
Explanation:
StorageGRID Platform Services traffic, including Apache Kafka event notifications, originates from Storage Nodes that run the Administrative Domain Controller (ADC) service. NetApp explicitly requires these ADC Storage Nodes to have network connectivity to external Platform Services endpoints. For Kafka, StorageGRID normally establishes outbound TCP connectivity from ADC Storage Nodes to the Kafka cluster, using port 9092 by default unless another port is configured.
In this topology, the Storage Nodes do not have Client Network interfaces, so they cannot use a Client Network default route to reach the Kafka endpoint. NetApp's supported alternative is to configure the Storage Nodes with Admin Networks containing appropriate Admin External Subnet List (AESL) entries that provide routes to the external endpoint network. Without the required AESL route on the ADC nodes, StorageGRID cannot validate connectivity to the Kafka endpoint.
Option B incorrectly identifies LDR as the service responsible for sending Platform Services messages.
Option D is irrelevant because Gateway Nodes do not originate these Kafka Platform Services notifications.
Although Platform Services must be enabled for the tenant, the networking details in the scenario specifically identify missing ADC-node endpoint routing as the intended failure.
Reference topics: Platform Services # Kafka Event Notifications # ADC Service # Admin Network # AESL
# External Endpoint Connectivity
NEW QUESTION # 16
A StorageGRID installation is using two sites with multiple SG1100 services appliances for client access.
DNS Round Robin is configured to evenly distribute the traffic to all services appliances.
What increases the throughput for client operations?
Answer: A
Explanation:
Adding another SG1100 services appliance increases aggregate client throughput because each SG1100 can operate as a Gateway Node running the StorageGRID Load Balancer service. With DNS Round Robin, client connections are distributed across the available services appliances, allowing the aggregate load-balancing capacity to scale horizontally. NetApp explicitly identifies increased aggregate throughput and no idle hosts as advantages of the DNS Round Robin load-balancing model.
The SG1100 is specifically designed to provide high-performance Gateway Node and Admin Node services and supports high-speed network connectivity up to 100 GbE. Adding another equivalent SG1100 therefore provides additional processing and network capacity while preserving consistent performance characteristics across the load-balancer pool. NetApp cautions against mixing services appliances with substantially different performance levels when balancing client traffic.
Option B is incorrect because the SGF6112 is a Storage Node appliance, while StorageGRID load-balancer caching is available only on Gateway Nodes. Option C does not provide the same intended horizontal client- throughput expansion. Option D would substitute an SG110, a lower-performance services appliance, and could create inconsistent load-balancing performance.
Therefore, A is the correct answer.
Reference topics: StorageGRID Load Balancing # DNS Round Robin # SG1100 Services Appliances # Gateway Nodes # Aggregate Client Throughput
NEW QUESTION # 17
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