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| Section | Weight | Objectives |
|---|---|---|
| Configuration and Management | 25% | - Bucket and object management
|
| Monitoring, Troubleshooting and Maintenance | 20% | - Troubleshooting common issues
|
| Installation and Deployment | 15% | - Deployment procedures
|
| Data Protection and Availability | 20% | - Backup and restore
|
| StorageGRID Architecture and Components | 20% | - Software and hardware components
|
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NEW QUESTION # 23
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: D
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 # 24
A majority of your data is required to be stored locally for 6 months, then remain available for 7 years.
However, a bucket named "bank-records" has a compliance requirement where you must keep immutable copies of the object indefinitely. Your company policy is to use cloud for long-term storage, when possible.
Which placement policy is used to satisfy the requirement for the "bank-records" bucket?
Answer: B
Explanation:
The bank-records bucket requires indefinite immutable retention, so its ILM rule must comply with StorageGRID S3 Object Lock requirements. NetApp specifies that a compliant ILM rule must create at least two replicated copies or one erasure-coded copy, those copies must reside on Storage Nodes, at least one placement must begin at day 0 using Ingest time, and at least one placement must continue forever. Critically, copies governed by a compliant S3 Object Lock rule cannot be stored in a Cloud Storage Pool.
This requirement directly eliminates A, B, and C because every one of those choices introduces a Cloud Storage Pool. The organization's general preference to use cloud storage for long-term data does not override StorageGRID compliance restrictions for Object Lock-protected content.
NetApp's own bank-records example uses precisely this design: the bucket-specific compliant rule retains an erasure-coded copy on Storage Nodes from day 0 to forever.
Therefore, D is correct. Other noncompliant buckets can still use separate ILM rules that transition data to Cloud Storage Pools after six months, but immutable bank-records objects must remain on compliant StorageGRID Storage Node placements indefinitely.
Reference topics: ILM # S3 Object Lock # Compliant ILM Rules # Storage Nodes # Forever Retention # Cloud Storage Pool Restrictions
NEW QUESTION # 25
A customer requires highly available data connections for S3 clients.
Which two types of nodes can be grouped together to provide high availability?
Answer: D
Explanation:
StorageGRID High Availability (HA) groups provide resilient S3 client connectivity by grouping network interfaces from multiple Admin Nodes and Gateway Nodes. NetApp states that HA groups containing Gateway Nodes, Admin Nodes, or a combination of both can provide highly available data connections for S3 clients.
An HA group uses one or more virtual IP (VIP) addresses. One interface is designated as the primary active interface, while the remaining interfaces act as backups according to their configured priority. S3 applications connect to the VIP rather than directly to an individual node. If the active interface or its node becomes unavailable, StorageGRID transfers the VIP to another eligible interface in the HA group, allowing client workloads to continue with minimal interruption. Both Admin Nodes and Gateway Nodes run the Load Balancer service, which distributes S3 requests to Storage Nodes.
Options A and B are incorrect because Storage Node interfaces cannot be members of StorageGRID HA groups. Option C is also invalid; Archive Nodes are not supported HA-group members and are unrelated to client load-balancer HA.
Therefore, the supported node combination for highly available S3 client connections is Admin Nodes and Gateway Nodes.
Reference topics: Grid Manager # High Availability Groups # Admin Nodes # Gateway Nodes # Virtual IP Addresses # Load Balancer Service # S3 Client Connectivity
NEW QUESTION # 26
A customer created several S3 load balancer endpoints, one of which should be accessible only to a specific tenant that is used for internal backups.
How can you meet this requirement?
Answer: D
Explanation:
StorageGRID load balancer endpoints can be restricted so that only selected tenant accounts are permitted to use a specific endpoint. During endpoint configuration, the administrator uses the Tenant access setting and selects Allow selected tenants, then chooses the backup tenant account. NetApp states that with this setting, only the selected tenant accounts can use the endpoint to access their buckets. This directly satisfies the requirement to dedicate one S3 load balancer endpoint to the internal-backup tenant.
Option A is incorrect because a global binding mode determines where the endpoint is available across eligible Admin and Gateway Node interfaces; it does not restrict access by tenant identity. Option D similarly limits the endpoint to interfaces associated with particular HA groups, which controls network exposure rather than tenant authorization. Option B is not a valid per-tenant isolation mechanism because HTTPS configuration applies to the endpoint connection itself and cannot be selectively disabled for unrelated tenant accounts.
Therefore, the required control is to configure the load balancer endpoint's tenant-access settings and assign access specifically to the backup tenant.
Reference topics: Grid Manager # Load Balancer Endpoints # Tenant Access # Allow Selected Tenants # S3 Client Access Control # Endpoint Binding
NEW QUESTION # 27
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 # 28
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