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| Section | Objectives |
|---|---|
| Topic 1: Configuration and Management | - Identity federation and access control - Tenant and bucket management - Information Lifecycle Management (ILM) policies |
| Topic 2: Monitoring and Troubleshooting | - Performance troubleshooting - Log analysis and diagnostics - System health monitoring |
| Topic 3: Security and Compliance | - Audit logging and compliance features - Encryption and key management |
| Topic 4: StorageGRID Architecture and Concepts | - Nodes and components - Grid architecture overview - Data flow and object storage concepts |
| Topic 5: Installation and Deployment | - System requirements - Initial grid configuration |
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質問 # 56
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?
正解：C
解説：
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
質問 # 57
Your customer wants to add a tenant for a new backup workload to an existing grid. The backup software automatically sets a seven-year retention period on the objects, during which time the object must be immutable. After the retention period, the backup software must be able to clean up the objects as required.
Which two steps will ensure this behavior on the new tenant? (Choose two.)
正解：A、C
解説：
The backup workload requires time-based immutability, so the tenant must be permitted to use S3 Object Lock. StorageGRID S3 Object Lock protects individual object versions from deletion or overwrite until their configured retain-until date. When an Object Lock-enabled bucket is created, StorageGRID automatically enables bucket versioning. A backup application can then assign its seven-year retention period to each object as it is written.
For the new tenant, the grid administrator should also configure the maximum retention period as seven years.
StorageGRID allows administrators to define a tenant-level maximum retention period, and any bucket default retention or object-level retain-until date must remain within that limit. The current StorageGRID tenant-creation workflow specifically provides S3 Object Lock advanced permissions for configuring this maximum retention period.
After an object's retain-until date expires, S3 Object Lock no longer prevents its deletion, allowing the backup software to perform normal expiration or cleanup operations. Platform Services are unrelated; they provide functions such as CloudMirror and event notifications. A 7-TB quota controls capacity, not retention duration or immutability.
Reference topics: Tenant Accounts # S3 Object Lock # Maximum Retention Period # Object-Level Retention # Immutable Backup Data
質問 # 58
You have implemented an Apache Kafka notification in Platform Services. You want to be notified in the event that Platform Services fails to send the data.
Using the storagegrid_platform_services_failed_kafka_notifications metric, which action enables you to receive notifications?
正解：D
解説：
The correct action is to create a custom alert rule that evaluates the
storagegrid_platform_services_failed_kafka_notifications Prometheus metric. StorageGRID collects operational metrics through Prometheus, and NetApp explicitly supports using those metrics as expressions in custom alert rules. When the configured expression crosses the defined threshold, StorageGRID generates an alert at the selected severity level.
For example, the administrator can create a rule under Alerts > Rules > Create custom rule and define an expression based on an increase or nonzero value for the failed Kafka notification metric. The alert can be configured with an appropriate duration and severity. Once triggered, StorageGRID can display the alert in Grid Manager and, when notification services are configured, send email or SNMP notifications to administrators.
Option B is incorrect because Grafana provides visualization of time-series metrics but does not itself establish StorageGRID alert notification logic. Option D allows an administrator to inspect or test the Prometheus metric, but merely querying it does not generate administrative notifications. Option A concerns HTTP/audit information and has no role in metric-based failure alerting.
Therefore, C is the required method for converting the Kafka failure metric into an actionable StorageGRID notification.
Reference topics: Grid Manager # Alerts # Custom Alert Rules # Prometheus Metrics # Platform Services # Kafka Notification Monitoring
質問 # 59
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?
正解：A
解説：
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
質問 # 60
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.)
正解：A、C
解説：
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
質問 # 61
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