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| Certification Vendor: | Nutanix |
|---|---|
| Exam Name: | Nutanix Certified Professional - Database Automation (NCP-DB) v6.5 |
| Exam Number: | NCP-DB |
| Available Languages: | English |
| Exam Format: | Multiple choice, Scenario-based questions |
| Related Certifications: | Nutanix Certified Associate (NCA) Nutanix Certified Professional - Multicloud Infrastructure (NCP-MCI) |
| Recommended Training: | Nutanix Database Service (NDB) Training |
| Exam Registration: | Nutanix Certification Portal |
| Sample Questions: | Nutanix NCP-DB Sample Questions |
| Exam Way: | Online proctored exam or authorized test center |
| Pre Condition: | Recommended prior experience with Nutanix infrastructure and basic database administration knowledge. NCP-MCI or equivalent knowledge is recommended. |
| Official Syllabus URL: | https://www.nutanix.com/support-services/training-certification |
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問題 #123
A Development team is asking for updated data for a cloned MongoDB instance that is being used as source data for a script. Which task should be performed by an NDB administrator?
答案：D
解題說明：
A Development team requesting updated data for a cloned MongoDB instance used as source data for a script needs the latest snapshot or point-in-time data. In NDB, the "Clone Refresh" task updates an existing clone with the most recent data from the source database, ensuring the development team has access to current information without recreating the clone. This is the most efficient approach for maintaining an updated clone.
Option A (Clone the DB from the latest point in time data) is incorrect because it creates a new clone, duplicating effort instead of refreshing the existing one.
Option B (Execute a clone update) is incorrect as "clone update" is not a standard NDB task; refresh is the correct term.
Option C (Provision a MongoDB instance) is incorrect because it provisions a new instance, not an update to the clone.
Option D is correct as Clone Refresh syncs the clone with the latest source data.
References
Nutanix Database Service (NDB) User Guide, Chapter 5: Configuring Time Machines, Section: Managing Clones and Refresh Nutanix Certified Professional - Database Automation (NCP-DB) v7.5Blueprint, Section 5: Protect Databases Using Time Machine
問題 #124
An NDB administrator is looking to free up some space consumption in the container that NDB uses to manage a database landscape.
Where are two of the best locations within NDB that the administrator could view to see where the most storage is being consumed, in order to research for reclamation? (Choose two.)
答案：A,C
解題說明：
To free up space in the NDB-managed container, the administrator needs to identify storage consumption sources. Two key locations in NDB provide actionable insights:
C). Clone Database table: This displays all clone databases, including their Size (current storage usage) and Last Refresh (indicating age or staleness). Clones often consume significant space, and older or unused ones can be deleted to reclaim storage.
D). Snapshot table in Time Machine: This shows snapshots with details like Reclaimable Space (space recoverable by deletion) and Age (how long snapshots have existed). Old or unnecessary snapshots are prime candidates for reclamation.
Why not the other options?
A). NDB Dashboard (Clone Data Age): While it provides a high-level view, it lacks granular details (e.g., size per clone) needed for targeted reclamation.
B). Source Database grid: This shows registered databases' size and status but doesn't focus on derivative objects (clones/snapshots) that typically consume more space.
Thus, C and D are the best locations for detailed storage analysis and reclamation research.
Official Nutanix Database Automation References
Nutanix Database Management & Automation (NDMA) course, Module 6: Storage and Resource Management, Lesson 6.2: Monitoring and Reclaiming Storage.
Nutanix Certified Professional - Database Automation (NCP-DB) v7.5Knowledge Objectives, Section 6:
Optimize NDB Solutions, Objective 6.1: Manage Storage Consumption (applicable to v7.5).
Nutanix NDB Administration Guide: "Clone Database Table" and "Time Machine Snapshot Table" sections.
問題 #125
An administrator needs to deploy a database resilient cluster engine across three clusters. Which database engine can be used for this scenario?
答案：D
解題說明：
To deploy a database resilient cluster engine across three Nutanix clusters, the database engine must support high availability (HA) and distributed deployment capabilities that NDB can manage across multiple clusters.
PostgreSQL is the only database engine listed that NDB supports for a resilient cluster deployment across multiple clusters. NDB's HA features for PostgreSQL include automated failover, replication, and data consistency across geographically distributed clusters, making it suitable for a three-cluster scenario. This is achieved through PostgreSQL's built-in streaming replication and NDB's orchestration of HA policies.
Other options are not supported for this use case in NDB:
* A. MariaDB: While MariaDB supports replication, NDB does not currently provide multi-cluster HA or resilient cluster deployment for MariaDB.
* B. MySQL: Similar to MariaDB, MySQL lacks native multi-cluster HA support within NDB's framework.
* D. Oracle: Oracle databases can be managed by NDB, but multi-cluster resilient deployments are not natively supported; Oracle RAC (Real Application Clusters) requires specific configurations beyond NDB's standard capabilities.
Thus, the verified answer is C, as PostgreSQL aligns with NDB's multi-cluster resilience features.
Official Nutanix Database Automation References
* Nutanix Database Management & Automation (NDMA) course, Module 4: High Availability and Disaster Recovery, Lesson 4.2: Configuring Multi-Cluster HA.
* Nutanix Certified Professional - Database Automation (NCP-DB) v6.5 Knowledge Objectives, Section
4: Troubleshoot NDB Solutions, Objective 4.3: Configure HA Across Clusters (applicable to v6.10).
* Nutanix NDB Administration Guide: "Supported Database Engines for HA" section, highlighting PostgreSQL multi-cluster support.
問題 #126
An administrator needs to restore databases provisioned with a shared disk configuration on Windows Storage Spaces What happens when NDB runs the restore operation?
答案：B
解題說明：
When an administrator needs to restore databases provisioned with a shared disk configuration on Windows Storage Spaces in Nutanix Database Service (NDB), the restore operation focuses on the disks associated with the database. Windows Storage Spaces provides a virtualized storage layer, and NDB manages the restoration by reverting or recovering the specific disks that host the database files and logs. This ensures that the database is restored to its previous state using the snapshot or backup data, while preserving the shared disk configuration integrity. NDB does not replace the source volume or perform additional operations like tail log backups unless explicitly configured.
Option A (NDB restores the disk that are associated with the database) is correct as it accurately describes NDB's restore behavior for shared disk setups.
Option B (NDB copies the DB files to be restored to the source volume) is incorrect because NDB restores the entire disk state, not just copying files to the source.
Option C (NDB replaces the source volume with the snapshot volume) is incorrect because NDB restores data to the existing volume, not replacing it entirely.
Option D (NDB performs Tail Log backup to backup any remaining logs) is incorrect because tail log backups are not automatically part of the restore process unless specified for point-in-time recovery.
This approach ensures compatibility with Windows Storage Spaces configurations.
References
Nutanix Database Service (NDB) User Guide, Chapter 5: Configuring Time Machines, Section: Restoring Databases with Shared Disks Nutanix Support & Insights, Knowledge Base Article: "Restoring Windows Storage Spaces in NDB" Nutanix Certified Professional - Database Automation (NCP-DB) v7.5Blueprint, Section 5: Protect Databases Using Time Machine
問題 #127
What happens to the primary member in a MongoDB Server Cluster during the NDB patching process?
答案：C
解題說明：
According to the NDB documentation, the NDB patching process for MongoDB Server Cluster follows these steps1:
* NDB identifies the primary member of the MongoDB Server Cluster and patches it first.
* NDB triggers a failover to elect a new primary member from the remaining secondary members.
* NDB patches the former primary member, which becomes a secondary member after the failover.
* NDB patches the remaining secondary members one by one.
* NDB verifies the patching status and the cluster health.
This process ensures that the MongoDB Server Cluster always has a primary member available to handle write operations, while minimizing the downtime and the impact on the cluster performance.
References: Nutanix Support & Insights, section "Patching a MongoDB Server Cluster"
問題 #128
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