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| Section | Objectives |
|---|---|
| Nutanix Database Automation Concepts | - Nutanix Database Service (NDB) architecture and components - Database lifecycle management overview |
| Monitoring and Troubleshooting | - Troubleshooting common database issues in NDB - Monitoring database health and performance |
| Data Protection and Security | - Backup and restore strategies - Access control and security configuration |
| Database Provisioning and Lifecycle Operations | - Cloning, refreshing, and retiring databases - Provisioning databases using automation workflows |
| Automation and Operations | - Automation policies and templates - Scaling and performance management |
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NEW QUESTION # 240
An administrator receives a report that the NDB environment is approaching its storage-capacity limits. The administrator needs to identify which databases and associated entities consume the most storage.
Where should the administrator look first?
Answer: D
Explanation:
The administrator should begin with the NDB dashboard because its Storage Usage information provides a consolidated view of capacity consumed by registered clusters and NDB-managed entities. The dashboard distinguishes consumption associated with source databases, clones, and Time Machines, making it the fastest location for identifying the largest storage consumers before investigating an individual entity. Database Server Details focuses on a selected server and does not provide the same environment-wide comparison.
Time Machine Properties applies only to a particular protection entity, while Software Profile Management concerns database software images and versions rather than database storage consumption. NDB also records historical storage information, enabling administrators to assess trends and determine whether capacity pressure is increasing. Nutanix's official NDB Dashboard documentation confirms that the Storage Usage view reports consumption for data sources, clones, Time Machines, and registered Nutanix clusters.
NEW QUESTION # 241
A DBA team needs to release PostgreSQL HA instances using a dedicated subnet.
Which action is mandatory before creating the network profile?
Answer: A
Explanation:
To release PostgreSQL HA instances using a dedicated subnet in Nutanix Database Service (NDB), the administrator must create a network profile that defines the subnet and its associated VLAN. Before creating this network profile, it is mandatory to add a VLAN to the NDB Networks configuration. This VLAN ensures that the dedicated subnet is recognized and manageable within NDB, allowing the HA instances to be provisioned with isolated network connectivity. The VLAN must be configured in the NDB Networks page to be available for selection during network profile creation.
* Option A (The subnet in Prism Element must be IPAM configured) is incorrect because IP Address Management (IPAM) configuration in Prism Element is optional and not a mandatory prerequisite for creating a network profile in NDB.
* Option B (The DB VMs must be registered first) is incorrect because VM registration is a subsequent step, not a prerequisite for network profile creation.
* Option C (A VLAN must be added to NDB networks) is correct as it is a required step to define the network infrastructure before creating the profile.
* Option D (Configure Network Segmentation) is incorrect because network segmentation is an advanced feature and not mandatory for basic network profile setup.
This ensures the dedicated subnet is properly integrated into NDB for HA provisioning.
References
* Nutanix Database Service (NDB) User Guide, Chapter 3: Configuring an NDB Environment, Section:
Configuring Network Profiles
* Nutanix Certified Professional - Database Automation (NCP-DB) v6.5 Blueprint, Section 3: Configure an NDB Environment
NEW QUESTION # 242
What happens to the primary member in a MongoDB Server Cluster during the NDB patching process?
Answer: B
Explanation:
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"
NEW QUESTION # 243
An administrator needs to roll back an Oracle patch on a database server VM using NDB. What is required for this action to be successful?
Answer: C
Explanation:
To roll back an Oracle patch on a database server VM using NDB, the patch must have been applied using NDB in the first place. This is because NDB maintains a patch inventory and history for each database server VM and database that it manages. NDB uses this information to determine which patches can be rolled back and how to revert the changes made by the patch. If the patch was applied outside of NDB, NDB would not have the patch information and would not be able to roll back the patch. Therefore, the patch must have been applied using NDB for the rollback action to be successful. The other options are not required for the rollback action. The database does not need to be shut down or in read-only mode, as NDB can perform the rollback operation online. The patch does not need to be applied on Grid home only, as NDB can roll back patches applied on both Grid home and Database home. References:
* Nutanix Certified Professional - Database Automation (NCP-DB) v6.5, Section 4 - Operate and Maintain an NDB Environment, Objective 4.4: Determine the correct method to apply Linux OS patches
* Nutanix Database Management & Automation (NDMA) Course, Module 5: Nutanix Database Service (NDB) Patching, Lesson 5.1: Patching Overview, Topic: Patching Concepts
* [Nutanix Database Service (NDB) User Guide], Chapter 7: Patching, Section: Rolling Back a Patch
NEW QUESTION # 244
An administrator needs to perform patching on a MongoDB server cluster within an NDB environment.
How should the administrator accomplish this task?
Answer: A
Explanation:
The administrator should perform a rolling upgrade, applying the patch to the secondary members first, followed by the primary member, to accomplish the task of patching a MongoDB server cluster within an NDB environment. A rolling upgrade is a method of applying patches or updates to a cluster without downtime or interruption of service. The administrator can use the NDB patching feature to perform a rolling upgrade on a MongoDB server cluster, which consists of a primary member and one or more secondary members that form a replica set. The NDB patching feature allows the administrator to select the software profile version, the database parameters profile, and the network profile for the patching operation. The NDB patching feature also automates the steps of the rolling upgrade, such as:
Step 1: The administrator initiates the patching operation on the NDB instance, and selects the MongoDB server cluster to be patched.
Step 2: The NDB instance verifies the prerequisites and compatibility of the patching operation, and creates a pre-patch snapshot of the MongoDB server cluster.
Step 3: The NDB instance applies the patch to the first secondary member of the MongoDB server cluster, and waits for the patching to complete successfully.
Step 4: The NDB instance verifies the status and functionality of the patched secondary member, and repeats the patching process for the remaining secondary members of the MongoDB server cluster, one at a time.
Step 5: The NDB instance performs a failover of the primary member to one of the patched secondary members, and applies the patch to the original primary member.
Step 6: The NDB instance verifies the status and functionality of the patched primary member, and performs a failback of the primary member to the original primary member, if desired.
Step 7: The NDB instance creates a post-patch snapshot of the MongoDB server cluster, and completes the patching operation.
Performing a rolling upgrade, applying the patch to the secondary members first, followed by the primary member, is the recommended and best practice method of patching a MongoDB server cluster within an NDB environment, as it ensures the high availability, consistency, and performance of the MongoDB server cluster and the databases.
Performing a rolling upgrade, applying the patch to the primary member first, followed by the secondary members, is not a valid or feasible method of patching a MongoDB server cluster within an NDB environment, as it would cause downtime, data loss, and inconsistency of the MongoDB server cluster and the databases. Applying the patch to the primary member first would disrupt the replication and synchronization of the MongoDB server cluster, and would require manual intervention and recovery steps to restore the MongoDB server cluster to a functional state.
Applying the patch to all nodes at once is not a valid or feasible method of patching a MongoDB server cluster within an NDB environment, as it would cause downtime, data loss, and inconsistency of the MongoDB server cluster and the databases. Applying the patch to all nodes at once would require shutting down the entire MongoDB server cluster, and would expose the MongoDB server cluster and the databases to potential errors, failures, and corruption during the patching process.
Disabling the replica set while patching is not a valid or feasible method of patching a MongoDB server cluster within an NDB environment, as it would cause downtime, data loss, and inconsistency of the MongoDB server cluster and the databases. Disabling the replica set while patching would break the replication and synchronization of the MongoDB server cluster, and would require manual intervention and recovery steps to re-enable the replica set and restore the MongoDB server cluster to a functional state.
Nutanix Database Management & Automation Training Course, Module 5: Nutanix Era Operations, Lesson
5.1: Nutanix Era Operations, slides 11-12, 15-16.
Nutanix Database Management & Automation Training Course, Module 5: Nutanix Era Operations, Lesson
5.3: Nutanix Era Patching, slides 5-9.
Nutanix Database Management & Automation Training Course, Module 5: Nutanix Era Operations, Lesson
5.4: Nutanix Era Patching Lab, slides 5-10.
Nutanix Database Management & Automation Training Course, Module 7: Nutanix Era Troubleshooting, Lesson 7.1: Nutanix Era Troubleshooting, slide 6.
NEW QUESTION # 245
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