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NEW QUESTION # 248
An administrator has deployed an NDB HA setup. An electrical maintenance window needs to be planned and the clusters where NDB is deployed must be powered off.
After shutting down the load balancer server, what should the administrator do next?
Answer: B
Explanation:
In an NDB HA (High Availability) setup, when planning an electrical maintenance window requiring the clusters hosting NDB to be powered off, the administrator must follow a controlled shutdown sequence to preserve data integrity and minimize disruption. After shutting down the load balancer server (HAProxy), the next step is to shut down the API standby node. In an NDB HA configuration, the API leader node handles active operations, while the standby node provides redundancy. Shutting down the standby node first ensures the leader remains operational, allowing ongoing management tasks to continue until the final shutdown of the leader node.
* Option A (In the sudo systemctl stop patroni command) is incorrect because Patroni is used for PostgreSQL HA, not NDB HA node management.
* Option B (Shutdown the API standby node) is correct as it follows the recommended HA shutdown order, preserving active services.
* Option C (Run the high-availability list command) is incorrect because this is a diagnostic command, not a shutdown step.
* Option D (Shutdown the API leader node) is incorrect because the leader should be the last node shut down to maintain service availability.
This sequence ensures a graceful shutdown of the NDB HA environment.
References
* Nutanix Database Service (NDB) User Guide, Chapter 3: Configuring an NDB Environment, Section:
Managing HA Shutdown Procedures
* Nutanix Support & Insights, Knowledge Base Article: "Shutting Down NDB HA During Maintenance"
* Nutanix Certified Professional - Database Automation (NCP-DB) v6.5 Blueprint, Section 3: Configure an NDB Environment
NEW QUESTION # 249
When provisioning an PostgreSQL HA Instance, what are the minimum and maximum number of DB server VMs that can be deployed in a cluster?
Answer: C
Explanation:
When provisioning a PostgreSQL HA Instance using NDB, the minimum and maximum number of DB server VMs that can be deployed in a cluster are 2 and 4, respectively. A PostgreSQL HA Instance is a database instance that provides high availability and fault tolerance for PostgreSQL databases using the Patroni framework. Patroni is a Python-based tool that manages PostgreSQL configuration and performs automatic failover and switchover operations. Patroni relies on a distributed consensus store, such as etcd, Consul, or ZooKeeper, to store and synchronize the cluster state and leader information. NDB supports etcd as the consensus store for PostgreSQL HA Instances. NDB allows the administrator to provision PostgreSQL HA Instances with different sizes and configurations, such as small, medium, large, or custom. The size of thePostgreSQL HA Instance determines the number of DB server VMs, the number of etcd nodes, the CPU, memory, and disk resources, and the replication factor of the database. The minimum number of DB server VMs for a PostgreSQL HA Instance is 2, which corresponds to a small size instance. This configuration provides one leader and one follower DB server VM, and one etcd node. The maximum number of DB server VMs for a PostgreSQL HA Instance is 4, which corresponds to a large size instance. This configuration provides one leader and three follower DB server VMs, and three etcd nodes. The other options are not valid for a PostgreSQL HA Instance, as they either do not provide enough redundancy or exceed the supported limit of DB server VMs. References:
* Nutanix Certified Professional - Database Automation (NCP-DB) v6.5, Section 2 - Deploy and Configure an NDB Solution, Objective 2.2: Configure an NDB Instance
* Nutanix Database Management & Automation (NDMA) Course, Module 3: Nutanix Database Service (NDB) Installation and Configuration, Lesson 3.2: Configuring NDB, Topic: Provisioning PostgreSQL HA Instances
* Nutanix Database Service (NDB) User Guide, Chapter 4: Provisioning Databases, Section: Provisioning PostgreSQL HA Instances
* [PostgreSQL High Availability: Under the Hood - Nutanix.dev], Section: PostgreSQL HA Architecture and Components
NEW QUESTION # 250
An administrator needs to make new VLANs available when provisioning a Oracle cluster database, which have been added to NDB via the Administration menu.
What needs to be done to expose the new VLANs for provisioning?
Answer: A
Explanation:
A Network Profile is a collection of network settings that are used to provision database server VMs in NDB.
A Network Profile can include one or more VLANs, IP ranges, and DNS servers. To make new VLANs available when provisioning an Oracle cluster database, you need to update the Network Profile to include the new VLANs. You can do this by editing the existing Network Profile or creating a new one with the new VLANs. You do not need to create or update the VLANs in Prism Element, as NDB can discover the VLANs configured in AHV1. References:
* Nutanix Database Management & Automation (NDMA) course, Module 2, Lesson 2.4 - Network Profiles
* Nutanix Support & Insights, Nutanix NDB User Guide v2.5, Network Profiles
* Nutanix Certified Professional - Database Automation (NCP-DB), Section 2 - Deploy and Configure an NDB Solution
NEW QUESTION # 251
An administrator would like to replicate database snapshots to remote Nutanix clusters.
What should the administrator do to manage Time Machine data availability across all registered Nutanix clusters in NDB?
Answer: B
Explanation:
To replicate database snapshots to remote Nutanix clusters, the administrator needs to add Data Access to each Nutanix cluster and assign a Data Availability Management (DAM) policy. Data Access is a feature of NDB that enables cross-cluster data mobility and protection. A DAM policy defines the replication frequency, retention period, and priority of the database snapshots across the clusters. By adding Data Access to each Nutanix cluster and assigning a DAM policy, the administrator can manage the Time Machine data availability across all registered Nutanix clusters in NDB.
References: Nutanix Support & Insights, section "NDB Data Access"
NEW QUESTION # 252
An administrator needs to perform patching on a MongoDB server cluster within an NDB environment.
How should the administrator accomplish this task?
Answer: C
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.
References:
* 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 # 253
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