NCP-DB Exam Dumps - Nutanix Certified Professional (NCP) Questions and Answers

Point in Time Recovery (PITR) is a feature of NDB that allows restoring a database to any point in time within the retention period of the SLA. To enable PITR, the SLA must support Continuous Log retention, which means that NDB captures and stores the database logs continuously. This allows NDB to replay the logs from the last snapshot to the desired point in time during the restore process. The other options do not enable PITR, but rather affect the frequency and timing of the snapshots and log catch up operations.

 Nutanix Support & Insights, section “NDB Time Machine Point in Time Recovery”

NDB treats an Oracle RAC database as one managed database rather than as unrelated per-node databases. Nutanix documentation states that NDB creates a single Time Machine for a registered RAC database while collecting metadata for all nodes and instances forming that database. Consequently, an NDB database restore targets the RAC database environment as a whole, making option C the valid statement among the choices. It is not a node-level storage-repair or operating-system reconstruction function, and NDB does not restore only one RAC node or automatically rebuild that node by copying it from its peers. If the node’s VM, operating system, Grid Infrastructure, or database binaries are corrupted, those components may require separate remediation before the database-level restore. Nutanix’s Oracle RAC documentation confirms the single-Time-Machine management model, and its restore procedure applies to RAC databases.

The correct answer is D because it meets the requirements of maintaining five days of time-travel capability to any second and an additional seven days of discrete recovery at a daily interval. Continuous log retention allows the administrator to restore the database to any point in time within the specified number of days, while snapshot retention allows the administrator to restore the database to a specific point in time at a fixed interval. Therefore, by setting the daily snapshot retention to 7 days, the administrator can ensure that there is a discrete recovery point for each day of the week. By setting the continuous log retention to 5 days, the administrator can ensure that there is a time-travel capability to any second within the last five days. The other options do not meet the requirements because they either have less than five days of continuous log retention or less than seven days of snapshot retention. References: Nutanix Database Management & Automation (NDMA) course, Nutanix Certified Professional - Database Automation (NCP-DB) certification, Nutanix NCP-DB Certification Exam Syllabus and Study Guide, Nutanix Certified Professional - Database Automation (NCP-DB) datasheet

Selecting Group Database with One Time Machine associates multiple SQL Server databases with one protection construct rather than separate Time Machines. Nutanix explicitly recommends grouping databases when they share protection requirements because the arrangement provides optimized RPO and improved performance. It also lets the group be protected, cloned, and recovered consistently under one SLA and one snapshot and log-catch-up schedule. Reduced storage consumption may occur as a secondary operational effect, but it is not the documented key architectural benefit. Faster provisioning is likewise not the principal reason for creating a database group, and independent recovery contradicts the group model because the databases share the same Time Machine. Therefore, optimized RPO and performance is the only option that matches Nutanix’s documented guidance for database groups.

NDB’s one-click patching workflow tracks patch actions and the corresponding database-server state in the NDB control plane. If an administrator patches the operating system manually outside NDB, those changes bypass the managed workflow, so NDB metadata is not updated. The VM is not automatically rolled back, and NDB does not automatically refresh it from a Software Profile. Instead, the difference between the server’s actual configuration and NDB’s recorded state can affect later lifecycle operations and produce unexpected behavior. Nutanix explicitly warns administrators to avoid manual patching outside NDB for this reason and states that the metadata will not update. Therefore, option D is correct. The candidate file’s supplied answer C states the opposite of the official One-Click Patching guidance and has been corrected. Nutanix One-Click Patching documentation

To install NDB on a Nutanix AHV cluster, you need to download the QCOW2 image file of NDB from the Nutanix Support Portal and upload it to Prism Element. This image file contains the NDB software and the CentOS operating system. After uploading the image, you need to create a VM from the image and configure the network settings. Then, you need to register the NDB VM with Prism Central and enable the NDB service in the settings menu. References: Nutanix Support & Insights, Professional Services: NDB Database Cloning

The exhibit shows the "Create Snapshot" interface in NDB, where the administrator can select Nutanix clusters where the snapshot should be made available. However, only a single cluster appears despite multiple clusters in the environment. The most likely reason is that NDB Multi-cluster has not been enabled. Multi-cluster support in NDB requires explicit configuration to enable snapshot replication and data availability across remote clusters (e.g., via Prism Central and network profiles). Without this, NDB restricts snapshot operations to the local cluster where the database resides.

Other options are less likely:

A. The remote clusters are running ESXi: NDB supports ESXi clusters, so this alone wouldn’t limit visibility unless multi-cluster is disabled.

B. The snapshot will be too big to replicate to a remote cluster: Size is a consideration during replication, but it doesn’t prevent cluster visibility in the UI.

D. The remote clusters have an older version of AOS installed: Version compatibility might affect replication, but it wouldn’t hide clusters from the list unless multi-cluster setup is incomplete.

Thus, the verified answer is C, pointing to the need for multi-cluster configuration.

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) v7.5Knowledge Objectives, Section 4: Troubleshoot NDB Solutions, Objective 4.3: Configure HA Across Clusters (applicable to v7.5).

Nutanix NDB Administration Guide: "Enabling Multi-Cluster Snapshot Replication" section.

The NDB database agent is a service that runs on each database server VM and communicates with the NDB instance. It uses port 443 for HTTPS API calls and port 9440 for Nutanix cluster API calls. These ports are required to be open on the database server VMs for NDB to function properly. References: Nutanix Database Management & Automation (NDMA), page 9; Ports and Protocols Reference Chart | Nutanix Community, section “Nutanix Database Service (NDB)”

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

A new web application with up to 200 concurrent connections to a PostgreSQL database requires a robust and scalable configuration. Provisioning a PostgreSQL HA (High Availability) instance in NDB is the most effective action to achieve this goal. An HA instance leverages replication (e.g., streaming replication) to distribute load and ensure availability, accommodating high concurrency by allowing multiple nodes to handle traffic. This approach simplifies configuration compared to manual scripting or parameter adjustments.

Option A (Use Post Create Command when provisioning the DB) is incorrect because post-create commands are for custom scripts, not optimal for handling concurrent connections.

Option B (Create a new Database Parameters profile) is incorrect because while it can tune settings, it’s less efficient than HA for scaling concurrency.

Option C (Edit the API equivalent shell script) is incorrect as it’s a manual and error-prone method compared to HA provisioning.

Option D is correct because a PostgreSQL HA instance natively supports high concurrency and availability.

Note: The typo "PostqreSQL" is assumed to mean "PostgreSQL."

References

Nutanix Database Service (NDB) User Guide, Chapter 4: Managing Database Engines, Section: Provisioning HA Instances

Nutanix Certified Professional - Database Automation (NCP-DB) v7.5Blueprint, Section 4: Manage Database Engines