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| Section | Weight | Objectives |
|---|---|---|
| Multi-Cluster Operations | 20-25% | - Cluster discovery and registration - Cluster health monitoring - Centralized management across multiple clusters |
| Infrastructure Lifecycle Management | 20-25% | - Upgrading AOS and firmware - AHV hypervisor management - Node addition and removal - Lifecycle Manager (LCM) operations |
| Storage Configuration | 10-15% | - Storage pools and containers - Data reduction and compression - Storage tiering - Volume groups |
| Networking Concepts | 15-20% | - Network security policies - IP address management - Network virtualization with AHV - Flow networking (Nutanix Flow) |
| Troubleshooting and Monitoring | 10-15% | - Common issue resolution - Performance monitoring - Prism alerts and notifications - Log collection and analysis |
| Security and Authentication | 15-20% | - Authentication integration (LDAP/AD) - Role-Based Access Control (RBAC) - SSL certificate management - Audit logging |
| Prism Central | 20-25% | - Prism Central overview and deployment - Managing clusters via Prism Central - Prism Central navigation and dashboard |
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NEW QUESTION # 50
An administrator manages a shared AHV environment where Dev workloads must not exceed 2,000 IOPS per VM during business hours to prevent noisy-neighbor impact on Prod.
The administrator already uses categories to group VMs (for example, category Env=Dev) and wants a scalable approach that applies consistent throttling to all current and future Dev VMs without configuring each VM individually.
Which approach best meets the requirement?
Answer: D
Explanation:
Nutanix documents Storage QoS as the correct mechanism to throttle VM I/O and prevent noisy-neighbor behavior. Nutanix also documents that storage policies in Prism Central apply to Categories, and that QoS settings such as throttled IOPS can be defined in the storage policy itself. That means the administrator can create one policy, set the IOPS cap, and apply it to the category assigned to Dev VMs. Current and future VMs with that category then inherit the same behavior without one-by-one configuration. That is exactly the scalable model described in option B.
The other options do not meet the requirement as cleanly. Replication factor affects resilience, not IOPS governance. Cloning one VM's QoS is not a robust policy framework for future operations, especially when category-based automation already exists. Compression changes storage efficiency and sometimes performance characteristics, but it does not function as an enforceable per-VM IOPS cap. Because Nutanix explicitly ties QoS throttling to storage policies and category-based assignment, B is the documented and most maintainable answer.
NEW QUESTION # 51
An administrator wants to define a set of conditions and approvers that must be satisfied before a deployment can proceed.
Which component must be enabled?
Answer: C
Explanation:
Nutanix Self-Service and NCM documentation explains that approval policies are built around defined conditions and approvers, and those policies are part of the broader Policy Engine capability. Nutanix further documents that the Policy Engine is included in NCM and provides the governance framework for conditions- based approvals before deployment actions proceed. Since the question asks specifically about defining conditions and approvers that must be satisfied before deployment, the correct enabling component is Policy Engine.
Marketplace can host deployable items, but it does not by itself provide the approval-governance mechanism being asked about. Nutanix Central and Power Monitor are unrelated to approval workflows. The wording in the question almost mirrors Nutanix's own approval-policy description, which is why the intended answer is clear. To enforce conditional approvals before provisioning or deployment actions, administrators use Policy Engine. Therefore A is the authentic answer.
NEW QUESTION # 52
A cluster only has one storage pool. Even though the pool has sufficient empty space, all but one container are out of space. What could be the cause of this?
Answer: A
Explanation:
Nutanix documentation on capacity reservation explains that a storage container can reserve a portion of storage so that a minimum amount of capacity remains available for that specific container. When reservations are configured, one container may retain protected usable space while other containers in the same storage pool can run out of usable capacity first, even though the pool still shows free space overall.
That exactly matches the scenario in the question, which is why C is the correct answer. ( Nutanix ) This is a subtle storage-administration concept. The question is not saying the pool itself is full; it says all but one container are out of space while the single pool still has free space. That pattern is much more consistent with reservation policy than with hardware failure. Failed nodes or drives would usually surface additional health symptoms and would not neatly explain one container still having preserved capacity while the others are exhausted. Nutanix intentionally allows reservation for predictable capacity control, and that is the feature responsible here. Hence A, B, and D are distractors, while C is correct. ( Nutanix )
NEW QUESTION # 53
The accounting department has been successfully utilizing Erasure Coding for a long time. During the weekend, there was a large increase in data usage. The administrator expected lower space usage on the storage container.
What could be the cause of this low space savings?
Answer: C
Explanation:
Nutanix documentation states that the default erasure coding window for write-cold data is seven days. That means newly written or recently modified data is not immediately converted into erasure-coded stripes. If there was a large increase in data usage over a weekend, the administrator might not yet see the expected space savings because the new data has not aged long enough to fall within the EC processing window. That is why D is the correct answer.
This is a timing question more than a configuration question. The issue is not that EC has failed or deactivated automatically; it is that the data may still be considered too "hot" for the erasure-coding policy to process under the default window. DSIP and Prism Central health are irrelevant to whether EC space savings appear on a storage container. Nutanix separates the eligibility window from the fact that EC is enabled. Therefore, after a sudden growth event, lower-than-expected savings are best explained by the default erasure coding window settings, which is option D.
NEW QUESTION # 54
An administrator would like to create a VM template for reusability, to simplify VM management, and improve security.
When should the administrator apply a guest customization profile to simplify VM management?
Answer: A
Explanation:
Nutanix documentation describes guest customization profiles as reusable configuration settings that can be applied during VM deployment from a template and also during certain clone operations. For Linux-based cloud-init workflows, Nutanix explicitly shows that when deploying a VM from a template with Cloud-Init guest customization, administrators can apply or override the customization settings at deployment time. That makes option A the cleanest and most documentation-aligned answer. ( portal.nutanix.com , portal.nutanix.
com )
Why not the others? Nutanix does support guided setup and clone scenarios, but the wording "create a VM template for reusability" points most strongly to the template deployment workflow rather than one-off cloning. Cloud-init is also the Nutanix-native customization method for Linux initialization at first boot, which makes it especially suitable for standardized reusable templates. So if the goal is simple repeatable management with a template-driven lifecycle, the correct point to apply the guest customization profile is when deploying a VM with Cloud-Init guest customization, which is A. ( portal.nutanix.com )
NEW QUESTION # 55
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