2V0-32-24 Sample Questions & Answers
Day 2 administrative, environment and content tasks in Lifecycle Manager dominate the weighting, next to installation prerequisites, log bundles and cluster troubleshooting, how vRealize Operations and Log Insight are architected, and basic cloud management concepts.
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Real questions from the VMware Cloud Operations 8.x Professional V2 practice test — answers and explanations included. Showing 10 of 20 free samples.
- Question 1Beginner
Section 7 – Administrative and Operational Tasks · Objective 7.19 – Configure and manage log forwarding, log masking, and log filtering in vRealize Log Insight
True or False: When configuring log forwarding in vRealize Log Insight, it is possible to apply a filter to forward only specific log messages to a third-party destination like a SIEM tool.
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Correct answer: A
This statement is true. vRealize Log Insight provides robust log forwarding capabilities, which include the ability to add filters. These filters work just like queries in the Interactive Analytics tab, allowing administrators to define specific criteria (e.g., text contains 'error', hostname matches 'prod-*') to selectively forward only relevant log messages to an external destination.
- Question 2Intermediate
Section 7 – Administrative and Operational Tasks · Objective 7.13 – Assess the cost of a managed VMware Cloud environment
A company wants to implement chargeback for its development teams. An administrator needs to create a report that shows the total cost of all VMs tagged with a specific 'CostCenter' tag. The pricing is defined in a vRealize Operations policy. Which sequence of actions should the administrator perform to generate this report?
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Correct answer: A
The standard workflow for creating custom reports based on specific object criteria is to first create a View. The View defines the data to be collected (subject, metrics, and filtering). In this case, a 'List' view for 'Virtual Machine' objects, filtered by the 'CostCenter' tag and including cost metrics, is the correct first step. Once the view is created and validated, a new report can be generated that incorporates this view to present the final data.
- Question 3Advanced
Section 7 – Administrative and Operational Tasks · Objective 7.20 – Configure and manage retention and archiving settings for vRealize Log Insight
An administrator is managing a large-scale vRealize Log Insight 8.8 cluster and needs to ensure that logs from the production environment are retained for 90 days, while logs from the development environment are retained for only 14 days. All logs are currently being sent to the default partition. How can the administrator achieve this requirement?
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Correct answer: C
vRealize Log Insight uses Index Partitions to manage data retention and archiving for different sets of logs. The administrator should create two new partitions, configure filters on each to match logs from the respective environments (e.g., based on hostname or a custom field), and then set the retention period for each partition to 90 days and 14 days, respectively. This allows for granular control over data lifecycle within a single cluster.
- Question 4Intermediate
Section 6 – Troubleshooting and Repairing · Objective 6.3 – Describe the options for managing vROps/vRealize Log Insight admin and root passwords
A vRealize Operations administrator has been alerted that the root password for one of the data nodes has been lost. The organization's security policy prohibits re-deploying nodes. Which method can be used to reset the root password for the affected node?
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Correct answer: B
The standard procedure for resetting a lost root password on a vRealize Operations appliance (which is a Photon OS-based virtual appliance) involves rebooting the VM, interrupting the GRUB bootloader, and adding
rw init=/bin/bashto the boot parameters to enter single-user mode. Once at the bash prompt, thepasswdcommand can be used to set a new root password. - Question 5Advanced
Section 3 - Planning and Designing · Objective 3.1 – Describe the different architectures for vRealize Operations (standalone vs. clustered, HA, and Continuous Availability modes)
Case Study:
Company Background:
Global Retail Inc. is a large e-commerce company that runs its primary application platform on VMware vSphere. They have decided to implement VMware Cloud Operations to gain better visibility into performance, capacity, and cost. The environment consists of two primary datacenters, DC1 and DC2, connected via a high-speed, low-latency link (5ms RTT). They have a separate, smaller datacenter, DC3, used for disaster recovery, which has a 25ms RTT link to both DC1 and DC2.Current Situation:
The operations team has deployed a 4-node vRealize Operations cluster and a 3-node vRealize Log Insight cluster using vRealize Suite Lifecycle Manager. All nodes for both products are currently deployed in DC1. The team is now tasked with making the monitoring platform resilient to a full datacenter failure of DC1. They want to ensure that monitoring and log collection can continue if DC1 becomes completely unavailable.Requirements:
- The vRealize Operations platform must remain fully functional and available for user access if either DC1 or DC2 fails.
- Log ingestion for vRealize Log Insight must not be interrupted by the failure of a single datacenter (DC1 or DC2).
- The solution should leverage existing datacenters and network links where possible.
- The solution must adhere to VMware's documented best practices and supported configurations.
Which architectural change best meets all the requirements?
graph TD subgraph Current State subgraph DC1 vROps1[vROps Node 1] vROps2[vROps Node 2] vROps3[vROps Node 3] vROps4[vROps Node 4] vRLI1[vRLI Node 1] vRLI2[vRLI Node 2] vRLI3[vRLI Node 3] end end subgraph Links DC1 |5ms RTT| DC2 DC1 |25ms RTT| DC3 DC2 |25ms RTT| DC3 endShow answer & explanation
Correct answer: D
This solution meets all requirements. 1) vROps Continuous Availability requires splitting data nodes across two low-latency sites (DC1/DC2, <10ms) and a witness in a third failure domain (DC3). The high latency to DC3 makes it suitable only for the witness. 2) Stretching a vRLI cluster across datacenters is not a supported HA configuration. The correct approach for datacenter resiliency is to have two separate clusters and configure bi-directional log forwarding, ensuring all logs are available in both locations. 3) This leverages all existing sites appropriately based on their network characteristics and adheres to VMware's documented architectures for high availability.
- Question 6IntermediateSelect 3
Section 7 – Administrative and Operational Tasks · Objective 7.15 – Manage jobs with Automation Central
An administrator wants to use Automation Central in vRealize Operations to automatically reclaim oversized virtual machines. However, they want to prevent any automated actions on critical production VMs. Which three methods can be used to exclude specific VMs from these automated reclamation jobs? (Select THREE).
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Correct answers: A, B, D
- Question 7Intermediate
Section 6 – Troubleshooting and Repairing · Objective 6.7 – Troubleshoot the common vRealize Suite Lifecycle Manager performance and configuration issues
A cloud administrator is using vRealize Suite Lifecycle Manager to apply a patch to a vRealize Operations environment. The administrator initiates the patching process, but it fails during the pre-check stage. Where should the administrator look first to find detailed information about the cause of the pre-check failure?
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Correct answer: C
vRealize Suite Lifecycle Manager provides a detailed request tracking system. The first and most direct place to troubleshoot a failed operation is to navigate to the 'Requests' page in the UI, find the failed patching request, and click on it. This will display a graphical representation of the workflow stages, highlighting the exact stage that failed (in this case, a pre-check) and providing specific error messages associated with that failure.
- Question 8Intermediate
Section 7 – Administrative and Operational Tasks · Objective 7.19 – Configure and manage log forwarding, log masking, and log filtering in vRealize Log Insight
To comply with security standards, an administrator must prevent sensitive data, such as credit card numbers, from being stored in vRealize Log Insight. The credit card numbers appear in log messages in the format
ccn=xxxx-xxxx-xxxx-xxxx. Which feature should be used to prevent this data from being written to disk?Show answer & explanation
Correct answer: D
Log Masking is the feature specifically designed for this purpose. It allows administrators to define regular expressions to identify sensitive data patterns within incoming log messages. When a match is found, the data is replaced with a mask (e.g., '#####') before it is indexed and written to disk, ensuring the sensitive information is never stored.
- Question 9Advanced
Section 2 - VMware Products and Solutions · Objective 2.3 – Identify the use case for Skyline, Federated Analytics, and vRealize AI Cloud
An organization has two separate vRealize Operations instances, one for production and one for development. The operations team wants to view dashboards from the production instance within the development instance's UI without logging in separately. Which feature allows for this type of integration?
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Correct answer: B
Federated Analytics is the feature that allows a vRealize Operations instance to connect to another vRealize Operations instance and pull in data, including dashboards and reports. This enables a single-pane-of-glass view across multiple, separate deployments without data duplication, which perfectly matches the described use case.
- Question 10Beginner
Section 2 - VMware Products and Solutions · Objective 2.5 – Identify the use case for vRealize Operations Remote Collectors, Cloud Proxies, and Collector Groups
What is the function of a Collector Group in a vRealize Operations environment?
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Correct answer: B
A Collector Group is a logical grouping of Cloud Proxies or Remote Collectors. When an adapter instance is assigned to a Collector Group instead of a single collector, vRealize Operations can automatically fail over the data collection task to another member of the group if the primary collector becomes unavailable. This ensures high availability for data collection.
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