VMware Updated 5V0-35.21 Exam Questions and Answers by poppie

To add an additional data node to the existing vRealize Operations cluster, you need to deploy a new data node from the Administration Ul. A data node is a node that collects, stores, processes, and analyzes data from your environment. You can expand an existing installation to add a data node by following these steps1:

• In a Web browser, navigate to the name or IP address of the node that will become the data node. The setup wizard appears, and you do not need to log in to vRealize Operations.
• Click Expand an Existing Installation.
• Click Next.
• Enter a name for the node (for example, Data-1).
• From the Node Type drop-down, select Data.
• Enter the FQDN or IP address of the primary node and click Validate.
• Select Accept this certificate and click Next.
• Verify the vRealize Operations administrator username of admin.
• Enter the vRealize Operations administrator password.
• Click Next, and click Finish.

The other options are not correct because they do not deploy a new data node from the Administration Ul. Option A is incorrect because cloning an existing data node is not supported and may cause data inconsistency. Option C is incorrect because deploying a new virtual appliance from an OVF file is not enough to add a data node to the cluster. You still need to configure the node type and join the cluster from the Administration Ul. Option D is incorrect because enabling High Availability in the Administration Ul does not add a data node to the cluster. It only creates a replica of the primary node for failover purposes. References: Expand an Existing Installation to Add a Data Node

vRealize Operations is a self-driving IT operations management platform that delivers continuous performance optimization, efficient capacity and cost management, and intelligent remediation for the VMware SDDC and hybrid cloud environments1. The use cases for vRealize Operations are aligned with these three key outcomes, as follows:

Option B is a valid use case, as Intelligent Remediation enables vRealize Operations to proactively detect and resolve issues across applications, infrastructure, and cloud services. It provides full-stack visibility, integrated compliance, and automated workflows for faster troubleshooting and remediation2.

Option D is also a valid use case, as Efficient Capacity and Cost Management enables vRealize Operations to optimize resource utilization, reduce costs, and plan for future demand. It provides real-time capacity analytics, what-if scenarios, cost transparency, and budget planning3.

Option E is also a valid use case, as Continuous Performance Optimization enables vRealize Operations to balance and optimize performance and efficiency across the SDDC and hybrid cloud. It provides automated workload placement, resource reclamation, and proactive configuration management.

Option A is not a valid use case, as Implement Zero Trust is not a core outcome of vRealize Operations. Zero Trust is a security model that requires strict verification of identity and access for every request and transaction, regardless of the location or device. While vRealize Operations can help monitor and enforce compliance policies, it is not designed to implement Zero Trust on its own.

Option C is not a valid use case, as Self-Service Catalog is not a core outcome of vRealize Operations. Self-Service Catalog is a feature of VMware vRealize® Automation™, which is a cloud automation platform that allows users to request and provision IT services from a catalog of predefined items. vRealize Operations can integrate with vRealize Automation to provide visibility and control over the cloud resources, but it does not provide the catalog functionality itself.

Option F is not a valid use case, as Infrastructure Pipelining is not a core outcome of vRealize Operations. Infrastructure Pipelining is a concept of applying DevOps principles and practices to the provisioning and management of infrastructure resources. It involves using code, automation, and continuous integration and delivery tools to streamline and standardize the infrastructure lifecycle. vRealize Operations can support Infrastructure Pipelining by providing insights and recommendations for the infrastructure performance and capacity, but it does not provide the pipelining functionality itself.

References:

• vRealize Operations - VMware Docs
• Intelligent Remediation - VMware Docs
• Efficient Capacity and Cost Management - VMware Docs
• [Continuous Performance Optimization - VMware Docs]
• [Zero Trust Security - VMware Docs]
• [vRealize Automation - VMware Docs]
• [Infrastructure Pipelining - VMware Blogs]

Expected Utilization is the workload option that should be included in the scenario to simulate 25% utilization of the resources. Expected Utilization is a percentage value that indicates how much of the allocated resources (CPU, memory, and storage) are expected to be used by the workload. By setting the Expected Utilization to 25%, the administrator can model the impact of adding or removing a workload that consumes 25% of the resources in the datacenter. Memory, Annual Projected Growth, and CPU are not workload options, but workload attributes. Memory and CPU are the amount of resources allocated to the workload, and Annual Projected Growth is the percentage by which the workload is expected to grow each year. These attributes do not directly specify the utilization of the resources by the workload. References: What-If Analysis - Workload Planning: Traditional, section “How What-If Analysis - Workload Planning: Traditional Works”. vRealize Operations Manager User Guide, section “Create and Configure Dashboards”.

According to the vRealize Operations User Guide1, the two statements that accurately characterize reports in vRealize Operations are:

• A report layout can contain table of contents, cover page, and footer. The report layout defines the appearance and structure of the report, and can include these optional elements to enhance the readability and presentation of the report1.
• Scheduling of reports can be done hourly, daily, weekly, and monthly. The report schedule defines the frequency and time of the report generation, and can be set to run at regular intervals, such as hourly, daily, weekly, or monthly, or at a specific date and time1.

The other statements are not accurate because:

• Views and Dashboards are not the only data types available for a report. A report can also include other data types, such as alerts, events, metrics, properties, and super metrics1.
• Only PDF type reports cannot be used to schedule a report generation. A report can be generated in different formats, such as PDF, CSV, or XML, and any of these formats can be used to schedule a report generation1.
• Reports scheduled for generation can be shared out via email or FTP. A report can be configured to send the generated output to one or more email recipients, or to upload the output to an FTP server1.

References: 1: vRealize Operations User Guide, pages 81-87.