3V0-22.25 Leak Questions

The administrator should first locate the relevant VM compliance alert by filtering the VM’s alert list using Alert Subtype = Compliance . Compliance benchmark violations are implemented as alert definitions and symptoms, so filtering by compliance subtype narrows the alert list to the correct class of benchmark findings. After opening the alert, the administrator should inspect the alert evidence and specifically expand Alert Basis . Broadcom documents that Alert Basis shows the active symptoms or conditions that were met for the alert when Active Only is enabled, which directly identifies the symptom or symptoms that triggered the compliance violation ( TechDocs ). The Potential Evidence view is also part of the alert investigation workflow and exposes supporting evidence around the alert, including the basis used to explain why the alert fired ( TechDocs ). Related Alerts is not the correct place to identify the triggering symptom; it shows other correlated alerts. Object Type = Compliance is invalid because compliance is an alert subtype, not a VM object type. Go to Alert Definition shows the configured definition, but not necessarily which symptoms were active on that VM at trigger time. Reference topic: Objective 4.16 – Compliance Benchmarks / CIS Security Standards / Alert Basis and Triggered Symptoms .

The correct administrative action is to clone the predefined dashboard and then modify the cloned copy. “Live! Heavy Hitters” is a predefined dashboard used to analyze shared infrastructure misuse and identify virtual machines with high activity against shared resources. Because it is delivered as predefined content, the supported customization pattern is not to directly edit the original dashboard, but to clone it and make changes to the copy. Broadcom’s dashboard documentation states that administrators can clone and edit predefined dashboards or create new dashboards from scratch. This preserves vendor-provided content while allowing operational teams to add site-specific widgets or metrics such as Cost | VM Cost Trend . Option A is not the best answer because changing ownership is used for ownership/sharing administration, not the preferred method for altering predefined dashboard content. Options B and C imply direct editing of the original dashboard, which is not the expected process for built-in dashboards. Option D is incorrect because exporting is used for portability or backup, not live customization. Reference topic: Objective 4.10 – Creating Custom Dashboards, Views and Reports in VCF Operations / predefined dashboards / clone and customize dashboard workflow .

The correct selections are A, C, and E . For VCF Operations for Logs content-pack query design, Broadcom’s documented leading practice is to build portable and efficient message queries. Queries should not be tied to environment-specific attributes such as a particular hostname, source, or facility, because content-pack queries must work consistently across customer environments and not depend on local naming conventions ( TechDocs ). For performance, the query should use the least expensive matching method first: keywords , then globs , and only then regular expressions when the simpler forms cannot meet the requirement. Broadcom explicitly documents that query construction should follow this keyword-to-glob-to-regex progression ( TechDocs ). Regular expressions are the most expensive search type, so when regex or field operations are required, the query should include as many selective keywords as possible to reduce the event set before regex processing occurs ( TechDocs ). Splitting text filters into multiple lines or multiple regex expressions increases complexity and cost. Boolean restructuring alone does not replace proper keyword-first design. Reference topic: Objective 4.12 – VCF Operations for Logs / Content Packs / Message Query Best Practices .

The three required considerations are data loss, agent reinstallation, and failover/failback downtime. VCF Operations supports Application Monitoring High Availability for collector groups so application monitoring can continue when a cloud proxy or cloud proxy component fails. The documentation states that cloud proxies in an application-monitoring HA collector group operate in a primary-secondary mode . However, existing Telegraf agents cannot simply be converted to HA. To move an existing target machine to application monitoring HA, the administrator must install or reinstall the agent using an application-monitoring HA activated collector group . The same guidance states that adding a cloud proxy currently used by Telegraf agents to an HA activated collector group causes loss of existing application data, so historical application data must be treated as non-preserved during this transition . Finally, HA does not eliminate all interruption: failover or failback has a downtime of three collection cycles , and adding or removing a cloud proxy from the HA collector group also has a three-cycle downtime . Reference topic: Objective 4.7 – Monitor Applications / Product-Managed Telegraf / Application Monitoring High Availability / Collector Groups .