5V0-93.22 Premium File
- 60 Questions & Answers
- Last Update: Nov 8, 2026
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The 5V0-93.22 exam was VMware Carbon Black Cloud Endpoint Standard Skills. Broadcom’s retired-exam record lists it as retired on June 30, 2025, and the surviving exam guide describes a 60-item, 105-minute assessment centered on Endpoint Standard architecture, policy, sensors, alerts, reputation, investigation, response, and administration.
The retirement matters because Broadcom now offers different Carbon Black technical specialist certifications. Candidates should not use the old VMware exam code as proof of a current booking path. The technical material still has value, especially for teams operating Carbon Black Cloud environments or learning endpoint detection and response concepts.
Endpoint Standard is easiest to understand as a feedback loop. Sensors observe endpoint behavior, cloud analytics evaluate activity, policy influences prevention and response, alerts direct analysts toward suspicious events, investigation establishes scope and context, and remediation changes the endpoint or security control. Study the loop rather than isolated features.
A cloud endpoint platform only sees what the sensor reports. Administrators should know how sensors are installed, assigned, updated, and monitored, and how disconnected or unsupported devices affect visibility. Inventory counts are less important than the percentage of important assets actually reporting usable telemetry.
Deployment should account for operating systems, server roles, virtual images, remote connectivity, maintenance windows, and security software coexistence. A rushed rollout that destabilizes production can force broad exceptions and undermine confidence in the platform.
Troubleshooting starts with sensor state, policy assignment, time of last check-in, and connectivity to required cloud services. If those basics are wrong, later conclusions about missing alerts or absent activity may be unreliable.
Endpoint Standard policies can determine how suspicious or untrusted behavior is treated. Strong policy is not simply the most aggressive block setting. It is a deliberate balance between risk, workload behavior, user role, false-positive tolerance, and the organization’s ability to investigate exceptions.
Use staged groups when changing prevention controls. Apply the new setting to a representative pilot, monitor what would have been blocked, validate business applications, and then expand. This keeps policy tuning evidence-based instead of reactive.
The concept fits zero-trust architecture: trust is continuously evaluated rather than permanently granted because a device once enrolled successfully. Endpoint behavior, identity, and current posture should influence how much access and execution freedom the system receives.
Policy changes should also be staged. A prevention rule that is reasonable for a standard office workstation may break a developer system, kiosk, server workload, or specialized line-of-business application. Strong administration begins with representative endpoint groups, uses telemetry to understand expected behavior, applies controls to a limited population, and verifies both security and application health before broad rollout. That approach reduces the temptation to create permanent blanket exclusions after one disruptive deployment.
Sensor lifecycle management deserves the same attention as detection logic. Version compatibility, upgrade rings, connectivity to the cloud service, tamper protection, proxy behavior, and operating-system changes can all affect what telemetry reaches the console. A device that still appears in inventory can nevertheless be functionally blind if the sensor is unhealthy. Operational dashboards should therefore separate mere enrollment from recent check-in, policy status, sensor health, and evidence freshness.
Investigation should preserve the difference between hypothesis and fact. A suspicious PowerShell command, unsigned executable, or unusual network connection is a lead; it becomes part of an incident narrative only after the surrounding process, user, host, and timing evidence support that interpretation. Analysts who record those distinctions make better containment decisions and leave a clearer handoff for incident response. Endpoint Standard skills are strongest when the console is used to test explanations, not simply to acknowledge alerts.
File reputation can help distinguish trusted, known-malicious, and unknown software, but analysts should not treat reputation as an oracle. New internal tools, rare utilities, signed malware, and compromised legitimate software can all produce cases where context matters more than a simple label.
When reviewing a file, look at hash, signer, path, prevalence, parent process, user, command line, network behavior, and whether the activity matches the endpoint’s role. A rare binary on a developer workstation means something different from the same binary appearing unexpectedly across domain controllers.
Local overrides and allow lists should be governed. Every exception should have an owner, reason, scope, and review date. Otherwise, short-term fixes accumulate into permanent blind spots.
Alert triage should reconstruct behavior, not chase labels. A useful alert investigation asks what happened before, during, and after the triggering event. Process trees, command lines, file modifications, persistence changes, and network connections can reveal whether the activity was a benign administrative workflow or part of an attack chain.
Severity is only one input. Asset criticality, user privilege, rarity, lateral-movement indicators, data access, and whether the activity was prevented all affect urgency. Analysts need a consistent triage framework so similar evidence receives similar treatment.
Because incident-response speed matters, standard operating procedures should define the first evidence to collect and the conditions that trigger escalation or containment. Consistency is more valuable than improvising a different investigation path for every alert.
Once suspicious activity is identified on one endpoint, the next question is scope. Search for the hash, process name, signer, parent-child pattern, command-line fragment, network destination, or user across the environment. Each search should test a specific hypothesis about spread or recurrence.
Be aware of telemetry gaps. Offline endpoints, retention limits, delayed ingestion, and sensor problems can make a search result incomplete. “No matches” means no matches in the available data, not proof that the activity never occurred.
Create a case timeline from the most reliable events. Put process creation, file writes, authentication, network connections, alerts, and response actions in order. A timeline can reveal the initial execution point and separate attacker activity from later administrator remediation.
Scoping should deliberately look for both similarity and absence. Search for the same hash, process name, parent-child relationship, command line, destination, user, or behavior across the fleet, but also note where expected evidence is missing. A host that has stopped reporting can be more important than one with a noisy alert. The result should be a defensible list of affected, suspected, and cleared systems rather than an unqualified count from one query.
Network quarantine can limit an endpoint’s ability to communicate while preserving enough management connectivity for investigation, but the operational impact can be significant. Security teams should predefine which asset classes may be isolated automatically and which require human approval.
Response actions need verification. After containment, confirm that suspicious communication stopped, persistence is removed or understood, credentials are addressed if necessary, and the same indicators are not active elsewhere. Closing the alert because a device was quarantined is incomplete incident handling.
Document why and when the device was returned to service. Recovery is a security decision: the team needs evidence that the original condition was removed and that the endpoint has returned to a trusted state.
After containment, verify that the endpoint can be returned to service deliberately rather than simply releasing isolation and hoping normal behavior resumes.
Endpoint telemetry becomes stronger when correlated with other controls. A SIEM can combine Carbon Black alerts with identity, DNS, firewall, cloud, and application logs. Correlation can distinguish an isolated suspicious process from a broader sequence that includes credential misuse, unusual network access, or data movement.
Integrations should preserve identifiers that allow joining events: hostname, device ID, username, timestamp, hash, process identifiers, and network addresses. Sending only a human-readable alert title limits what analysts can correlate automatically.
The same operational discipline appears in continuous monitoring: collect signals that support decisions, establish baselines, and route actionable conditions to owners. More data is not automatically better if nobody can interpret or respond to it.
Broadcom’s current exam catalog includes Carbon Black Cloud Technical Specialist and related product-specific exams. Those current Broadcom pages should be the source of truth for certification requirements, prerequisites, delivery, and active product coverage.
5V0-93.22 remains relevant to the history of VMware certification and to environments built during that era, but it should be labeled as retired. The product skill can outlive the credential code, especially in organizations that do not upgrade security platforms immediately.
For migration planning, compare the old Endpoint Standard capabilities your organization uses with the current Carbon Black Cloud offering and support model. Do not assume that feature names, policy defaults, APIs, or certification tracks stayed identical through ownership and product evolution.
Hands-on preparation should follow a controlled incident. Create a lab policy, deploy sensors to a small set of test endpoints, generate benign behaviors that exercise process creation and network activity, and practice identifying what the console records. The goal is to know which evidence exists before a real investigation depends on it.
Then simulate an incident workflow: trigger a safe alert, inspect the process tree, search the environment for related activity, isolate the endpoint if appropriate, document findings, and verify recovery. Every action should have an expected observation so the exercise teaches cause and effect.
This workflow complements broader security-operations skills. A strong analyst can move between endpoint telemetry and organization-wide incident context without losing the evidence chain or making destructive changes before the scope is understood.
The retired 5V0-93.22 exam remains a useful map of endpoint detection and response practice: healthy sensors, deliberate policy, contextual reputation, disciplined triage, scoping, containment, and verified recovery.
Use it for technical understanding, while using Broadcom’s current Carbon Black certification catalog for any present-day credential decision.
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