You save $69.98
The cloud team needs a bounded claim about: create a private load-balanced frontend rather than an internet-routable public address. Which statement avoids promising more than the control supplies?
An internal load balancer does not itself encrypt backend traffic or guarantee regional disaster recovery. That remains a practical service boundary even after the recommended change (configure an internal Azure Load Balancer with a private frontend IP, backend pool and health probe) is implemented; retest it when identities, policies, service capacity or network paths change.
The two checks cover separate behavior: 'Connect from a permitted VNet client to the internal frontend IP' and 'Attempt direct internet connectivity and confirm the private frontend is not exposed'. Neither check removes the remaining operational limitation: An internal load balancer does not itself encrypt backend traffic or guarantee regional disaster recovery.
The incident (external clients can connect to the proxy, contrary to the private-only requirement) could recur if a related Azure dependency changes. The design still faces the limitation: An internal load balancer does not itself encrypt backend traffic or guarantee regional disaster recovery.
The successful check 'Connect from a permitted VNet client to the internal frontend IP' proves only the tested behavior and cannot eliminate every dependent failure. The specific remaining limitation is: An internal load balancer does not itself encrypt backend traffic or guarantee regional disaster recovery.
An Azure administrator must resolve a specific request: A load-balanced API shows one backend as healthy even though its application listener has stopped responding. The expected outcome is: configure a representative probe that tests the actual served port and health endpoint. Which option is appropriate?
Health probes inform whether a backend should receive new connections; they must align with the workload's real readiness. This achieves configure a representative probe that tests the actual served port and health endpoint through use a correctly targeted TCP or HTTP(S) health probe with suitable thresholds and backend reachability instead of relying on merely similar resource settings.
Names do not control listener health; that would not meet configure a representative probe that tests the actual served port and health endpoint, for which the relevant Azure action is use a correctly targeted TCP or HTTP(S) health probe with suitable thresholds and backend reachability.
Without correct health information, unhealthy instances may keep receiving connections; that would not meet configure a representative probe that tests the actual served port and health endpoint, for which the relevant Azure action is use a correctly targeted TCP or HTTP(S) health probe with suitable thresholds and backend reachability.
An open management port does not establish application health; that would not meet configure a representative probe that tests the actual served port and health endpoint, for which the relevant Azure action is use a correctly targeted TCP or HTTP(S) health probe with suitable thresholds and backend reachability.
Operations sees an unexpected outcome: The load balancer sends new sessions to a VM whose API service is not accepting the intended port. The original demand was: configure a representative probe that tests the actual served port and health endpoint. Which cause is most consistent with the evidence?
The trace reports: The load balancer sends new sessions to a VM whose API service is not accepting the intended port. The causal misconfiguration is: The health probe uses the wrong endpoint or is too permissive to detect application failure. The targeted action is to configure a relevant port/path health probe and ensure backend NSGs permit probe traffic.
The domain delegation or published record set does not match the authoritative public Azure DNS zone; that mechanism would be more consistent with an observation such as external resolvers report NXDOMAIN even though the team added an A record in an Azure zone, rather than this case's the load balancer sends new sessions to a VM whose API service is not accepting the intended port.
The private DNS VNet link or required A record was never created or is incorrect; that mechanism would be more consistent with an observation such as a VM in the intended VNet cannot resolve inventory.internal.example despite the private zone existing, rather than this case's the load balancer sends new sessions to a VM whose API service is not accepting the intended port.
The public frontend, load-balancing rule or healthy backend pool is incomplete; that mechanism would be more consistent with an observation such as external clients reach one VM directly but the intended public load balancer IP does not accept requests, rather than this case's the load balancer sends new sessions to a VM whose API service is not accepting the intended port.
A service owner needs a practical fix after this failure: The load balancer sends new sessions to a VM whose API service is not accepting the intended port. What is the best remediation?
Configure a relevant port/path health probe and ensure backend NSGs permit probe traffic. This addresses the documented failure condition: the health probe uses the wrong endpoint or is too permissive to detect application failure. Retest the affected operation and retain the original least-privilege boundaries.
Names do not control listener health. In the reported incident (the load balancer sends new sessions to a VM whose API service is not accepting the intended port), that change would not correct the cause: the health probe uses the wrong endpoint or is too permissive to detect application failure.
Without correct health information, unhealthy instances may keep receiving connections. In the reported incident (the load balancer sends new sessions to a VM whose API service is not accepting the intended port), that change would not correct the cause: the health probe uses the wrong endpoint or is too permissive to detect application failure.
An open management port does not establish application health. In the reported incident (the load balancer sends new sessions to a VM whose API service is not accepting the intended port), that change would not correct the cause: the health probe uses the wrong endpoint or is too permissive to detect application failure.
A deployment claims to meet: configure a representative probe that tests the actual served port and health endpoint. The environment is: A load-balanced API shows one backend as healthy even though its application listener has stopped responding. Which TWO test results would substantiate that claim? Select TWO answers.
Restart the listener and verify the instance returns to the backend set. This provides direct evidence on actual frontend, backend and client connection rather than relying on a resource name or a presumed configuration. Its coverage is distinct from the separate check to stop the test application listener and confirm the backend becomes unhealthy: both are necessary to support configure a representative probe that tests the actual served port and health endpoint.
Stop the test application listener and confirm the backend becomes unhealthy. This provides direct evidence on actual frontend, backend and client connection rather than relying on a resource name or a presumed configuration. Its coverage is distinct from the separate check to restart the listener and verify the instance returns to the backend set: both are necessary to support configure a representative probe that tests the actual served port and health endpoint.
A management-port probe can remain healthy during an application outage. The probe must match the served listener or readiness endpoint.
A configured probe does not prove that it detects the stated failure. Stop the listener and observe backend removal.
Healthy-path success does not exercise detection of a failed application. The acceptance sequence needs both the unhealthy transition and recovery.
An infrastructure design was selected to meet: configure a representative probe that tests the actual served port and health endpoint. What caveat remains relevant during operation?
A simple TCP probe may be green while deeper application dependencies fail; choose readiness criteria deliberately. That remains a practical service boundary even after the recommended change (use a correctly targeted TCP or HTTP(S) health probe with suitable thresholds and backend reachability) is implemented; retest it when identities, policies, service capacity or network paths change.
The incident (the load balancer sends new sessions to a VM whose API service is not accepting the intended port) could recur if a related Azure dependency changes. The design still faces the limitation: A simple TCP probe may be green while deeper application dependencies fail; choose readiness criteria deliberately.
The successful check 'Restart the listener and verify the instance returns to the backend set' proves only the tested behavior and cannot eliminate every dependent failure. The specific remaining limitation is: A simple TCP probe may be green while deeper application dependencies fail; choose readiness criteria deliberately.
The two checks cover separate behavior: 'Restart the listener and verify the instance returns to the backend set' and 'Stop the test application listener and confirm the backend becomes unhealthy'. Neither check removes the remaining operational limitation: A simple TCP probe may be green while deeper application dependencies fail; choose readiness criteria deliberately.
A production subscription has this use case: A production API must balance publicly arriving TCP traffic over three healthy Azure VMs. The owner specifies: use a regional public load balancer frontend and distribute network-level connections to the backend pool. What is the best administrative approach?
Azure Load Balancer distributes Layer 4 traffic according to configured frontend, backend and health state. This achieves use a regional public load balancer frontend and distribute network-level connections to the backend pool through configure an Azure public Load Balancer with a public IP frontend, backend pool, health probe and TCP rule instead of relying on merely similar resource settings.
An internal frontend uses private addressing, not direct public access; that would not meet use a regional public load balancer frontend and distribute network-level connections to the backend pool, for which the relevant Azure action is configure an Azure public Load Balancer with a public IP frontend, backend pool, health probe and TCP rule.
DNS round robin is not a load balancer health-probe policy; that would not meet use a regional public load balancer frontend and distribute network-level connections to the backend pool, for which the relevant Azure action is configure an Azure public Load Balancer with a public IP frontend, backend pool, health probe and TCP rule.
Duplicate private IPs cause conflicts and do not implement balancing; that would not meet use a regional public load balancer frontend and distribute network-level connections to the backend pool, for which the relevant Azure action is configure an Azure public Load Balancer with a public IP frontend, backend pool, health probe and TCP rule.
An Azure administrator is investigating this symptom: External clients reach one VM directly but the intended public load balancer IP does not accept requests. Which root cause best matches the underlying requirement: use a regional public load balancer frontend and distribute network-level connections to the backend pool?
The trace reports: External clients reach one VM directly but the intended public load balancer IP does not accept requests. The causal misconfiguration is: The public frontend, load-balancing rule or healthy backend pool is incomplete. The targeted action is to configure the public frontend and valid TCP rule/probe/backend pool association.
The proposed mechanism concerns the published load-balancer IP already serves the required port through healthy backend members, while direct VM access is blocked, which is not established by the observed external clients reach one VM directly but the intended public load balancer IP does not accept requests. Test the more directly supported condition: The public frontend, load-balancing rule or healthy backend pool is incomplete.
The domain delegation or published record set does not match the authoritative public Azure DNS zone; that mechanism would be more consistent with an observation such as external resolvers report NXDOMAIN even though the team added an A record in an Azure zone, rather than this case's external clients reach one VM directly but the intended public load balancer IP does not accept requests.
The frontend was configured as a public load balancer or backend public IP exposure remains open; that mechanism would be more consistent with an observation such as external clients can connect to the proxy, contrary to the private-only requirement, rather than this case's external clients reach one VM directly but the intended public load balancer IP does not accept requests.
An Azure rollout fails because: External clients reach one VM directly but the intended public load balancer IP does not accept requests. Which change most directly restores the intended control?
Configure the public frontend and valid TCP rule/probe/backend pool association. This addresses the documented failure condition: the public frontend, load-balancing rule or healthy backend pool is incomplete. Retest the affected operation and retain the original least-privilege boundaries.
An internal frontend uses private addressing, not direct public access. In the reported incident (external clients reach one VM directly but the intended public load balancer IP does not accept requests), that change would not correct the cause: the public frontend, load-balancing rule or healthy backend pool is incomplete.
DNS round robin is not a load balancer health-probe policy. In the reported incident (external clients reach one VM directly but the intended public load balancer IP does not accept requests), that change would not correct the cause: the public frontend, load-balancing rule or healthy backend pool is incomplete.
Duplicate private IPs cause conflicts and do not implement balancing. In the reported incident (external clients reach one VM directly but the intended public load balancer IP does not accept requests), that change would not correct the cause: the public frontend, load-balancing rule or healthy backend pool is incomplete.
For the configuration goal, use a regional public load balancer frontend and distribute network-level connections to the backend pool. The Azure context is: A production API must balance publicly arriving TCP traffic over three healthy Azure VMs. Which TWO observations provide useful assurance? Select TWO answers.
Fail a disposable backend's health probe and confirm the service routes around it. This supplies observed evidence for use a regional public load balancer frontend and distribute network-level connections to the backend pool. It is not interchangeable with the second required check, connect to the public frontend on the defined TCP port and confirm responses, because that checks a separate success or failure boundary.
Connect to the public frontend on the defined TCP port and confirm responses. This supplies observed evidence for use a regional public load balancer frontend and distribute network-level connections to the backend pool. It is not interchangeable with the second required check, fail a disposable backend's health probe and confirm the service routes around it, because that checks a separate success or failure boundary.
A configured resource is not proof of live behavior. The required check must exercise fail a disposable backend's health probe and confirm the service routes around it on the affected Azure deployment.
A privileged administrator in a different subscription may succeed at 'Fail a disposable backend's health probe and confirm the service routes around it' even though the intended caller fails. This does not prove the required behavior for fail a disposable backend's health probe and confirm the service routes around it.
A release checklist recording 'Connect to the public frontend on the defined TCP port and confirm responses' is not evidence that the required operation actually succeeded or failed. To establish the correct result, the team must connect to the public frontend on the defined TCP port and confirm responses on the actual workload to prove its independent boundary.
A stakeholder asks whether the proposed configuration guarantees: use a regional public load balancer frontend and distribute network-level connections to the backend pool. What qualification is technically accurate?
Layer 4 balancing does not perform application-aware cookie routing or fix unhealthy application dependencies. That remains a practical service boundary even after the recommended change (configure an Azure public Load Balancer with a public IP frontend, backend pool, health probe and TCP rule) is implemented; retest it when identities, policies, service capacity or network paths change.
The successful check 'Fail a disposable backend's health probe and confirm the service routes around it' proves only the tested behavior and cannot eliminate every dependent failure. The specific remaining limitation is: Layer 4 balancing does not perform application-aware cookie routing or fix unhealthy application dependencies.
The two checks cover separate behavior: 'Fail a disposable backend's health probe and confirm the service routes around it' and 'Connect to the public frontend on the defined TCP port and confirm responses'. Neither check removes the remaining operational limitation: Layer 4 balancing does not perform application-aware cookie routing or fix unhealthy application dependencies.
The incident (external clients reach one VM directly but the intended public load balancer IP does not accept requests) could recur if a related Azure dependency changes. The design still faces the limitation: Layer 4 balancing does not perform application-aware cookie routing or fix unhealthy application dependencies.
or Guarantee your success by buying the full version which covers the full latest pool of questions. (606 Questions, Last Updated on Oct 25, 2026)
Please check your mailbox for a message from support@examlabs.com and follow the directions.
