Cisco 350-201 Practice Test 91
Question 900
For an original CBRCOR educational scenario, consider: An automation removes a suspicious firewall rule but cannot restore the prior policy when its threat intelligence verdict is overturned. Select THREE compatible elements: a proper correction, a targeted diagnostic and an acceptance result.
- Check: Replay false-positive and confirmed malicious cases and inspect approval, timeout, cancellation and rollback outputs.
- Change: Introduce confidence gates, human approval for disruptive actions, recorded decision provenance and supported rollback in the SOAR workflow.
- Result: Authorized urgent containment occurs while benign evidence does not trigger uncontrolled administrative changes.
- Result: New environments acquire intended telemetry and least-privilege access and repeated runs introduce no unexpected changes.
- Change: Validate status and media type before decoding an optional body, and follow documented headers for limits and continuation.
- Check: Run the script against a fixture with successes, failures, missing fields and nested JSON values and compare expected counts.
Explanation
Correct Answer
A:Orchestration can magnify an incorrect detector decision unless risky response actions are controlled and reversible. Acceptance: Authorized urgent containment occurs while benign evidence does not trigger uncontrolled administrative changes.
B:Orchestration can magnify an incorrect detector decision unless risky response actions are controlled and reversible. Evidence: Replay false-positive and confirmed malicious cases and inspect approval, timeout, cancellation and rollback outputs.
C:Orchestration can magnify an incorrect detector decision unless risky response actions are controlled and reversible. Required intervention: Introduce confidence gates, human approval for disruptive actions, recorded decision provenance and supported rollback in the SOAR workflow.
Incorrect Answers
D:Result: New environments acquire intended telemetry and least-privilege access and repeated runs introduce no unexpected changes. Orchestration can magnify an incorrect detector decision unless risky response actions are controlled and reversible.
E:Change: Validate status and media type before decoding an optional body, and follow documented headers for limits and continuation. Orchestration can magnify an incorrect detector decision unless risky response actions are controlled and reversible.
F:Check: Run the script against a fixture with successes, failures, missing fields and nested JSON values and compare expected counts. Orchestration can magnify an incorrect detector decision unless risky response actions are controlled and reversible.
Question 901
A SOC analyst is examining this cybersecurity operations situation: A SOC Python snippet counts authentication failures by raw line substring and accidentally includes successful events whose messages contain the word failure. A proposed shortcut is: Use arbitrary substring searches as proof of event types without inspecting parsed fields or control flow. What should the SOC analyst recommend as the narrowly scoped correction? Select ONE best answer.
- Quote variable expansions, validate paths, preserve logs and check command exit status before moving or deleting any evidence.
- Use arbitrary substring searches as proof of event types without inspecting parsed fields or control flow.
- Interpret authentication, authorization and resource-not-found status distinctly before remediating or escalating an API workflow.
- Trace the script's parsing, conditional logic and collection operations, using typed decoded event fields for reliable classification.
Explanation
Correct Answer
D:This targeted action addresses the observed security or operational control gap without discarding necessary controls. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
Incorrect Answers
A:Quote variable expansions, validate paths, preserve logs and check command exit status before moving or deleting any evidence. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
B:Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results. For this best change assessment, the shortcut changes or bypasses the necessary correctness, governance or operational boundary rather than correcting it.
C:Interpret authentication, authorization and resource-not-found status distinctly before remediating or escalating an API workflow. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
Question 902
A Cisco cybersecurity incident response review finds: A SOC Python snippet counts authentication failures by raw line substring and accidentally includes successful events whose messages contain the word failure. The team proposes: Trace the script's parsing, conditional logic and collection operations, using typed decoded event fields for reliable classification. Which engineering principle most strongly supports the recommended response? Select ONE best answer.
- Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
- Environment variables can configure execution but are not automatically confidential or guaranteed to be present.
- DevOps collaboration improves reliability when code, runbooks and operations telemetry describe the same reviewed deployment.
- Retries and pagination must preserve logical event identity or the SOAR case will be duplicated or incomplete.
Explanation
Correct Answer
A:Demonstrable success requires: Counts match source semantics and missing or malformed records receive explicit handling rather than silent misclassification. This principle explains the proposed technical approach, which is: Trace the script's parsing, conditional logic and collection operations, using typed decoded event fields for reliable classification.
Incorrect Answers
B:Environment variables can configure execution but are not automatically confidential or guaranteed to be present. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
C:DevOps collaboration improves reliability when code, runbooks and operations telemetry describe the same reviewed deployment. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
D:Retries and pagination must preserve logical event identity or the SOAR case will be duplicated or incomplete. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
Question 903
The SOC team has not yet approved changes. Current evidence indicates: A SOC Python snippet counts authentication failures by raw line substring and accidentally includes successful events whose messages contain the word failure. Which evidence best tests the technical diagnosis before approving a disruptive change? Select ONE best answer.
- Run the script against a fixture with successes, failures, missing fields and nested JSON values and compare expected counts.
- Inspect a prepared request, secret storage, error logging and a revoked-token negative test in a sandbox.
- Compare labeled outcomes and detection quality across representative source groups before automatic escalation.
- Compare parsed sample counts and fields for quoted CSV, nested JSON and namespaced XML reference records.
Explanation
Correct Answer
A:Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results. Confirm afterward that: Counts match source semantics and missing or malformed records receive explicit handling rather than silent misclassification.
Incorrect Answers
B:Inspect a prepared request, secret storage, error logging and a revoked-token negative test in a sandbox. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
C:Compare labeled outcomes and detection quality across representative source groups before automatic escalation. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
D:Compare parsed sample counts and fields for quoted CSV, nested JSON and namespaced XML reference records. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
Question 904
A candidate correction has been tested and the platform team requires a post-change acceptance check. Original problem: A SOC Python snippet counts authentication failures by raw line substring and accidentally includes successful events whose messages contain the word failure. The response owner needs positive and negative results and evidence that legitimate security and business workflows still function. Which acceptance result demonstrates correct security operations behavior without disrupting authorized workflows? Select ONE best answer.
- Automated routing uses evaluated confidence thresholds and uncertain high-impact actions receive analyst review.
- Operations and engineering can reproduce, diagnose and safely roll back the same release.
- Counts match source semantics and missing or malformed records receive explicit handling rather than silent misclassification.
- Credentials travel through encrypted channels and read-only enrichers cannot perform unapproved configuration writes.
Explanation
Correct Answer
C:Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results. The result must be validated using the documented device, service or access context.
Incorrect Answers
A:Automated routing uses evaluated confidence thresholds and uncertain high-impact actions receive analyst review. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
B:Operations and engineering can reproduce, diagnose and safely roll back the same release. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
D:Credentials travel through encrypted channels and read-only enrichers cannot perform unapproved configuration writes. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
Question 905
An implementation sign-off request identifies the following problem: A SOC Python snippet counts authentication failures by raw line substring and accidentally includes successful events whose messages contain the word failure. Which paired technical change and validation should close the implementation review? Select ONE best answer.
- Change: Honor documented payload limits, timeouts, idempotency and asynchronous action confirmation in automation clients. Verify: Test the supported batch threshold and a lost-response case while reconciling actual device action IDs and outcomes.
- Change: Trace the script's parsing, conditional logic and collection operations, using typed decoded event fields for reliable classification. Verify: Run the script against a fixture with successes, failures, missing fields and nested JSON values and compare expected counts.
- Change: Automate deterministic enrichment and routing while reserving ambiguous or high-impact decisions for evidence-based human approval. Verify: Measure repetitive analyst effort, validation accuracy, false-positive rate and impact for each proposed automated step.
- Change: Keep the original structured data feed for automation and render HTML only for human-facing presentation with appropriate escaping. Verify: Compare raw response content type, parser output and rendered report for one controlled incident record.
Explanation
Correct Answer
B:Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results. The change is successful only when: Counts match source semantics and missing or malformed records receive explicit handling rather than silent misclassification.
Incorrect Answers
A:Change: Honor documented payload limits, timeouts, idempotency and asynchronous action confirmation in automation clients. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
C:Change: Automate deterministic enrichment and routing while reserving ambiguous or high-impact decisions for evidence-based human approval. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
D:Change: Keep the original structured data feed for automation and render HTML only for human-facing presentation with appropriate escaping.
Question 906
A SOC analyst is examining this cybersecurity operations situation: A small analysis script groups source addresses but treats each JSON event as a string and cannot access the nested src_ip field. A proposed shortcut is: Use arbitrary substring searches as proof of event types without inspecting parsed fields or control flow. What should the SOC analyst recommend as the narrowly scoped correction? Select ONE best answer.
- Use arbitrary substring searches as proof of event types without inspecting parsed fields or control flow.
- Define desired collectors, roles and network policies in reviewed IaC with state, plans and idempotent convergence checks.
- Trace the script's parsing, conditional logic and collection operations, using typed decoded event fields for reliable classification.
- Use a SOAR case workflow that coordinates enrichments, decisions, tickets and authorized response actions with visible state and handoffs.
Explanation
Correct Answer
C:This targeted action addresses the observed security or operational control gap without discarding necessary controls. Applied case: A small analysis script groups source addresses but treats each JSON event as a string and cannot access the nested src_ip field.
Incorrect Answers
A:Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results. Applied case: A small analysis script groups source addresses but treats each JSON event as a string and cannot access the nested src_ip field.
B:Define desired collectors, roles and network policies in reviewed IaC with state, plans and idempotent convergence checks. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
D:Use a SOAR case workflow that coordinates enrichments, decisions, tickets and authorized response actions with visible state and handoffs. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
Question 907
A Cisco cybersecurity incident response review finds: A small analysis script groups source addresses but treats each JSON event as a string and cannot access the nested src_ip field. The team proposes: Trace the script's parsing, conditional logic and collection operations, using typed decoded event fields for reliable classification. Which engineering principle most strongly supports the recommended response? Select ONE best answer.
- Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
- Rate-limit responses describe client throughput constraints, not necessarily the security status of the queried artifact.
- Environment variables can configure execution but are not automatically confidential or guaranteed to be present.
- Network timeouts may hide a committed server action, while oversized requests can be rejected or partially processed.
Explanation
Correct Answer
A:Demonstrable success requires: Counts match source semantics and missing or malformed records receive explicit handling rather than silent misclassification. Applied case: A small analysis script groups source addresses but treats each JSON event as a string and cannot access the nested src_ip field.
Incorrect Answers
B:Rate-limit responses describe client throughput constraints, not necessarily the security status of the queried artifact. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
C:Environment variables can configure execution but are not automatically confidential or guaranteed to be present. A small analysis script groups source addresses but treats each JSON event as a string and cannot access the nested src_ip field.
D:Network timeouts may hide a committed server action, while oversized requests can be rejected or partially processed. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
Question 908
The SOC team has not yet approved changes. Current evidence indicates: A small analysis script groups source addresses but treats each JSON event as a string and cannot access the nested src_ip field. Which evidence best tests the technical diagnosis before approving a disruptive change? Select ONE best answer.
- Run the script against a fixture with successes, failures, missing fields and nested JSON values and compare expected counts.
- Compare labeled outcomes and detection quality across representative source groups before automatic escalation.
- Simulate 429 and timeouts against a mock enrichment provider and inspect retry intervals and result classification.
- Test TLS certificate validation and low-privilege access with intended reads and denied administrative operations.
Explanation
Correct Answer
A:Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results. This check tests the actual security, identity or operational boundary before an operationally risky response.
Incorrect Answers
B:Compare labeled outcomes and detection quality across representative source groups before automatic escalation. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
C:Simulate 429 and timeouts against a mock enrichment provider and inspect retry intervals and result classification. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
D:Test TLS certificate validation and low-privilege access with intended reads and denied administrative operations. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
Question 909
A candidate correction has been tested and the platform team requires a post-change acceptance check. Original problem: A small analysis script groups source addresses but treats each JSON event as a string and cannot access the nested src_ip field. The response owner needs positive and negative results and evidence that legitimate security and business workflows still function. Which acceptance result demonstrates correct security operations behavior without disrupting authorized workflows? Select ONE best answer.
- The workflow reduces toil without allowing uncertain classification to trigger unreviewed account or network disruption.
- Counts match source semantics and missing or malformed records receive explicit handling rather than silent misclassification.
- The client recognizes success without body content and retrieves all permitted paginated intelligence results.
- Only validated authorized indicators progress and no credentials appear in source files or logs.
Explanation
Correct Answer
B:Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results. The approved implementation step was: Trace the script's parsing, conditional logic and collection operations, using typed decoded event fields for reliable classification.
Incorrect Answers
A:The workflow reduces toil without allowing uncertain classification to trigger unreviewed account or network disruption. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
C:The client recognizes success without body content and retrieves all permitted paginated intelligence results. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
D:Only validated authorized indicators progress and no credentials appear in source files or logs. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
Question 910
For an original CBRCOR educational scenario, consider: A small analysis script groups source addresses but treats each JSON event as a string and cannot access the nested src_ip field. Select TWO complementary steps: the targeted correction and its strongest prechange validation.
- Check: Run the script against a fixture with successes, failures, missing fields and nested JSON values and compare expected counts.
- Change: Trace the script's parsing, conditional logic and collection operations, using typed decoded event fields for reliable classification.
- Change: Respect published quota and Retry-After behavior, use bounded backoff and distinguish lookup failure from indicator verdict.
- Use arbitrary substring searches as proof of event types without inspecting parsed fields or control flow.
- Check: Trace one rule change from commit to test results, approvals, artifact identity and observed production monitoring.
Explanation
Correct Answer
A:Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results. Acceptance: Counts match source semantics and missing or malformed records receive explicit handling rather than silent misclassification.
B:Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results. Evidence: Run the script against a fixture with successes, failures, missing fields and nested JSON values and compare expected counts.
Incorrect Answers
C:Change: Respect published quota and Retry-After behavior, use bounded backoff and distinguish lookup failure from indicator verdict. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
D:For this select two assessment, the shortcut changes or bypasses the necessary correctness, governance or operational boundary rather than correcting it. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
E:Check: Trace one rule change from commit to test results, approvals, artifact identity and observed production monitoring. Python data structures and Boolean conditions determine which events contribute to an analytic; ambiguous text matching changes results.
