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SC-200 Premium File: 499 Questions & Answers

Last Update: Oct 30, 2026

SC-200 Training Course: 47 Video Lectures

SC-200 PDF Study Guide: 441 Pages

$79.99

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Microsoft SC-200 Practice Test 70

Question 690

An analyst views a threat analytics report and wants to know which related organizational alerts have occurred. Which action most directly addresses the observed condition?

  1. Hunt for the tool with suspicious command-line and network context.
  2. Use the report's linked incidents or indicators and pivot to local alerts.
  3. Explain coverage limits and validate detectors using appropriate test evidence.
  4. Compare campaign indicators and local vulnerability or network evidence to assess exposure.

Explanation

Correct Answer

B:

Related security telemetry can corroborate a campaign's observed impact. This directly addresses the requirement to correlate global intelligence with tenant incidents.

Incorrect Answers

A:

Behavior context is more discriminating than a filename alone. This addresses investigate dual-use campaign tooling; it does not directly satisfy correlate global intelligence with tenant incidents.

C:

Coverage summaries are not proof of complete protection against changing attacker behavior. That action focuses on communicate threat analytics uncertainty rather than the specified need to correlate global intelligence with tenant incidents.

D:

Campaign intelligence becomes operational when mapped to the tenant's assets. This addresses assess local relevance of a ransomware campaign; it does not directly satisfy correlate global intelligence with tenant incidents.

Question 691

A list of devices should include every asset even if no recent alert exists. What is the most appropriate next action for the analyst?

  1. Tighten join keys and reduce candidate events by time and event identity.
  2. Join compatible process and network tables on stable device/process keys.
  3. Use a leftouter join from device inventory to the alert summary.
  4. Use an inner join on the appropriate common device key.

Explanation

Correct Answer

C:

Leftouter joins preserve unmatched rows from the left input. This directly addresses the requirement to retain all devices in alert coverage report.

Incorrect Answers

A:

Broad many-to-many joins multiply records and may create false relationships. This addresses avoid false cross-event join expansion; it does not directly satisfy retain all devices in alert coverage report.

B:

A join correlates event streams using shared identifiers and qualified time context. Its intended use is to combine endpoint process and network evidence, whereas this case requires the analyst to retain all devices in alert coverage report.

D:

Inner joins keep matching keys from both datasets. This addresses locate devices with both independent signals; it does not directly satisfy retain all devices in alert coverage report.

Question 692

An analyst compares timestamp strings lexically instead of using datetime semantics. Which response best meets the security operations requirement?

  1. Group Boolean conditions explicitly with parentheses.
  2. Use the `>=` comparison on the numeric score.
  3. Use the strict `>` comparison on the aggregated failure count.
  4. Convert or use a typed datetime column before range comparisons.

Explanation

Correct Answer

D:

Datetime operators prevent misleading textual date ordering. This directly addresses the requirement to filter on actual event timestamps.

Incorrect Answers

A:

Predicate precedence affects which events satisfy the complete rule. This addresses correct KQL Boolean logic grouping; it does not directly satisfy filter on actual event timestamps.

B:

Greater-than-or-equal includes the lower threshold boundary. Its intended use is to implement an inclusive risk threshold, whereas this case requires the analyst to filter on actual event timestamps.

C:

Strict greater-than excludes the boundary value itself. That action focuses on implement an exact greater-than threshold rather than the specified need to filter on actual event timestamps.

Question 693

A threat hunter needs to inspect unusual operations performed in supported cloud applications. Which approach is best supported by the evidence?

  1. Query CloudAppEvents with application, account and activity fields.
  2. Query IdentityLogonEvents and related identity tables.
  3. Query the appropriate Entra service principal sign-in event table.
  4. Query DeviceInfo for endpoint properties and state.

Explanation

Correct Answer

A:

CloudAppEvents provides cloud application operation context when integrated. This directly addresses the requirement to hunt anomalous cloud application activity.

Incorrect Answers

B:

Identity sign-in telemetry covers supported domain and identity authentication. Its intended use is to hunt suspicious on-premises logons, whereas this case requires the analyst to hunt anomalous cloud application activity.

C:

Workload identity sign-ins differ from end-user interactive authentication records. That action focuses on investigate service principal authentication rather than the specified need to hunt anomalous cloud application activity.

D:

DeviceInfo describes devices rather than individual process or file actions. This addresses retrieve endpoint inventory information; it does not directly satisfy hunt anomalous cloud application activity.

Question 694

A graph visualization shows a shared VPN IP connecting many users and analysts infer all are compromised. Which action most directly addresses the observed condition?

  1. Filter graph evidence by the relevant incident interval and suspicious edge types.
  2. Validate stronger identity and event edges instead of treating a shared infrastructure link as compromise.
  3. Inspect graph account-device relationships and corroborate associated sign-in events.
  4. Build a supported hunting graph of observed entity relationships.

Explanation

Correct Answer

B:

Shared addresses are weak attribution signals without additional evidence. This directly addresses the requirement to avoid overinterpreting graph shared-IP edges.

Incorrect Answers

A:

Temporal scope reduces misleading historical associations. This addresses restrict blast-radius graph to attack activity; it does not directly satisfy avoid overinterpreting graph shared-IP edges.

C:

Entity linkage can reveal a suspected pivot identity across host clusters. That action focuses on identify a potential lateral-movement bridge account rather than the specified need to avoid overinterpreting graph shared-IP edges.

D:

Graph edges can show account-to-device and device-to-device links in an attack. This addresses map compromise blast radius; it does not directly satisfy avoid overinterpreting graph shared-IP edges.

Question 695

A PowerShell argument is base64 encoded and responders plan to match a plaintext keyword without decoding or other evidence. What is the most appropriate next action for the analyst?

  1. Use a controlled parse or extract expression on the command-line field.
  2. Parse the URL and group on the host component instead of the full string.
  3. Investigate the encoded payload safely before assuming a plaintext substring will match.
  4. Narrow the pattern and prefilter the source rows before regex evaluation.

Explanation

Correct Answer

C:

Encoded content is not reliably found by searching decoded words in raw text. This directly addresses the requirement to avoid plaintext-only encoded command hunting.

Incorrect Answers

A:

String parsing can isolate an argument value from semistructured text. This addresses extract a command-line destination; it does not directly satisfy avoid plaintext-only encoded command hunting.

B:

Host normalization reduces noise from differing query strings. Its intended use is to normalize malicious URL hostnames, whereas this case requires the analyst to avoid plaintext-only encoded command hunting.

D:

Cheap filters and bounded patterns improve query selectivity. This addresses optimize an expensive regex hunt; it does not directly satisfy avoid plaintext-only encoded command hunting.

Question 696

The analyst wants only devices that appear in both a suspicious-IP table and a malware-hash table. Which response best meets the security operations requirement?

  1. Join compatible process and network tables on stable device/process keys.
  2. Use a leftouter join from device inventory to the alert summary.
  3. Tighten join keys and reduce candidate events by time and event identity.
  4. Use an inner join on the appropriate common device key.

Explanation

Correct Answer

D:

Inner joins keep matching keys from both datasets. This directly addresses the requirement to locate devices with both independent signals.

Incorrect Answers

A:

A join correlates event streams using shared identifiers and qualified time context. This addresses combine endpoint process and network evidence; it does not directly satisfy locate devices with both independent signals.

B:

Leftouter joins preserve unmatched rows from the left input. Its intended use is to retain all devices in alert coverage report, whereas this case requires the analyst to locate devices with both independent signals.

C:

Broad many-to-many joins multiply records and may create false relationships. That action focuses on avoid false cross-event join expansion rather than the specified need to locate devices with both independent signals.

Question 697

The analyst must compare incident counts by calendar day across the same UTC reporting period. Which approach is best supported by the evidence?

  1. Use bin(TimeGenerated, 1d) after consistent timezone handling.
  2. Use summarize count() by bin(TimeGenerated, 5m) with the relevant entity.
  3. Remove unintended fine-grained grouping keys from summarize.
  4. Preserve Timestamp and order events without binning away chronology.

Explanation

Correct Answer

A:

Daily bins reduce events to comparable time intervals. This directly addresses the requirement to aggregate daily incident volumes.

Incorrect Answers

B:

Bin groups datetime values into fixed-size buckets suitable for trends. Its intended use is to build five-minute failure intervals, whereas this case requires the analyst to aggregate daily incident volumes.

C:

Extra grouping columns subdivide counts into separate buckets. That action focuses on correct oversegmented time aggregation rather than the specified need to aggregate daily incident volumes.

D:

Time aggregation trades fine event order for summaries. This addresses retain detailed process chronology; it does not directly satisfy aggregate daily incident volumes.

Question 698

An administrator needs device inventory details such as OS and onboarding state, not a specific process action. Which action most directly addresses the observed condition?

  1. Query CloudAppEvents with application, account and activity fields.
  2. Query DeviceInfo for endpoint properties and state.
  3. Query IdentityLogonEvents and related identity tables.
  4. Query the appropriate Entra service principal sign-in event table.

Explanation

Correct Answer

B:

DeviceInfo describes devices rather than individual process or file actions. This directly addresses the requirement to retrieve endpoint inventory information.

Incorrect Answers

A:

CloudAppEvents provides cloud application operation context when integrated. This addresses hunt anomalous cloud application activity; it does not directly satisfy retrieve endpoint inventory information.

C:

Identity sign-in telemetry covers supported domain and identity authentication. That action focuses on hunt suspicious on-premises logons rather than the specified need to retrieve endpoint inventory information.

D:

Workload identity sign-ins differ from end-user interactive authentication records. This addresses investigate service principal authentication; it does not directly satisfy retrieve endpoint inventory information.

Question 699

Security wants failed sign-ins from accounts absent from the approved service-account watchlist. What is the most appropriate next action for the analyst?

  1. Use a leftanti or appropriate set difference to find accounts missing from one side.
  2. Put the observed events on the left and approved identities on the right.
  3. Use a leftanti join against the approved account set.
  4. Use narrow approved exceptions while keeping other VPN activity in the hunt.

Explanation

Correct Answer

C:

Leftanti returns left-side records that have no matching key on the right. This directly addresses the requirement to identify unauthorized account activity.

Incorrect Answers

A:

Set differences expose unmatched identities between reference and observed records. This addresses detect mismatches between observed and expected accounts; it does not directly satisfy identify unauthorized account activity.

B:

Leftanti direction determines which unmatched records survive. Its intended use is to correct a reversed exclusion join, whereas this case requires the analyst to identify unauthorized account activity.

D:

Large exclusion lists can conceal real attacker sessions using the same egress. This addresses avoid broad VPN-based hunting blind spots; it does not directly satisfy identify unauthorized account activity.

Question 700

An event name can be upper or lower case but the analyst wants the same semantic match. Which response best meets the security operations requirement?

  1. Use a contains predicate against the hostname field.
  2. Use exact string equality against the identifier column.
  3. Use a suitable has token search on the normalized command text.
  4. Use the appropriate KQL case-insensitive matching operator.

Explanation

Correct Answer

D:

Case-insensitive comparison prevents variation in casing from hiding matching values. This directly addresses the requirement to normalize case sensitivity in a hunt.

Incorrect Answers

A:

Contains finds a sequence of characters inside larger strings. This addresses locate an embedded hostname substring; it does not directly satisfy normalize case sensitivity in a hunt.

B:

Equality compares the whole value instead of fuzzy word or substring content. Its intended use is to match one exact security identifier, whereas this case requires the analyst to normalize case sensitivity in a hunt.

C:

Has matches terms rather than arbitrary substrings when the token boundaries fit. That action focuses on find a complete command token rather than the specified need to normalize case sensitivity in a hunt.


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