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Microsoft AZ-400 Practice Test 59

Question 580

A release scripts a destructive column rename before the new API is validated and rollback becomes impossible. Choose TWO measures that implement and verify an effective Azure DevOps response to this specific situation. (Choose TWO.)

  1. Test both application versions against intermediate schema and rehearse rollback before removing obsolete columns.
  2. Dismiss the known risk for backward-compatible database schema deployment ordering and keep no evidence or accountable owner after deployment.
  3. Declare backward-compatible database schema deployment ordering successful solely from a green pipeline status and skip checking its actual control outcome.
  4. Bypass review and testing for backward-compatible database schema deployment ordering whenever the release deadline is urgent, applying the change to production immediately.
  5. Use expand-and-contract migration order to keep old and new client versions compatible through the deployment overlap.

Explanation

Correct Answers

A:

Test both application versions against intermediate schema and rehearse rollback before removing obsolete columns. Independent deployment stages may overlap in time, so schema compatibility must span both active application revisions.

E:

Use expand-and-contract migration order to keep old and new client versions compatible through the deployment overlap. Independent deployment stages may overlap in time, so schema compatibility must span both active application revisions. A destructive database edit can cause extended outage and prevent restoration of the last known good application.

Incorrect Answers

B:

Dismiss the known risk for backward-compatible database schema deployment ordering and keep no evidence or accountable owner after deployment. It conflicts with the stated operating condition: Independent deployment stages may overlap in time, so schema compatibility must span both active application revisions.

C:

Declare backward-compatible database schema deployment ordering successful solely from a green pipeline status and skip checking its actual control outcome. It conflicts with the stated operating condition: Independent deployment stages may overlap in time, so schema compatibility must span both active application revisions.

D:

Bypass review and testing for backward-compatible database schema deployment ordering whenever the release deadline is urgent, applying the change to production immediately. It conflicts with the stated operating condition: Independent deployment stages may overlap in time, so schema compatibility must span both active application revisions.

Question 581

A service updates its API before the downstream event consumer can understand newly required message fields. Which implementation BEST addresses the operational issue?

  1. Configure meaningful readiness probes and rollout maxSurge/maxUnavailable or equivalent service availability constraints.
  2. Connect representative application health checks and alarms to pipeline rollback or safe deployment halt decisions.
  3. Use expand-and-contract migration order to keep old and new client versions compatible through the deployment overlap.
  4. Model service deployment order and use backward-compatible API or message contracts with explicit readiness checks.

Explanation

Correct Answer

D:

Model service deployment order and use backward-compatible API or message contracts with explicit readiness checks. Deployment sequencing and contract compatibility protect distributed systems from partial version mismatches. Out-of-order services can fail customer transactions even when each component deploys successfully.

Incorrect Answers

A:

Configure meaningful readiness probes and rollout maxSurge/maxUnavailable or equivalent service availability constraints. That applies to aks readiness and rolling update capacity, not deployment dependencies and downstream api coordination.

B:

Connect representative application health checks and alarms to pipeline rollback or safe deployment halt decisions. That applies to rollback on failed health gates in azure release pipelines, not deployment dependencies and downstream api coordination.

C:

Use expand-and-contract migration order to keep old and new client versions compatible through the deployment overlap.

Question 582

A service updates its API before the downstream event consumer can understand newly required message fields. How should the team validate the intended result?

  1. Replay the end-to-end service path before and after staged component upgrades and record compatible versions.
  2. Simulate a failed dependency during rollout and confirm ready endpoints and capacity remain within service objectives.
  3. Test both application versions against intermediate schema and rehearse rollback before removing obsolete columns.
  4. Introduce a controlled bad revision and confirm the promotion stops and the prior healthy service is restored.

Explanation

Correct Answer

A:

Replay the end-to-end service path before and after staged component upgrades and record compatible versions. Deployment sequencing and contract compatibility protect distributed systems from partial version mismatches.

Incorrect Answers

B:

Simulate a failed dependency during rollout and confirm ready endpoints and capacity remain within service objectives. That applies to aks readiness and rolling update capacity, not deployment dependencies and downstream api coordination.

C:

Test both application versions against intermediate schema and rehearse rollback before removing obsolete columns. That applies to backward-compatible database schema deployment ordering, not deployment dependencies and downstream api coordination.

D:

Introduce a controlled bad revision and confirm the promotion stops and the prior healthy service is restored. That applies to rollback on failed health gates in azure release pipelines, not deployment dependencies and downstream api coordination.

Question 583

A service updates its API before the downstream event consumer can understand newly required message fields. What is the underlying reason the existing approach fails?

  1. Function deployment slots need correctly scoped runtime settings and bindings as well as versioned function code.
  2. Feature flags separate code deployment from feature availability and must still be governed as live configuration changes.
  3. Independent deployment stages may overlap in time, so schema compatibility must span both active application revisions.
  4. Deployment sequencing and contract compatibility protect distributed systems from partial version mismatches.

Explanation

Correct Answer

D:

Deployment sequencing and contract compatibility protect distributed systems from partial version mismatches. Out-of-order services can fail customer transactions even when each component deploys successfully.

Incorrect Answers

A:

Function deployment slots need correctly scoped runtime settings and bindings as well as versioned function code. That applies to azure functions deployment slots and settings isolation, not controlling principle for deployment dependencies and downstream api coordination.

B:

Feature flags separate code deployment from feature availability and must still be governed as live configuration changes. That applies to azure app configuration feature flags for independent rollout, not controlling principle for deployment dependencies and downstream api coordination.

C:

Independent deployment stages may overlap in time, so schema compatibility must span both active application revisions. That applies to backward-compatible database schema deployment ordering, not controlling principle for deployment dependencies and downstream api coordination.

Question 584

A service updates its API before the downstream event consumer can understand newly required message fields. Which recurring control most directly sustains the required behavior?

  1. Restrict tag changes and retain deployment digests and rollback images for supported releases.
  2. Review readiness gates, resource requests, and replica headroom after application startup changes.
  3. Maintain dependency maps and automated contract checks on relevant release changes.
  4. Review ring selection, alert thresholds, and rollback triggers after traffic and architecture changes.

Explanation

Correct Answer

C:

Maintain dependency maps and automated contract checks on relevant release changes. Out-of-order services can fail customer transactions even when each component deploys successfully.

Incorrect Answers

A:

Restrict tag changes and retain deployment digests and rollback images for supported releases. This helps sustain a control for acr image provenance and deployment by immutable digest; it does not directly stop recurrence of deployment dependencies and downstream api coordination described in this case.

B:

Review readiness gates, resource requests, and replica headroom after application startup changes. This helps sustain a control for aks readiness and rolling update capacity; it does not directly stop recurrence of deployment dependencies and downstream api coordination described in this case.

D:

Review ring selection, alert thresholds, and rollback triggers after traffic and architecture changes. This helps sustain a control for progressive canary and ring-based production exposure; it does not directly stop recurrence of deployment dependencies and downstream api coordination described in this case.

Question 585

A service updates its API before the downstream event consumer can understand newly required message fields. What is the MOST important consequence if this issue remains unresolved?

  1. An incorrect function slot configuration can process data in the wrong environment or break event handling.
  2. Mutable container references can replace verified software with an unknown image and compromise rollback.
  3. A destructive database edit can cause extended outage and prevent restoration of the last known good application.
  4. Out-of-order services can fail customer transactions even when each component deploys successfully.

Explanation

Correct Answer

D:

Out-of-order services can fail customer transactions even when each component deploys successfully. This is the directly relevant business or security consequence of deployment dependencies and downstream api coordination. Root cause: Deployment sequencing and contract compatibility protect distributed systems from partial version mismatches.

Incorrect Answers

A:

An incorrect function slot configuration can process data in the wrong environment or break event handling. That risk is relevant to azure functions deployment slots and settings isolation, but the specific unresolved condition here concerns deployment dependencies and downstream api coordination and has a different direct consequence.

B:

Mutable container references can replace verified software with an unknown image and compromise rollback. That risk is relevant to acr image provenance and deployment by immutable digest, but the specific unresolved condition here concerns deployment dependencies and downstream api coordination and has a different direct consequence.

C:

A destructive database edit can cause extended outage and prevent restoration of the last known good application. That risk is relevant to backward-compatible database schema deployment ordering, but the specific unresolved condition here concerns deployment dependencies and downstream api coordination and has a different direct consequence.

Question 586

A team deploys a front-end version that calls a new identity endpoint not yet available in the target region. Which solution should be prioritized to resolve the stated failure?

  1. Use expand-and-contract migration order to keep old and new client versions compatible through the deployment overlap.
  2. Connect representative application health checks and alarms to pipeline rollback or safe deployment halt decisions.
  3. Model service deployment order and use backward-compatible API or message contracts with explicit readiness checks.
  4. Configure meaningful readiness probes and rollout maxSurge/maxUnavailable or equivalent service availability constraints.

Explanation

Correct Answer

C:

Model service deployment order and use backward-compatible API or message contracts with explicit readiness checks. Deployment sequencing and contract compatibility protect distributed systems from partial version mismatches. Out-of-order services can fail customer transactions even when each component deploys successfully.

Incorrect Answers

A:

Use expand-and-contract migration order to keep old and new client versions compatible through the deployment overlap.

B:

Connect representative application health checks and alarms to pipeline rollback or safe deployment halt decisions. That applies to rollback on failed health gates in azure release pipelines, not deployment dependencies and downstream api coordination.

D:

Configure meaningful readiness probes and rollout maxSurge/maxUnavailable or equivalent service availability constraints. That applies to aks readiness and rolling update capacity, not deployment dependencies and downstream api coordination.

Question 587

A team deploys a front-end version that calls a new identity endpoint not yet available in the target region. Which evidence would BEST demonstrate that the fix operates as intended?

  1. Introduce a controlled bad revision and confirm the promotion stops and the prior healthy service is restored.
  2. Replay the end-to-end service path before and after staged component upgrades and record compatible versions.
  3. Test both application versions against intermediate schema and rehearse rollback before removing obsolete columns.
  4. Simulate a failed dependency during rollout and confirm ready endpoints and capacity remain within service objectives.

Explanation

Correct Answer

B:

Replay the end-to-end service path before and after staged component upgrades and record compatible versions. Deployment sequencing and contract compatibility protect distributed systems from partial version mismatches.

Incorrect Answers

A:

Introduce a controlled bad revision and confirm the promotion stops and the prior healthy service is restored. That applies to rollback on failed health gates in azure release pipelines, not deployment dependencies and downstream api coordination.

C:

Test both application versions against intermediate schema and rehearse rollback before removing obsolete columns. That applies to backward-compatible database schema deployment ordering, not deployment dependencies and downstream api coordination.

D:

Simulate a failed dependency during rollout and confirm ready endpoints and capacity remain within service objectives. That applies to aks readiness and rolling update capacity, not deployment dependencies and downstream api coordination.

Question 588

A team deploys a front-end version that calls a new identity endpoint not yet available in the target region. What is the underlying reason the existing approach fails?

  1. Feature flags separate code deployment from feature availability and must still be governed as live configuration changes.
  2. Deployment sequencing and contract compatibility protect distributed systems from partial version mismatches.
  3. Function deployment slots need correctly scoped runtime settings and bindings as well as versioned function code.
  4. Independent deployment stages may overlap in time, so schema compatibility must span both active application revisions.

Explanation

Correct Answer

B:

Deployment sequencing and contract compatibility protect distributed systems from partial version mismatches. Out-of-order services can fail customer transactions even when each component deploys successfully.

Incorrect Answers

A:

Feature flags separate code deployment from feature availability and must still be governed as live configuration changes. That applies to azure app configuration feature flags for independent rollout, not controlling principle for deployment dependencies and downstream api coordination.

C:

Function deployment slots need correctly scoped runtime settings and bindings as well as versioned function code. That applies to azure functions deployment slots and settings isolation, not controlling principle for deployment dependencies and downstream api coordination.

D:

Independent deployment stages may overlap in time, so schema compatibility must span both active application revisions. That applies to backward-compatible database schema deployment ordering, not controlling principle for deployment dependencies and downstream api coordination.

Question 589

A team deploys a front-end version that calls a new identity endpoint not yet available in the target region. Which recurring control most directly sustains the required behavior?

  1. Review readiness gates, resource requests, and replica headroom after application startup changes.
  2. Review ring selection, alert thresholds, and rollback triggers after traffic and architecture changes.
  3. Restrict tag changes and retain deployment digests and rollback images for supported releases.
  4. Maintain dependency maps and automated contract checks on relevant release changes.

Explanation

Correct Answer

D:

Maintain dependency maps and automated contract checks on relevant release changes. Out-of-order services can fail customer transactions even when each component deploys successfully.

Incorrect Answers

A:

Review readiness gates, resource requests, and replica headroom after application startup changes. This helps sustain a control for aks readiness and rolling update capacity; it does not directly stop recurrence of deployment dependencies and downstream api coordination described in this case.

B:

Review ring selection, alert thresholds, and rollback triggers after traffic and architecture changes. This helps sustain a control for progressive canary and ring-based production exposure; it does not directly stop recurrence of deployment dependencies and downstream api coordination described in this case.

C:

Restrict tag changes and retain deployment digests and rollback images for supported releases. This helps sustain a control for acr image provenance and deployment by immutable digest; it does not directly stop recurrence of deployment dependencies and downstream api coordination described in this case.

Question 590

A team deploys a front-end version that calls a new identity endpoint not yet available in the target region. What is the MOST important consequence if this issue remains unresolved?

  1. Mutable container references can replace verified software with an unknown image and compromise rollback.
  2. A destructive database edit can cause extended outage and prevent restoration of the last known good application.
  3. Out-of-order services can fail customer transactions even when each component deploys successfully.
  4. An incorrect function slot configuration can process data in the wrong environment or break event handling.

Explanation

Correct Answer

C:

Out-of-order services can fail customer transactions even when each component deploys successfully. This is the directly relevant business or security consequence of deployment dependencies and downstream api coordination. Root cause: Deployment sequencing and contract compatibility protect distributed systems from partial version mismatches.

Incorrect Answers

A:

Mutable container references can replace verified software with an unknown image and compromise rollback. That risk is relevant to acr image provenance and deployment by immutable digest, but the specific unresolved condition here concerns deployment dependencies and downstream api coordination and has a different direct consequence.

B:

A destructive database edit can cause extended outage and prevent restoration of the last known good application. That risk is relevant to backward-compatible database schema deployment ordering, but the specific unresolved condition here concerns deployment dependencies and downstream api coordination and has a different direct consequence.

D:

An incorrect function slot configuration can process data in the wrong environment or break event handling. That risk is relevant to azure functions deployment slots and settings isolation, but the specific unresolved condition here concerns deployment dependencies and downstream api coordination and has a different direct consequence.

Designing and Implementing Microsoft DevOps Solutions (AZ-400) Practice Tests

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