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Exam Code: Certified Data Engineer Professional

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Databricks Certified Data Engineer Professional Practice Test 92

Question 910

An organization deploys one pipeline definition into test and production workspaces. The change record shows Separate target-specific deployment permissions by identity. The acceptance test concerns: A new team member should deploy to development but not production. Which outcome confirms it?

  1. Run details report the expected fiscal-month value
  2. Only required failed/downstream tasks rerun while upstream results are reused
  3. Development deploy succeeds while unauthorized production deploy is denied
  4. The pipeline blocks deployment after an intentionally failing test

Explanation

Correct Answer

C:

Development deploy succeeds while unauthorized production deploy is denied directly measures whether Separate target-specific deployment permissions by identity achieved the requirement “A new team member should deploy to development but not production.” It checks the operating result rather than just a configured resource name.

Incorrect Answers

A:

This signal belongs to the adjacent case “A job must receive the chosen fiscal month from CI pipeline inputs,” whose remedy is Pass a validated job parameter or task parameter at run time. The observed result for the present requirement is Development deploy succeeds while unauthorized production deploy is denied.

B:

Only required failed/downstream tasks rerun while upstream results are reused would demonstrate the separate action Use a supported repair run targeting failed tasks and dependencies, which addresses “A downstream task failed while upstream outputs are valid and should not be rerun unnecessarily.” It does not verify the requirement “A new team member should deploy to development but not production” following Separate target-specific deployment permissions by identity.

D:

That observation is a valid indicator for “A new bundle deployment should not reach production unless tests and validation pass” when using Make bundle deployment depend on automated test and bundle-validation stages. The scenario instead tests “A new team member should deploy to development but not production”; the relevant result is Development deploy succeeds while unauthorized production deploy is denied.

Question 911

A platform automation service manages resources in several Databricks workspaces. A scheduled release needs to solve this problem: A script needs to start an existing job and collect its run ID. What should the team implement?

  1. Call the supported Jobs run-now API or CLI command
  2. Use `databricks bundle deploy` with explicit target and credentials
  3. Move authentication to managed profiles and sanitize request/response logging
  4. Follow pagination tokens until all results have been retrieved

Explanation

Correct Answer

A:

For this scenario, Call the supported Jobs run-now API or CLI command implements the behavior required by “A script needs to start an existing job and collect its run ID.” Check the resulting state against: The response returns a new job run ID that can be monitored.

Incorrect Answers

B:

Use `databricks bundle deploy` with explicit target and credentials belongs to the separate case “A CI workflow must deploy resource definitions across an approved target workspace,” where Deployed resources appear only in the intended workspace would be expected. That differs from the condition in this stem: “A script needs to start an existing job and collect its run ID.”

C:

Move authentication to managed profiles and sanitize request/response logging is appropriate when “A script logs access tokens during API debugging”; it would be verified by No token appears in logs and authenticated requests still succeed. It does not directly satisfy “A script needs to start an existing job and collect its run ID,” whose relevant acceptance evidence is The response returns a new job run ID that can be monitored.

D:

This action solves a different issue: “A script lists many jobs and silently misses results beyond one API page.” Its normal signal is The collected job count matches the complete paginated inventory. Here the requested behavior is “A script needs to start an existing job and collect its run ID,” so that signal is not sufficient.

Question 912

A platform automation service manages resources in several Databricks workspaces. A production deployment uses Call the supported Jobs run-now API or CLI command to address: A script needs to start an existing job and collect its run ID. Which signal should QA check?

  1. No token appears in logs and authenticated requests still succeed
  2. Deployed resources appear only in the intended workspace
  3. Run details include task states and failure messages
  4. The response returns a new job run ID that can be monitored

Explanation

Correct Answer

D:

The team used Call the supported Jobs run-now API or CLI command to fulfill “A script needs to start an existing job and collect its run ID.” Observing The response returns a new job run ID that can be monitored confirms the intended effect in the resulting workload.

Incorrect Answers

A:

No token appears in logs and authenticated requests still succeed would demonstrate the separate action Move authentication to managed profiles and sanitize request/response logging, which addresses “A script logs access tokens during API debugging.” It does not verify the requirement “A script needs to start an existing job and collect its run ID” following Call the supported Jobs run-now API or CLI command.

B:

Deployed resources appear only in the intended workspace pertains to a different control (Use `databricks bundle deploy` with explicit target and credentials) and a different need (A CI workflow must deploy resource definitions across an approved target workspace). It cannot establish that Call the supported Jobs run-now API or CLI command met the stated goal.

C:

That observation is a valid indicator for “An operator needs to inspect details of a failed run automatically” when using Use supported Jobs get-run API or CLI command. The scenario instead tests “A script needs to start an existing job and collect its run ID”; the relevant result is The response returns a new job run ID that can be monitored.

Question 913

A platform automation service manages resources in several Databricks workspaces. A scheduled release needs to solve this problem: An operator needs to inspect details of a failed run automatically. What should the team implement?

  1. Use supported Jobs get-run API or CLI command
  2. Use `databricks bundle deploy` with explicit target and credentials
  3. Follow pagination tokens until all results have been retrieved
  4. Move authentication to managed profiles and sanitize request/response logging

Explanation

Correct Answer

A:

The requested outcome is “An operator needs to inspect details of a failed run automatically.” Use supported Jobs get-run API or CLI command is the matching action; Run details include task states and failure messages gives observable acceptance evidence.

Incorrect Answers

B:

Use `databricks bundle deploy` with explicit target and credentials is appropriate when “A CI workflow must deploy resource definitions across an approved target workspace”; it would be verified by Deployed resources appear only in the intended workspace. It does not directly satisfy “An operator needs to inspect details of a failed run automatically,” whose relevant acceptance evidence is Run details include task states and failure messages.

C:

The alternative Follow pagination tokens until all results have been retrieved has a distinct purpose—A script lists many jobs and silently misses results beyond one API page. It would not establish the required outcome (An operator needs to inspect details of a failed run automatically); the necessary verification concerns Run details include task states and failure messages.

D:

The alternative Move authentication to managed profiles and sanitize request/response logging has a distinct purpose—A script logs access tokens during API debugging. It would not establish the required outcome (An operator needs to inspect details of a failed run automatically); the necessary verification concerns Run details include task states and failure messages.

Question 914

A platform automation service manages resources in several Databricks workspaces. Engineers have applied Use supported Jobs get-run API or CLI command. Which result establishes the required behavior: An operator needs to inspect details of a failed run automatically?

  1. The collected job count matches the complete paginated inventory
  2. Run details include task states and failure messages
  3. Deployed resources appear only in the intended workspace
  4. The response returns a new job run ID that can be monitored

Explanation

Correct Answer

B:

The team used Use supported Jobs get-run API or CLI command to fulfill “An operator needs to inspect details of a failed run automatically.” Observing Run details include task states and failure messages confirms the intended effect in the resulting workload.

Incorrect Answers

A:

That observation is a valid indicator for “A script lists many jobs and silently misses results beyond one API page” when using Follow pagination tokens until all results have been retrieved. The scenario instead tests “An operator needs to inspect details of a failed run automatically”; the relevant result is Run details include task states and failure messages.

C:

This signal belongs to the adjacent case “A CI workflow must deploy resource definitions across an approved target workspace,” whose remedy is Use `databricks bundle deploy` with explicit target and credentials. The observed result for the present requirement is Run details include task states and failure messages.

D:

The response returns a new job run ID that can be monitored would demonstrate the separate action Call the supported Jobs run-now API or CLI command, which addresses “A script needs to start an existing job and collect its run ID.” It does not verify the requirement “An operator needs to inspect details of a failed run automatically” following Use supported Jobs get-run API or CLI command.

Question 915

A platform automation service manages resources in several Databricks workspaces. Production acceptance depends on this condition: A CI workflow must deploy resource definitions across an approved target workspace. What should the engineer configure?

  1. Move authentication to managed profiles and sanitize request/response logging
  2. Use `databricks bundle deploy` with explicit target and credentials
  3. Use supported Jobs get-run API or CLI command
  4. Follow pagination tokens until all results have been retrieved

Explanation

Correct Answer

B:

The requested outcome is “A CI workflow must deploy resource definitions across an approved target workspace.” Use `databricks bundle deploy` with explicit target and credentials is the matching action; Deployed resources appear only in the intended workspace gives observable acceptance evidence.

Incorrect Answers

A:

Move authentication to managed profiles and sanitize request/response logging is appropriate when “A script logs access tokens during API debugging”; it would be verified by No token appears in logs and authenticated requests still succeed. It does not directly satisfy “A CI workflow must deploy resource definitions across an approved target workspace,” whose relevant acceptance evidence is Deployed resources appear only in the intended workspace.

C:

Use supported Jobs get-run API or CLI command is appropriate when “An operator needs to inspect details of a failed run automatically”; it would be verified by Run details include task states and failure messages. It does not directly satisfy “A CI workflow must deploy resource definitions across an approved target workspace,” whose relevant acceptance evidence is Deployed resources appear only in the intended workspace.

D:

Follow pagination tokens until all results have been retrieved belongs to the separate case “A script lists many jobs and silently misses results beyond one API page,” where The collected job count matches the complete paginated inventory would be expected. That differs from the condition in this stem: “A CI workflow must deploy resource definitions across an approved target workspace.”

Question 916

A platform automation service manages resources in several Databricks workspaces. The team implements Use `databricks bundle deploy` with explicit target and credentials. The goal was: A CI workflow must deploy resource definitions across an approved target workspace. Which observed result best verifies success?

  1. Deployed resources appear only in the intended workspace
  2. Run details include task states and failure messages
  3. No token appears in logs and authenticated requests still succeed
  4. The collected job count matches the complete paginated inventory

Explanation

Correct Answer

A:

The team used Use `databricks bundle deploy` with explicit target and credentials to fulfill “A CI workflow must deploy resource definitions across an approved target workspace.” Observing Deployed resources appear only in the intended workspace confirms the intended effect in the resulting workload.

Incorrect Answers

B:

Run details include task states and failure messages would demonstrate the separate action Use supported Jobs get-run API or CLI command, which addresses “An operator needs to inspect details of a failed run automatically.” It does not verify the requirement “A CI workflow must deploy resource definitions across an approved target workspace” following Use `databricks bundle deploy` with explicit target and credentials.

C:

That observation is a valid indicator for “A script logs access tokens during API debugging” when using Move authentication to managed profiles and sanitize request/response logging. The scenario instead tests “A CI workflow must deploy resource definitions across an approved target workspace”; the relevant result is Deployed resources appear only in the intended workspace.

D:

This signal belongs to the adjacent case “A script lists many jobs and silently misses results beyond one API page,” whose remedy is Follow pagination tokens until all results have been retrieved. The observed result for the present requirement is Deployed resources appear only in the intended workspace.

Question 917

A platform automation service manages resources in several Databricks workspaces. An incident review prioritizes one requirement: A script lists many jobs and silently misses results beyond one API page. What is the most defensible remedy?

  1. Use supported Jobs get-run API or CLI command
  2. Call the supported Jobs run-now API or CLI command
  3. Use `databricks bundle deploy` with explicit target and credentials
  4. Follow pagination tokens until all results have been retrieved

Explanation

Correct Answer

D:

For this scenario, Follow pagination tokens until all results have been retrieved implements the behavior required by “A script lists many jobs and silently misses results beyond one API page.” Check the resulting state against: The collected job count matches the complete paginated inventory.

Incorrect Answers

A:

Use supported Jobs get-run API or CLI command belongs to the separate case “An operator needs to inspect details of a failed run automatically,” where Run details include task states and failure messages would be expected. That differs from the condition in this stem: “A script lists many jobs and silently misses results beyond one API page.”

B:

The alternative Call the supported Jobs run-now API or CLI command has a distinct purpose—A script needs to start an existing job and collect its run ID. It would not establish the required outcome (A script lists many jobs and silently misses results beyond one API page); the necessary verification concerns The collected job count matches the complete paginated inventory.

C:

Use `databricks bundle deploy` with explicit target and credentials is appropriate when “A CI workflow must deploy resource definitions across an approved target workspace”; it would be verified by Deployed resources appear only in the intended workspace. It does not directly satisfy “A script lists many jobs and silently misses results beyond one API page,” whose relevant acceptance evidence is The collected job count matches the complete paginated inventory.

Question 918

A platform automation service manages resources in several Databricks workspaces. A reviewer sees that engineers chose Follow pagination tokens until all results have been retrieved. To verify A script lists many jobs and silently misses results beyond one API page, what should the reviewer observe?

  1. Run details include task states and failure messages
  2. The collected job count matches the complete paginated inventory
  3. Deployed resources appear only in the intended workspace
  4. No token appears in logs and authenticated requests still succeed

Explanation

Correct Answer

B:

The collected job count matches the complete paginated inventory is the matching outcome for the implemented control (Follow pagination tokens until all results have been retrieved) and the stated requirement “A script lists many jobs and silently misses results beyond one API page.”

Incorrect Answers

A:

That observation is a valid indicator for “An operator needs to inspect details of a failed run automatically” when using Use supported Jobs get-run API or CLI command. The scenario instead tests “A script lists many jobs and silently misses results beyond one API page”; the relevant result is The collected job count matches the complete paginated inventory.

C:

That observation is a valid indicator for “A CI workflow must deploy resource definitions across an approved target workspace” when using Use `databricks bundle deploy` with explicit target and credentials. The scenario instead tests “A script lists many jobs and silently misses results beyond one API page”; the relevant result is The collected job count matches the complete paginated inventory.

D:

No token appears in logs and authenticated requests still succeed pertains to a different control (Move authentication to managed profiles and sanitize request/response logging) and a different need (A script logs access tokens during API debugging). It cannot establish that Follow pagination tokens until all results have been retrieved met the stated goal.

Question 919

A platform automation service manages resources in several Databricks workspaces. Production acceptance depends on this condition: A script logs access tokens during API debugging. What should the engineer configure?

  1. Use supported Jobs get-run API or CLI command
  2. Move authentication to managed profiles and sanitize request/response logging
  3. Use `databricks bundle deploy` with explicit target and credentials
  4. Call the supported Jobs run-now API or CLI command

Explanation

Correct Answer

B:

For this scenario, Move authentication to managed profiles and sanitize request/response logging implements the behavior required by “A script logs access tokens during API debugging.” Check the resulting state against: No token appears in logs and authenticated requests still succeed.

Incorrect Answers

A:

Use supported Jobs get-run API or CLI command belongs to the separate case “An operator needs to inspect details of a failed run automatically,” where Run details include task states and failure messages would be expected. That differs from the condition in this stem: “A script logs access tokens during API debugging.”

C:

Use `databricks bundle deploy` with explicit target and credentials belongs to the separate case “A CI workflow must deploy resource definitions across an approved target workspace,” where Deployed resources appear only in the intended workspace would be expected. That differs from the condition in this stem: “A script logs access tokens during API debugging.”

D:

Call the supported Jobs run-now API or CLI command belongs to the separate case “A script needs to start an existing job and collect its run ID,” where The response returns a new job run ID that can be monitored would be expected. That differs from the condition in this stem: “A script logs access tokens during API debugging.”

Question 920

A platform automation service manages resources in several Databricks workspaces. After configuring Move authentication to managed profiles and sanitize request/response logging, the engineer must validate: A script logs access tokens during API debugging. What evidence is decisive?

  1. The response returns a new job run ID that can be monitored
  2. The collected job count matches the complete paginated inventory
  3. No token appears in logs and authenticated requests still succeed
  4. Run details include task states and failure messages

Explanation

Correct Answer

C:

No token appears in logs and authenticated requests still succeed directly measures whether Move authentication to managed profiles and sanitize request/response logging achieved the requirement “A script logs access tokens during API debugging.” It checks the operating result rather than just a configured resource name.

Incorrect Answers

A:

This signal belongs to the adjacent case “A script needs to start an existing job and collect its run ID,” whose remedy is Call the supported Jobs run-now API or CLI command. The observed result for the present requirement is No token appears in logs and authenticated requests still succeed.

B:

The collected job count matches the complete paginated inventory would demonstrate the separate action Follow pagination tokens until all results have been retrieved, which addresses “A script lists many jobs and silently misses results beyond one API page.” It does not verify the requirement “A script logs access tokens during API debugging” following Move authentication to managed profiles and sanitize request/response logging.

D:

Run details include task states and failure messages would demonstrate the separate action Use supported Jobs get-run API or CLI command, which addresses “An operator needs to inspect details of a failed run automatically.” It does not verify the requirement “A script logs access tokens during API debugging” following Move authentication to managed profiles and sanitize request/response logging.