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Microsoft DP-700 Bundle

Exam Code: DP-700

Exam Name Implementing Data Engineering Solutions Using Microsoft Fabric

Certification Provider: Microsoft

Corresponding Certification: Microsoft Certified: Fabric Data Engineer Associate

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Microsoft DP-700 Practice Test 44

Question 430

An analytics organization transforms data using both Spark and T-SQL. The current environment exhibits the following problem: a simple visual cleanup could be maintained by business analysts. Which technical choice fits this evidence?

  1. Use Spark DataFrame operations for flexible semi-structured transformation
  2. Query the Eventhouse KQL database instead of forcing the workload into T-SQL
  3. Consider Dataflow Gen2 rather than unnecessary bespoke Spark code
  4. Move Delta writes to supported Spark or OneLake-based engines

Explanation

Correct Answer

C:

Consider Dataflow Gen2 rather than unnecessary bespoke Spark code. Tool selection should match complexity and maintainership.

Incorrect Answers

A:

A complex source JSON document needs nested array restructuring. Distributed Spark handles nested file-oriented data at scale.

B:

An analyst needs KQL time-series summarize across native events. KQL is designed for time-series event analytics.

D:

A developer uses SQL endpoint UPDATE against Lakehouse Delta and gets unsupported-write errors. SQL analytics endpoint is not a general Lakehouse DML interface.

Question 431

A source feed contains unreliable business identifiers and reference values. An acceptance test shows that two vendors reuse the same transaction ID format and collide in a shared table. Which option directly handles this observed condition?

  1. Deduplicate at the business-key grain rather than by filename
  2. Recompute affected aggregate groups or apply accurate change deltas
  3. Reject or quarantine invalid required measures before aggregation
  4. Include source-system identity in the canonical business key

Explanation

Correct Answer

D:

Include source-system identity in the canonical business key. Identifiers can be unique only within their original system.

Incorrect Answers

A:

A duplicated invoice is emitted with a different file name but the same source ID. File identity isn't proof of distinct business events.

B:

Updates arrive after data was already aggregated into gold. Gold summaries must reflect corrected input facts.

C:

A source sends null invoice totals that cannot be interpreted as zero. Missing values are not automatically zero.

Question 432

A source feed contains unreliable business identifiers and reference values. The engineer has established the following constraint: a duplicated invoice is emitted with a different file name but the same source ID. What is the most defensible next action?

  1. Reject or quarantine invalid required measures before aggregation
  2. Recompute affected aggregate groups or apply accurate change deltas
  3. Include source-system identity in the canonical business key
  4. Deduplicate at the business-key grain rather than by filename

Explanation

Correct Answer

D:

Deduplicate at the business-key grain rather than by filename. File identity isn't proof of distinct business events.

Incorrect Answers

A:

A source sends null invoice totals that cannot be interpreted as zero. Missing values are not automatically zero.

B:

Updates arrive after data was already aggregated into gold. Gold summaries must reflect corrected input facts.

C:

Two vendors reuse the same transaction ID format and collide in a shared table. Identifiers can be unique only within their original system.

Question 433

A source feed contains unreliable business identifiers and reference values. During an operations handoff, engineers find that country codes arrive in varying lengths and cases. Which technical choice fits this evidence?

  1. Include source-system identity in the canonical business key
  2. Reject or quarantine invalid required measures before aggregation
  3. Recompute affected aggregate groups or apply accurate change deltas
  4. Normalize against an approved country reference table

Explanation

Correct Answer

D:

Normalize against an approved country reference table. Reference integrity requires consistent canonical values.

Incorrect Answers

A:

Two vendors reuse the same transaction ID format and collide in a shared table. Identifiers can be unique only within their original system.

B:

A source sends null invoice totals that cannot be interpreted as zero. Missing values are not automatically zero.

C:

Updates arrive after data was already aggregated into gold. Gold summaries must reflect corrected input facts.

Question 434

A source feed contains unreliable business identifiers and reference values. The team observes that a source sends null invoice totals that cannot be interpreted as zero. Which step preserves the intended data behavior?

  1. Recompute affected aggregate groups or apply accurate change deltas
  2. Normalize against an approved country reference table
  3. Reject or quarantine invalid required measures before aggregation
  4. Deduplicate at the business-key grain rather than by filename

Explanation

Correct Answer

C:

Reject or quarantine invalid required measures before aggregation. Missing values are not automatically zero.

Incorrect Answers

A:

Updates arrive after data was already aggregated into gold. Gold summaries must reflect corrected input facts.

B:

Country codes arrive in varying lengths and cases. Reference integrity requires consistent canonical values.

D:

A duplicated invoice is emitted with a different file name but the same source ID. File identity isn't proof of distinct business events.

Question 435

A source feed contains unreliable business identifiers and reference values. The implementation review confirms that updates arrive after data was already aggregated into gold. Which change most directly resolves this failure?

  1. Include source-system identity in the canonical business key
  2. Reject or quarantine invalid required measures before aggregation
  3. Normalize against an approved country reference table
  4. Recompute affected aggregate groups or apply accurate change deltas

Explanation

Correct Answer

D:

Recompute affected aggregate groups or apply accurate change deltas. Gold summaries must reflect corrected input facts.

Incorrect Answers

A:

Two vendors reuse the same transaction ID format and collide in a shared table. Identifiers can be unique only within their original system.

B:

A source sends null invoice totals that cannot be interpreted as zero. Missing values are not automatically zero.

C:

Country codes arrive in varying lengths and cases. Reference integrity requires consistent canonical values.

Question 436

An engineering pipeline publishes trusted data from a third-party SaaS API. A scheduled execution exposes this issue: the REST API is paginated but the load retrieves only its first page. Which change most directly resolves this failure?

  1. Implement validated schema-drift handling with default or quarantine policies
  2. Deduplicate source records using stable keys across retries
  3. Implement supported pagination with continuation-state handling
  4. Use supported secure token refresh or connection management

Explanation

Correct Answer

C:

Implement supported pagination with continuation-state handling. Complete extraction requires following all source pages.

Incorrect Answers

A:

The vendor adds an optional nested field that crashes strict mapping. Schema evolution should not silently corrupt accepted data.

B:

The source returns the same page twice after an intermittent timeout. Page retrials must not inflate target rows.

D:

Authentication tokens expire in the middle of a large extraction. Long-running data movement needs renewable credentials.

Question 437

An engineering pipeline publishes trusted data from a third-party SaaS API. Data validation establishes that the API rate limits after repeated high-parallel requests. What is the best engineering response?

  1. Implement supported pagination with continuation-state handling
  2. Add bounded concurrency and retry-after/backoff handling
  3. Deduplicate source records using stable keys across retries
  4. Use supported secure token refresh or connection management

Explanation

Correct Answer

B:

Add bounded concurrency and retry-after/backoff handling. Responsible request shaping avoids throttling loops.

Incorrect Answers

A:

The REST API is paginated but the load retrieves only its first page. Complete extraction requires following all source pages.

C:

The source returns the same page twice after an intermittent timeout. Page retrials must not inflate target rows.

D:

Authentication tokens expire in the middle of a large extraction. Long-running data movement needs renewable credentials.

Question 438

An engineering pipeline publishes trusted data from a third-party SaaS API. The production incident report states that authentication tokens expire in the middle of a large extraction. Which action should the team take next?

  1. Implement validated schema-drift handling with default or quarantine policies
  2. Implement supported pagination with continuation-state handling
  3. Deduplicate source records using stable keys across retries
  4. Use supported secure token refresh or connection management

Explanation

Correct Answer

D:

Use supported secure token refresh or connection management. Long-running data movement needs renewable credentials.

Incorrect Answers

A:

The vendor adds an optional nested field that crashes strict mapping. Schema evolution should not silently corrupt accepted data.

B:

The REST API is paginated but the load retrieves only its first page. Complete extraction requires following all source pages.

C:

The source returns the same page twice after an intermittent timeout. Page retrials must not inflate target rows.

Question 439

An engineering pipeline publishes trusted data from a third-party SaaS API. A postdeployment check reveals that the source returns the same page twice after an intermittent timeout. Which approach best satisfies this requirement?

  1. Implement validated schema-drift handling with default or quarantine policies
  2. Deduplicate source records using stable keys across retries
  3. Use supported secure token refresh or connection management
  4. Implement supported pagination with continuation-state handling

Explanation

Correct Answer

B:

Deduplicate source records using stable keys across retries. Page retrials must not inflate target rows.

Incorrect Answers

A:

The vendor adds an optional nested field that crashes strict mapping. Schema evolution should not silently corrupt accepted data.

C:

Authentication tokens expire in the middle of a large extraction. Long-running data movement needs renewable credentials.

D:

The REST API is paginated but the load retrieves only its first page. Complete extraction requires following all source pages.

Question 440

An engineering pipeline publishes trusted data from a third-party SaaS API. The current environment exhibits the following problem: the vendor adds an optional nested field that crashes strict mapping. Which corrective action addresses the root cause?

  1. Implement supported pagination with continuation-state handling
  2. Implement validated schema-drift handling with default or quarantine policies
  3. Use supported secure token refresh or connection management
  4. Deduplicate source records using stable keys across retries

Explanation

Correct Answer

B:

Implement validated schema-drift handling with default or quarantine policies. Schema evolution should not silently corrupt accepted data.

Incorrect Answers

A:

The REST API is paginated but the load retrieves only its first page. Complete extraction requires following all source pages.

C:

Authentication tokens expire in the middle of a large extraction. Long-running data movement needs renewable credentials.

D:

The source returns the same page twice after an intermittent timeout. Page retrials must not inflate target rows.