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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 73

Question 720

A Spark transformation is slow because of badly distributed shuffle tasks. The current environment exhibits the following problem: Spark stages have too few partitions for available resources. Which approach best satisfies this requirement?

  1. Reevaluate auto-broadcast thresholds and compare distributed join plans on representative data
  2. Tune partition count based on data size and executor parallelism
  3. Cache or persist the reusable intermediate only when memory tradeoffs justify it
  4. Evaluate an appropriate broadcast hint or automatic broadcast for the small lookup

Explanation

Correct Answer

B:

Tune partition count based on data size and executor parallelism. Insufficient parallel tasks underutilize a distributed cluster.

Incorrect Answers

A:

An optimizer continues broadcasting a lookup after its size has grown beyond the expected threshold. Join-strategy defaults need revalidation as reference sizes change.

C:

An expensive intermediate DataFrame is recomputed by several downstream actions. Reusing materialized work can avoid repeated lineage recomputation.

D:

A large join shuffles both tables despite a tiny lookup input. Small reference datasets can avoid expensive shuffle transfers.

Question 721

A data warehouse experiences slow analytical joins after a major load. An acceptance test shows that query estimates are inaccurate after large cardinality changes. Which change most directly resolves this failure?

  1. Review query plan, filter placement and data organization
  2. Correct join cardinality before attempting only performance hints
  3. Inspect query plans and statistics before using targeted hints
  4. Examine and refresh relevant Warehouse statistics as supported

Explanation

Correct Answer

D:

Examine and refresh relevant Warehouse statistics as supported. Optimizer estimates influence join order and scan strategy.

Incorrect Answers

A:

Queries scan all rows despite a highly selective predicate. Predicate selectivity and plan shape determine scan cost.

B:

A join duplicates revenue and the query is also slow. Wrong results are a modeling defect, not solely an optimizer problem.

C:

An administrator applies a forced query hint without plan evidence. Blind hints can worsen a different data distribution.

Question 722

A data warehouse experiences slow analytical joins after a major load. The engineer has established the following constraint: an MPP query spends most time in a global ORDER BY on millions of rows. What is the best engineering response?

  1. Remove unnecessary global sorting or restrict the result set first
  2. Correct join cardinality before attempting only performance hints
  3. Review query plan, filter placement and data organization
  4. Examine and refresh relevant Warehouse statistics as supported

Explanation

Correct Answer

A:

Remove unnecessary global sorting or restrict the result set first. Single-node sorting can become a non-scalable bottleneck.

Incorrect Answers

B:

A join duplicates revenue and the query is also slow. Wrong results are a modeling defect, not solely an optimizer problem.

C:

Queries scan all rows despite a highly selective predicate. Predicate selectivity and plan shape determine scan cost.

D:

Query estimates are inaccurate after large cardinality changes. Optimizer estimates influence join order and scan strategy.

Question 723

A data warehouse experiences slow analytical joins after a major load. During an operations handoff, engineers find that queries scan all rows despite a highly selective predicate. Which action should the team take next?

  1. Inspect query plans and statistics before using targeted hints
  2. Review query plan, filter placement and data organization
  3. Remove unnecessary global sorting or restrict the result set first
  4. Examine and refresh relevant Warehouse statistics as supported

Explanation

Correct Answer

B:

Review query plan, filter placement and data organization. Predicate selectivity and plan shape determine scan cost.

Incorrect Answers

A:

An administrator applies a forced query hint without plan evidence. Blind hints can worsen a different data distribution.

C:

An MPP query spends most time in a global ORDER BY on millions of rows. Single-node sorting can become a non-scalable bottleneck.

D:

Query estimates are inaccurate after large cardinality changes. Optimizer estimates influence join order and scan strategy.

Question 724

A data warehouse experiences slow analytical joins after a major load. The team observes that a join duplicates revenue and the query is also slow. Which approach best satisfies this requirement?

  1. Correct join cardinality before attempting only performance hints
  2. Review query plan, filter placement and data organization
  3. Examine and refresh relevant Warehouse statistics as supported
  4. Remove unnecessary global sorting or restrict the result set first

Explanation

Correct Answer

A:

Correct join cardinality before attempting only performance hints. Wrong results are a modeling defect, not solely an optimizer problem.

Incorrect Answers

B:

Queries scan all rows despite a highly selective predicate. Predicate selectivity and plan shape determine scan cost.

C:

Query estimates are inaccurate after large cardinality changes. Optimizer estimates influence join order and scan strategy.

D:

An MPP query spends most time in a global ORDER BY on millions of rows. Single-node sorting can become a non-scalable bottleneck.

Question 725

A data warehouse experiences slow analytical joins after a major load. The implementation review confirms that an administrator applies a forced query hint without plan evidence. Which corrective action addresses the root cause?

  1. Remove unnecessary global sorting or restrict the result set first
  2. Examine and refresh relevant Warehouse statistics as supported
  3. Inspect query plans and statistics before using targeted hints
  4. Correct join cardinality before attempting only performance hints

Explanation

Correct Answer

C:

Inspect query plans and statistics before using targeted hints. Blind hints can worsen a different data distribution.

Incorrect Answers

A:

An MPP query spends most time in a global ORDER BY on millions of rows. Single-node sorting can become a non-scalable bottleneck.

B:

Query estimates are inaccurate after large cardinality changes. Optimizer estimates influence join order and scan strategy.

D:

A join duplicates revenue and the query is also slow. Wrong results are a modeling defect, not solely an optimizer problem.

Question 726

A Fabric pipeline copies large tables with uneven throughput. A scheduled execution exposes this issue: source partitioning sends most rows to one worker. Which option directly handles this observed condition?

  1. Choose a partition column with balanced ranges for parallel copy
  2. Switch to an incremental loading pattern with safe checkpoint state
  3. Batch compatible movement or use bounded parallel execution
  4. Add completion dependencies and source file readiness checks

Explanation

Correct Answer

A:

Choose a partition column with balanced ranges for parallel copy. Even partitions improve transfer concurrency.

Incorrect Answers

B:

Copy activities repeat unchanged historic data nightly. Change-only movement reduces volume and elapsed time.

C:

A workflow copies hundreds of tiny tables one by one with high startup cost. Fixed per-activity overhead can dominate small loads.

D:

A pipeline starts downstream work while large copy files are incomplete. Overlapping stages can read partially published data.

Question 727

A Fabric pipeline copies large tables with uneven throughput. Data validation establishes that the source database throttles when copy parallelism is increased. What is the most defensible next action?

  1. Switch to an incremental loading pattern with safe checkpoint state
  2. Choose a partition column with balanced ranges for parallel copy
  3. Reduce concurrency and tune throughput within source limits
  4. Batch compatible movement or use bounded parallel execution

Explanation

Correct Answer

C:

Reduce concurrency and tune throughput within source limits. Maximum parallelism is not always optimal.

Incorrect Answers

A:

Copy activities repeat unchanged historic data nightly. Change-only movement reduces volume and elapsed time.

B:

Source partitioning sends most rows to one worker. Even partitions improve transfer concurrency.

D:

A workflow copies hundreds of tiny tables one by one with high startup cost. Fixed per-activity overhead can dominate small loads.

Question 728

A Fabric pipeline copies large tables with uneven throughput. The production incident report states that a workflow copies hundreds of tiny tables one by one with high startup cost. Which technical choice fits this evidence?

  1. Reduce concurrency and tune throughput within source limits
  2. Add completion dependencies and source file readiness checks
  3. Choose a partition column with balanced ranges for parallel copy
  4. Batch compatible movement or use bounded parallel execution

Explanation

Correct Answer

D:

Batch compatible movement or use bounded parallel execution. Fixed per-activity overhead can dominate small loads.

Incorrect Answers

A:

The source database throttles when copy parallelism is increased. Maximum parallelism is not always optimal.

B:

A pipeline starts downstream work while large copy files are incomplete. Overlapping stages can read partially published data.

C:

Source partitioning sends most rows to one worker. Even partitions improve transfer concurrency.

Question 729

A Fabric pipeline copies large tables with uneven throughput. A postdeployment check reveals that copy activities repeat unchanged historic data nightly. Which step preserves the intended data behavior?

  1. Add completion dependencies and source file readiness checks
  2. Batch compatible movement or use bounded parallel execution
  3. Switch to an incremental loading pattern with safe checkpoint state
  4. Choose a partition column with balanced ranges for parallel copy

Explanation

Correct Answer

C:

Switch to an incremental loading pattern with safe checkpoint state. Change-only movement reduces volume and elapsed time.

Incorrect Answers

A:

A pipeline starts downstream work while large copy files are incomplete. Overlapping stages can read partially published data.

B:

A workflow copies hundreds of tiny tables one by one with high startup cost. Fixed per-activity overhead can dominate small loads.

D:

Source partitioning sends most rows to one worker. Even partitions improve transfer concurrency.

Question 730

A Fabric pipeline copies large tables with uneven throughput. The current environment exhibits the following problem: a pipeline starts downstream work while large copy files are incomplete. Which change most directly resolves this failure?

  1. Add completion dependencies and source file readiness checks
  2. Switch to an incremental loading pattern with safe checkpoint state
  3. Choose a partition column with balanced ranges for parallel copy
  4. Reduce concurrency and tune throughput within source limits

Explanation

Correct Answer

A:

Add completion dependencies and source file readiness checks. Overlapping stages can read partially published data.

Incorrect Answers

B:

Copy activities repeat unchanged historic data nightly. Change-only movement reduces volume and elapsed time.

C:

Source partitioning sends most rows to one worker. Even partitions improve transfer concurrency.

D:

The source database throttles when copy parallelism is increased. Maximum parallelism is not always optimal.