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Data EngineeringhardMultiple ChoiceObjective-mapped

MLS-C01 Data Engineering Practice Question

A company is running a data pipeline that uses Amazon EMR with Spark to process 100 TB of data daily. The pipeline must complete within 6 hours. Currently, it takes 8 hours. Which optimization will most likely reduce the runtime?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Enable EMR Managed Scaling

EMR Managed Scaling automatically adjusts the number of core and task nodes based on workload, increasing parallelism and reducing runtime for large data pipelines. This is the most effective optimization when the current cluster is under-provisioned for the 100 TB workload. Option A is incorrect because consolidating input files reduces small file overhead but does not address a compute capacity bottleneck. Option C is incorrect because increasing memory per node (e.g., r5 instances) helps memory-bound tasks, but the primary bottleneck here is likely throughput and parallelism, not memory. Option D is incorrect because Spot Instances can be interrupted, which may cause delays and increase runtime, making them unsuitable for a time-sensitive pipeline.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Consolidate small input files into fewer larger files

    Why it's wrong here

    This can improve performance but may not be enough to reduce runtime by 2 hours.

  • Enable EMR Managed Scaling

    Why this is correct

    Managed Scaling dynamically adds resources to meet deadlines.

  • Increase the memory of each node by using r5 instances

    Why it's wrong here

    Memory may not be the bottleneck; compute parallelism is key.

  • Use Spot Instances for all core nodes

    Why it's wrong here

    Spot instances can be reclaimed, causing delays.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This MLS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLS-C01 exam.