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Data Ingestion and TransformationhardMultiple ChoiceObjective-mapped

DEA-C01 Data Ingestion and Transformation Practice Question

This DEA-C01 practice question tests your understanding of data ingestion and transformation. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A company uses AWS DMS to migrate a 2 TB Oracle database to Amazon RDS for PostgreSQL. The migration is taking longer than expected. The task status shows 'Full load in progress' with a low 'Table throughput (rows/s)'. Which action would MOST improve throughput?

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

Increase the number of parallel tasks in the DMS task settings

The low 'Table throughput (rows/s)' during the full load phase indicates that the DMS task is not processing tables with enough parallelism. Increasing the number of parallel tasks in the DMS task settings allows the replication instance to load multiple tables concurrently, which directly improves throughput by utilizing available CPU and memory resources more efficiently.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

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

  • Enable Multi-AZ on the DMS replication instance

    Why it's wrong here

    Multi-AZ provides failover but does not improve throughput.

  • Change the target table preparation mode to 'Do nothing'

    Why it's wrong here

    This avoids truncation but does not affect load speed.

  • Increase the number of parallel tasks in the DMS task settings

    Why this is correct

    Parallel tasks allow concurrent loading of tables, increasing throughput.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Increase the number of shards in the source database

    Why it's wrong here

    Sharding is not applicable to Oracle; DMS handles sharding internally.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse 'parallel tasks' with 'Multi-AZ' or 'target table preparation mode', assuming that high availability or skipping table preparation will speed up data transfer, when in fact only increasing parallelism directly addresses low row throughput during full load.

Detailed technical explanation

How to think about this question

DMS parallel tasks work by splitting the full load across multiple threads, each handling a subset of tables or partitions. The default is often 1, which serializes table loads; increasing this value (e.g., to 8 or higher) allows concurrent extraction and loading, but must be balanced against the replication instance's allocated vCPUs and memory to avoid resource contention. In real-world migrations, a 2 TB database with many small tables benefits significantly from higher parallelism, whereas a few large tables may require additional tuning like table-level partitioning.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this DEA-C01 question test?

Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Increase the number of parallel tasks in the DMS task settings — The low 'Table throughput (rows/s)' during the full load phase indicates that the DMS task is not processing tables with enough parallelism. Increasing the number of parallel tasks in the DMS task settings allows the replication instance to load multiple tables concurrently, which directly improves throughput by utilizing available CPU and memory resources more efficiently.

What should I do if I get this DEA-C01 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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This DEA-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 DEA-C01 exam.