Question 281 of 509
Comparing and Contrasting Data ConceptseasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is ELT (Extract, Load, Transform) because the company wants to load raw data first and then transform it later, which directly reduces initial processing time. Unlike the traditional ETL approach, which transforms data before loading it into the warehouse, ELT leverages the processing power of modern data warehouses to perform transformations after the raw data is already stored. This makes ELT ideal for rapidly growing volumes of daily transaction data, as it avoids the bottleneck of pre-load transformation. On the CompTIA Data+ DA0-001 exam, this scenario tests your understanding of when to prioritize speed and scalability over upfront data cleansing—a common trap is assuming ETL is always the default. Remember the memory tip: “ELT loads first, transforms last—ETL transforms before it’s cast.”

DA0-001 Comparing and Contrasting Data Concepts Practice Question

This DA0-001 practice question tests your understanding of comparing and contrasting data concepts. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 retail company processes daily transactions. The current system transforms data before loading it into the data warehouse. The volume is growing rapidly, and they want to load raw data first to reduce processing time. Which approach should they adopt?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "first"

    Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.

Question 1easymultiple choice
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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

ELT (Extract, Load, Transform)

The correct answer is C (ELT) because the company wants to load raw data first and then transform it later, reducing initial processing time. ELT leverages the power of modern data warehouses to perform transformations after loading, which is ideal for rapidly growing volumes of raw transaction data.

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.

  • Change data capture (CDC)

    Why it's wrong here

    CDC captures incremental changes, but does not address the overall processing approach.

  • ETL (Extract, Transform, Load)

    Why it's wrong here

    ETL transforms data before loading, which increases processing time upfront.

  • ELT (Extract, Load, Transform)

    Why this is correct

    ELT loads raw data first, then transforms in the warehouse, reducing initial load time and utilizing warehouse resources.

    Clue confirmation

    The clue word "first" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Data replication

    Why it's wrong here

    Data replication copies data without transformation, but not specifically for loading into a warehouse.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse ETL and ELT, assuming that 'transform before load' (ETL) is always faster, but the question explicitly states the goal is to reduce processing time by loading raw data first, which directly points to ELT.

Detailed technical explanation

How to think about this question

ELT is particularly effective with cloud-based data warehouses like Snowflake, Amazon Redshift, or Google BigQuery, which use massively parallel processing (MPP) to handle transformations on large datasets. A subtle behavior is that ELT can lead to higher storage costs because raw data is stored before transformation, but it enables schema-on-read flexibility, allowing analysts to adapt transformations as business needs evolve without reprocessing source data.

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 practitioner preparing for the DA0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.

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 DA0-001 question test?

Comparing and Contrasting Data Concepts — This question tests Comparing and Contrasting Data Concepts — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: ELT (Extract, Load, Transform) — The correct answer is C (ELT) because the company wants to load raw data first and then transform it later, reducing initial processing time. ELT leverages the power of modern data warehouses to perform transformations after loading, which is ideal for rapidly growing volumes of raw transaction data.

What should I do if I get this DA0-001 question wrong?

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

Are there clue words in this question I should notice?

Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 24, 2026

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This DA0-001 practice question is part of Courseiva's free CompTIA 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 DA0-001 exam.