- A
Download the file to a staging server, then bulk insert into warehouse
Why wrong: Download adds an extra step and uses storage.
- B
Stream the file directly from SFTP into warehouse using a data pipeline tool
Streaming minimizes latency and storage overhead.
- C
Have the vendor push data via API instead of SFTP
Why wrong: Changing vendor processes is not always feasible.
- D
Split the file into smaller chunks and load concurrently
Why wrong: Splitting still requires download and adds complexity.
Quick Answer
The answer is to stream the file directly from SFTP into the warehouse using a data pipeline tool. This approach optimizes large file SFTP data acquisition by eliminating the intermediate staging step, which reduces disk I/O and latency that would otherwise bottleneck a 10 GB transfer. By leveraging incremental processing and parallel streams, the pipeline handles the file size efficiently, while built-in retry and checkpoint mechanisms ensure reliability against network interruptions. On the CompTIA Data+ DA0-001 exam, this question tests your understanding of ETL versus ELT trade-offs and the importance of minimizing data movement for speed. A common trap is choosing to download the file locally first, which wastes time and storage; instead, remember that streaming bypasses the middleman. Memory tip: “Stream to skip the staging scene.”
DA0-001 Mining and Acquiring Data Practice Question
This DA0-001 practice question tests your understanding of mining and acquiring data. 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 data engineer is tasked with acquiring data from a third-party vendor that provides daily file drops via SFTP. The files are large (10 GB each). The pipeline must load data into a data warehouse. Which approach optimizes for speed and reliability?
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
Stream the file directly from SFTP into warehouse using a data pipeline tool
Option B is correct because streaming the file directly from SFTP into the warehouse using a data pipeline tool (e.g., Apache NiFi, Airbyte, or Fivetran) eliminates the intermediate staging step, reducing disk I/O and latency. This approach leverages incremental processing and parallel streams to handle large 10 GB files efficiently, while built-in retry and checkpoint mechanisms ensure reliability against network interruptions.
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.
- ✗
Download the file to a staging server, then bulk insert into warehouse
Why it's wrong here
Download adds an extra step and uses storage.
- ✓
Stream the file directly from SFTP into warehouse using a data pipeline tool
Why this is correct
Streaming minimizes latency and storage overhead.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Have the vendor push data via API instead of SFTP
Why it's wrong here
Changing vendor processes is not always feasible.
- ✗
Split the file into smaller chunks and load concurrently
Why it's wrong here
Splitting still requires download and adds complexity.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume 'download then load' (Option A) is the most reliable approach, but the question specifically asks for speed and reliability, and streaming avoids the I/O bottleneck and single-point-of-failure of a staging server.
Detailed technical explanation
How to think about this question
Streaming from SFTP works by reading the file in chunks (e.g., 64 KB buffers) over the SSH-based SFTP protocol (RFC 4253) and immediately writing to the warehouse via its native ingestion API (e.g., Snowflake COPY INTO with STREAM). This leverages the warehouse's ability to handle concurrent micro-batches, and tools like NiFi use flow-file queues and backpressure to prevent memory overflow. In real-world scenarios, this pattern is critical for time-sensitive pipelines like financial market data, where a 10 GB file must be queryable within minutes of drop.
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 small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
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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Mining and Acquiring Data — study guide chapter
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FAQ
Questions learners often ask
What does this DA0-001 question test?
Mining and Acquiring Data — This question tests Mining and Acquiring Data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Stream the file directly from SFTP into warehouse using a data pipeline tool — Option B is correct because streaming the file directly from SFTP into the warehouse using a data pipeline tool (e.g., Apache NiFi, Airbyte, or Fivetran) eliminates the intermediate staging step, reducing disk I/O and latency. This approach leverages incremental processing and parallel streams to handle large 10 GB files efficiently, while built-in retry and checkpoint mechanisms ensure reliability against network interruptions.
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 24, 2026
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.
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