The correct approach is to implement CDC for the SQL Server database and stream the JSON logs via a message queue to the cloud warehouse. This solution directly meets the sub-15-minute latency requirement because change data capture captures only incremental row changes from the transactional database, drastically reducing data volume compared to full nightly extracts, while streaming JSON logs through a message queue like Apache Kafka enables continuous, low-latency ingestion. On the CompTIA Data+ DA0-001 exam, this scenario tests your understanding of real-time data warehouse design and the trade-offs between batch ETL and streaming CDC—a common trap is assuming that full table snapshots or virtualization can achieve sub-15-minute latency without overwhelming system resources. Remember that CDC and streaming together minimize both cost and complexity by avoiding full reloads and complex middleware. A useful memory tip: think “CDC for rows, stream for logs” to pair the right tool with each data source.
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 retail company is migrating its on-premises data warehouse to a cloud data warehouse. The current ETL process extracts data from a transactional database (SQL Server) and a web analytics system (JSON logs). The ETL runs nightly and takes 6 hours. The business requires that the new cloud warehouse support real-time reporting with data latency of less than 15 minutes. The data engineer proposes using change data capture (CDC) from the SQL Server database and streaming the JSON logs via a message queue. However, management is concerned about cost and complexity. The engineer must design a solution that meets the latency requirement while minimizing operational overhead. Which approach should the engineer recommend?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Implement CDC for the SQL Server database and stream the JSON logs via a message queue to the cloud warehouse
Option C is correct because CDC captures only changed rows from SQL Server, minimizing data volume and enabling near-real-time ingestion, while streaming JSON logs via a message queue (e.g., Apache Kafka or Amazon Kinesis) provides sub-15-minute latency. This combination meets the latency requirement without the overhead of full batch exports or complex virtualization, addressing management's cost and complexity concerns.
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.
✗
Export the SQL Server data to flat files every 15 minutes and use a cloud storage trigger to load
Why it's wrong here
This approach is fragile and adds complexity without significant benefit.
✗
Continue with nightly batch loads but increase the frequency to every hour
Why it's wrong here
Hourly batches still exceed 15-minute latency requirement.
✓
Implement CDC for the SQL Server database and stream the JSON logs via a message queue to the cloud warehouse
Read the scenario before looking for a memorised answer.
✗
Use a data virtualization tool to query the source systems directly without moving data
Why it's wrong here
Data virtualization may not meet performance requirements for real-time reporting.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may choose Option A or D because they seem simpler, but they fail to meet the strict latency requirement or introduce hidden operational complexity, while Option C's CDC and streaming approach is the only one that balances low latency with minimal overhead.
Detailed technical explanation
How to think about this question
CDC in SQL Server uses the transaction log to capture insert, update, and delete operations without impacting source performance, typically via log reader agents or native CDC tables. Streaming JSON logs via a message queue like Kafka ensures ordered, fault-tolerant delivery with sub-second latency, and the cloud warehouse (e.g., Snowflake or BigQuery) can ingest these streams using connectors like Kafka Connect or AWS Glue. In real-world scenarios, this approach also supports exactly-once semantics and handles schema evolution, which batch exports cannot.
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.
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: Implement CDC for the SQL Server database and stream the JSON logs via a message queue to the cloud warehouse — Option C is correct because CDC captures only changed rows from SQL Server, minimizing data volume and enabling near-real-time ingestion, while streaming JSON logs via a message queue (e.g., Apache Kafka or Amazon Kinesis) provides sub-15-minute latency. This combination meets the latency requirement without the overhead of full batch exports or complex virtualization, addressing management's cost and complexity concerns.
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.
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Question Discussion
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