- A
Set the 'QueryExecutionTimeout' parameter in the Data API call to 30 minutes.
Why wrong: The Data API does not have a 'QueryExecutionTimeout' parameter.
- B
Increase the 'timeout' parameter in the Redshift cluster configuration.
Why wrong: The cluster parameter 'timeout' does not affect the Data API timeout.
- C
Use the 'GetStatementResult' operation to retrieve results after the query completes.
This is the correct way to get results after the statement finishes.
- D
Set the 'max_execution_time' parameter in the Redshift parameter group to 30 minutes.
Why wrong: Redshift uses 'statement_timeout', not 'max_execution_time'.
- E
Use the 'StatementName' parameter to run the query asynchronously and poll for completion.
This allows the query to run beyond the 10-minute API timeout.
Quick Answer
The correct answer is to use the StatementName parameter to run the query asynchronously and then poll for completion, combined with retrieving results via the GetStatementResult operation after the statement finishes. The Redshift Data API has a hard timeout of 10 minutes for a single synchronous call, so for long-running queries exceeding that limit, you must execute the statement asynchronously by providing a StatementName, which allows the query to continue processing in the background even if the initial API call times out. You then poll the DescribeStatement endpoint to check the status, and once the status shows FINISHED, you call GetStatementResult to fetch the output. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of the Data API’s architectural limits and the asynchronous execution pattern, often appearing as a trap where candidates mistakenly try to adjust cluster-level timeouts like statement_timeout, which do not affect the API’s 10-minute ceiling. A helpful memory tip: think of StatementName as a “ticket number” for your query—hand it in, walk away, and come back later to pick up your results.
DEA-C01 Data Operations and Support Practice Question
This DEA-C01 practice question tests your understanding of data operations and support. 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 company runs an Amazon Redshift cluster for data warehousing. The data engineering team notices that the 'Amazon Redshift Data API' is timing out when executing long-running queries. The queries typically take more than 10 minutes to complete. The team wants to ensure that the queries can complete without timeout and that the results are retrievable. Which TWO steps should the team take? (Choose TWO.)
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
Use the 'GetStatementResult' operation to retrieve results after the query completes.
Option B is correct because the Data API has a timeout of 10 minutes for a single call; using the 'StatementName' parameter allows you to check the status of the query asynchronously, and the query continues to run even if the API call times out. Option D is correct because you can retrieve the results using the 'GetStatementResult' operation after the statement has completed. Option A is wrong because increasing the query timeout in the cluster does not affect the Data API timeout. Option C is wrong because the Data API does not have a 'QueryExecutionTimeout' parameter. Option E is wrong because Redshift does not have a 'max_execution_time' parameter; the relevant parameter is 'statement_timeout'.
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.
- ✗
Set the 'QueryExecutionTimeout' parameter in the Data API call to 30 minutes.
Why it's wrong here
The Data API does not have a 'QueryExecutionTimeout' parameter.
- ✗
Increase the 'timeout' parameter in the Redshift cluster configuration.
Why it's wrong here
The cluster parameter 'timeout' does not affect the Data API timeout.
- ✓
Use the 'GetStatementResult' operation to retrieve results after the query completes.
Why this is correct
This is the correct way to get results after the statement finishes.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set the 'max_execution_time' parameter in the Redshift parameter group to 30 minutes.
Why it's wrong here
Redshift uses 'statement_timeout', not 'max_execution_time'.
- ✓
Use the 'StatementName' parameter to run the query asynchronously and poll for completion.
Why this is correct
This allows the query to run beyond the 10-minute API timeout.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Operations and Support — This question tests Data Operations and Support — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use the 'GetStatementResult' operation to retrieve results after the query completes. — Option B is correct because the Data API has a timeout of 10 minutes for a single call; using the 'StatementName' parameter allows you to check the status of the query asynchronously, and the query continues to run even if the API call times out. Option D is correct because you can retrieve the results using the 'GetStatementResult' operation after the statement has completed. Option A is wrong because increasing the query timeout in the cluster does not affect the Data API timeout. Option C is wrong because the Data API does not have a 'QueryExecutionTimeout' parameter. Option E is wrong because Redshift does not have a 'max_execution_time' parameter; the relevant parameter is 'statement_timeout'.
What should I do if I get this DEA-C01 question wrong?
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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