← DEA-C01·Amazon Web Services

Question 1,786 of 1,786

Data Ingestion and Transformation →hardMultiple ChoiceObjective-mapped

Handle Late Events with Watermark Delay in Flink

This DEA-C01 practice question tests your understanding of data ingestion and transformation. 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 uses Amazon Kinesis Data Analytics for real-time anomaly detection on clickstream data. The application uses a sliding window of 1 minute. The data engineer notices that the application is producing incorrect results because late-arriving records are not being handled properly. What should the data engineer do to ensure late records are included in the window calculations?

A
Use a Kinesis Data Firehose to buffer the data and then send to Kinesis Data Analytics.
Why wrong: This adds buffering but does not solve the late-data problem.
B
Increase the watermark delay in the Kinesis Data Analytics application to allow more time for late records.
Watermark delay controls how long the application waits for late data.
C
Increase the window size from 1 minute to 2 minutes.
Why wrong: This changes the window, but does not specifically handle late data.
D
Increase the retention period of the Kinesis stream to 7 days.
Why wrong: Retention period does not affect window calculations.

Full breakdown with real-world context →

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 watermark delay in the Kinesis Data Analytics application to allow more time for late records.

Option B is correct because Kinesis Data Analytics uses watermarks to track event time progress and determine when to finalize window calculations. Increasing the watermark delay allows the application to wait longer for late-arriving records before closing the window, ensuring they are included in the aggregation.

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.

✗
Use a Kinesis Data Firehose to buffer the data and then send to Kinesis Data Analytics.
Why it's wrong here
This adds buffering but does not solve the late-data problem.
✓
Increase the watermark delay in the Kinesis Data Analytics application to allow more time for late records.
Why this is correct
Watermark delay controls how long the application waits for late data.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the window size from 1 minute to 2 minutes.
Why it's wrong here
This changes the window, but does not specifically handle late data.
✗
Increase the retention period of the Kinesis stream to 7 days.
Why it's wrong here
Retention period does not affect window calculations.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse stream retention (how long data is stored) with watermark delay (how long the application waits for late events), leading them to incorrectly choose option D.

Detailed technical explanation

How to think about this question

Kinesis Data Analytics for Apache Flink uses event time processing with watermarks, which are a mechanism to measure the progress of event time and handle out-of-order data. The watermark delay (also known as allowed lateness) defines how long the system waits for late events after the watermark passes the end of a window; if set too low, late records are discarded. In real-world scenarios, network jitter or upstream batching can cause records to arrive seconds or minutes late, so tuning this delay is critical for accurate sliding window aggregations.

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.

Related DEA-C01 practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

Data Ingestion and Transformation practice questions

Practise DEA-C01 questions linked to Data Ingestion and Transformation.

Data Operations and Support practice questions

Practise DEA-C01 questions linked to Data Operations and Support.

Data Security and Governance practice questions

Practise DEA-C01 questions linked to Data Security and Governance.

Data Store Management practice questions

Practise DEA-C01 questions linked to Data Store Management.

DEA-C01 fundamentals practice questions

Practise DEA-C01 questions linked to DEA-C01 fundamentals.

DEA-C01 scenario practice questions

Practise DEA-C01 questions linked to DEA-C01 scenario.

DEA-C01 troubleshooting practice questions

Practise DEA-C01 questions linked to DEA-C01 troubleshooting.

Practice this exam

Start a free DEA-C01 practice session

Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.

10 questions 20 questions 30 questions 50 questions Timed 30

DEA-C01 practice-test guide →Study guide →Browse all practice tests

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 watermark delay in the Kinesis Data Analytics application to allow more time for late records. — Option B is correct because Kinesis Data Analytics uses watermarks to track event time progress and determine when to finalize window calculations. Increasing the watermark delay allows the application to wait longer for late-arriving records before closing the window, ensuring they are included in the aggregation.

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.

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 →

How Courseiva writes practice questions · Editorial policy

Same concept, more angles

1 more ways this is tested on DEA-C01

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. A company uses Amazon Kinesis Data Analytics to process real-time data. The application needs to aggregate data over a 10-minute window. The team notices that late-arriving events are being dropped. Which configuration should they adjust?

medium

A.Configure a Kinesis Firehose delivery stream to buffer the late events.
B.Increase the shard count of the source Kinesis stream.
✓ C.Set the allowed_lateness parameter in the application's windowed aggregation.
D.Increase the RecordColumn count in the input stream mapping.

Why C: Option C is correct because Kinesis Data Analytics (now part of Amazon Managed Service for Apache Flink) provides an `allowed_lateness` parameter in windowed aggregations to handle late-arriving events. Option A is incorrect because Kinesis Firehose is used for data delivery and buffering, not for handling late events within Kinesis Data Analytics; the application itself must manage lateness. Option B is incorrect because increasing shard count increases parallelism and throughput but does not affect how late events are treated; they will still be dropped unless a lateness tolerance is set. Option D is incorrect because `RecordColumn` count defines the schema of the input stream and has no impact on late-arriving event handling.

Keep practising

Question Discussion

Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.

Loading comments…

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.