Question 212 of 509
Working with Streams and Lambda ExpressionshardMultiple ChoiceObjective-mapped

Quick Answer

The answer is to use a sequential stream with a custom rate limiter, such as a semaphore or Guava’s RateLimiter, to block threads when the external service’s limit is reached. This approach is correct because parallel streams inherently fire many concurrent requests, overwhelming a rate-limited external service and causing failures; a sequential stream paired with a throttling mechanism ensures each request waits until capacity is available, respecting the 10 requests per second limit without dropping data. On the Oracle Certified Professional Java SE 17 Developer 1Z0-829 exam, this tests your understanding that parallel streams are not a silver bullet for I/O-bound tasks with external constraints—common traps include assuming reducing parallelism (e.g., with a custom fork-join pool) is sufficient, which still risks bursts, or using `limit()` or `filter()` to discard excess data, which violates processing requirements. Remember the mnemonic: “Sequential for rate limits, parallel for CPU limits.”

1Z0-829 Working with Streams and Lambda Expressions Practice Question

This 1Z0-829 practice question tests your understanding of working with streams and lambda expressions. 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 team is developing a real-time data processing pipeline that reads sensor data from a message queue. The pipeline uses a flatMap operation that calls an external geocoding service for each sensor reading. The external service has a rate limit of 10 requests per second and is slow (150ms average response time). The current code: sensorStream.parallelStream() .flatMap(reading -> getGeocode(reading).stream()) .forEach(system.out::println); The application is overloaded because parallel stream fires many concurrent requests, exceeding the rate limit and causing failures. They need to process all sensor data but must respect the rate limit. Which approach should they use?

Question 1hardmultiple 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

Use a sequential stream with a custom rate limiter (e.g., a semaphore) that blocks when the limit is reached.

Option D is correct because using a sequential stream with a controlled batch size and throttling via a rate limiter (like a semaphore or Guava's RateLimiter) is the only way to reliably respect the external service's rate limit while not losing data. Options A and B only reduce parallelism but do not enforce a specific rate. Option C is wrong because it discards 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.

  • Use a sequential stream with a custom rate limiter (e.g., a semaphore) that blocks when the limit is reached.

    Why this is correct

    A sequential stream combined with a rate limiter ensures requests are sent at a controlled pace, respecting the external service limits.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Reduce the parallelism level by using a custom thread pool with a fixed number of threads.

    Why it's wrong here

    This limits concurrency but does not provide fine-grained rate control; requests may still exceed the rate limit at peak times.

  • Use filter to drop some sensor readings to reduce the load.

    Why it's wrong here

    Dropping data is unacceptable as all readings need to be processed.

  • Use a sequential stream and hope the processing completes within the time window.

    Why it's wrong here

    Sequential stream might be safe but does not guarantee rate limiting; it could still send requests too quickly if the stream is large.

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 practitioner preparing for the 1Z0-829 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 1Z0-829 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 1Z0-829 question test?

Working with Streams and Lambda Expressions — This question tests Working with Streams and Lambda Expressions — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use a sequential stream with a custom rate limiter (e.g., a semaphore) that blocks when the limit is reached. — Option D is correct because using a sequential stream with a controlled batch size and throttling via a rate limiter (like a semaphore or Guava's RateLimiter) is the only way to reliably respect the external service's rate limit while not losing data. Options A and B only reduce parallelism but do not enforce a specific rate. Option C is wrong because it discards data.

What should I do if I get this 1Z0-829 question wrong?

Identify which 1Z0-829 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 24, 2026

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This 1Z0-829 practice question is part of Courseiva's free Oracle 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 1Z0-829 exam.