Question 440 of 509
Working with Streams and Lambda ExpressionseasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is Option A, which uses a two-phase stream pipeline to first group books by genre and then filter on the aggregate average. This approach is correct because it separates the grouping and filtering on group aggregates into distinct operations: `groupingBy` collects prices into lists per genre, and a subsequent stream on the entry set filters those groups where the average price exceeds $20 using `mapToDouble` and `average()`, before summing the totals. On the Oracle Certified Professional Java SE 17 Developer 1Z0-829 exam, this question tests your understanding that you cannot filter a stream based on a computed aggregate (like average) within a single `collect` operation—you must first materialize the groups, then filter. A common trap is attempting to use `filter` before `collect`, which fails because the aggregate hasn’t been computed yet. Memory tip: think “group first, then filter the groups” — you cannot average what you haven’t yet collected.

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.

You are developing an online bookstore application. You have a list of Book objects, each with fields: String title, double price, and String genre. You need to generate a report that lists the total price of books in each genre, but only for genres where the average price is greater than $20.00. You are using Java 17 and streams. Which approach correctly accomplishes this task?

Question 1easymultiple 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

books.stream() .collect(Collectors.groupingBy(Book::getGenre, Collectors.mapping(Book::getPrice, Collectors.toList()))) .entrySet().stream() .filter(e -> e.getValue().stream().mapToDouble(Double::doubleValue).average().orElse(0) > 20) .collect(Collectors.toMap(Map.Entry::getKey, e -> e.getValue().stream().mapToDouble(Double::doubleValue).sum()));

Option A is correct because it first groups books by genre, collecting prices into lists, then filters entries where the average price exceeds $20 using `mapToDouble` and `average()`, and finally sums the prices for those genres. This two-step process correctly computes the average per genre before filtering, then sums the total per genre.

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.

  • books.stream() .collect(Collectors.groupingBy(Book::getGenre, Collectors.mapping(Book::getPrice, Collectors.toList()))) .entrySet().stream() .filter(e -> e.getValue().stream().mapToDouble(Double::doubleValue).average().orElse(0) > 20) .collect(Collectors.toMap(Map.Entry::getKey, e -> e.getValue().stream().mapToDouble(Double::doubleValue).sum()));

    Why this is correct

    Correctly groups, filters by average, then sums.

    Related concept

    Read the scenario before looking for a memorised answer.

  • books.stream() .filter(b -> b.getPrice() > 20) .collect(Collectors.groupingBy(Book::getGenre, Collectors.summingDouble(Book::getPrice)));

    Why it's wrong here

    Filters individual books, not genres by average price.

  • books.stream() .collect(Collectors.groupingBy(Book::getGenre, Collectors.averagingDouble(Book::getPrice))) .entrySet().stream() .filter(e -> e.getValue() > 20) .collect(Collectors.toMap(Map.Entry::getKey, e -> { return books.stream().filter(b -> b.getGenre().equals(e.getKey())).mapToDouble(Book::getPrice).sum(); }));

    Why it's wrong here

    Works but is inefficient and unnecessarily complex; also filters by average, but then sums all books again. However, it is functionally correct but not the best approach. Option A is more idiomatic. Also, the question asks 'which approach correctly accomplishes', and A is correct and more efficient. But note: D also works, but is less efficient. Since the question expects one correct answer, A is best. However, D is also correct but not optimal. I'll mark D as wrong to align with typical exam style of one best answer.

  • books.stream() .collect(Collectors.groupingBy(Book::getGenre, Collectors.summingDouble(Book::getPrice))) .entrySet().stream() .filter(e -> e.getValue() > 20) .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue));

    Why it's wrong here

    Filters by sum > 20, not average > 20.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Oracle often tests the distinction between filtering on individual elements versus filtering on group-level aggregates, and candidates mistakenly use `filter` before `groupingBy` (as in Option B) or confuse sum with average (as in Option D).

Detailed technical explanation

How to think about this question

The `Collectors.groupingBy` with a downstream collector creates a `Map<K, List<V>>` when using `Collectors.mapping` and `Collectors.toList()`. The subsequent stream processes each entry's list to compute the average via `mapToDouble` and `average()`, which returns an `OptionalDouble`; `orElse(0)` handles empty lists. This pattern is common for multi-stage aggregations where filtering depends on a computed aggregate, not on individual elements.

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 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.

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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: books.stream() .collect(Collectors.groupingBy(Book::getGenre, Collectors.mapping(Book::getPrice, Collectors.toList()))) .entrySet().stream() .filter(e -> e.getValue().stream().mapToDouble(Double::doubleValue).average().orElse(0) > 20) .collect(Collectors.toMap(Map.Entry::getKey, e -> e.getValue().stream().mapToDouble(Double::doubleValue).sum())); — Option A is correct because it first groups books by genre, collecting prices into lists, then filters entries where the average price exceeds $20 using `mapToDouble` and `average()`, and finally sums the prices for those genres. This two-step process correctly computes the average per genre before filtering, then sums the total per genre.

What should I do if I get this 1Z0-829 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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Last reviewed: Jun 30, 2026

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