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About the test:

The Pig Online test uses scenario-based MCQs to evaluate candidates on their knowledge of Apache Pig, including their ability to write Pig Latin scripts, work with data types and built-in functions, and optimize Pig queries. The test aims to evaluate a candidate's ability to work with Pig and perform data analysis tasks effectively.

9 reasons why
9 reasons why

Adaface Pig Test is the most accurate way to shortlist Big Data Developers

Reason #1

Tests for on-the-job skills

The Pig Online Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

  • Ability to write Apache Pig queries for data processing
  • Understanding of Hadoop framework and its components
  • Knowledge of MapReduce programming model
  • Understanding of Pig Latin scripting language
  • Ability to optimize and tune Pig scripts for performance
Reason #2

No trick questions

no trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface
Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

These are just a small sample from our library of 10,000+ questions. The actual questions on this Big Data - Pig Test will be non-googleable.

🧐 Question


Count number of occurrences
Chusk works as Hadoop developer at Pesla Inc. Chusk is tasked with processing input data to count number of occurrences of each unique word. Chusk did the following to achieve this:

1. Tokenize each word and emit lateral value 1 with Mapper
2. Reducer increments counter for each literal 1 it receives
Chusk is now tasked with optimizing this by using a combiner. Will Chusk be able to reuse existing reducers as combiners?
A: Yes
B: No
C: Because the sum operation is both associative and commutative and the input and output types to the reduce method match
D: Because the sum operation in the Reducer is incompatible with the operation of a combiner
E: Because the combiner is incompatible with a Mapper, which doesn't use the same data type for both the key and value
F: Insufficient information


Hive ngrams
Assuming the following Hive statements execute successfully, choose the correct statements that describe the result:

from fooddata select context_ngrams(sentences(lines),
array("twiggy", "romato", null), 68);

A. A bigram of the top 68 sentences that contain the substring "twiggy romato" in the lines column of the input data A1 table.
B. An 68-value ngram of sentences that contain the words "twiggy" or "romato" in the lines column of the fooddata table.
C. A trigram of the top 68 sentences that contain "twiggy romato" followed by a null space in the lines column of the fooddata table.
D. A frequency distribution of the top 68 words that follow the subsequence "twiggy romato" in the lines column of the fooddata table.


P Q relations
Consider the following two relations, P and Q:
What is the output of the following Pig command?

Q = GROUP P BY p2;
🧐 Question🔧 Skill


Count number of occurrences

3 mins



Hive ngrams

2 mins



P Q relations

2 mins

🧐 Question🔧 Skill💪 Difficulty⌛ Time
Count number of occurrences
Easy3 mins
Hive ngrams
Medium2 mins
P Q relations
Easy2 mins
Reason #4

1200+ customers in 75 countries

customers in 75 countries

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!

Brandon Lee, Head of People, Love, Bonito

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Big Data - Pig Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests
Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Big Data - Pig Test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

invite candidates
Reason #7

Detailed scorecards & benchmarks

View sample scorecard
Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

test completion rate
Reason #9

Advanced Proctoring

Learn more

About the Pig Assessment Test

Why you should use Pre-employment Pig Online Test?

The Big Data - Pig Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

  • Working knowledge of Apache Pig and its ecosystem
  • Understanding of Hadoop and its components
  • Proficiency in MapReduce programming paradigm
  • Ability to write Pig Latin scripts for data processing
  • Knowledge of Pig Latin functions and their usage
  • Experience in debugging and optimizing Pig scripts
  • Familiarity with Apache Pig UDFs (User Defined Functions)
  • Understanding of Pig Latin data types and schemas
  • Knowledge of Pig Latin built-in functions and operators
  • Ability to analyze and process large data sets efficiently

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Pig Online Test?

  • Pig

    Pig is a high-level scripting language developed for Apache Hadoop, used for analyzing large data sets. It provides a simple and expressive way to handle data, allowing users to write complex MapReduce tasks easily. Measuring Pig skills in this test helps recruiters assess the candidate's ability to process and analyze big data efficiently.

  • Big Data Analysis

    Big Data Analysis refers to the process of examining and interpreting large and complex data sets to uncover hidden patterns, trends, and insights. Measuring Big Data Analysis skills in this test enables recruiters to evaluate a candidate's proficiency in processing and analyzing massive amounts of data, which is essential in today's data-driven world.

  • Hadoop

    Hadoop is an open-source framework that enables distributed storage and processing of large data sets across clusters of computers. Measuring Hadoop skills in this test helps recruiters gauge a candidate's understanding of this popular technology and their ability to work with distributed systems effectively.

  • Full list of covered topics

    The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Big Data - Pig Test to be based on.

    Pig Latin
    Loading and storing data in Pig
    Filtering and transforming data in Pig
    Joining and grouping data in Pig
    Using built-in functions in Pig
    Working with Pig UDFs
    Debugging and troubleshooting in Pig
    Performance optimization in Pig
    Pig and Hadoop integration
    Hadoop Distributed File System (HDFS)
    Hadoop MapReduce framework
    Hadoop YARN resource management
    Hadoop ecosystem components (Hive, HBase, etc.)
    Input formats in Hadoop
    Output formats in Hadoop
    Mapper and Reducer classes
    Hadoop cluster setup and configuration
    Hadoop job submission and monitoring
    Data serialization in Hadoop
    Hadoop batch processing
    Hadoop streaming
    MapReduce partitioning and sorting
    Combiners and partitioners in MapReduce
    MapReduce input and output formats
    MapReduce counters
    MapReduce job chaining
    Distributed cache in MapReduce
    Job scheduling and task scheduling in Hadoop
    Hadoop security and authentication
    Pig and MapReduce integration

What roles can I use the Pig Online Test for?

  • Big Data Developer
  • Big Data Developer - Pig

How is the Pig Online Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

  • Experience in working with Pig Latin joins and aggregations
  • Understanding of Hadoop Distributed File System (HDFS)
  • Familiarity with Pig Latin transformations and filters
  • Proficiency in writing MapReduce programs in Java
  • Knowledge of Hadoop cluster setup and configuration
  • Ability to troubleshoot and resolve Pig execution errors
  • Experience in working with Pig Latin control structures
  • Understanding of data loading and storing in Pig
  • Knowledge of Pig Latin data transformations
  • Ability to perform data validation and cleansing in Pig
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The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.

reduction in screening time

Pig Hiring Test FAQs

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

  • Non-googleable questions
  • IP proctoring
  • Screen proctoring
  • Web proctoring
  • Webcam proctoring
  • Plagiarism detection
  • Secure browser
  • Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

Yes, you can sign up for free and preview this test.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

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40 min tests.
No trick questions.
Accurate shortlisting.
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