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Hadoop Online Test

The Hadoop Online Test uses scenario-based MCQ questions to evaluate candidates' ability to install Hadoop clusters on the cloud, run optimized MapReduce jobs on Hadoop clusters and write efficient Pig instructions and Hive queries to perform data analysis on complex datasets. The test screens for core Hadoop framework knowledge that hiring managers look for in Hadoop developers and administrators.

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Screen candidates with a 40 mins test

Test duration:  ~ 40 mins
Difficulty level:  Moderate
Availability:  Available as custom test
Questions:
  • 15 Hadoop MCQs
Covered skills:
Installing and configuring Hadoop clusters
Core Hadoop architecture (HDFS; YARN; MapReduce)
Writing efficient Hive and Pig queries
Publishing data to clusters
Handling streaming data
Working with different file formats
Troubleshooting and monitoring
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Use the Hadoop Test to shortlist qualified candidates

The Hadoop 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 install and configure Hadoop clusters
  • Understanding of core Hadoop architecture (HDFS, YARN, MapReduce)
  • Proficiency in writing efficient Hive and Pig queries
  • Capability to publish data to clusters
  • Able to handle streaming data
  • Knowledge of working with different file formats
  • Skill in troubleshooting and monitoring
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Screen candidates with the highest quality 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 15,000+ questions. The actual questions on this Hadoop Online Test will be non-googleable.

🧐 Question

Easy

Count number of occurrences
Mappers
Reducers
Solve
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

Medium

Hive ngrams
Solve
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.

Easy

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

Q = GROUP P BY p2;
DUMP Q;
 image
🧐 Question🔧 Skill

Easy

Count number of occurrences
Mappers
Reducers

3 mins

Hadoop
Solve

Medium

Hive ngrams

2 mins

Hadoop
Solve

Easy

P Q relations
Pig

2 mins

Hadoop
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Count number of occurrences
Mappers
Reducers
Hadoop
Easy3 mins
Solve
Hive ngrams
Hadoop
Medium2 mins
Solve
P Q relations
Pig
Hadoop
Easy2 mins
Solve

Test candidates on core Hadoop Hiring Test topics

Installing and configuring Hadoop clusters: This skill involves setting up and configuring multiple machines to work together as a distributed cluster, with Hadoop software installed on each node. It requires knowledge of system administration, networking, and understanding the Hadoop ecosystem.

Core Hadoop architecture (HDFS; YARN; MapReduce): This skill covers the fundamental components of Hadoop, including the Hadoop Distributed File System (HDFS) which provides reliable storage, YARN for resource management and job scheduling, and MapReduce for processing large datasets in parallel. Understanding this architecture is crucial for designing and optimizing Hadoop applications.

Writing efficient Hive and Pig queries: This skill involves writing queries in Hive and Pig, which are high-level languages used for processing and analyzing data in Hadoop. Writing efficient queries is important for achieving optimal performance and extracting valuable insights from large datasets.

Publishing data to clusters: This skill requires the ability to import data from external sources into Hadoop clusters, ensuring data is properly formatted and optimized for storage. It also involves managing data replication, compression, and security to ensure data integrity and availability within the cluster.

Handling streaming data: This skill involves processing and analyzing real-time streaming data in Hadoop. It requires knowledge of technologies like Apache Kafka or Apache Storm to ingest and process data as it is generated, enabling real-time analytics and decision-making.

Working with different file formats: This skill involves working with various file formats, such as CSV, JSON, Avro, or Parquet, in Hadoop. It requires understanding file formats and their specific advantages and trade-offs for different use cases, as well as knowledge of tools to process and transform data in different formats.

Troubleshooting and monitoring: This skill is about identifying and resolving issues in Hadoop clusters, such as performance bottlenecks, data inconsistencies, or configuration problems. It involves using various monitoring tools and diagnostic techniques to ensure the smooth operation of the Hadoop environment.

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Have questions about the Hadoop Hiring Test?

How does pricing work?

You can check out our pricing plans.

Can I customize the test?

Yes, absolutely. Custom assessments are set up within 48 hours 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. You can also customize a test by uploading your own questions.

Can I combine multiple skills into one test?

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.

What roles can I use the Hadoop Test for?

Here are few roles for which we recommend this test:

  • Hadoop Admin
  • Hadoop Engineer
  • Hadoop Tester
  • Hadoop Application Developer
  • Big Data Developer - Hadoop
  • Senior Big Data Engineer - Hadoop
  • Senior Hadoop Administrator
Can I see a sample test, or do you have a free trial?

Yes!

The free trial includes one sample technical test (Java/ JavaScript) and one sample aptitude test that you will find in your dashboard when you sign up. You can use it to review the quality of questions and the candidate experience of giving a test on Adaface.

You can preview any of the 500+ tests and see the sample questions to decide if it would be a good fit for your requirements.

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.

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.

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