Why you should use Hadoop Online Test?

The Hadoop Online 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: Installing and configuring Hadoop clusters Core Hadoop architecture including HDFS, YARN, and MapReduce Writing efficient Hive and Pig queries Publishing data to clusters Handling streaming data Working with different file formats Troubleshooting and monitoring Optimizing Hadoop cluster performance Implementing data security in Hadoop Designing and implementing Hadoop data models

Hadoop Online Test

About the 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.

Covered skills:

Installing and configuring Hadoop clusters
Writing efficient Hive and Pig queries
Handling streaming data
Troubleshooting and monitoring

Core Hadoop architecture (HDFS; YARN; MapReduce)
Publishing data to clusters
Working with different file formats

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9 reasons why

Adaface Hadoop Test is the most accurate way to shortlist Hadoop Admins

Reason #1

Tests for on-the-job skills

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

Reason #2

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

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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 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: What is the output of the following Pig command? Q = GROUP P BY p2; DUMP Q;

	🧐 Question	🔧 Skill
	Easy Count number of occurrences Mappers Reducers	3 mins Hadoop	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	2 mins Hadoop	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	2 mins Hadoop	Solve
Consider the following two relations, P and Q: What is the output of the following Pig command? Q = GROUP P BY p2; DUMP Q;

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Count number of occurrences Mappers Reducers	Hadoop	Easy	3 mins	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
	Hive ngrams	Hadoop	Medium	2 mins	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.
	P Q relations Pig	Hadoop	Easy	2 mins	Solve
Consider the following two relations, P and Q: What is the output of the following Pig command? Q = GROUP P BY p2; DUMP Q;

Reason #4

1200+ 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

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Hadoop Online 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 Hadoop Online 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.

Reason #7

Detailed scorecards & benchmarks

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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.

Reason #9

Advanced Proctoring

Learn more

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About the Hadoop Assessment Test

Why you should use Pre-employment Hadoop Online Test?

The Hadoop Online 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:

Installing and configuring Hadoop clusters
Core Hadoop architecture including HDFS, YARN, and MapReduce
Writing efficient Hive and Pig queries
Publishing data to clusters
Handling streaming data
Working with different file formats
Troubleshooting and monitoring
Optimizing Hadoop cluster performance
Implementing data security in Hadoop
Designing and implementing Hadoop data models

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 Hadoop Online Test?

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.
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 Hadoop Online Test to be based on.
Installing Hadoop
Configuring Hadoop clusters
Hadoop distributed file system (HDFS)
YARN resource management
MapReduce programming model
Hive query language
Pig scripting
Publishing data to Hadoop clusters
Processing streaming data in Hadoop
Working with Avro file format
Working with Parquet file format
Working with ORC file format
Handling JSON data in Hadoop
How to troubleshoot Hadoop performance issues
Monitoring Hadoop clusters
Securing Hadoop clusters
Data ingestion techniques in Hadoop
Data processing workflows in Hadoop
Optimizing Hadoop jobs
Understanding Hadoop ecosystem components
Working with Hadoop command line tools
Analyzing Hadoop logs
Managing Hadoop clusters
Backup and recovery strategies for Hadoop
Working with Apache Spark
Hadoop cluster tuning
Handling data skew in Hadoop
Using Hadoop connectors
Hadoop data compression techniques
Data serialization in Hadoop
Hadoop cluster deployment models
Design patterns for Hadoop
Data repartitioning in Hadoop
Hadoop high availability
Job scheduling in Hadoop
Data partitioning in Hadoop
Understanding Hadoop distributed cache
Hadoop data locality
Using Hadoop streaming
File input/output in Hadoop
Understanding Hadoop configuration files
YARN application lifecycle
Hadoop input/output formats
Speculative execution in Hadoop
Understanding Hadoop resource management
Hadoop security mechanisms
Managing Hadoop users and groups
Hadoop cluster sizing and capacity planning
Hadoop data encryption
HDFS data replication
Working with Hadoop libraries
Working with Hadoop ecosystem tools

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What roles can I use the Hadoop Online Test for?

Hadoop Admin
Hadoop Engineer
Hadoop Tester
Hadoop Application Developer
Big Data Developer - Hadoop
Senior Big Data Engineer - Hadoop
Senior Hadoop Administrator

How is the Hadoop 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 with Hadoop ecosystem tools like Spark, HBase, and Impala
Managing and tuning Hadoop clusters
Fine-tuning and optimizing MapReduce jobs
Experience with Hadoop data ingestion and processing tools
Implementing high availability and disaster recovery for Hadoop clusters
Writing and optimizing Apache Hive queries for large datasets
Experience with data warehousing concepts and technologies
Designing and implementing data pipelines in Hadoop
Working with distributed computing frameworks in Hadoop
Experience with real-time data processing in Hadoop

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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.

85%

reduction in screening time

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Hadoop Hiring Test FAQs

Can I evaluate Hadoop and Spark in the same test?

Yes. You can evaluate multiple skills in the same test. If your Hadoop job description requires candidates to have experience with Hadoop and Apache Spark, we include questions on both the skills. You can check our standard Spark Online Test to understand what kind of questions will be used to evaluate Spark knowledge.

Can I evaluate other Big Data technologies like Hive, Pig, SQL in the same test?

Yes. Big Data roles at different companies require candidates to have experience in different technologies. We support customizing the assessments to work for your job description. This includes including questions to evaluate multiple skills in the same test. Popular Hadoop roles require candidates to have experience with related technologies like Hive, Pig, SQL, Spark. If you require, we include questions on these topics in the same test so that you can identify the right candidates for your company. You can check our standard SQL Online Test and Spark Online Test to see how those skills are evaluated.

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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Hadoop Online Test

Adaface Hadoop Test is the most accurate way to shortlist Hadoop Admins

Tests for on-the-job skills

No trick questions

Non-googleable questions

1200+ customers in 75 countries

Designed for elimination, not selection

1 click candidate invites

Detailed scorecards & benchmarks

High completion rate

Advanced Proctoring

About the Hadoop Assessment Test

Why you should use Pre-employment Hadoop Online Test?

What topics are covered in the Hadoop Online Test?

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

Full list of covered topics

What roles can I use the Hadoop Online Test for?

How is the Hadoop Online Test customized for senior candidates?

Hadoop Hiring Test FAQs

Can I evaluate Hadoop and Spark in the same test?

Can I evaluate other Big Data technologies like Hive, Pig, SQL in the same test?

Can I combine multiple skills into one custom assessment?

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

How do I interpret test scores?

What experience level can I use this test for?

Does every candidate get the same questions?

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

What is the cost of using this test?

Can I get a free trial?

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

Related Tests

Hive Test

Spark Test

MapReduce Test

Big Data - Sqoop Test

Big Data - Pig Test

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