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Spark Online Test

The Apache Spark Online Test evaluates the candidate's ability to transform structured data with RDD API and SparkSQL (Datasets and DataFrames), convert big-data challenges into iterative/ multi-stage Spark scripts, optimize existing Spark jobs using partitioning/ caching and analyze graph structures using GraphX.

Customized Based On:

  • Experience/ difficulty level
  • Multiple skills in 1 assessment
  • Job description/ role requirements

Covered Topics:

Fundamentals of Spark Core
Developing and running Spark jobs (Java; Scala; Python)
Spark Resilient Distributed Datasets (RDD)
Data processing with Spark SQL
Dataframes and Datasets
Spark Streaming to process real-time data
Running Spark on a cluster
Implementing iterative and multi-stage algorithms
Tuning and troubleshooting Spark jobs in a cluster
Graph/ Network analysis with GraphX library
Migrating data from data sources/ databases
See full list
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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.

Human Resources Manager

Singapore Government

reduction in screening time

Sample Spark Online Test Questions

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

🧐 Question🔧 Skill💪 Difficulty⌛ Time
Character count
Penny created a jar file for her character count example written in Java. The jar name is attempt.jar and the main class is, which requires an input file name and output directory as input parameters. Which of the following is the correct command to submit a job in Spark with the given constraints?


  • A
  • B
  • C
  • D
SparkMedium2 min
File system director
Review the following Spark job description:

1. Monitor file system director for new files.
2. For new files created in the “/rambo” dictionary, perform word count

Which of the following snippets achieve this?


  • A
  • B
  • Both A and B
  • Neither A nor B
Spark Scala API Spark Streaming
SparkMedium3 min
Consider the following Spark DataFrame:
Which of the given code fragments produce the following result:


  • A
  • B
  • C
  • D
  • A B
  • A C
  • A D
  • B C
  • B D
  • C D
Spark Scala API DataFrame
SparkMedium4 min

How to use the Adaface Spark Online Test

Start screening candidates within minutes with the ready-to-go Spark Test

1. Choose the most appropriate test for your role

2. Start inviting candidates to complete the assessment

3. Receive real time notifications and shortlist the best candidates

Customize the Adaface Spark Test according to your job description

1. Get a custom assessment from our library of 500+ skills within 48 hours

2. Start inviting candidates to complete the assesment

3. Receive real time notifications and shortlist the best candidates

Adaface Spark Test is trusted by enterprises worldwide

Morgan Stanley
SG Government
Ernst and Young
Optimum Solutions
United Nations
Love Bonito

About the Adaface Spark Assessment Test

Evaluate Spark technical skills with Adaface skills assessment platform powered by an intelligent chatbot.


Spark Core
Spark SQL
Spark Streaming
Spark MLlib
Resilient Distributed Datasets (RDD)
Hadoop clusters
Lazy evaluation
Structured streaming
Spark Scala API
Spark Java API
Spark Python API
Job Scheduling
Configuration and monitoring
Broadcast variables and accumulators
Data sources and sinks
Integrating with Hive and Hadoop
Data persistence and cache

Recommended Roles:

Software Developer - Spark
Spark Developer
Big Data Engineer
Senior Spark Developer
Scala Big Data Developer
Senior Big Data Engineer
Spark Engineer

Why you should use this Spark online test?

Spark online test screens candidates for the following common skills hiring managers look for:

  • Fundamentals of Spark Core and Spark architecture
  • Developing Spark scripts/ jobs using Python API, Java API or Scala API
  • Working with RDDs in Spark, different types of actions and transformations to process and analyze large datasets
  • Working with data sources, sinks and aggregating data with Pair RDDs
  • Creating and Working with Spark Context, DataFrames, and DataSets
  • Working with structured data using Spark SQL (Spark SQL Clauses: Distribute by, order by, clustered by, sort by; Window functions: rank, row_number, dense_rank)
  • Processing continuous streams of data in real-time using Spark Streaming
  • Loading data from HDFS for use in Spark applications & writing the results back into HDFS using Spark
  • Performing standard extract, transform, load (ETL) processes on data using the Spark API
  • Reading and writing files in a variety of file formats
  • Analyzing networks and graphs with GraphX

Along with these the test also has code-tracing MCQ questions and coding questions to evaluate hands-on Scala/ Java/ Python programming skills.

How is the test customized for Senior Apache Spark Developers?

The questions for Senior Spark Developers will be of a higher difficulty level and are based on advanced topics like:

  • Deploying Spark in a cluster and sharing information between nodes using broadcast variables and accumulators
  • Deep understanding of Spark internal architecture - batch and streaming data, DAG scheduler, query optimizer, and execution engine
  • Improving Spark's performance with persistence and partitioning
  • Using Spark's MLlib to create Machine Learning Models
  • Simulating fault tolerance situations and recovery
  • Using Spark with Random Forests for Classification
  • Using Spark's Gradient Boosted Trees
  • Implementing iterative algorithms such as breadth-first-search
  • Integration of Spark with Hive Warehouse (Hive Optimization Concepts like Partition, Bucketing, Joins)
  • Limitations of MapReduce and the role of Spark in overcoming these limitations
  • Deploying Spark on Hadoop, Apache Mesos, Kubernetes, standalone

Additionally, the MCQs and coding questions to evaluate Scala/ Java/ Python skills will be of higher difficulty levels.

Distribution Of Test Scores

The actual score distribution will vary based on your candidate pipeline quality, but you should typically expect ~20% of the candidates to do well on Adaface assessments.

The score distribution for our assessments follow the normal curve. This is a good sign- standardized tests like SAT and GRE follow the normal distribution (bell curve).

Status quo assessments typically have the exact opposite of the bell curve (too many candidates getting close to 0, too many candidates getting close to 100 and too few candidates in the middle). This is typically because they focus on theoretical questions or trick questions, which are very binary in nature- either you know the trick/ theory or you don’t.

How Adaface Is Different

Adaface conversational assessments are reflective of on-the-job skills and see an 86% completion rate as compared to ~50% for traditional assessment platforms.



Theoretical questions/ puzzles

Feels like a test

One-size-fits-all assessments




Questions for on-the-job skills





How is the test customized based on programming languages?

Spark supports different programming languages like Java, Scala, Python and R. We customize Spark tests according to programming language in the following ways:

  • The code snippets in scenario-based Spark MCQ questions will be of the programming language you pick
  • MCQ questions designed to evaluate the particular programming language will be added to the assessment
  • Coding questions to be programmed in the chosen programming language will be added to the assessment

You can check our standard Java, Scala, and Python tests to get a sense of question quality.

What is a custom assessment?

Every role is different and requires a custom assessment to identify top candidates efficiently. Adaface subject matter experts understand your job description/ role requirements and pick the most relevant questions from our library of 10000+ questions to create a technical assessment that helps you find the qualified candidates in your candidate pipeline quickly. All custom assessments are set up based on the job description, role requirements, must-have skills, experience level and salary range within a maximum of 48 hours and you will get an email notification once it goes live.

Check out a sample assessment here (no credit card required).

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.

How is Adaface different from other assessment tools?

We believe that status quo tech assessment platforms are not a fair way for companies to evaluate engineers because they focus on trick questions/ puzzles/ niche algorithms. We started Adaface to help companies find great engineers by assessing on-the-job skills required for a role. Read more about why we started Adaface.

Here's what's different with Adaface:

  • High quality non-googleable questions that test for on-the-job skills as opposed to theoretical knowledge.
  • A friendly conversational assessment with a chatbot, instead of sending a "test" to a candidate. This translates to a higher completion rate. Adaface assessments (86% candidate completion rate), as opposed to traditional tests (40-50% candidate completion rate)
  • Customized assessments for 700+ skills at different experience levels.

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

We have the following anti-cheating features in place:

  • Web proctoring
  • Webcam proctoring
  • Plagairism detection
  • Non-googleable questions
  • Secure browser

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?

The platform is completely self-serve, so here's one way to proceed:

  • You can sign up for free to get a feel for how it works.
  • The free trial includes one sample assessment (Java/ JavaScript) 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 a conversational test on Adaface.
  • To review the quality of questions, you can also review our public questions for 50+ skills here.
  • Once you're convinced that you want to try it out with real assessments and candidates, you can pick a plan according to your requirements.

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.

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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