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Erlang (Coding): Data Structures Test

The Erlang Data Structures Test evaluates a candidate's proficiency in using and manipulating Erlang's core data structures. It assesses knowledge of lists, tuples, maps, records, and advanced concepts like ETS tables through MCQs and coding questions. The test covers pattern matching, recursion, list comprehensions, and efficient data handling in concurrent and distributed systems, crucial for building robust Erlang applications.

Covered skills:

  • Lists and Tuples
  • Maps and Records
  • Pattern Matching
  • Recursion
  • List Comprehensions
  • Binary Data and Bitstrings
  • Processes and Concurrency
  • Error Handling
  • Higher-Order Functions
  • Modules and Functions
  • ETS Tables
  • DETS Tables

About the Erlang (Coding): Data Structures Assessment Test


The Erlang (Coding): Data Structures 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:

  • Proficient in manipulating and processing lists and tuples, essential data structures in Erlang
  • Skilled in creating and working with maps and records for structured data representation
  • Adept at utilizing pattern matching for efficient data extraction and control flow
  • Capable of implementing recursive algorithms for solving complex problems
  • Experienced in using list comprehensions for concise and readable list processing
  • Knowledgeable in handling binary data and bitstrings for efficient data storage and manipulation
  • Competent in working with Erlang's process-based concurrency model
  • Able to implement robust error handling mechanisms using Erlang's try-catch constructs
  • Proficient in applying higher-order functions for functional programming paradigms
  • Skilled in organizing code into modules and defining functions with proper interfaces
  • Capable of using ETS tables for efficient in-memory data storage and retrieval
  • Experienced in working with DETS tables for persistent data storage

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Why you should use Pre-employment Erlang (Coding): Data Structures Test?

The Erlang (Coding): Data Structures 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:

  • Creating and manipulating lists and tuples in Erlang
  • Implementing pattern matching for data structures
  • Writing recursive functions for list processing
  • Using list comprehensions for data transformation
  • Working with maps and records for structured data
  • Handling binary data and bitstrings efficiently
  • Implementing basic concurrent programming with processes
  • Applying error handling techniques in Erlang
  • Utilizing higher-order functions for functional programming
  • Organizing code into modules and defining functions

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 Erlang (Coding): Data Structures Test?

Lists and Tuples: Lists and tuples are fundamental data structures in Erlang. Lists are used for storing collections of elements, while tuples are fixed-size containers. Proficiency in these structures is crucial for efficient data manipulation and storage in Erlang programs.

Maps and Records: Maps are key-value data structures introduced in Erlang R17. Records provide a way to create structured data with named fields. These structures are essential for organizing complex data and improving code readability.

Pattern Matching: Pattern matching is a powerful feature in Erlang for destructuring data and control flow. It allows for concise and expressive code, enabling developers to easily extract values from complex data structures. This skill is vital for writing idiomatic and efficient Erlang code.

Recursion: Recursion is a fundamental concept in functional programming and is heavily used in Erlang. It allows for elegant solutions to complex problems and is often used in place of traditional loops. Mastery of recursion is crucial for writing efficient and maintainable Erlang code.

List Comprehensions: List comprehensions provide a concise way to create lists based on existing lists. They offer a powerful tool for data transformation and filtering. Understanding list comprehensions is important for writing expressive and efficient list processing code in Erlang.

Binary Data and Bitstrings: Erlang provides robust support for working with binary data and bitstrings. These features are crucial for handling network protocols, file I/O, and low-level data manipulation. Proficiency in this area is essential for developing high-performance, data-intensive applications.

Processes and Concurrency: Erlang's lightweight processes and built-in concurrency model are key strengths of the language. Understanding how to create, manage, and communicate between processes is fundamental to leveraging Erlang's power in building scalable, fault-tolerant systems.

Error Handling: Erlang's approach to error handling, including the 'let it crash' philosophy and supervision trees, is unique and powerful. Mastery of error handling techniques is crucial for building robust, self-healing systems that can gracefully handle failures.

Higher-Order Functions: Higher-order functions are functions that can take other functions as arguments or return them as results. They are a powerful tool for abstraction and code reuse in functional programming. Proficiency in using higher-order functions is important for writing flexible and modular Erlang code.

Modules and Functions: Erlang's module system provides a way to organize and encapsulate code. Understanding how to define, export, and use functions across modules is fundamental to structuring Erlang applications. This skill is essential for building maintainable and scalable codebases.

ETS Tables: Erlang Term Storage (ETS) tables provide a powerful in-memory database capability. They offer high-performance options for storing and retrieving data within Erlang applications. Proficiency in ETS is important for optimizing data access in performance-critical systems.

DETS Tables: Disk-based Erlang Term Storage (DETS) tables extend the capabilities of ETS to persistent storage. They allow for efficient storage and retrieval of Erlang terms on disk. Understanding DETS is crucial for developing applications that require persistent data storage with Erlang-native data structures.

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 Erlang (Coding): Data Structures Test to be based on.

List operations
Tuple manipulation
Map creation
Record syntax
Pattern matching
Recursive functions
Tail recursion
List comprehensions
Binary parsing
Bitstring operations
Process spawning
Message passing
Error handling
Exception types
Higher-order functions
Anonymous functions
Module attributes
Function clauses
ETS table types
ETS operations
DETS tables
File persistence
List concatenation
Tuple indexing
Map updates
Record fields
Guard expressions
Accumulator recursion
Binary comprehensions
Bit syntax
Process linking
Selective receives
Try-catch blocks
Raise exceptions
Function composition
Currying
Module imports
Function arity
ETS concurrency
DETS file format
List folding
Tuple unpacking
Map matching
Record updating
Case expressions
Recursive data structures
Binary to term
Process monitoring
Timeout handling
Function references
Module behaviors

What roles can I use the Erlang (Coding): Data Structures Test for?

  • Erlang Developer
  • Backend Engineer
  • Distributed Systems Engineer
  • Telecom Software Developer
  • IoT Developer
  • Functional Programmer
  • Real-time Systems Developer
  • Scalable Systems Architect
  • Elixir Developer
  • Network Protocol Engineer

How is the Erlang (Coding): Data Structures 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

  • Designing and implementing ETS tables for in-memory storage
  • Managing DETS tables for persistent data storage
  • Optimizing pattern matching for complex data structures
  • Implementing advanced recursion techniques for tree traversal
  • Utilizing advanced list comprehensions with guards
  • Designing efficient binary protocols for data exchange
  • Implementing complex concurrent systems with supervision trees
  • Applying advanced error handling strategies for robust applications
  • Developing custom higher-order functions for specific use cases
  • Optimizing ETS and DETS tables for high-performance applications

The coding question for experienced candidates will be of a higher difficulty level to evaluate more hands-on experience.

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Have questions about the Erlang (Coding): Data Structures Hiring Test?

What is Erlang (Coding): Data Structures Test?

The Erlang (Coding): Data Structures Test is designed to assess a candidate's knowledge and skills in working with various data structures in Erlang. It is used by recruiters to find the best candidates for roles requiring strong proficiency in Erlang programming.

Can I combine Erlang (Coding): Data Structures Test with Python Coding tests?

Yes, recruiters can request a custom test that includes questions from both the Erlang (Coding): Data Structures Test and the Python (Coding): Data Structures Test. This allows you to assess candidates' proficiency in multiple programming languages in one test.

What topics are evaluated in the Erlang (Coding): Data Structures Test?

This test covers various skills such as Lists, Tuples, Maps, Records, Binary Data, ETS Tables, Pattern Matching, List Comprehensions, Recursion, Higher-Order Functions, and Distributed Data Structures. It also includes MCQs and coding questions designed to assess these skills.

How to use Erlang (Coding): Data Structures Test in my hiring process?

We recommend using this test as a pre-screening tool early in the recruitment process. You can add a link to the assessment in your job post or directly invite candidates by email. This helps in identifying the most skilled candidates quickly.

Can I test Erlang and Python skills together in a test?

Yes, you can test both Erlang and Python skills together. This approach is recommended for roles requiring proficiency in multiple programming languages. Check out our Erlang (Coding): Data Structures Test and Python (Coding): Data Structures Test for more details.

What other Erlang-related tests are available?

In addition to the Erlang (Coding): Data Structures Test, we offer other relevant tests such as the Erlang Online Test and the Erlang (Coding): Debugging Test.

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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