Scala Certification

Scala certification syllabus & coverage

This certification tests genuine comprehension of Scala language fundamentals, idiomatic patterns, data structures, and production practices. Questions are sampled across all course modules:

• Getting Started: What Scala is, why Spark and Kafka teams hire for it, how to install Scala 3 with Coursier or scala-cli, and your first program run line by line.
• Fundamentals: val versus var, type inference, the basic types, string interpolation with s, f and raw, operators as methods, keyboard input and safe conversions.
• Expressions & Control: In Scala if, match, blocks and for all return values. Learn control flow as expressions, while loops, for-comprehensions with yield, and optional braces.
• Functions: def, default and named arguments, recursion with @tailrec, lambdas and the _ placeholder, methods vs functions, currying, by-name parameters and varargs.
• Classes, Objects & Traits: Classes and constructors, private members, singleton and companion objects, traits and mixins, inheritance with override, enums and opaque types.
• Case Classes & Pattern Matching: Case classes, sealed traits and ADTs, exhaustive match, every kind of pattern, list and Option patterns, custom extractors and enums with parameters.
• Collections: Immutable and mutable collections, List, Vector, Array, Set, Map and ranges, the everyday operations, LazyList, and converting between them.
• Higher-Order Functions: Functions that take and return functions: map, flatMap and filter, how for-comprehensions desugar, composition, partial application, closures, partial functions and your own HOFs.
• Option, Either & Try: Model missing values with Option, failures with Either and exceptions with Try, chain them with map, flatMap and for, and build a validation pipeline.
• Generics & Givens: Type parameters, variance and bounds, extension methods, and type classes built from traits, given instances, using clauses and context bounds.
• Futures & Concurrency: Run work concurrently with Future and an ExecutionContext, compose it with map, flatMap and for, handle failures, and share state safely with atomics.
• Errors & Debugging: Read Scala compiler errors and JVM stack traces calmly, fix the 15 errors every Scala beginner hits, and debug with println, tap, the REPL and a real debugger.
• Scala + Tools: Scala as it is used at work: sbt builds and MUnit tests, Apache Spark, Kafka, PostgreSQL, Redis, AWS, Docker and CI, each as a small, focused lab.
• Data Structures & Algorithms: Build stacks, queues, linked lists, trees, heaps and graphs by hand in Scala, then pick the right List, Vector, Map, Queue or PriorityQueue by its cost.
• Problem Solving: A repeatable way to crack coding problems in Scala: read it, break it down, test small cases, then apply one of eight patterns that cover most interviews.
• Interview Questions: 60 Scala interview questions with model answers, from val and case classes to type classes, variance, Futures and Spark tuning, plus a coding round and take-home checklist.
• Job Ready: What a Scala resume must show for data engineering and backend roles, three portfolio projects that get callbacks, where the jobs are, and the exam.

Exam rules & grading

The exam features 25 multiple-choice questions with a time limit of 35 minutes. A passing score of 70% or higher issues a permanent certificate with a verifiable credential ID that can be attached directly to your resume and LinkedIn Profile.

Frequently asked questions