JSON Test

About the test:

The JSON Online Test uses scenario-based MCQs to evaluate candidates' ability to create and parse JSON (JavaScript Object Notation) data, as well as their understanding of data structures, encoding, and decoding. Other key skills that the test evaluates include JavaScript programming, web development, data serialization, RESTful APIs, and data exchange between different programming languages.

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9 reasons why

Adaface JSON Assessment Test is the most accurate way to shortlist Software Developers

Reason #1

Tests for on-the-job skills

The JSON 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:

Understanding the basics of JSON syntax and structure
Ability to parse and manipulate JSON data
Knowledge of JSON schema validation
Experience with serializing and deserializing JSON
Understanding JSONP and CORS concepts
Ability to handle nested JSON structures
Knowledge of JSON web tokens (JWT)
Familiarity with JSON-RPC protocol
Experience with working with RESTful JSON APIs
Ability to validate and format JSON using tools like JSONLint

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.

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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 JSON Test will be non-googleable.

🧐 Question
Easy JSON Schema: Pick valid data	Solve
Consider the following JSON Schema specification: { "type": "object", "properties": { "ProductID": { "type":"string", "pattern":"Product*" }, "ProductName": { "type":"string" }, "Price": { "type":"integer", "minimum":20, "maximum":200 }, "Shippers": { "type":"array", "maxItems":4, "items": { "type":"string" }}, "Favourites": { "type":"array", "items": { "type": "object", "properties": {"User": {"type": "string", "optional": true}, "Rating": {"type": "integer", "minimum":1, "maxiumum":10}}}}, "AvgScore": { "type":"number", "optional":true }, "FreeCancellation": {"type":"boolean" } } } Select, from the choices below, the JSON data that is valid according to the JSON Schema specification above. OPTION A: { "ProductId": "Product123", "ProductName": "desk", "Price": "50", "Shippers": ["Amy","Pond"], "Favourites": [{"User":"Eleven", "Score":5}, {"Score":1}, {"User":"Mandosa", "Score":4}], "AvgScore": 3.33, "FreeCancellation": true } OPTION B: { "ProductId": "Product123", "ProductName": "desk", "Price": 50, "Shippers": ["Amy","Pond"], "Favourites": [ ], "AvgScore": 3.33, "FreeCancellation": true } OPTION C: { "ProductId": "Product123", "ProductName": "desk", "Price": 50, "Shippers": ["Amy Pond","Doctor Strange","Will","Clara Oswald", "Minnesota"], "Favourites": [{"User":"Eleven", "Score":5}, {"Score":1}, {"User":"Mandosa", "Score":4}], "AvgScore": 3.33, "FreeCancellation": true } OPTION D: { "ProductId": "123", "ProductName": "desk", "Price": 50, "Shippers": ["Amy","Pond"], "Favourites": {"User":"Amy", "Score":5}, "AvgScore": 3.33, "FreeCancellation": true }

🧐 Question

Easy

JSON Schema: Pick valid data

Solve

Consider the following JSON Schema specification:

{
"type": "object",
"properties":
{ "ProductID": { "type":"string", "pattern":"Product*" },
"ProductName": { "type":"string" },
"Price": { "type":"integer", "minimum":20, "maximum":200 },
"Shippers": { "type":"array", "maxItems":4,
"items": { "type":"string" }},
"Favourites": { "type":"array",
"items":
{ "type": "object",
"properties": {"User":
{"type": "string", "optional": true},
"Rating":
{"type": "integer", "minimum":1,
"maxiumum":10}}}},
"AvgScore": { "type":"number", "optional":true },
"FreeCancellation": {"type":"boolean" }
}
}

Select, from the choices below, the JSON data that is valid according to the JSON Schema specification above.

OPTION A:
{ "ProductId": "Product123",
"ProductName": "desk",
"Price": "50",
"Shippers": ["Amy","Pond"],
"Favourites": [{"User":"Eleven", "Score":5}, {"Score":1},
{"User":"Mandosa", "Score":4}],
"AvgScore": 3.33,
"FreeCancellation": true }

OPTION B:
{ "ProductId": "Product123",
"ProductName": "desk",
"Price": 50,
"Shippers": ["Amy","Pond"],
"Favourites": [ ],
"AvgScore": 3.33,
"FreeCancellation": true }

OPTION C:
{ "ProductId": "Product123",
"ProductName": "desk",
"Price": 50,
"Shippers": ["Amy Pond","Doctor Strange","Will","Clara Oswald", "Minnesota"],
"Favourites": [{"User":"Eleven", "Score":5}, {"Score":1},
{"User":"Mandosa", "Score":4}],
"AvgScore": 3.33,
"FreeCancellation": true }

OPTION D:
{ "ProductId": "123",
"ProductName": "desk",
"Price": 50,
"Shippers": ["Amy","Pond"],
"Favourites": {"User":"Amy", "Score":5},
"AvgScore": 3.33,
"FreeCancellation": true }

	🧐 Question	🔧 Skill
	Easy JSON Schema: Pick valid data	4 mins JSON	Solve
Consider the following JSON Schema specification: { "type": "object", "properties": { "ProductID": { "type":"string", "pattern":"Product*" }, "ProductName": { "type":"string" }, "Price": { "type":"integer", "minimum":20, "maximum":200 }, "Shippers": { "type":"array", "maxItems":4, "items": { "type":"string" }}, "Favourites": { "type":"array", "items": { "type": "object", "properties": {"User": {"type": "string", "optional": true}, "Rating": {"type": "integer", "minimum":1, "maxiumum":10}}}}, "AvgScore": { "type":"number", "optional":true }, "FreeCancellation": {"type":"boolean" } } } Select, from the choices below, the JSON data that is valid according to the JSON Schema specification above. OPTION A: { "ProductId": "Product123", "ProductName": "desk", "Price": "50", "Shippers": ["Amy","Pond"], "Favourites": [{"User":"Eleven", "Score":5}, {"Score":1}, {"User":"Mandosa", "Score":4}], "AvgScore": 3.33, "FreeCancellation": true } OPTION B: { "ProductId": "Product123", "ProductName": "desk", "Price": 50, "Shippers": ["Amy","Pond"], "Favourites": [ ], "AvgScore": 3.33, "FreeCancellation": true } OPTION C: { "ProductId": "Product123", "ProductName": "desk", "Price": 50, "Shippers": ["Amy Pond","Doctor Strange","Will","Clara Oswald", "Minnesota"], "Favourites": [{"User":"Eleven", "Score":5}, {"Score":1}, {"User":"Mandosa", "Score":4}], "AvgScore": 3.33, "FreeCancellation": true } OPTION D: { "ProductId": "123", "ProductName": "desk", "Price": 50, "Shippers": ["Amy","Pond"], "Favourites": {"User":"Amy", "Score":5}, "AvgScore": 3.33, "FreeCancellation": true }

🧐 Question

🔧 Skill

Easy

JSON Schema: Pick valid data

4 mins

JSON

Solve

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	JSON Schema: Pick valid data	JSON	Easy	4 mins	Solve
Consider the following JSON Schema specification: { "type": "object", "properties": { "ProductID": { "type":"string", "pattern":"Product*" }, "ProductName": { "type":"string" }, "Price": { "type":"integer", "minimum":20, "maximum":200 }, "Shippers": { "type":"array", "maxItems":4, "items": { "type":"string" }}, "Favourites": { "type":"array", "items": { "type": "object", "properties": {"User": {"type": "string", "optional": true}, "Rating": {"type": "integer", "minimum":1, "maxiumum":10}}}}, "AvgScore": { "type":"number", "optional":true }, "FreeCancellation": {"type":"boolean" } } } Select, from the choices below, the JSON data that is valid according to the JSON Schema specification above. OPTION A: { "ProductId": "Product123", "ProductName": "desk", "Price": "50", "Shippers": ["Amy","Pond"], "Favourites": [{"User":"Eleven", "Score":5}, {"Score":1}, {"User":"Mandosa", "Score":4}], "AvgScore": 3.33, "FreeCancellation": true } OPTION B: { "ProductId": "Product123", "ProductName": "desk", "Price": 50, "Shippers": ["Amy","Pond"], "Favourites": [ ], "AvgScore": 3.33, "FreeCancellation": true } OPTION C: { "ProductId": "Product123", "ProductName": "desk", "Price": 50, "Shippers": ["Amy Pond","Doctor Strange","Will","Clara Oswald", "Minnesota"], "Favourites": [{"User":"Eleven", "Score":5}, {"Score":1}, {"User":"Mandosa", "Score":4}], "AvgScore": 3.33, "FreeCancellation": true } OPTION D: { "ProductId": "123", "ProductName": "desk", "Price": 50, "Shippers": ["Amy","Pond"], "Favourites": {"User":"Amy", "Score":5}, "AvgScore": 3.33, "FreeCancellation": true }

🧐 Question

🔧 Skill

💪 Difficulty

⌛ Time

JSON Schema: Pick valid data

JSON

Easy

4 mins

Solve

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 JSON 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 JSON 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 JSON Online Test

Why you should use Pre-employment JSON Test?

The JSON 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:

Understanding and working with JSON data structures
Parsing and manipulating JSON data
Creating and modifying JSON objects
Validating JSON data
Serializing and deserializing JSON

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 JSON Test?

JSON
JSON (JavaScript Object Notation) is a lightweight data interchange format commonly used for transmitting data between a server and a web application. It is based on JavaScript syntax and provides a way to structure and represent data in a readable and organized manner. JSON is widely used in web development due to its simplicity, compatibility with different programming languages, and ease of parsing and generating data.
Test Automation
Test automation refers to the process of using automated tools and scripts to execute tests on software applications. It involves writing code to replicate manual test cases and perform them automatically, allowing for faster and more reliable testing. Test automation is a crucial skill to be measured in this test as it ensures the efficiency and accuracy of the assessment platform by validating its functionalities and identifying any potential issues or bugs.
Data Manipulation
Data manipulation involves techniques and operations used to modify, transform, and analyze data. This skill includes understanding and applying various programming concepts and functions to process and manipulate data, such as filtering, sorting, joining, and aggregating. Data manipulation is an essential skill to be measured in this test as it assesses the candidate's ability to work with JSON data, perform data transformations, and extract meaningful insights from the provided data.
Error Handling
Error handling refers to strategies and practices implemented to detect, handle, and resolve errors or exceptions that occur during the execution of a program. This skill involves understanding different types of errors, identifying potential sources of errors, and implementing proper error handling techniques to ensure graceful degradation and maintain the stability and reliability of the software. Measuring error handling in this test helps evaluate the candidate's ability to write robust and fault-tolerant code, improving the overall quality of the assessment platform.
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 JSON Test to be based on.
JSON syntax
JSON structure
JSON parsing
JSON manipulation
JSON schema validation
Serialization and deserialization of JSON
JSONP (JSON with padding)
CORS (Cross-Origin Resource Sharing)
Nested JSON structures
JSON web tokens (JWT)
JSON-RPC protocol
Working with RESTful JSON APIs
JSON validation
JSON formatting
JSON processing
JSON encoding
JSON decoding
JSON to XML conversion
XML to JSON conversion
JSON compression
JSON pretty-printing
JSON merging
JSON filtering
JSON file I/O
JSON data extraction
JSON data transformation
JSON data migration
JSON data querying
JSON data aggregation
JSON data sorting
JSON data pagination
JSON data validation
JSON data manipulation
JSON data serialization
JSON data deserialization
JSON data binding
JSON data mapping
JSON data modeling
JSON data visualization
JSON data storage
JSON data retrieval
JSON data caching
JSON data synchronization
JSON data encryption
JSON data migration
JSON data replication
JSON data transformation
JSON data extraction
JSON data compression
JSON data filtering
JSON data serialization
JSON data deserialization
JSON data streaming
JSON web services

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What roles can I use the JSON Test for?

Software Developer

How is the JSON 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

Handling JSON errors and exceptions
Working with nested JSON objects
Performing JSON data transformations
Using JSON schema for data validation
Accessing and modifying JSON APIs

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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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JSON Hiring Test FAQs

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.