JSON 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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Screen candidates with a 25 mins test

Test duration: ~ 25 mins

Difficulty level: Moderate

Availability: Available as custom test

Questions:

10 JSON MCQs

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Adaface skill assessments measure on-the-job skills of candidates, providing employers with an accurate tool for screening potential hires.

Use the JSON Assessment Test to shortlist qualified candidates

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

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Screen candidates with the highest quality 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 15,000+ 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

Test candidates on core JSON Hiring Test topics

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.

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