Talend Online Test

About the test:

The Talend Online Test uses scenario-based MCQs to evaluate candidates on their proficiency in Talend ETL, including the ability to design and develop ETL jobs, implement data integration processes, and configure Talend components. Additionally, the test assesses a candidate's knowledge of Talend Studio, metadata management, data quality, integration with other enterprise systems, and common ETL and data integration concepts. The test aims to evaluate a candidate's ability to work with Talend to design and develop data integration solutions effectively.

Covered skills:

Talend
ETL
Data Governance
Cloud Integration
Data Transformation
Real-Time Data Processing

Data Integration
Data Quality
Big Data
Master Data Management
Data Migration

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9 reasons why

Adaface Talend Test is the most accurate way to shortlist Talend Data Engineers

Reason #1

Tests for on-the-job skills

The Talend Online 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:

Able to create and manage data integration jobs using Talend
Proficient in ETL (Extract, Transform, Load) processes
Capable of ensuring data quality and implementing data governance
Skilled in working with Big Data and Cloud Integration
Experienced in Master Data Management
Familiar with data transformation techniques
Knowledgeable in data migration
Ability to handle real-time data processing

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.

View sample questions

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 Talend Online Test will be non-googleable.

🧐 Question
Medium Conditional Processing Row Filtering Component Linking Job Design	Try practice test
Consider a Talend job that reads rows from a tFileInputDelimited component and intends to process them through a series of transformations. Here's a pseudocode representation of a segment of your Talend job: You need to implement this logic within your Talend job such that rows with a "columnValue" greater than 100 follow one transformation path and others follow a different transformation path. Which of the following actions would help achieve this desired behavior? A: Use a tFlowToIterate component after the tFileInputDelimited to iterate over rows and use a Java condition to route the data. B: In the tMap component, set filters on the output links to achieve conditional routing based on "columnValue". C: Place two tMap components side by side after tFileInputDelimited and use "columnValue" in each to filter rows. D: Use a tSplitRow component after tFileInputDelimited to split rows based on the condition and connect to respective tMap components. E: Implement a custom code component like tJavaRow to determine the flow of rows.
Medium Dynamic Product API Schema Evolution Dynamic Data Types API Integration	Try practice test
You're building a Talend job that integrates with an e-commerce platform's Product API. Over time, the platform has added, removed, or changed fields within the API response, making it a challenge to keep up with the schema changes. A typical API response might look like: However, fields like specs might have additional attributes in the future, or some fields might be deprecated. The primary goal of your Talend job is: Given this scenario, how should you best handle the dynamic nature of the Product API schema in your Talend job? A: Use tExtractJSONFields and adjust the XPath query every time the API changes. B: Set a fixed schema in tMap based on the most common fields and ignore new additions. C: Define the input schema of tMap as "Dynamic", and map necessary fields to a stable output schema. D: Set the tOutputDB schema to "Dynamic" and let the database adjust to incoming changes. E: Process the raw JSON strings directly in tMap and use string manipulations for transformations.
Medium Multi-source Data Aggregation Data Transformation Joins Lookup Aggregation Data Filters	Try practice test
You're working with three different data sources in a Talend job: a MySQL table (users), an Oracle table (transactions), and a CSV file (rewards). The goal is to create a report containing the user's name, total transaction amount, and reward points, but only for users who have both made a transaction and earned rewards. Here are the key columns from each source: - users: user_id, user_name - transactions: trans_id, user_id, amount - rewards: reward_id, user_id, points Which of the following sequences best accomplishes this? A: Use tMySQLInput, tOracleInput, and tFileInputDelimited in parallel -> tDenormalize to combine all results. Filter and aggregate results using tMap and then pass to tOutput. B: Use tMySQLInput and tOracleInput in parallel -> tJoin to combine results on user_id. Use tFilterRow to filter transactions and then join the filtered result with tFileInputDelimited using tMap. C: Use tMySQLInput -> tMap to join with tOracleInput based on user_id. Use another tMap to join the result with tFileInputDelimited. Aggregate results using tAggregateRow based on user_name, and filter using tFilterRow. D: Use tMySQLInput -> tMap to join with tOracleInput based on user_id. Then, join the result with tFileInputDelimited on user_id. Apply filters in tMap to exclude rows where users neither made a transaction nor earned rewards. E: Use tMySQLInput -> tMap to lookup and join with tFileInputDelimited based on user_id. Then, join this result with tOracleInput using another tMap. Apply filters in the final tMap to only include the desired rows.
Medium Null Dates in tJavaRow Java Programming Null Safety Date Manipulation Exception Handling	Try practice test
You're designing a Talend job to process e-commerce transactions. Each record has an "interactionType" field and a lastPurchase date field. For records with "SALE" as the interaction type, you want to calculate the number of days since the lastPurchase. However, the lastPurchase field can be null due to certain circumstances. Here's the Java code within the tJavaRow component: Which of the following statements is TRUE regarding the code? A: If the lastPurchase field is null, the code will throw a runtime exception. B: The daysSinceLastPurchase field is set to -1 solely in case of a date parsing error. C: All records with "SALE" as the interaction type will invariably have a non-negative daysSinceLastPurchase value. D: The code inherently assumes that every transaction of type "SALE" contains a valid lastPurchase date.
Medium Multi Select JOIN GROUP BY	Try practice test
Consider the following SQL table: How many rows does the following SQL query return?
Medium nth highest sales Nested queries User Defined Functions	Try practice test
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
Medium Select & IN Nested queries	Try practice test
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
Medium Sorting Ubers Nested queries Join Comparison operators	Try practice test
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
Hard With, AVG & SUM MAX() MIN() Aggregate functions	Try practice test
Consider the following SQL table: How many tuples does the following query return?

	🧐 Question	🔧 Skill
	Medium Conditional Processing Row Filtering Component Linking Job Design	2 mins Talend	Try practice test
Consider a Talend job that reads rows from a tFileInputDelimited component and intends to process them through a series of transformations. Here's a pseudocode representation of a segment of your Talend job: You need to implement this logic within your Talend job such that rows with a "columnValue" greater than 100 follow one transformation path and others follow a different transformation path. Which of the following actions would help achieve this desired behavior? A: Use a tFlowToIterate component after the tFileInputDelimited to iterate over rows and use a Java condition to route the data. B: In the tMap component, set filters on the output links to achieve conditional routing based on "columnValue". C: Place two tMap components side by side after tFileInputDelimited and use "columnValue" in each to filter rows. D: Use a tSplitRow component after tFileInputDelimited to split rows based on the condition and connect to respective tMap components. E: Implement a custom code component like tJavaRow to determine the flow of rows.
	Medium Dynamic Product API Schema Evolution Dynamic Data Types API Integration	2 mins Talend	Try practice test
You're building a Talend job that integrates with an e-commerce platform's Product API. Over time, the platform has added, removed, or changed fields within the API response, making it a challenge to keep up with the schema changes. A typical API response might look like: However, fields like specs might have additional attributes in the future, or some fields might be deprecated. The primary goal of your Talend job is: Given this scenario, how should you best handle the dynamic nature of the Product API schema in your Talend job? A: Use tExtractJSONFields and adjust the XPath query every time the API changes. B: Set a fixed schema in tMap based on the most common fields and ignore new additions. C: Define the input schema of tMap as "Dynamic", and map necessary fields to a stable output schema. D: Set the tOutputDB schema to "Dynamic" and let the database adjust to incoming changes. E: Process the raw JSON strings directly in tMap and use string manipulations for transformations.
	Medium Multi-source Data Aggregation Data Transformation Joins Lookup Aggregation Data Filters	3 mins Talend	Try practice test
You're working with three different data sources in a Talend job: a MySQL table (users), an Oracle table (transactions), and a CSV file (rewards). The goal is to create a report containing the user's name, total transaction amount, and reward points, but only for users who have both made a transaction and earned rewards. Here are the key columns from each source: - users: user_id, user_name - transactions: trans_id, user_id, amount - rewards: reward_id, user_id, points Which of the following sequences best accomplishes this? A: Use tMySQLInput, tOracleInput, and tFileInputDelimited in parallel -> tDenormalize to combine all results. Filter and aggregate results using tMap and then pass to tOutput. B: Use tMySQLInput and tOracleInput in parallel -> tJoin to combine results on user_id. Use tFilterRow to filter transactions and then join the filtered result with tFileInputDelimited using tMap. C: Use tMySQLInput -> tMap to join with tOracleInput based on user_id. Use another tMap to join the result with tFileInputDelimited. Aggregate results using tAggregateRow based on user_name, and filter using tFilterRow. D: Use tMySQLInput -> tMap to join with tOracleInput based on user_id. Then, join the result with tFileInputDelimited on user_id. Apply filters in tMap to exclude rows where users neither made a transaction nor earned rewards. E: Use tMySQLInput -> tMap to lookup and join with tFileInputDelimited based on user_id. Then, join this result with tOracleInput using another tMap. Apply filters in the final tMap to only include the desired rows.
	Medium Null Dates in tJavaRow Java Programming Null Safety Date Manipulation Exception Handling	2 mins Talend	Try practice test
You're designing a Talend job to process e-commerce transactions. Each record has an "interactionType" field and a lastPurchase date field. For records with "SALE" as the interaction type, you want to calculate the number of days since the lastPurchase. However, the lastPurchase field can be null due to certain circumstances. Here's the Java code within the tJavaRow component: Which of the following statements is TRUE regarding the code? A: If the lastPurchase field is null, the code will throw a runtime exception. B: The daysSinceLastPurchase field is set to -1 solely in case of a date parsing error. C: All records with "SALE" as the interaction type will invariably have a non-negative daysSinceLastPurchase value. D: The code inherently assumes that every transaction of type "SALE" contains a valid lastPurchase date.
	Medium Multi Select JOIN GROUP BY	2 mins SQL	Try practice test
Consider the following SQL table: How many rows does the following SQL query return?
	Medium nth highest sales Nested queries User Defined Functions	3 mins SQL	Try practice test
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
	Medium Select & IN Nested queries	3 mins SQL	Try practice test
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
	Medium Sorting Ubers Nested queries Join Comparison operators	3 mins SQL	Try practice test
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
	Hard With, AVG & SUM MAX() MIN() Aggregate functions	2 mins SQL	Try practice test
Consider the following SQL table: How many tuples does the following query return?

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Conditional Processing Row Filtering Component Linking Job Design	Talend	Medium	2 mins	Try practice test
Consider a Talend job that reads rows from a tFileInputDelimited component and intends to process them through a series of transformations. Here's a pseudocode representation of a segment of your Talend job: You need to implement this logic within your Talend job such that rows with a "columnValue" greater than 100 follow one transformation path and others follow a different transformation path. Which of the following actions would help achieve this desired behavior? A: Use a tFlowToIterate component after the tFileInputDelimited to iterate over rows and use a Java condition to route the data. B: In the tMap component, set filters on the output links to achieve conditional routing based on "columnValue". C: Place two tMap components side by side after tFileInputDelimited and use "columnValue" in each to filter rows. D: Use a tSplitRow component after tFileInputDelimited to split rows based on the condition and connect to respective tMap components. E: Implement a custom code component like tJavaRow to determine the flow of rows.
	Dynamic Product API Schema Evolution Dynamic Data Types API Integration	Talend	Medium	2 mins	Try practice test
You're building a Talend job that integrates with an e-commerce platform's Product API. Over time, the platform has added, removed, or changed fields within the API response, making it a challenge to keep up with the schema changes. A typical API response might look like: However, fields like specs might have additional attributes in the future, or some fields might be deprecated. The primary goal of your Talend job is: Given this scenario, how should you best handle the dynamic nature of the Product API schema in your Talend job? A: Use tExtractJSONFields and adjust the XPath query every time the API changes. B: Set a fixed schema in tMap based on the most common fields and ignore new additions. C: Define the input schema of tMap as "Dynamic", and map necessary fields to a stable output schema. D: Set the tOutputDB schema to "Dynamic" and let the database adjust to incoming changes. E: Process the raw JSON strings directly in tMap and use string manipulations for transformations.
	Multi-source Data Aggregation Data Transformation Joins Lookup Aggregation Data Filters	Talend	Medium	3 mins	Try practice test
You're working with three different data sources in a Talend job: a MySQL table (users), an Oracle table (transactions), and a CSV file (rewards). The goal is to create a report containing the user's name, total transaction amount, and reward points, but only for users who have both made a transaction and earned rewards. Here are the key columns from each source: - users: user_id, user_name - transactions: trans_id, user_id, amount - rewards: reward_id, user_id, points Which of the following sequences best accomplishes this? A: Use tMySQLInput, tOracleInput, and tFileInputDelimited in parallel -> tDenormalize to combine all results. Filter and aggregate results using tMap and then pass to tOutput. B: Use tMySQLInput and tOracleInput in parallel -> tJoin to combine results on user_id. Use tFilterRow to filter transactions and then join the filtered result with tFileInputDelimited using tMap. C: Use tMySQLInput -> tMap to join with tOracleInput based on user_id. Use another tMap to join the result with tFileInputDelimited. Aggregate results using tAggregateRow based on user_name, and filter using tFilterRow. D: Use tMySQLInput -> tMap to join with tOracleInput based on user_id. Then, join the result with tFileInputDelimited on user_id. Apply filters in tMap to exclude rows where users neither made a transaction nor earned rewards. E: Use tMySQLInput -> tMap to lookup and join with tFileInputDelimited based on user_id. Then, join this result with tOracleInput using another tMap. Apply filters in the final tMap to only include the desired rows.
	Null Dates in tJavaRow Java Programming Null Safety Date Manipulation Exception Handling	Talend	Medium	2 mins	Try practice test
You're designing a Talend job to process e-commerce transactions. Each record has an "interactionType" field and a lastPurchase date field. For records with "SALE" as the interaction type, you want to calculate the number of days since the lastPurchase. However, the lastPurchase field can be null due to certain circumstances. Here's the Java code within the tJavaRow component: Which of the following statements is TRUE regarding the code? A: If the lastPurchase field is null, the code will throw a runtime exception. B: The daysSinceLastPurchase field is set to -1 solely in case of a date parsing error. C: All records with "SALE" as the interaction type will invariably have a non-negative daysSinceLastPurchase value. D: The code inherently assumes that every transaction of type "SALE" contains a valid lastPurchase date.
	Multi Select JOIN GROUP BY	SQL	Medium	2 mins	Try practice test
Consider the following SQL table: How many rows does the following SQL query return?
	nth highest sales Nested queries User Defined Functions	SQL	Medium	3 mins	Try practice test
Consider the following SQL table: Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
	Select & IN Nested queries	SQL	Medium	3 mins	Try practice test
Consider the following SQL table: Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
	Sorting Ubers Nested queries Join Comparison operators	SQL	Medium	3 mins	Try practice test
Consider the following SQL table: What will be the first two tuples resulting from the following SQL command?
	With, AVG & SUM MAX() MIN() Aggregate functions	SQL	Hard	2 mins	Try practice test
Consider the following SQL table: How many tuples does the following query return?

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 Talend Online 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 Talend Online 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

View sample scorecard

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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 Talend Assessment Test

Why you should use Pre-employment Talend Online Test?

The Talend Online 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:

Integrating data from various sources using Talend
Writing complex SQL queries for data retrieval and manipulation
Performing ETL (Extract, Transform, Load) operations using Talend
Implementing data quality checks and ensuring data accuracy
Understanding and applying data governance principles
Working with big data technologies and processing large datasets
Integrating cloud-based systems and services using Talend
Implementing master data management solutions
Performing data transformation and enrichment using Talend
Migrating data from legacy systems to new platforms

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 Talend Online Test?

Talend
Talend is a popular open-source data integration platform that enables organizations to connect, transform, and manage their data across various systems. It provides a comprehensive set of tools and functionalities for designing, developing, and deploying data integration workflows.
Data Integration
Data integration is the process of combining and harmonizing data from different sources and systems into a unified and consistent format. It involves extracting data, transforming and cleansing it, and loading it into a target system, enabling organizations to have a holistic view of their data.
ETL
ETL (Extract, Transform, Load) is a process used in data integration to extract data from various sources, transform it into a suitable format, and load it into a target system. It plays a crucial role in ensuring data quality and integrity, as well as enabling organizations to leverage their data effectively.
Data Quality
Data quality refers to the accuracy, completeness, consistency, and validity of data. Ensuring data quality is essential for making informed decisions and maintaining the reliability of business processes. This skill measures the ability to identify and resolve issues related to data quality.
Data Governance
Data governance involves the overall management and control of data assets within an organization. It encompasses defining policies, standards, and guidelines for data handling, ensuring compliance with regulations, and establishing processes for data quality, privacy, and security. This skill is measured to assess a candidate's understanding of data governance principles and practices.
Big Data
Big Data refers to large and complex datasets that cannot be easily managed using traditional database tools and techniques. It encompasses the storage, processing, and analysis of vast amounts of structured and unstructured data. This skill is measured to evaluate a candidate's knowledge of Big Data technologies and their ability to work with large-scale data.
Cloud Integration
Cloud integration involves connecting on-premises systems with cloud-based applications and services. It enables organizations to leverage the scalability, flexibility, and cost-effectiveness of cloud computing. This skill is measured to assess a candidate's proficiency in integrating and managing data in a cloud environment.
Master Data Management
Master data management (MDM) is a discipline that focuses on managing and maintaining the authoritative and consistent reference data within an organization. It involves creating a single, reliable source of truth for core data elements, such as customer, product, and supplier information. This skill is measured to evaluate a candidate's understanding of MDM concepts and their ability to implement MDM solutions.
Data Transformation
Data transformation refers to the process of converting data from one format or structure to another, making it suitable for different applications or systems. It involves manipulating, mapping, and enriching data to meet specific business requirements. This skill is measured to assess a candidate's proficiency in designing and executing data transformation tasks.
Data Migration
Data migration is the process of transferring data from one system or storage format to another. It can involve consolidating data from multiple sources, upgrading systems, or migrating to a new platform. This skill is measured to evaluate a candidate's knowledge of data migration methodologies and their ability to ensure the successful transfer of data.
Real-Time Data Processing
Real-time data processing refers to the ability to handle and analyze data as it arrives, without any delay. It enables organizations to make decisions and take actions based on up-to-date information. This skill is measured to assess a candidate's understanding of real-time data processing technologies and their ability to build high-performance data processing pipelines.
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 Talend Online Test to be based on.
Talend Studio
Data Integration
ETL Processes
Data Quality
Data Governance
Big Data Integration
Cloud Integration
Master Data Management
Data Transformation
Data Migration
Real-Time Data Processing
Data Warehousing
Data Profiling
Data Cleansing
Data Modeling
Metadata Management
Data Extraction
Data Loading
Change Data Capture
Error Handling
Schema Design
SQL Integration
Query Optimization
Database Connectivity
Dimensional Modeling
Data Replication
Data Synchronization
Data Mapping
Data Validation
Data Masking
Data Lineage
Performance Tuning
Parallel Processing
Workflow Management
Scheduling
Job Monitoring
Data Governance Frameworks
Data Privacy
Data Security
Data Archiving
Data Virtualization
Enterprise Information Integration
Real-Time Data Integration
Data Streaming
Data Science Integration
Cloud Storage Integration
Data Quality Monitoring
Data Cataloging
Data Profiling Tools
Master Data Management Practices
Data Migration Strategies
ETL Best Practices
ETL Tools Comparison
ETL Performance Optimization
Data Wrangling
Real-Time Analytics

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What roles can I use the Talend Online Test for?

Talend Data Engineer
Talend ETL Developer
Data Integration Specialist
Business Intelligence Developer
Data Warehouse Developer
Big Data Engineer
Cloud Integration Developer
Data Transformation Specialistm Talend Solution Architect

How is the Talend Online 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

Processing real-time data streams and events
Designing and implementing data pipelines in Talend
Optimizing Talend jobs for performance and scalability
Implementing data quality profiling and monitoring
Managing and maintaining data repositories
Building data integration workflows using Talend
Ensuring data security and privacy in integration processes
Designing and implementing data mapping and transformations
Performing data validation and verification
Collaborating with stakeholders to gather requirements and define integration solutions

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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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Talend 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.