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Talend Online 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
  • Data Integration
  • ETL
  • Data Quality
  • Data Governance
  • Big Data
  • Cloud Integration
  • Master Data Management
  • Data Transformation
  • Data Migration
  • Real-Time Data Processing
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About the Talend Test


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

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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 15,000+ questions. The actual questions on this Talend Online Test will be non-googleable.

🧐 Question

Medium

Conditional Processing
Row Filtering
Component Linking
Job Design
Solve
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:
 image
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
Solve
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:
 image
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:
 image
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
Solve
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
Solve
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:
 image
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
Sql Join
Data Analysis
Solve
Consider the following SQL table:
 image
How many rows does the following SQL query return?
 image

Medium

nth highest sales
Nested queries
User Defined Functions
Solve
Consider the following SQL table:
 image
Which of the following SQL commands will find the ‘nth highest Sales’ if it exists (returns null otherwise)?
 image

Medium

Select & IN
Nested queries
Solve
Consider the following SQL table:
 image
Which of the following SQL queries would return the year when neither a football or cricket winner was chosen?
 image

Medium

Sorting Ubers
Nested queries
Join
Comparison operators
Solve
Consider the following SQL table:
 image
What will be the first two tuples resulting from the following SQL command?
 image

Hard

With, AVG & SUM
MAX() MIN()
Aggregate functions
Solve
Consider the following SQL table:
 image
How many tuples does the following query return?
 image
🧐 Question🔧 Skill

Medium

Conditional Processing
Row Filtering
Component Linking
Job Design

2 mins

Talend
Solve

Medium

Dynamic Product API
Schema Evolution
Dynamic Data Types
API Integration

2 mins

Talend
Solve

Medium

Multi-source Data Aggregation
Data Transformation
Joins
Lookup
Aggregation
Data Filters

3 mins

Talend
Solve

Medium

Null Dates in tJavaRow
Java Programming
Null Safety
Date Manipulation
Exception Handling

2 mins

Talend
Solve

Medium

Multi Select
JOIN
GROUP BY
Sql Join
Data Analysis

2 mins

SQL
Solve

Medium

nth highest sales
Nested queries
User Defined Functions

3 mins

SQL
Solve

Medium

Select & IN
Nested queries

3 mins

SQL
Solve

Medium

Sorting Ubers
Nested queries
Join
Comparison operators

3 mins

SQL
Solve

Hard

With, AVG & SUM
MAX() MIN()
Aggregate functions

2 mins

SQL
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Conditional Processing
Row Filtering
Component Linking
Job Design
Talend
Medium2 mins
Solve
Dynamic Product API
Schema Evolution
Dynamic Data Types
API Integration
Talend
Medium2 mins
Solve
Multi-source Data Aggregation
Data Transformation
Joins
Lookup
Aggregation
Data Filters
Talend
Medium3 mins
Solve
Null Dates in tJavaRow
Java Programming
Null Safety
Date Manipulation
Exception Handling
Talend
Medium2 mins
Solve
Multi Select
JOIN
GROUP BY
Sql Join
Data Analysis
SQL
Medium2 mins
Solve
nth highest sales
Nested queries
User Defined Functions
SQL
Medium3 mins
Solve
Select & IN
Nested queries
SQL
Medium3 mins
Solve
Sorting Ubers
Nested queries
Join
Comparison operators
SQL
Medium3 mins
Solve
With, AVG & SUM
MAX() MIN()
Aggregate functions
SQL
Hard2 mins
Solve
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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

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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ChatGPT Protection

Non-googleable Questions

Web Proctoring

IP Proctoring

Webcam Proctoring

MCQ Questions

Coding Questions

Typing Questions

Personality Questions

Custom Questions

Ready-to-use Tests

Custom Tests

Custom Branding

Bulk Invites

Public Links

ATS Integrations

Multiple Question Sets

Custom API integrations

Role-based Access

Priority Support

GDPR Compliance

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Have questions about the Talend Hiring Test?

What is Talend Online Test?

The Talend Online Test is designed to evaluate skills and knowledge in Talend, SQL, and other data integration technologies. It is used by recruiters to screen candidates for roles requiring expertise in data integration, ETL, and real-time data processing.

Can I combine Talend Test with ETL questions?

Yes, you can create a custom test that includes both Talend and ETL questions. For more information on how we assess ETL skills, check out our ETL Assessment Test.

What kind of questions are used to evaluate senior candidates?

The test includes questions on processing real-time data streams and events, designing data pipelines, optimizing Talend jobs, implementing data quality profiling, and managing data repositories to ensure comprehensive evaluation.

How to use Talend Online Test in my hiring process?

Use this test as a pre-screening tool at the start of your recruitment. Add a link to the assessment in your job posting or invite candidates directly via email to help identify skilled candidates quickly.

What are the main data integration tests?

Some important data integration tests include:

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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Along with scorecards that report the performance of the candidate in detail, you also receive a comparative analysis against the company average and industry standards.

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