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Updated: Aug 08, 2026
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| Certification Vendor: | Talend |
| Exam Name: | Talend Core Certified Developer Exam |
| Exam Number: | Talend-Core-Developer |
| Exam Format: | Multiple Choice, Drag and Drop, Scenario-based Questions |
| Available Languages: | English |
| Related Certifications: | Talend Data Integration Certified Developer Talend Cloud Certified Developer |
| Passing Score: | 70% |
| Exam Duration: | 90 minutes |
| Exam Price: | $150 USD |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 55 |
| Recommended Training: | Talend Data Integration Fundamentals Talend Core Developer Learning Path |
| Exam Registration: | Talend Certification Portal Pearson VUE Registration |
| Sample Questions: | Talend Talend-Core-Developer Sample Questions |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | Recommended: 6+ months hands-on experience with Talend Studio; basic knowledge of data integration concepts, SQL and file formats |
| Official Syllabus URL: | https://www.talend.com/academy/certification/data-integration-certified-developer-exam/ |
| Section | Weight | Objectives |
|---|---|---|
| Collaboration & Deployment | 10% | - Team-based development and reference projects - Exporting and deploying jobs - Version control integration |
| Error Handling, Logging & Testing | 10% | - Logging and monitoring configuration - Error handling mechanisms - Validation and data quality checks - Debugging and testing jobs |
| Data Integration & Transformation | 30% | - Using built-in functions and routines - Handling rejected records and errors - Using tMap for joins, mappings and transformations - Reading and writing data from files and databases - Filtering, sorting and aggregating data |
| Metadata Management | 15% | - Schema creation and configuration - Reusing metadata across projects - Metadata impact analysis - Defining and managing connections |
| Job Orchestration & Parameters | 20% | - Context variables and parameterization - Master jobs and job dependencies - Joblets for reusable workflows - Parallel execution and performance tuning |
| Talend Studio Fundamentals | 15% | - Project creation and management - Job design principles and best practices - Studio interface and workspace navigation - Component palette and usage |
1. You are building a complex Job and want to explore different options for optimizing execution times using parallelism.
How can you identify execution times to verify the effectiveness of your changes?
Choose 2 answers
A) Observing the execution times that annotate the flows in the Designer.
B) Comparing time stamp in Trace Debug mode.
C) Heading the time stamps from the execution console in the Run view.
D) Observing the execution time in the Code view.
2. You want to improve the Trust Score of your dataset as a dataset owner. Which actions should you perform? Choose 2 answers.
A) Use the dataset in an ETL Job
B) Add ratings to the dataset
C) Improve the quality of the dataset using Pipeline Designer
D) Change the dataset score manually
3. What are the key capabilities of Talend Cloud Data Preparation that improve data quality and accessibility? Choose 3 answers.
A) Format data
B) Standardize data
C) Discover
D) Cleanse data
E) Transform
4. You need to call a different Job within a Job you are developing.
Which mechanism allows you to pass the parameters to the lob you want to call?
A) Java Function paramters
B) File
C) CommandLine options
D) Context parameters
5. Which methods can you use to name an output row in a tMap component? Choose 3 answers.
A) Assign the name when connecting a new output component.
B) Select the output row, then open the Component view and click the View tab.
C) Click the name of the table in the Map Editor window and edit it.
D) Double-click the output row in the Designer and enter a new name.
E) Assign the name when defining a new output table in the Map Editor window.
Solutions:
| Question # 1 Answer: A,C | Question # 2 Answer: B,C | Question # 3 Answer: B,D,E | Question # 4 Answer: D | Question # 5 Answer: A,C,E |
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