BDCD Practice Exams and Study Guide
Qlik BDCD Exam Specifications
- Exam Code:
- BDCD
- Exam Name:
- Talend Big Data Developer Using Talend Studio
- Provider:
- Qlik
- Time:
- 90 min
- Passing Percentage:
- 70%
- Version:
- 6.0
Question Types
- 110 Single Select
110 Questions with Answers
- PDF Printable (Q & A)
- 3 Months
Key Features to Key Benefits
Real Exam-like Questions and Answers (110 total)
Expert-Curated Questions
Comprehensive Coverage of Objectives
Instant Access After Purchase
Secure Checkout
Regularly Updated Content
Free Demo Questions Available
Performance Tracking
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Talend Big Data Developer Using Talend Studio Topics for Real-World Roles
In the Talend Big Data Developer Using Talend Studio exam, you design scalable ETL workflows and build batch and streaming pipelines using visual mapping and transformation components to move data between systems. You connect to diverse data sources, create reusable subworkflows and metadata-driven jobs, implement data quality checks and governance, tune performance with partitioning and caching, orchestrate job execution with scheduling and error handling, and apply security controls along with robust debugging and testing practices.
Role‑Aligned Topics
- Design and optimize ETL data flows for large-scale datasets using graphical data mapping and transformation components.
- Develop batch and streaming pipelines to ingest, transform, and load data into target systems.
- Connect to diverse data sources including relational databases, big data stores, and cloud storage.
- Build reusable subworkflows and metadata-driven jobs to promote consistency and maintainability.
- Implement data quality, profiling, and validation checks to ensure accuracy and integrity.
- Tune performance through partitioning, parallel execution, caching, and incremental loading.
- Orchestrate job execution, scheduling, error handling, and alerting in production environments.
- Implement data governance, lineage tracking, and security controls for compliant processing.
- Debug, test, and troubleshoot data pipelines with logging, exception handling, and rollback strategies.
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