Welcome to your one-stop solution for all the information you need to excel in the Qlik Talend Data Quality Implementer (TDQCI) Certification exam. This page provides an in-depth overview of the Qlik TDQCI Exam Summary, Syllabus Topics, and Sample Questions, designed to lay the foundation for your exam preparation. We aim to help you achieve your Qlik Talend Data Quality Certified Implementer certification goals seamlessly. Our detailed syllabus outlines each topic covered in the exam, ensuring you focus on the areas that matter most. With our sample questions and practice exams, you can gauge your readiness and boost your confidence to take on the Qlik Talend Data Quality Implementer exam.
Why Qlik Talend Data Quality Implementer Certification Matters
The Qlik TDQCI exam is globally recognized for validating your knowledge and skills. With the Qlik Talend Data Quality Certified Implementer credential, you stand out in a competitive job market and demonstrate your expertise to make significant contributions within your organization. The Qlik Talend Data Quality Implementer Certification exam will test your proficiency in the various syllabus topics.
Qlik TDQCI Exam Summary:
| Exam Name | Qlik Talend Data Quality Implementer |
| Exam Code | TDQCI |
| Exam Duration | 90 minutes |
| Exam Questions | 45 |
| Passing Score | 65% |
| Exam Price | $250 (USD) |
| Books / Training |
Talend Cloud Data Inventory User Guide Talend Cloud Data Inventory Getting Started User Guide Talend Cloud Data Preparation User Guide Talend Cloud Data Stewardship User Guide Talend Studio User Guide 10 Best Practices for Successful Data Quality |
| Exam Registration | Qlik |
| Sample Questions | Qlik Talend Data Quality Implementer Certification Sample Question |
| Practice Exam | Qlik Talend Data Quality Implementer Certification Practice Exam |
Qlik TDQCI Exam Syllabus Topics:
| Objective | Details |
|---|---|
| Work with data using Talend Cloud Data Inventory |
- Define Talend Cloud Data Inventory in context - Differentiate between the supported connection types - Access datasets using data crawler - Access datasets using an API - Describe the advantages and disadvantages of applying semantic types (DP, DI, and DS) - Describe the dimensions used to calculate data trust - Use Talend Trust Score |
| Work with data using Talend Cloud Data Preparation |
- Define Talend Cloud Data Preparation in context - Prepare data using Data Inventory and Data Preparation - Manage Data Preparation components in Talend Studio - Transform raw data into suitable analysis in Data Preparation |
| Work with data using Talend Cloud Data Stewardship |
- Define Talend Cloud Data Stewardship in context - Differentiate between predefined roles and role-based access - Manage campaigns and tasks in Talend Cloud Data Stewardship - Build resolution campaigns - Manage data quality rules in Data Stewardship |
| Overview of data quality |
- Define data quality in context - Differentiate between the types of data quality analyses - Monitor data movement and automate data quality checks (Business rules) - Perform data reconciliations between source and target |
| Data quality cleansing and transformations |
- Use data quality components (Profiling, Standardization, Matching, and Consolidations) - Implement data quality transformations - Establish data auditing processes - Describe the use of data privacy components |
The Qlik has created this credential to assess your knowledge and understanding in the specified areas through the TDQCI certification exam. The Qlik Talend Data Quality Certified Implementer exam holds significant value in the market due to the brand reputation of Qlik. We highly recommend thorough study and extensive practice to ensure you pass the Qlik Talend Data Quality Implementer exam with confidence.