Qlik Talend Data Integration certification exams measure your skills to ensure that you have the knowledge to successfully implement quality projects. Preparation is critical to passing.
This certification exam covers the Talend Data Catalog features. Test coverage also includes the Talend Data Catalog application, the configuration of the application and associated database servers, as well as Talend Data Catalog REST API management.
Certification Exam details
Duration: 90 minutes
Number of questions: 55
Passing score: 65%
Exam content is updated periodically. The number and difficulty of questions may change. The passing score is adjusted to maintain a consistent standard.
Recommended experience
At least six months of experience using Talend products Knowledge and experience with Talend data cataloging, Business Intelligence (BI) systems metadata management, and model management Knowledge of data transformation processes using BI tools, ETL tools, data stores, data marts, data warehouses, and data models Familiarity with the Talend Data Catalog user interface Knowledge of Talend Data Catalog REST API management
Preparation
To prepare for this certification exam, Qlik recommends:
Taking the Talend Data Catalog Basics, Talend Data Catalog Advanced, and What’s new in Talend Data Catalog learning paths Watching the Best Practices Talend Data Catalog – DI Jobs videos Studying the material in the Talend Data Catalog Certified Implementer preparation training module Reading the product documentation:
You should be comfortable using the Qlik Talend Help Center to search for documents that correspond with the exam topics Reading Qlik Community knowledge base articles
For more information about the recommended learning plans, go to the Qlik Learning Catalog.
Badge
After passing this certification exam, you are awarded the Talend Data Catalog Certified Implementer badge. To learn more about the criteria to earn this badge, refer to the Qlik Badging program page.
Certification Exam topics
Overview of Talend Data Catalog
Define Data Catalog Define the Business Intelligence (BI) systems Describe the data transformation processes (BI tools, ETL tools, on-premises databases, data stores, data marts, data warehouses, and data models) Describe the architecture of Talend Data Catalog (Configuration and Diagram, including Remote Metadata Harvesting Agents) Differentiate between data cataloging and metadata management
Managing user roles and tasks
Define object and global roles, users, groups, role-based access, and security privileges Execute administration tasks (audit, operation logs, system logs, test performance, and user directories) Manage configurations (build, backup, and publish) Manage license updates and cumulative patches Design and manage default dashboards, including customizing widgets
Harvesting metadata (configuring data models, bridges, profiling, data masking, automating, and versioning)
Differentiate between full and incremental harvesting Use a bridge to collect metadata from a data source (data store, Data Integration (DI) tool, BI tool, or business application) Harvest metadata (flat files, database schemas, DI Jobs, Tableau reports, and Qlik) Perform data profiling, classification, labeling, and sampling, including incremental data profiling Manage a metadata repository Automate harvesting and versioning control
Stitching metadata and reports
Stitch objects together in a configuration to define the data flow Build a configuration to connect models Document metadata objects using labels, comments, attachments, and custom attributes Manage data connections and metadata stitching Define Stitching Reports
Model management (concepts, terms, definitions, custom attributes, and semantic types)
Build a business glossary model, including bootstrapping a glossary Import and export objects, terminologies, definitions, and relationships Map a business glossary to another model Build and populate a custom model, including importing and exporting metadata Manage relationships in the catalog
Defining semantic lineage
Manage semantic mapping for semantic lineage and definition Generate lineage reports Use term documentation, inferred documentation, and mapping
Mapping, tracing, and analyzing data flow
Differentiate between the types of data mappings, including import, export, and forward engineering Manage data mapping for data flow and impact analysis
Working collaboratively using social catalog and glossary workflow
Orchestrate data curation using social catalog (certifications, endorsements, warnings, watching, and notifications) Manage workflow, including workflow tasks and publications Perform advanced searches using specific parameters Utilize worksheets (create, share, and manage default worksheets)
Managing metamodel and data modeling
Describe metamodeling concepts Manage metamodels, including importing and exporting Describe data modeling, including naming standards and versioning Work with data models
Accessing Talend Data Catalog REST API
Use the REST API to run requests on the repository, glossaries, and users Import and export data using the REST API
Managing data classes
Manage data classes, including importing and exporting Describe data classification groups and classification process management
