Qlik QCOM2021 Q&A - in .pdf

  • Exam Code: QCOM2021
  • Exam Name: Qlik Compose Certification Exam - February 2021 Release
  • Updated: Sep 20, 2026
  • Q & A: 0 Questions and Answers
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Qlik QCOM2021 Q&A - Testing Engine

  • Exam Code: QCOM2021
  • Exam Name: Qlik Compose Certification Exam - February 2021 Release
  • Updated: Sep 20, 2026
  • Q & A: 0 Questions and Answers
  • Install on multiple computers for self-paced, at-your-convenience training.
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Qlik QCOM2021 certification exam is intended for data architects, data engineers, and other professionals who are responsible for designing and implementing data integration and data management solutions using Qlik Compose. QCOM2021 exam covers various topics related to Qlik Compose, including data modeling, data profiling, data quality, and data transformation. QCOM2021 exam also tests the ability of candidates to design and implement workflows, manage metadata, and troubleshoot issues related to Qlik Compose.

Qlik QCOM2021 is a certification exam that validates the skills and knowledge of professionals in using Qlik Compose. Qlik Compose is a data management solution that enables organizations to automate the process of data integration, transformation, and delivery. With this certification, professionals can demonstrate their expertise in using Qlik Compose and help organizations to make data-driven decisions.

Qlik QCOM2021 exam is targeted towards data professionals, data analysts, data engineers, and IT professionals who work with Qlik Compose or are planning to use Qlik Compose for their data management needs. QCOM2021 exam is designed to validate the candidate's skills and knowledge of Qlik Compose, and it provides a way for individuals to showcase their expertise in the use of Qlik Compose for data management.

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Qlik QCOM2021 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Modeling and Warehouse Design- Data vault concepts
  • 1. Historical data handling
    • 2. Hubs, links, and satellites
      - Dimensional modeling
      • 1. Facts and dimensions design
        • 2. Star and snowflake schema concepts
          Topic 2: Deployment and Operations- Performance and monitoring
          • 1. Job scheduling and monitoring
            • 2. Performance optimization techniques
              - Environment management
              • 1. Development, test, production lifecycle
                • 2. Deployment automation
                  Topic 3: Security and Governance- Governance
                  • 1. Audit and compliance considerations
                    • 2. Metadata management
                      - Data security
                      • 1. Sensitive data handling
                        • 2. Access control and permissions
                          Topic 4: ETL and Data Integration- Transformation processes
                          • 1. Business rule implementation
                            • 2. Data cleansing and standardization
                              - Data ingestion
                              • 1. Full load vs incremental load
                                • 2. Change Data Capture (CDC)
                                  Topic 5: Qlik Compose Overview and Architecture- Core concepts of Qlik Compose
                                  • 1. Components and architecture overview
                                    • 2. Data warehouse automation principles
                                      - System architecture
                                      • 1. Source systems and target warehouse integration
                                        • 2. Metadata-driven design

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