CDMP Data Quality Practice Questions Practitioner/Master

Contents

What You’ll Learn Requirements Description Who this course is for:

What
You’ll Learn

Conduct Data Profiling: Learn how to assess the quality of datasets by identifying anomalies
inconsistencies
and errors
Master Data Cleansing Techniques: Gain expertise in various data cleansing methods
such as deduplication
standardization
to improve data quality
Implement Data Quality Programs: Understand how to develop and implement data quality programs that align with business strategies and objectives
Evaluate Data Quality Tools: Develop the ability to critically evaluate and select data quality tools and technologies that best suit organizational needs.

Requirements

Pass the CDMP Fundamentals Exam: You must first pass the CDMP Fundamentals exam with a score of 70% or higher
“Complete Relevant Training: Its recommended to complete relevant training or coursework in data quality to prepare for the specialist exam”
Gain Work Experience: While not always mandatory
having relevant work experience in data management or a related field can be beneficial.
Register for the Exam: You need to register for the Data Quality Specialist exam through DAMA International
the organization that offers the CDMP certification

Description

Are you looking to take your data management skills to the next level and stand out in a rapidly growing field? Look no further than the Certified Data Management Professional (CDMP) certification.

The CDMP Exam has following levels and requriements:

Associate: 60% pass Data Management Fundamentals exam
Practitioner: 70% pass in Data Management Fundamentals exam and 70% pass in 2 specialist exams
Master: 80% pass in Data Management Fundamentals exam and 80% pass in 2 specialist exams

This question set prepares you for one of the specialist exams: Data Quality Management

As one of the youngest professions, data management is in need of mature standards and expected performance to improve outcomes over time. The CDMP certification provides a globally recognized standard for data management professionals, similar to PMI and ITIL certifications in project and service management.

This CDMP certification will provide you with a comprehensive understanding of data management principles and practices, including data architecture, governance, integration, quality, and security. You will gain the technical and analytical skills necessary to excel in a career in data management. Additionally, the CDMP certification requires ongoing professional development, ensuring that you remain up-to-date with the latest technologies and best practices in the industry. The CDMP covers below topics:

Data Management Process
Big Data
Data Architecture
Document and Content Management
Data Ethics
Data Governance
Data Integration and Interoperability
Master and Reference Data Management
Data Modelling and Design
Data Quality
Data Security
Data Storage and Operations
Data Warehousing and Business Intelligence
Metadata Management

The Certified Data Management Professional (CDMP) Data Quality Specialist exam is designed to assess a candidate’s knowledge and skills in data quality management. Here are some key aspects of the exam:

Data Profiling and Assessment: Understanding how to evaluate the quality of data by identifying anomalies, inconsistencies, and errors.
Data Cleansing Techniques: Mastery of various data cleansing methods, such as deduplication, standardization, and validation.
Data Quality Programs: Knowledge of developing and implementing data quality programs that align with business strategies.
Data Quality Tools: Ability to evaluate and select appropriate data quality tools and technologies for organizational needs.

The exam typically consists of multiple-choice questions that cover these areas, ensuring that candidates have a comprehensive understanding of data quality principles and practices.

Disclaimer: The sample questions provided are intended for practice purposes only and are not a substitute for the study material provided by the DAMA DMBOK. The questions are not guaranteed to be an accurate reflection of the actual exam questions. The use of these sample questions is entirely at your own risk, and we do not accept responsibility for any consequences resulting from their use. These sample questions are copyrighted and are not to be distributed or shared without prior permission. All copyrights are reserved.