MD-1220 Exam Guide
This MD-1220 exam focuses on practical knowledge and real-world application scenarios related to the subject area. It evaluates your ability to understand core concepts, apply best practices, and make informed decisions in realistic situations rather than relying solely on memorization.
This page provides a structured exam guide, including exam focus areas, skills measured, preparation recommendations, and practice questions with explanations to support effective learning.
Exam Overview
The MD-1220 exam typically emphasizes how concepts are used in professional environments, testing both theoretical understanding and practical problem-solving skills.
Skills Measured
- Understanding of core concepts and terminology
- Ability to apply knowledge to practical scenarios
- Analysis and evaluation of solution options
- Identification of best practices and common use cases
Preparation Tips
Successful candidates combine conceptual understanding with hands-on practice. Reviewing measured skills and working through scenario-based questions is strongly recommended.
Practice Questions for MD-1220 Exam
The following practice questions are designed to reinforce key MD-1220 exam concepts and reflect common scenario-based decision points tested in the certification.
Question#1
A glossary term is approved, but related report metrics use older names.
What should the metadata team improve?
A. Approval timing for glossary publication
B. Ownership assignment for reporting assets
C. Search ranking for glossary entries
D. Synchronization of related metadata
Explanation:
Related metadata objects should be synchronized when terminology changes. This keeps terms, reports, metrics, and field mappings aligned.
Question#2
A data quality score changes after a rule threshold is updated, but users cannot see why the score changed.
What metadata should be captured?
A. Storage trend and index changes
B. Dashboard layout change history
C. Catalog login and search history
D. Rule version and threshold history
Explanation:
Data quality rules should have metadata about versions, thresholds, owners, approvals, and effective dates. This supports transparency and auditability.
Question#3
A company wants to improve metadata quality for high-risk data elements.
Which approach is most appropriate?
A. Scan all platforms more often
B. Set required attributes and reviews
C. Expand repository storage first
D. Publish harvested metadata faster
Explanation:
Metadata quality improves when required attributes, validation rules, ownership, review cycles, and stewardship responsibilities are defined and enforced.
Question#4
A team wants to prioritize which metadata issues to fix first.
Which approach is most aligned with business value?
A. Fix issues in alphabetical order
B. Focus on critical data elements
C. Prioritize largest database tables
D. Resolve newest catalog entries first
Explanation:
Critical data elements are high-value or high-risk data items. Prioritizing their metadata improves trust, compliance, and decision-making where it matters most.
Question#5
Which situation best indicates poor metadata quality?
A. A catalog includes business and technical metadata
B. Key terms have outdated definitions
C. A dictionary lists columns and data types
D. A glossary uses approval workflow
Explanation:
Outdated definitions reduce metadata reliability. Metadata quality depends on completeness, accuracy, consistency, currency, and accountability.
Disclaimer
This page is for educational and exam preparation reference only. It is not affiliated with DAMA, CDMP Certification, or the official exam provider. Candidates should refer to official documentation and training for authoritative information.
