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2026 CCDM Exam Questions | 100% Free Latest Certified Clinical Data Manager Dumps

The SCDM CCDM certification exam is an industrial-recognized Certified Clinical Data Manager (CCDM) certificate that is designed to validate candidates' skills, experience, and knowledge quickly. The Certified Clinical Data Manager (CCDM) certification exam has been inspiring SCDM professionals since its beginning. Now this CCDM certification exam has become solid proof of certain skills set and knowledge.

SCDM Certified Clinical Data Manager Sample Questions (Q13-Q18):

NEW QUESTION # 13
When a data manager runs a report on resolution types of discrepancy status, which of the following would NOT be a part of resolution types?

Answer: C

Explanation:
In a discrepancy management workflow, "Received from site and not yet reviewed" is not a resolution type - it represents a status, not a final resolution outcome.
According to the GCDMP (Chapter: Data Validation and Cleaning), resolution types describe how a data discrepancy was finalized or addressed, such as:
Resolved with data correction,
Confirmed as correct (no change required),
Self-evident correction applied by data management, or
Unresolvable discrepancies documented.
In contrast, statuses describe the stage of the query (e.g., open, sent, answered, pending review, closed). "Received from site and not yet reviewed" indicates an intermediate workflow state where the response awaits validation by data management.
Proper classification of resolution types is essential for performance reporting, audit readiness, and ensuring the traceability of query management actions under ICH E6 (R2) and FDA 21 CFR Part 11.
Reference (CCDM-Verified Sources):
SCDM Good Clinical Data Management Practices (GCDMP), Chapter: Data Validation and Cleaning, Section 5.3 - Discrepancy Resolution Lifecycle ICH E6 (R2) Good Clinical Practice, Section 5.5.3 - Data Handling and Record Management FDA 21 CFR Part 11 - Electronic Records; Audit Trails and Discrepancy Tracking Requirements


NEW QUESTION # 14
During a database audit, it was determined that there were more errors than expected. Who is responsible for assessing the overall impact on the analysis of the data?

Answer: A

Explanation:
The Statistician is responsible for assessing the overall impact of data errors on the analysis and study results.
According to the Good Clinical Data Management Practices (GCDMP, Chapter: Data Quality Assurance and Control) and ICH E9 (Statistical Principles for Clinical Trials), while the Data Manager ensures data accuracy and completeness through cleaning and validation, the Statistician determines whether the observed data discrepancies are statistically significant or if they may affect the validity, power, or interpretability of the study's outcomes.
The Quality Auditor (C) identifies and reports issues but does not quantify analytical impact. The Investigator (D) is responsible for clinical oversight, not statistical assessment. Thus, after a database audit, the Statistician (B) performs a formal evaluation to determine whether the magnitude and nature of the errors could bias results or require reanalysis.
Reference (CCDM-Verified Sources):
SCDM Good Clinical Data Management Practices (GCDMP), Chapter: Data Quality Assurance and Control, Section 7.3 - Data Audit and Impact Assessment ICH E9 - Statistical Principles for Clinical Trials, Section 3.2 - Data Quality and Analysis Impact Assessment FDA Guidance for Industry: Computerized Systems Used in Clinical Investigations - Data Validation and Analysis Review


NEW QUESTION # 15
The Scope of Work would answer which of the following information needs?

Answer: A

Explanation:
The Scope of Work (SOW) is a project management document that defines what services are included in the work agreement between the sponsor and the CRO or vendor. It outlines deliverables, responsibilities, timelines, and budget allocations.
According to the GCDMP (Chapter: Project Management in Data Management), the SOW includes specifications such as:
The number and frequency of data transfers,
Database build and lock milestones,
Quality control deliverables, and
Resource allocation for data management tasks.
The SOW does not cover operational site-level details such as monitoring schedules (B), protocol sampling details (C), or personnel contact lists (D).
Therefore, option A (number of data transfers budgeted for a project) correctly identifies a use case directly addressed in the SOW.
Reference (CCDM-Verified Sources):
SCDM GCDMP, Chapter: Project Management, Section 4.1 - Scope of Work and Resource Planning ICH E6(R2) GCP, Section 5.5 - Sponsor Oversight and Data Management Responsibilities PMI Project Management Framework - Scope Definition and Deliverable Specifications


NEW QUESTION # 16
Which is a minimum prerequisite that should be in place before choosing an EDC system?

Answer: C

Explanation:
Before selecting an Electronic Data Capture (EDC) system for a clinical trial, it is essential to have a clear understanding of the functional requirements. This serves as the minimum prerequisite to guide system selection, ensuring that the EDC solution aligns with the protocol needs, data workflow, security requirements, and regulatory compliance.
According to the Good Clinical Data Management Practices (GCDMP, Chapter: Computerized Systems and Compliance), functional requirements describe what the system must do-such as data entry capabilities, edit checks, query management, user roles, audit trails, and integration with external systems (e.g., labs, ePRO). This understanding allows sponsors and CROs to evaluate vendor systems effectively during the selection and qualification phase.
Other options:
B . Installation qualification and D. Validation plan occur after system selection.
C . Governance documentation supports operations but is not required before choosing the system.
Hence, option A is correct - the first and most essential prerequisite before EDC selection is a solid understanding of the functional requirements.
Reference (CCDM-Verified Sources):
SCDM GCDMP, Chapter: Computerized Systems and Compliance, Section 4.2 - Requirements Gathering and System Selection FDA 21 CFR Part 11 - System Validation and Intended Use Requirements ICH E6(R2) GCP, Section 5.5.3 - Computerized System Selection and Qualification


NEW QUESTION # 17
In a physical therapy study, range of motion is assessed by a physical therapist at each site using a study-provided goniometer. Which is the most appropriate quality control method for the range of motion measurement?

Answer: B

Explanation:
In this scenario, the variable of interest-range of motion (ROM)-is a clinically measured, observer-dependent variable. The accuracy and reliability of such data depend primarily on the precision and consistency of the measurement technique, not merely on data entry validation. Therefore, the most appropriate quality control (QC) method is independent verification of the measurement by a second qualified assessor during the visit (Option D).
According to the Good Clinical Data Management Practices (GCDMP, Chapter on Data Quality Assurance and Control), quality control procedures must be tailored to the nature of the data. For clinically assessed variables, especially those involving human judgment (e.g., physical measurements, imaging assessments, or subjective scoring), real-time verification by an independent qualified assessor ensures that data are valid and reproducible at the point of collection. This approach directly addresses measurement bias, observer variability, and instrument misuse, which are primary sources of data error in clinical outcome assessments.
Other options, while valuable, address only data consistency or plausibility after collection:
Option A (comparison to previous visit) and Option C (reviewing data listings) are retrospective data reviews, suitable for identifying trends but not preventing measurement error.
Option B (programmed edit checks) detects only extreme or impossible values, not measurement inaccuracies due to technique or observer inconsistency.
The GCDMP and ICH E6 (R2) Good Clinical Practice guidelines emphasize that data quality assurance should begin at the source, through standardized procedures, instrument calibration, and dual assessments for observer-dependent measures. Having an independent second assessor ensures inter-rater reliability and provides direct confirmation that the recorded value reflects an accurate and valid measurement.
Reference (CCDM-Verified Sources):
Society for Clinical Data Management (SCDM), Good Clinical Data Management Practices (GCDMP), Chapter: Data Quality Assurance and Control, Section 7.4 - Measurement Quality and Verification ICH E6 (R2) Good Clinical Practice, Section 2.13 - Quality Systems and Data Integrity FDA Guidance for Industry: Patient-Reported Outcome Measures and Clinical Outcome Assessment Data, Section 5.3 - Quality Control of Clinician-Assessed Data SCDM GCDMP Chapter: Source Data Verification and Quality Oversight Procedures


NEW QUESTION # 18
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