[Q74-Q90] Dec-2025 Realistic CCDM Accurate & Verified Answers As Experienced in the Actual Test!

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Dec-2025 Realistic CCDM Accurate & Verified Answers As Experienced in the Actual Test!

Latest SCDM CCDM Practice Test Questions, Certified Clinical Data Manager Exam Dumps

Q74. In an EDC study, user training and access must be monitored and addressed when all the following situations occur EXCEPT:

Site staff moves off of the study.

Site staff is new to the study.

A software upgrade is made that does not impact site staff or study team members.

Study team members are reassigned to a different role within the study.

Q75. What additional task does the site study coordinator role perform when utilizing an EDC application compared to paper CRF?

Resolving queries

Data entry

Data curation

Medical record abstraction

Q76. Which of the following is the best reason for a statistician to review the case report form prior to using it in a study?

To ensure the data from the CRF can be analyzed for safety and efficacy

To ensure the header fields will provide a unique key for each subject

To ensure the layout will make a logical, useful programming guide

To ensure the variable names conform to statistical programming standards

Q77. Query rules were tested with test data for each logic condition within each rule. Which of the following types of testing was conducted?

User box testing

White box testing

Black box testing

T box testing

Q78. What is the main reason 21 CFR Part 11 requires that EDC systems maintain an audit trail?

To preserve data integrity

To preserve the ability for modifications

To preserve source document verifications

To preserve data availability

Q79. According to the FDA Guidance for Industry, Providing Regulatory Submissions in Electronic Format (April 2006) and Good Clinical Data Management Practices (GCDMP, May 2007), which of the following is the most acceptable for a derived field?

Providing CRF annotation “not entered in the database” next to the average score

Providing the algorithm for calculating the average score on the CRF

Providing the algorithm for calculating the average score in the dataset definition file

Providing CRF annotation AVE next to the average score

In clinical data management, a derived field refers to any variable that is not directly collected from the Case Report Form (CRF) but is instead calculated or inferred from one or more collected variables (for example, calculating an average blood pressure from multiple readings). Proper documentation of derived fields is essential for ensuring data traceability, transparency, and compliance with both FDA and SCDM guidelines.
According to the Good Clinical Data Management Practices (GCDMP, May 2007), all derivations and transformations applied to clinical data must be clearly defined and documented in metadata such as the dataset definition file (also referred to as data specifications, variable definition tables, or Define.xml files). The derivation algorithm should be explicitly stated in this documentation to allow independent verification, regulatory review, and reproducibility of results.
The FDA Guidance for Industry (April 2006) on electronic submissions further emphasizes that derived fields must be supported by comprehensive metadata that defines the computational method used. This documentation enables the FDA or any regulatory body to audit and reproduce analytical results without ambiguity. Annotating or describing derivations directly on the CRF (as in options A, B, or D) is not sufficient, as CRFs represent data collection instruments-not analytical documentation.
Therefore, the correct and regulatory-compliant practice is to provide the derivation algorithm for a calculated field within the dataset definition file, aligning with both FDA and GCDMP expectations for data integrity and auditability.
Reference (CCDM-Verified Sources):
Society for Clinical Data Management (SCDM), Good Clinical Data Management Practices (GCDMP), Chapter: Data Handling and Processing – Derived and Calculated Data Fields, Section 5.3.3 FDA Guidance for Industry: Providing Regulatory Submissions in Electronic Format, April 2006, Section 3.2 on Dataset Documentation Requirements CDISC Define.xml Implementation Guide – Metadata and Algorithm Documentation for Derived Variables

Q80. An astute monitor discovers that a site is using nebulized albuterol rather than the inhaler provided in the study screening kit for the albuterol challenge. Which is the best response from the Data Manager?

No response is needed, the problem does not impact data

Contact the Ethics Committee

Update the CRF Completion Guidelines and notify all sites of the update

Query the site to enter a Protocol Violation

Q81. In a study, data are key entered by one person after which a second person enters the data without knowledge of or seeing the values entered by the first. The second person is notified during entry if an entered value differs from first entry and the second person’s decision is retained as the correct value. Which type of entry is being used?

Blind verification

Manual review

Third-party compare

Single entry

Q82. Which type of edit check would be implemented to check the correctness of data present in a text box?

Manual Check

Back-end check

Front-end check

Programmed check

A front-end check is a type of real-time validation performed at the point of data entry-typically within an Electronic Data Capture (EDC) system or data entry interface-designed to ensure that the data entered in a text box (or any input field) is valid, logically correct, and within expected parameters before the user can proceed or save the record.
According to the Good Clinical Data Management Practices (GCDMP, Chapter on Data Validation and Cleaning), edit checks are essential components of data validation that ensure data accuracy, consistency, and completeness. Front-end checks are implemented within the data collection interface and are triggered immediately when data are entered. They prevent invalid entries (such as letters in numeric fields, out-of-range values, or improper date formats) from being accepted by the system.
Examples of front-end checks include:
Ensuring a numeric field accepts only numbers (e.g., weight cannot include text characters).
Validating that a date is within an allowable range (e.g., not before the subject’s date of birth).
Requiring mandatory fields to be completed before moving forward.
This differs from back-end checks or programmed checks, which are typically run later in batch processes to identify data inconsistencies after entry. Manual checks are human-performed reviews, often for context or data that cannot be validated automatically (e.g., narrative assessments).
Front-end edit checks are preferred wherever possible because they prevent errors at the source, reducing the number of downstream data queries and cleaning cycles. They contribute significantly to data quality assurance, regulatory compliance, and efficiency in data management operations.
Reference (CCDM-Verified Sources):
Society for Clinical Data Management (SCDM), Good Clinical Data Management Practices (GCDMP), Chapter: Data Validation and Cleaning, Section 6.2 – Edit Checks and Real-Time Data Validation FDA Guidance for Industry: Computerized Systems Used in Clinical Investigations, Section 6 – Data Entry and Verification Controls ICH E6 (R2) Good Clinical Practice, Section 5.5 – Data Handling and Record Integrity CDISC Operational Data Model (ODM) Specification – Edit Check Implementation Standards

Q83. Which is the best way to see site variability in eligibility screening?

List eligibility waivers by site

Summarize screening rate by site

Graph enrollment by site

Plot eligibility rate by site

Q84. A study has an expected enrollment period of one year but has subject recruitment issues. Twelve new sites are added toward the end of the expected enrollment period to help boost enrollment. What is the most likely impact on data flow?

The database set-up will need to be changed to allow for additional sites as they are added to the study.

The distribution of subjects selected for quality control will need to be stratified to allow for the twelve new sites.

A bolus of CRFs at the end of the study will result in the need to increase data entry and cleaning rates to meet existing timelines.

Additional sites will likely have increased query rates since site training is occurring closer to study close.

Q85. Which Clinical Study Report section would be most useful for a Data Manager to review?

Description of statistical analysis methods

Rationale for the study design

Description of how data were processed

Clinical narratives of adverse events

Q86. What method is used for quality control of the query resolution process?

Calculate the time from discrepancy identified to query sent.

Tabulate the number of queries sent per site.

Calculate the time from query sent to query resolution from the site.

Perform random audits of the resolved query forms.

Q87. ePRO data are collected for a study using study devices given to subjects. Which is the most appropriate quality control method for the data?

Programmed edit checks to detect out of range values after submission to the database

Manual review of data by the site study coordinator at the next visit

Data visualizations to look for site-to-site variation

Programmed edit checks to detect out of range values upon data entry

Q88. Which is the best reason why front-end checks are usually kept minimal, when compared to back-end checks, in a paper-based clinical study?

Data entry staff should be able to enter a value into the database just as it appears in the paper CRF

There is no need to alert the site personnel immediately about a data issue, as the study has happened already

There are approvals required to raise a Data Clarification Form which could take time

Data review can be performed at a later time due to the paper-based studies being smaller in size

Q89. A study is collecting ePRO assessments as well as activity-monitoring data from a wearable device. Which data should be collected from the ePRO and activity-monitoring devices to synchronize the device data with the visit data entered by the site?

Study subject identifier

Study subject identifier and date/time

Geo-spatial location

Geo-spatial location and study subject identifier

Q90. The serious adverse event (SAE) database should be reconciled against the clinical trial database prior to which occasion?

Case report form data entry

Expedited safety reporting

Database quality audit

Database closure or locking

SCDM CCDM Exam Syllabus Topics:

Topic	Details
Topic 1	Design Tasks: This section of the CCDM exam measures skills of Data Managers and covers how to design and document data collection instruments, develop workflows and data flows, specify data elements, CRF forms, edit checks, reports, database structure, and define standards and procedures for traceability and auditability.
Topic 2	Testing Tasks: This section measures the skills of Data Managers and involves creating test plans, generating test data, executing validation and user acceptance testing, and documenting results to ensure systems and processes perform reliably and according to specifications.
Topic 3	Data Processing Tasks: This section measures skills of Clinical Systems Analysts and focuses on handling, transforming, integrating, reconciling, coding, querying, updating, and archiving study data while maintaining quality, consistency, and proper privileges over the data lifecycle.
Topic 4	Review Tasks: This section measures the skills of Data Managers and involves reviewing protocols, CRFs, data tables, listings, figures, and clinical study reports (CSRs) for consistency, accuracy, and alignment with data handling definitions and regulatory requirements.
Topic 5	Coordination and Project Management Tasks: This domain evaluates the skills of a Clinical Systems Analyst in coordinating data management workload, vendor selection, scheduling, cross-team communication, project timeline management, risk handling, metric tracking, and preparing for audits.

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[Q74-Q90] Dec-2025 Realistic CCDM Accurate & Verified Answers As Experienced in the Actual Test!

SCDM CCDM Exam Syllabus Topics:

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