Practice Test Geeks(AHIC) AMIA Health Informatics Certification Practice Test
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Data Analytics and Data Management Flashcards

7 cards from real AHIC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. Which data visualization type is most appropriate for displaying the distribution of length-of-stay values across a patient population?

    Answer: Histogram

    A histogram groups continuous values into bins and displays frequency, making it ideal for visualizing the distribution shape of a metric like length of stay.

  2. In a relational database, a foreign key constraint ensures which type of data integrity?

    Answer: Referential integrity

    Referential integrity enforced by foreign keys ensures that a value in one table's column must match an existing primary key value in the referenced table.

  3. A receiver operating characteristic (ROC) curve plots which two metrics against each other for a binary classifier at varying thresholds?

    Answer: Sensitivity and 1-specificity

    The ROC curve plots true positive rate (sensitivity) on the Y-axis against false positive rate (1-specificity) on the X-axis across decision thresholds.

  4. Which data masking technique replaces real PHI values with fictitious but structurally valid values while preserving referential relationships across tables?

    Answer: Synthetic data substitution

    Synthetic data substitution replaces real PHI with realistic fake values (e.g., real-sounding names, valid date formats) while maintaining cross-table consistency for testing.

  5. Which normalization form eliminates transitive dependencies, ensuring that non-key attributes depend only on the primary key and nothing else?

    Answer: Third normal form (3NF)

    Third normal form (3NF) requires that all non-key attributes be directly dependent on the primary key and not on other non-key attributes (no transitive dependency).

  6. A health informatics team implements a data lake to store raw clinical, claims, and genomic data. What distinguishes a data lake from a traditional data warehouse?

    Answer: Data lakes use schema-on-read and store data in its raw native format

    Data lakes store raw data in any format (structured, semi-structured, unstructured) and apply schema at query time (schema-on-read), unlike warehouses that enforce schema-on-write.

  7. Which measure evaluates the proportion of actual positive cases correctly identified by a predictive model, also known as the true positive rate?

    Answer: Sensitivity (Recall)

    Sensitivity (recall) = true positives / (true positives + false negatives), measuring how completely a model identifies all actual positive cases.