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EPIC COG170 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Epic Databases | - Real-time vs. analytical database structures - Chronicles, Clarity, and Caboodle |
| Reporting Workbench and Templates | - Configuring access, visibility, and security settings - Differentiating reports (HRX) and templates (HGR) |
| Metric Framework | - Configuring key performance indicators and thresholds - Metric tracking using CSF, IDB, IDN, and IDK |
| Dashboards and Components | - Creating and configuring dashboards - Managing visibility, views, and component behavior - Customizing layout, visuals, and data connections |
| SlicerDicer Concepts | - Functional differences between filters and slices - Linking dashboard inputs for dynamic reporting |
| Personalization and Access | - Role-based personalization for dashboard access - Controlling visibility via 'Ready for Use' and user roles |
| Key Master Files and Records | - Identifying functions of PAF, HRX, IDK, HCM, HGG files |
EPIC Epic Cogito Fundamentals Sample Questions:
1. What is a key step in building a Reporting Workbench report from scratch?
A) Assigning the report to a provider
B) Selecting a configured template
C) Enabling proxy mode
D) Linking it to Clarity via Caboodle
2. A Cogito SQL report, sourced from Clarity, groups patient encounters by diagnosis code and calculates multiple summary metrics (e.g., count, average cost). The report requires a trace log and must be restricted to financial analysts. Which steps ensure the report is correctly configured?
A) Use Caboodle, assign user roles in Hyperspace, and configure Threshold Overrides.
B) Create in SlicerDicer, add diagnosis code slices, enable trace logging, and restrict via Action Groups.
C) Build in Chronicles, configure summary targets, disable ad hoc searches, and set security points.
D) Use Clarity, define grouping in the Display tab, enable trace logging, and assign a Report Group for financial analysts.
3. In a SlicerDicer session using an extended data model, adding a slice by a categorical field with high cardinality causes performance degradation. To optimize for advanced querying on large populations, what strategy should be employed?
A) Switch to Clarity-based reporting for high cardinality
B) Edit the FDM to index the categorical field
C) Pre-filter the population with criteria to reduce size before slicing
D) Use measures with aggregation to summarize instead of slicing
4. To diagnose why a Caboodle-based SlicerDicer session does not show data from a custom Clarity table, what tool to check extraction?
A) Dashboard logs
B) Record Viewer
C) Workbench test
D) Clarity Dictionary for table definitions and Caboodle admin for dimension status
5. True or False: For advanced metrics, you can define dependencies between metric definitions in IDN, where one metric's value affects another's calculation in a dashboard component.
A) False
B) True
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: B,C | Question # 4 Answer: D | Question # 5 Answer: B |




