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MODULE 07 · ~3 hrs

Exam Preparation & Practice

Final preparation for the TCAIA proctored exam. Covers exam format, cross-module integration exercises, case study practice, and timed practice questions.

7.1 — Exam Format and Structure

The TCAIA exam is a 2-hour proctored online examination consisting of 80 questions covering all six preceding modules. Understanding the format helps you allocate time and effort effectively.

Exam Structure
Question TypeCountDescription
Multiple Choice (Single Answer)50Four options, one correct answer
Multiple Select15Four+ options, two or more correct answers
Scenario-Based15Read a case study, answer 3-5 related questions (across 3 case studies)
Module Weight Distribution
ModuleWeightApprox. Questions
01 — NIST AI RMF15%~12 questions
02 — ISO/IEC 4200120%~16 questions
03 — EU AI Act20%~16 questions
04 — India DPDP + RBI15%~12 questions
05 — Model Cards & Red-Teaming15%~12 questions
06 — Audit Documentation & Governance15%~12 questions
TIME MANAGEMENT

You have 120 minutes for 80 questions — that's 1.5 minutes per question on average. Strategy: spend ~1 min on MC questions, ~1.5 min on multi-select, and ~2-3 min on scenario questions. Flag difficult questions and return to them. Passing score is 70% (56/80).

Results are provided within 24 hours. Candidates who do not pass may retake the exam after a 14-day waiting period (one free retake included, additional retakes at ₹2,999).

Key Points
2-hour proctored exam, 80 questions
Three question types: MC, multi-select, scenario-based
Passing score: 70% (56/80)
14-day wait between retakes
ISO 42001 and EU AI Act are highest weighted (20% each)

7.2 — Cross-Module Integration

The exam tests your ability to connect concepts across modules. Expect questions that require applying knowledge from multiple frameworks simultaneously.

Framework Mapping: NIST ↔ ISO 42001 ↔ EU AI Act
NIST AI RMF Function
ISO 42001 Clauses
EU AI Act Requirements
GOVERN
Cl. 5 (Leadership) + Cl. 6 (Planning)
Quality Management System, AI Literacy (Art. 4)
MAP
Cl. 4 (Context) + Cl. 8 (Operation — risk assessment)
Risk Classification (Art. 6), Conformity Assessment
MEASURE
Cl. 9 (Performance Evaluation)
Post-Market Monitoring, Performance Testing
MANAGE
Cl. 8 (Operation — risk treatment) + Cl. 10 (Improvement)
Incident Reporting, Corrective Actions
Multi-Framework Compliance Approach
Identify Systems
Inventory all AI systems
Classify Risks
Per each framework
Map Controls
Unified control set
Assess Gaps
Against all requirements
Remediate
Prioritized action plan
EXAM TIP

Common integration question pattern: 'An organization operating in both India and the EU must comply with...' — You need to identify applicable laws (DPDP Act + GDPR + EU AI Act), map overlapping requirements, and recommend a unified governance framework (ISO 42001 + NIST AI RMF).

Auditors must assess compliance holistically — checking whether an organization's single governance framework adequately addresses requirements from multiple applicable regulations and standards.

Key Points
Exam tests cross-module connections
Framework mapping across NIST, ISO, EU AI Act
Multi-jurisdiction compliance analysis
Lifecycle coverage across frameworks
Holistic audit approach across all applicable standards

7.3 — Case Study Practice

Scenario-based questions present real-world situations where you must identify applicable regulations, required controls, and appropriate audit findings. Practice the 5-step approach below.

5-Step Case Study Approach
01
Identify & Classify

What is the AI system? What risk tier does it fall under in each applicable framework?

02
Determine Jurisdictions

Which countries/regions are involved? Which regulations apply (EU AI Act, DPDP, GDPR, RBI)?

03
Map Required Controls

What controls, documentation, and assessments are required from each applicable framework?

04
Identify Gaps

What is missing or non-compliant based on the scenario details?

05
Recommend Remediation

Provide specific, actionable recommendations — not vague 'improve governance' statements.

Three Case Study Archetypes
Archetype
Scenario
Key Frameworks
Focus Areas
High-Risk AI Audit
EU bank deploys AI credit scoring
EU AI Act (high-risk) + GDPR + ISO 42001
Fairness testing, human oversight, conformity assessment
GPAI Compliance
Startup releases open-source foundation model
EU AI Act (GPAI/systemic risk) + copyright law
Systemic risk threshold, training data transparency, open-source exemptions
Indian Enterprise
Indian NBFC uses third-party AI for loan underwriting
DPDP Act + RBI guidelines + vendor due diligence
Explainability, data localization, consent, third-party responsibility
PRACTICAL RECOMMENDATIONS

The exam rewards specific, actionable recommendations over generic statements. Instead of 'improve documentation,' say 'Create model cards following Mitchell et al. (2019) framework with all 8 sections, and establish a quarterly review cycle.' Specificity demonstrates competence.

Key Points
Three case study archetypes on the exam
Five-step approach: classify → jurisdictions → controls → gaps → remediate
Must apply multiple frameworks simultaneously
Practical, specific recommendations score higher
Time allocation: ~2-3 minutes per scenario question
// Practice Questions
Q1: A company operates in both India and the EU. Which data protection laws apply to their AI systems?
Show Answer

DPDP Act 2023 (India) and GDPR (EU). If their AI system is high-risk under the EU AI Act, additional requirements apply. If they are a Significant Data Fiduciary under DPDP, they need a DPO, DPIAs, and independent audits.

Q2: How would you map NIST AI RMF functions to ISO 42001 clauses?
Show Answer

GOVERN maps to Clauses 5 (Leadership) and 6 (Planning). MAP maps to Clause 4 (Context) and Clause 8 (Operation — risk assessment). MEASURE maps to Clause 9 (Performance Evaluation). MANAGE maps to Clause 8 (Operation — risk treatment) and Clause 10 (Improvement).

Q3: An AI system used for employee hiring in the EU — what risk tier does it fall under and what's required?
Show Answer

High-risk under Annex III (employment, workers management). Required: risk management system, data governance, technical documentation, record-keeping, transparency to deployers, human oversight, accuracy/robustness/cybersecurity, conformity assessment, CE marking, EU database registration, and post-market monitoring.

Q4: Describe your approach to auditing a multi-jurisdictional AI system.
Show Answer

Five-step approach: (1) Identify and classify the AI system under each applicable framework, (2) Determine all applicable jurisdictions and regulations, (3) Map required controls from each framework into a unified control set, (4) Identify gaps through evidence collection and testing, (5) Recommend specific remediation actions prioritized by severity and regulatory urgency.

Q5: What is the exam time management strategy for the TCAIA exam?
Show Answer

120 minutes for 80 questions = 1.5 min average. Allocate ~1 min for MC questions (50), ~1.5 min for multi-select (15), and ~2-3 min for scenario questions (15). Flag difficult questions and return to them. This leaves ~10-15 minutes for review.

Q6: An Indian NBFC uses a third-party AI model for credit scoring. List all compliance requirements.
Show Answer

DPDP Act: consent for data processing, transparency about AI use, data principal rights. RBI: model governance framework, independent validation, explainability for rejections, data localization for payment data. Third-party management: vendor due diligence, contractual safeguards, the NBFC remains fully responsible for compliance regardless of the vendor relationship.

06. Audit Documentation & GovernanceTake the Exam →