Certified Cryptoasset AFC Specialist Certification (CCAS) Free practice questions

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CRYPTOASSET AND BLOCKCHAIN
AML FOUNDATIONS FOR CRYPTOASSET AND BLOCKCHAIN
Common financial crime typologies (e.g.,
smurfing, money mules, trade-based money
laundering, mirror trading, prepaid cashcards)
How cryptoassets can be used in different
financial crime typologies and risks associated
with different cryptoassets (e.g., fraud, tax
evasion, sanctions, NFTs)
How smart contracts can be exploited for
financial crime (e.g., their relationship to fraud
schemes)
Categories of risks (e.g., customer, product,
channel, jurisdiction) and examples of risks
within each category
How reputational risk can impact an
organization (e.g., risk related to not having an
AML compliance program)
Types of cryptoasset risk factors and how to
identify and assess relevant risk factors (e.g.,
customer risk, products and services risk,
geographic risk) (includes common high-risk
customer types)
The risk-based approach to business (e.g., how
to implement and understand an organization’s
risk appetite, using specific organizational
policies to assess risk appetite)
Creating risk assessment frameworks/models
(e.g., how to measure inherent risk, residual risk,
controls effectiveness)
KYC/CDD standards and best practices (e.g.,
type of business; expected behavior (are they
investing) and expected transaction activity;
licensing requirements) (includes knowing your
VASPs and institutions you interact with)
Types of red flags and which red flags apply to
different organizations and different products
Red flags generally associated with cryptoassets
(e.g., traditional red flags, dark markets, AEC,
FinCen red flags, ransomware, FATF Virtual
Assets Red Flag Indicators)
Responsibilities of compliance roles within an
organization (e.g., controlling risk, residual risk
equation, risk-based escalation, dual controls)
RISK MANAGEMENT PROGRAMS FOR CRYPTOASSET AND BLOCKCHAIN
How to risk rate multiple cryptoassets within
one’s own organization using third-party tools
Risk factors associated with different customer
types and common high-risk customer types
(e.g., high volume/high amount users across
different business models)
Risk factors associated with VASP types (e.g.,
Binance vsGemini)
Regulations related to cryptoassets and crossjurisdictional regulatory requirements based
on an organization’s jurisdiction and product
jurisdiction (e.g., FinCEN’s definition of exchange
vsFATF’s definition of VASPs and examples;
travel rule; challenges/nuances related to
obtaining and moving information with the
transaction; regulations prohibiting tipping off)
Differences between policies and procedures
and when to review and update policies and
procedures (e.g., the cadence with which
policies should be reviewed/retested, changes to legislations
The relationship between the customer risk
assessment and the level of KYC/CDD
How to determine source of funds and source
of wealth (e.g., coins, wallet, fiat) (including
recognizing mined cryptoassets in the ledger)
and how to document source of funds
Sources of information that can be used during
customer research (e.g., customer, organization
data, open-source data, internal data)
Available information one can access publicly on the blockchain
Investigation methods for different blockchains
(e.g., Ethereum vsblockchain)
How to identify hot wallet addresses of
cryptocurrency exchanges for the purpose of
assessing risk (e.g., using blockchain analytics;
using a sanctions list)
Blockchain analytics tools and how to use
them for research, monitoring, and customer
risk assessment (e.g., open source blockchain
explorers, how to use analytics to find
transaction history, dashboards, methods of
attribution/attribution of addresses, use of
Anonymity Enhanced Cryptocurrency (AEC)/
obfuscation techniques)
Tracking and tracing and how to read and
interpret transactions in order to follow the
flow of funds (e.g., on ledger/off ledger; best
practices for when to stop tracing a coin; when
to terminate an investigation; how mixing
services apply to investigations; risks associated
with tumblers/mixing services; how privacy coins
impact tracking and tracing)
The definition of risk scores, and what they mean
in risk rating transactions
Procedures for transaction monitoring (e.g.,
retuning; threshold setting based on emerging
trends and typologies; the relation between
an organization’s risk appetite and thresholdsetting; risks related to indirect exposure)
Applications of machine learning and artificial
intelligence (i.e., how to justify and explain
decisions based on these models to regulators)
Internal procedures for escalation and
investigations (e.g., working with relevant stakeholders/teams)
Different types of law enforcement and civil
requests (e.g., legal gateways, types of requests,
responding to law enforcement requests, how
requests inform the Compliance program/how to handle requests)
Suspicious activity/transaction reporting related
to cryptoassets (i.e., elements of a SAR/STR—
narrative, supporting documents, data points;
how filing a cryptoasset SAR/STR can differ from
filing a traditional financial SAR/STR)

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