Infosys Certified Actimize SAM Domain Consultant
Practice with real exam-pattern questions for Infosys Certified Actimize SAM Domain Consultant. Each question includes a detailed explanation to help you understand the concept, not just memorise the answer. Try 10 questions free — no login required.
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Join Premium10 Infosys Certified Actimize SAM Domain Consultant practice questions with answers
Real Lex exam-pattern multiple-choice questions for the Infosys Certified Actimize SAM Domain Consultant certification. Each question includes the correct answer. The full question bank is available to Premium members.
- Question 1
The grouping of physical entities such as parties, account, cards loans
- ✓Logical Entities (LE)Correct
- BPeer Groups (PG)
- CParty Groups (PGR)
- DPhysical Entities (PE)
- Question 2
Segmentation of entities for both AML-SAM rules and the Account or Party Security Blankets.
- ✓Population groupsCorrect
- BPeer Groups (PG)
- CParty Groups (PGR)
- DPhysical Entities (PE)
- EProduct Technical
- Question 3
Priority of Threshold usage when SAM generates alerts
- ✓Population Thresholds > Individual Thresholds > User Defined Thresholds > DefaultCorrect
- BIndividual Thresholds > Population Thresholds > User Defined Thresholds > Default
- CDefault > Population Thresholds >Individual Thresholds > User Defined Thresholds
- DIndividual Thresholds > Population Thresholds > Default > User Defined Thresholds
- Question 4
Can AML-SAM support loading delayed transactions into the UDM database? For example, when a new transaction arrives with the transaction_date_time of Feb 18th after the business day of Feb 20th has already been processed.
- ✓trueCorrect
- Bfalse
- Question 5
Out of the Box SAM solution provides the following white list configuration
- ✓Account White ListCorrect
- BParty White List
- CTransaction White list
- DNone of the above
- Question 6
Learns activity patterns of each account and maintains account activity profile
- ✓Entity Focus ClassificationCorrect
- BLogical Entities Creation
- CAnticipatory Behavior Profiling
- DPeer Group Behavior Profiling
- EHistorical Behavior Profiling
- Question 7
Categorizes accounts into peer groups based on specified criteria and maintains behavior profiles on each peer group
- ✓Historical Behavior ProfilingCorrect
- BLogical Entities Creation
- CAnticipatory Behavior Profiling
- DPeer Group Behavior Profiling
- EEntity Focus Classification
- Question 8
Creates a view of the relationships between individuals/businesses and accounts via types of account ownership, shared identifiers (e.g., SSN, TIN, EIN), house-holding and other relationships.
- ✓Anticipatory Behavior ProfilingCorrect
- BPeer Group Behavior Profiling
- CLogical Entities Creation
- DHistorical Behavior Profiling
- EEntity Focus Classification
- Question 9
Ranks client’s entities (accounts and parties) as high focus based on various criteria that indicate increased risk. Entities with a higher focus score will be subject to elevated scrutiny
- ✓Peer Group Behavior ProfilingCorrect
- BHistorical Behavior Profiling
- CEntity Focus Classification
- DLogical Entities Creation
- EAnticipatory Behavior Profiling
- Question 10
Creates profiles of the expected behavior of accounts based on information provided by the client during the account opening process
- ✓Anticipatory Behavior ProfilingCorrect
- BPeer Group Behavior Profiling
- CEntity Focus Classification
- DHistorical Behavior Profiling
- ELogical Entities Creation
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