IBM C2020-003 Exam Prep
IBM Algo One Fundamentals

Updated On: 6-Apr-2026
QUESTION: 1
Which Algo One components are required to create a custom client DLM thatimplements a new
production quality pricing function?

A. Algo One Compiler and Algo One Standard Library
B. RiskWatch and Algo One Standard Library
C. RiskWatch and AIDB
D. RiskWatch and Risk++

Answer(s): D
QUESTION: 2
What is the standard environment variable that points to the directory that containsthe Algo
Core software?

A. *ALGO_TOP*
B. *ALGO_HOME*
C. *as491*
D. *top491*

Answer(s): B
QUESTION: 3
Regulatory Capital calculates risk-weighted assets and intermediate measuresrequired for
regulatory reporting under which regulatory standard?

A. Solvency II Directive
B. Dodd-Frank
C. Basel Accords
D. Glass-Steagall

Answer(s): C
QUESTION: 4

What do you need to do to setup Algo databases in batch mode?

A. Set the appropriate values in *$ALGO_TOP/cfg/algosuitelocal.xml*, then
run*$ALGO_HOME/setup/bin/algosetupbatch*.
B. Set the appropriate values in *$ALGO_TOP/cfg/algosuiteglobal.xml*, then
run*$ALGO_HOME/setup/bin/algosetupbatch*.
C. Set the appropriate values in *$ALGO_TOP/cfg/algosuitelocal.xml*, then
run*$ALGO_HOME/setup/bin/setupbatch*.
D. Set the appropriate values in *$ALGO_TOP/cfg/algosuiteglobal.xml*, then
run*$ALGO_HOME/setup/bin/setupbatch*.

Answer(s): A

Overview of the IBM Algo One Fundamentals Exam

IBM Algo One Fundamentals validates proficiency in enterprise risk management architecture, specifically targeting Quantitative Analysts, Risk Managers, and System Architects. Candidates must demonstrate technical competency in the Algo One framework, focusing on data integration, multi-asset risk modeling, and regulatory compliance reporting. The assessment evaluates understanding of the Algo One server-side components, data warehousing configurations, and the Algo Financial Modeler engine. Professionals must navigate complex computational workflows, including scenario analysis, liquidity risk measurement, and credit risk quantification. Mastery of the underlying data schemas, performance tuning, and scalable infrastructure deployment remains critical for maintaining systemic integrity within high-frequency financial modeling environments.



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