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IBM Certified watsonx Mainframe Modernization Architect v1 - Associate Free Sample Questions

Description

Covers watsonx Code Assistant for Z fundamentals, architecture and provisioning, explaining and discovering mainframe applications, code optimization, and validation.

12 free sample questions146 in the full practice test

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C1000-187 Sample Questions

  1. Question 1

    Intermediate

    watsonx Code Assistant for Z Overview · Modernization needs and business value

    A large financial institution is planning to modernize its core banking system running on IBM Z. The CIO has identified a critical shortage of COBOL skills and a need to accelerate feature delivery as primary drivers. Which modernization approach using watsonx Code Assistant for Z best addresses these specific business drivers while minimizing operational risk?

    Answer and explanation

    Correct answer: B

    Selective transformation addresses the skills gap by converting frequently modified (high-churn) code to Java, a language with a larger talent pool, while minimizing risk by keeping stable, low-churn core logic in COBOL. This leverages watsonx Code Assistant for Z's specific capabilities for incremental modernization.

  2. Question 2

    Intermediate

    watsonx Code Assistant for Z Overview · Components and deployment options

    A solutions architect is designing the deployment architecture for watsonx Code Assistant for Z. The client requires strict data sovereignty and cannot allow any intellectual property (source code) to leave their on-premises data center. Which Large Language Model (LLM) deployment option must be selected?

    Answer and explanation

    Correct answer: C

    To meet strict data sovereignty requirements where code cannot leave the data center, the on-premises deployment of the IBM Granite model is required. This ensures all inference processing happens locally within the client's firewall.

  3. Question 3

    BeginnerMultiple answers

    watsonx Code Assistant for Z Overview · Components and deployment options

    Which of the following components are core parts of the IBM watsonx Code Assistant for Z solution architecture? (Select TWO)

    Answer and explanation

    Correct answers: A, C

    ADDI is a core component used for the 'Understand' and 'Discovery' phases, creating the application inventory and dependency maps required before modernization.

    The Z Validation Assistant is a key component for the 'Validate' phase, ensuring semantic equivalence between the original COBOL and the transformed Java code.

  4. Question 4

    Beginner

    watsonx Code Assistant for Z Overview · Modernization needs and business value

    True or False: The IBM Granite model used in watsonx Code Assistant for Z is a general-purpose Large Language Model trained primarily on internet text and Wikipedia articles.

    Answer and explanation

    Correct answer: B

    False. The IBM Granite model for Z is a domain-specific model specifically trained on a massive dataset of enterprise COBOL, PL/I, Java, and JCL to understand mainframe context, syntax, and business logic patterns.

  5. Question 5

    Intermediate

    watsonx Code Assistant for Z Overview · Modern application architecture patterns

    In the context of the Strangler Fig pattern applied to mainframe modernization using watsonx Code Assistant for Z, what is the primary objective?

    Answer and explanation

    Correct answer: B

    The Strangler Fig pattern involves incrementally replacing specific pieces of functionality with new services (e.g., transformed Java modules) while the old system continues to operate, eventually replacing the entire legacy system or reducing it to a minimal core.

  6. Question 6

    Beginner

    watsonx Code Assistant for Z Overview · Modernization needs and business value

    When defining the 'Understand' phase in the watsonx Code Assistant for Z lifecycle, which activity is primarily performed?

    Answer and explanation

    Correct answer: B

    The 'Understand' phase leverages ADDI to discover assets, map dependencies, and analyze complexity to identify the best candidates for modernization.

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