iSQI Certification Exams Pack
Everything from Basic, plus:
- Exam Name: ISTQB Certified Tester Testing with Generative AI (CT-GenAI) v1.0
- 40 Questions Answers with Explanation Detail
- Total Questions: 40 Q&A's
- Single Choice Questions: 40 Q&A's
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Questions came word for word
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What BEST protects sensitive test data at rest and in transit?
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B
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Explanation
Data security is a paramount concern when using GenAI in testing, as test environments often contain sensitive business logic or PII (Personally Identifiable Information). To protect this data "at rest" (stored in databases or vector stores) and "in transit" (being sent to the LLM), a combination of technical controls is required.Role-Based Access Control (RBAC)is a fundamental security pillar that ensures only authorized individuals or services can access specific datasets or trigger GenAI workflows. This prevents unauthorized users from feeding sensitive enterprise data into public AI models. While encryption (omitted in Option A as an alternative to obfuscation) and TLS (falsely suggested to be disabled in Option C) are essential technical layers for protecting data in transit, RBAC provides the organizational "gatekeeping" necessary to manage who can interact with the AI system. In a professional GenAI strategy, testers must ensure that the tools they use adhere to strict access policies, ensuring that the "Input Data" used for prompting remains within the secured organizational boundary and is not leaked to unauthorized entities or public training sets. |
What distinguishes an LLM-powered agent from a basic AI chatbot in test processes?
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C
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Explanation
While a basic chatbot is primarily designed for textual interaction and information retrieval, anLLM-powered agent(or AI Agent) is characterized by itsagency—the ability to use tools and trigger actions in the external world. In a software testing context, an agent does not just "talk" about testing; it can actually perform testing tasks. For example, an agent could be given the goal to "verify the login module," and it would independently decide to call an API, generate a test script, execute it against a test environment, and then analyze the results to report a bug in Jira. This ability totrigger automated actions(Option C) through "function calling" or tool integration is what makes agents far more powerful than simple conversational interfaces (Option D). Agents can reason about "how" to achieve a goal, selecting the appropriate tools (like Selenium, Postman, or specialized internal utilities) to complete the task. This moves the AI from being a passive advisor to an active participant in the test automation ecosystem, requiring testers to focus more on goal definition and result validation. |
What is a primary compliance concern related to Shadow AI in organizational test environments?
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D
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Explanation
Shadow AIrefers to the use of artificial intelligence tools and services within an organization without explicit approval or oversight from the IT or Security departments. In a software testing environment, this often occurs when testers use public, consumer-grade LLMs to analyze proprietary code or sensitive requirement documents to speed up their work. The primary compliance concern is theviolation of established data handling and regulatory compliance standards(such as GDPR, HIPAA, or SOC2). When sensitive test data is fed into a "shadow" AI tool, that data may be stored on external servers or used to train future iterations of the model, leading to massive data leaks and legal exposure. This bypasses the organization's security controls, such as data masking and role-based access. Unlike "authorized" AI which undergoes a rigorous vendor risk assessment, Shadow AI creates an invisible attack surface. For a test organization, mitigating this risk involves providing approved, secure AI alternatives and implementing strict policies and monitoring to ensure that internal intellectual property is never processed by unvetted external services. |
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Find answers to the most common questions about the iSQI CT-GenAI exam, including what it is, how to prepare, and how it can boost your career.
The iSQI CT-GenAI certification is a globally-acknowledged credential that is awarded to candidates who pass this certification exam by obtaining the required passing score. This credential attests and validates the candidates' knowledge and hands-on skills in domains covered in the iSQI CT-GenAI certification syllabus. The iSQI CT-GenAI certified professionals with their verified proficiency and expertise are trusted and welcomed by hiring managers all over the world to perform leading roles in organizations. The success in iSQI CT-GenAI certification exam can be ensured only with a combination of clear knowledge on all exam domains and securing the required practical training. Like any other credential, iSQI CT-GenAI certification may require periodic renewal to stay current with new innovations in the concerned domains.