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NEW QUESTION # 33
Select the BEST choice for ML solutions architecture coverage.
Answer: C
Explanation:
The correct answer is E. a, b and c only because ML solution architecture must cover the complete path from business need to technical implementation. Business understanding is essential because an ML solution should begin with a clear problem statement, business objective, success criteria, expected value, and operational impact. Without business understanding, the model may solve the wrong problem or fail to create measurable value.
Identification and verification of ML techniques are also part of ML solution architecture because teams must choose suitable algorithms, validate model approaches, compare methods, and confirm that the selected technique fits the data, use case, performance expectations, and business constraints. System architecture of the ML technology platform is equally important because ML solutions require data pipelines, infrastructure, compute resources, model deployment environments, monitoring, security, scalability, and integration with enterprise systems.
Since all three areas are important parts of ML solution architecture coverage, the best answer is E .
NEW QUESTION # 34
Which of the following is NOT a pillar of the GenAI Well-Architected Framework?
Answer: E
Explanation:
The correct answer is D. System Architecture Excellence because it is not normally identified as a standard pillar of a GenAI Well-Architected Framework. Well-architected AI and GenAI frameworks commonly focus on structured pillars such as operational excellence, security and privacy, reliability, performance, cost optimization, responsible AI, and governance-related practices. These pillars help organizations design GenAI solutions that are secure, scalable, reliable, maintainable, and aligned with business and ethical expectations.
Operational excellence is a valid pillar because GenAI systems require proper deployment processes, observability, automation, monitoring, incident response, and lifecycle management. Security and privacy are also essential because GenAI applications often process sensitive data, prompts, outputs, embeddings, and model interactions. Reliability is another valid pillar because GenAI solutions must handle failures, latency, model availability, fallback mechanisms, and consistent service delivery.
"System Architecture Excellence" sounds related to solution design, but it is not a recognized pillar name in the listed framework. Therefore, the option that is NOT a pillar is D .
NEW QUESTION # 35
Which of the following is a common supervised learning model/algorithm?
Answer: E
Explanation:
The correct answer is D. All of the above because Naive Bayes classifier, Support Vector Machine, and linear regression are all commonly used supervised learning algorithms. Supervised learning uses labeled training data, where the model learns the relationship between input features and known output labels or target values.
Naive Bayes is a supervised classification algorithm commonly used for text classification, spam detection, sentiment analysis, and document categorization. Support Vector Machine is also a supervised learning algorithm used for classification and regression tasks by finding an optimal boundary or hyperplane between classes. Linear regression is a supervised learning model used for predicting continuous numeric values, such as sales, prices, demand, or costs, based on input variables.
Since all three listed options are valid examples of supervised learning models or algorithms, the most complete and correct answer is D. All of the above .
NEW QUESTION # 36
What is solution architecture?
Answer: B
Explanation:
Solution architecture is the structured design blueprint that explains how a business or technology solution will be built, integrated, operated, secured, and scaled. Option A is correct because solution architecture guides development and implementation by defining components, workflows, integrations, platforms, data flows, and technical decisions. Option B is also correct because a complete solution architecture considers the whole system, including infrastructure, networking, security, compliance, operations, cost, performance, and reliability. These elements are necessary to ensure that the solution can work in a real enterprise environment.
Option C is also correct because solution architecture does not only address current business requirements. It also supports future growth by planning for scalability, maintainability, adaptability, and long-term business success. Since all three statements accurately describe solution architecture, the most complete and correct answer is E. a, b and c only .
NEW QUESTION # 37
Which of the following is a step for the Value Engineering Framework?
Answer: E
Explanation:
The correct answer is E. All of the above because the Value Engineering Framework focuses on identifying, delivering, and expanding measurable business value from data and AI initiatives. "Define value creation" is a key step because organizations must first clarify the business problem, expected outcomes, success metrics, stakeholders, and value drivers before investing in an AI solution.
"Realize value creation" is also correct because value must be converted from a planned objective into actual operational or financial impact. This may involve deploying the solution, measuring results, improving processes, reducing cost, increasing revenue, improving risk management, or enhancing customer outcomes.
"Scale value creation" is correct because successful AI initiatives should not remain limited to isolated pilots.
Organizations need to scale proven use cases across teams, business units, workflows, and enterprise platforms to maximize return on investment and long-term impact. Since all three options represent steps in value engineering, the best answer is E. All of the above .
NEW QUESTION # 38
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