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| Section | Objectives |
|---|---|
| Topic 1: AI Fundamentals and Data Systems | - Developing and deploying data systems related to AI - Fundamentals of Artificial Intelligence and Machine Learning |
| Topic 2: AI Solutions and Workflows | - Advanced robotics - AI workflows - Sentiment analysis - Fraud prevention with Cloud AI solutions |
| Topic 3: Deployment and Maintenance | - Development, deployment, testing, and maintenance of AI applications |
| Topic 4: Neural Networks and Technical Applications | - Designing, developing, and troubleshooting technical applications on neural networks - Enhancing approaches to problems such as translation, speech recognition, and image classification |
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NEW QUESTION # 26
Which one of the following is a CORRECT benefit for using AI in product development?
Answer: A
NEW QUESTION # 27
A retail company has a large dataset of customer purchases but no predefined labels. The AI system groups customers into segments based on similar buying behavior. This is an example of ______.
Answer: C
Explanation:
Unsupervised learning is the correct answer because the dataset does not contain predefined labels or known target outcomes. The AI system is identifying natural patterns in the data and grouping customers with similar purchasing behavior. This type of task is commonly called clustering, which is one of the most common applications of unsupervised learning. Supervised learning is incorrect because there are no labeled examples telling the model which customer belongs to which segment. Reinforcement learning is incorrect because the system is not learning through rewards or penalties. Transfer learning involves reusing knowledge from one trained model for another related task, which is not described here. Semi-supervised learning would involve both labeled and unlabeled data, but this scenario only mentions unlabeled data. Therefore, the correct answer is B. unsupervised learning .
NEW QUESTION # 28
Choose the INCORRECT statement for Industry Architect.
Answer: A
Explanation:
The incorrect statement is B because it describes DevOps, not an Industry Architect. A collaborative approach that bridges development and operations teams is the core idea of DevOps, where software development, IT operations, automation, continuous integration, continuous deployment, monitoring, and delivery practices are aligned to improve speed and reliability.
An Industry Architect, on the other hand, focuses on designing technology and business solutions for a specific industry or vertical, such as healthcare, finance, retail, manufacturing, or telecommunications. This role requires strong domain knowledge, awareness of industry regulations, understanding of business processes, and the ability to translate industry-specific requirements into practical technical solutions. Industry Architects work with executives, subject matter experts, business teams, and technology teams to ensure that solutions meet business goals and industry expectations. Therefore, options A, C, D, and E correctly describe the Industry Architect role, while B is the incorrect statement.
NEW QUESTION # 29
What is the main advantage of using deep learning over traditional machine learning?
Answer: D
Explanation:
The correct answer is B. Better performance with large datasets . Deep learning is especially effective when large volumes of data are available because deep neural networks can automatically learn complex patterns, representations, and relationships from data. Unlike many traditional machine learning methods that often depend heavily on manual feature engineering, deep learning models can learn hierarchical features directly from raw or semi-processed data.
Option A is incorrect because deep learning usually requires more data, not less, to perform well. Option C is also incorrect because deep learning typically requires greater computational power, especially for training large models with many layers and parameters. Option D is incorrect because deep learning is not limited to structured data. It is widely used with unstructured data such as images, audio, video, and natural language.
Therefore, the main advantage of deep learning over traditional machine learning is B. Better performance with large datasets .
NEW QUESTION # 30
Which of the following is the CORRECT stage of the Data and AI Analytics Business Model Maturity Index?
Answer: A
Explanation:
The correct answer is E. All of the above because the Data and AI Analytics Business Model Maturity Index describes how organizations progress in their ability to use data, analytics, and AI for business value creation.
Business Monitoring is a valid stage because organizations first use data to observe performance, track metrics, and understand what is happening in the business. Business Insights is also a correct stage because analytics then helps organizations explain why things are happening and identify patterns, opportunities, and risks.
Business Optimization is another valid stage because mature organizations use analytics and AI to improve processes, decisions, resources, customer experiences, and operational outcomes. Cultural Transformation is also part of maturity because long-term AI and data success requires a shift in mindset, leadership behavior, decision-making culture, and enterprise-wide adoption of data-driven practices.
Since all listed options represent stages or maturity areas in the Data and AI Analytics Business Model Maturity Index, the correct answer is E. All of the above .
NEW QUESTION # 31
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