What is Teradata Vantage, and what are its capabilities? A basic spreadsheet application An advanced analytics platform with embedded analytic engines and functions A simple data storage solution A social media analytics tool

An advanced analytics platform with embedded analytic engines and functions

What is the machine learning technique that uses human feedback to optimize models to self-learn more efficiently? Supervised Learning Reinforcement Learning from Human Feedback (RLHF) Transfer Learning Unsupervised Learning

Reinforcement Learning from Human Feedback (RLHF)

What technique improves the quality and reliability of generative AI models by obtaining facts from external sources? Model Tuning Retrieval Augmented Generation (RAG) Feature Selection Data Augmentation

Retrieval Augmented Generation (RAG)

Following are among the options one can execute to ingest/read the input data files into KNIME, except? All of the other answers are true Using CSV Reader Using Database Connector Using Excel Reader

All of the other answers are true

Which of the following is not predicted to be one of the changes in the nature of work that may be caused by intelligent systems? Shift towards more creative job roles Greater demand for data analysis skills Changes would be rapid, and all jobs directly affected within a decade Increased automation of routine tasks

Changes would be rapid, and all jobs directly affected within a decade

The advantages of DaaS includes all of the following, except? Scalability Integration and processing of large dataset is a breeze (efficiency) Cost-effectiveness Ease of access

Integration and processing of large dataset is a breeze (efficiency)

What is the purpose of the IAPP AIGP Practice Exam? To guarantee success on the AIGP certification exam To replace the need for formal AI education To identify strengths and weaknesses in the AIGP body of knowledge To provide a comprehensive guide to AI ethics

To identify strengths and weaknesses in the AIGP body of knowledge

What does success on the AIGP practice exam indicate? It ensures a deep understanding of AI ethics It certifies the candidate as an AI expert It does not guarantee success on the official AIGP certification exam It guarantees success on the official AIGP certification exam

It does not guarantee success on the official AIGP certification exam

Which organization is responsible for the AIGP certification? International Organization for Standardization (ISO) Institute of Electrical and Electronics Engineers (IEEE) International Association of Privacy Professionals (IAPP) American Institute of Certified Public Accountants (AICPA)

International Association of Privacy Professionals (IAPP)

What does the AIGP body of knowledge encompass? A detailed analysis of AI hardware requirements A comprehensive guide to AI programming languages Topics and knowledge areas relevant to AI Governance Professional certification A list of AI ethical dilemmas

Topics and knowledge areas relevant to AI Governance Professional certification

What does CIPP® stand for? Certified International Privacy Practitioner Certified Information Privacy Professional Certified Internet Privacy Protector Certified Information Processing Professional

Certified Information Privacy Professional

What is AI integrity concerned with? Creating AI systems that can operate autonomously Developing AI systems that can pass the Turing test Ensuring AI systems and data are representative, accurate, and unbiased Ensuring AI systems are cost-effective

Ensuring AI systems and data are representative, accurate, and unbiased

What is supervised learning in machine learning? A machine learning approach where the model learns from unlabeled data A machine learning approach where the model learns through trial and error A machine learning approach that combines both labeled and unlabeled data A machine learning approach where the model is trained on labeled data

A machine learning approach where the model is trained on labeled data

What characterizes unsupervised learning? The model learns from unlabeled data The model uses reinforcement signals The model is trained on labeled data The model learns through trial and error

The model learns from unlabeled data

How does reinforcement learning work? The model combines both labeled and unlabeled data The model is trained on labeled data The model learns to make decisions through trial and error The model learns from unlabeled data

The model learns to make decisions through trial and error

What is semi-supervised learning? A machine learning approach where the model learns from unlabeled data A machine learning approach that combines both labeled and unlabeled data for training A machine learning approach where the model learns through trial and error A machine learning approach where the model is trained on labeled data

A machine learning approach that combines both labeled and unlabeled data for training

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