What is the primary goal of Reinforcement Learning (RL)? To minimize computational complexity To achieve perfect accuracy in predictions To maximize cumulative rewards over time To ensure fairness in decision-making

To maximize cumulative rewards over time

What does Q-learning primarily estimate in the context of Reinforcement Learning? The probability of an event occurring The variance of rewards over time The optimal policy for a given environment The expected future reward of taking an action in a state

The expected future reward of taking an action in a state

In Reinforcement Learning, what is the 'exploration vs exploitation' dilemma? Balancing the trade-off between speed and accuracy Choosing between supervised and unsupervised learning Deciding whether to explore new actions or exploit known ones Determining the best algorithm for a given task

Deciding whether to explore new actions or exploit known ones

What is a Markov Decision Process (MDP) in the context of Reinforcement Learning? A technique for data augmentation A method for optimizing neural network weights A process for feature extraction A mathematical framework for modeling decision-making problems in RL

A mathematical framework for modeling decision-making problems in RL

Which of the following is NOT a type of reinforcement learning algorithm? Generative Adversarial Network (GAN) Deep Q-Network (DQN) Policy Gradient Q-learning

Generative Adversarial Network (GAN)

What is the role of a neural network in Deep Reinforcement Learning (DRL)? To calculate the loss function To perform feature scaling To approximate the Q-function or policy To preprocess input data

To approximate the Q-function or policy

What is the purpose of the discount factor (\[ \gamma \]) in Reinforcement Learning? To reduce overfitting To balance exploration and exploitation To prioritize immediate rewards over future rewards To increase the learning rate

To prioritize immediate rewards over future rewards

Linear programming belongs to a family of tools called _____. Heuristic methods Mathematical programming methods Statistical analysis methods Optimization algorithms

Mathematical programming methods

Which of the following is not true about CRISP-DM process? _____ It is a standard process model for data mining It is widely used in industry It includes phases like data preparation and modeling The process is developed and popularized by SAS, one of the largest analytics companies

The process is developed and popularized by SAS, one of the largest analytics companies

Which three AI tools are being discussed in the context of educational technology? Zoom, Microsoft Teams, Slack Siri, Alexa, Cortana ChatGPT, GoogleNotebookLM, Quizlet Duolingo, Khan Academy, Coursera

ChatGPT, GoogleNotebookLM, Quizlet

What are some of the primary functions of ChatGPT in the context of education? Provides video lectures, conducts exams, grades assignments Acts as a tutor, summarizes key concepts, generates study guides Offers live tutoring, creates interactive simulations, manages classrooms Develops curriculum, schedules classes, monitors attendance

Acts as a tutor, summarizes key concepts, generates study guides

Why is it important to use AI responsibly and not rely solely on it for all tasks in education? AI is too expensive for most educational institutions AI can only be used for administrative tasks AI is not reliable for any educational purposes Because you won't really learn if you let AI do everything

Because you won't really learn if you let AI do everything

What is the main function of Google NotebookLM in organizing educational content? It offers virtual classroom environments It manages student records and grades It summarizes notes and organizes study materials It provides real-time collaboration tools

It summarizes notes and organizes study materials

As a data scientist needing to manage models in Einstein Studio and create prompt templates, which permission sets should you assign? AI Administrator and Prompt Designer Data Cloud Admin and Prompt Template Manager Model Manager and Template Creator Data Scientist and Template Builder

Data Cloud Admin and Prompt Template Manager

Before creating a Field Generation prompt, what must you check to ensure the field can be enabled for generative AI? The Lightning page layout where the field will reside has been upgraded to Dynamic Forms The field is included in the AI data schema The field is accessible by all users The field is marked as AI-ready in the setup

The Lightning page layout where the field will reside has been upgraded to Dynamic Forms

How should you begin validating that the correct fields are being masked after configuring Data Masking within the Einstein Trust Layer? Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page. Run a data masking simulation test Verify the masking settings in the Trust Layer Check the data masking logs for errors

Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.

What should UC do to ensure a new Sales Email prompt template produces results comparable to the standard Sales Email prompts? Use Model Playground to create a model configuration with the specified parameters. Compare the template with historical data Test the template with a sample dataset Adjust the template parameters manually

Use Model Playground to create a model configuration with the specified parameters.

What should you recommend to resolve AI data masking rules that do not align with organizational privacy and security policies? Consult with the legal team for adjustments Disable AI features that conflict with policies Configure data masking in the Einstein Trust Layer setup Update the privacy policy to match AI capabilities

Configure data masking in the Einstein Trust Layer setup

What is causing the problem if you cannot access Prompt Builder in the Setup menu after turning on Einstein Generative AI? The Prompt Template Manager permission set was not assigned correctly. The user does not have admin rights The system is undergoing maintenance The AI module is not fully installed

The Prompt Template Manager permission set was not assigned correctly.

What is the cause of random failures with token limit errors in a Field Generation prompt template? The system is not optimized for large datasets The template exceeds the maximum token limit The AI model is outdated The number of tokens generated by the dynamic nature of the prompt template will vary by record.

The number of tokens generated by the dynamic nature of the prompt template will vary by record.

How should you include instructions on a new line in a prompt template for generating personalized emails? Insert a newline character Use a semicolon to separate lines Use a backslash at the end of the line Surround them with triple quotes (""").

Surround them with triple quotes (""").

What is the primary purpose of data centers in modern technology? To solely provide internet connectivity to end-users. To manufacture hardware components for computers. To store, process, and manage large volumes of data and support services like hosting websites, cloud computing, and AI workloads. To serve as backup facilities for disaster recovery.

To store, process, and manage large volumes of data and support services like hosting websites, cloud computing, and AI workloads.

What challenge do data centers face with the increasing demand for AI? Lack of skilled personnel to manage AI workloads. Power and energy efficiency, including the potential need for nuclear reactors. Insufficient internet bandwidth for data transfer. Inadequate physical space for expansion.

Power and energy efficiency, including the potential need for nuclear reactors.

What are the layers of the TCP/IP model? Application, Transport, Internet, Network Access layers. Session, Presentation, Application, Network layers. Physical, Data Link, Network, Transport layers. Transport, Session, Data Link, Physical layers.

Application, Transport, Internet, Network Access layers.

What is the primary function of the Transport layer in the TCP/IP model? Handles the physical transmission of data. Provides end-to-end communication services for applications. Ensures reliable data transfer, error recovery, and flow control. Routes data packets between networks.

Ensures reliable data transfer, error recovery, and flow control.

How is data secured in transit over a network? By compressing data to reduce size. Through regular data backups. By using high-speed internet connections. Using encryption and secure protocols like HTTPS.

Using encryption and secure protocols like HTTPS.

What is packet sniffing and how can it be prevented? It's a method of compressing data packets. Use larger packets to prevent it. It's a way to enhance network security. Use firewalls to prevent it. It's intercepting data packets to steal information. Encryption mitigates this. It's a technique for speeding up data transfer. Use slower connections to prevent it.

It's intercepting data packets to steal information. Encryption mitigates this.

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