Which of the following is a way Big Data benefits Artificial Intelligence? New models can be trained with larger datasets Increases the speed of data transmission Eliminates the need for human oversight Reduces the need for data preprocessing

New models can be trained with larger datasets

Order the events by the correct sequence in the development of AI. AI begins to learn autonomously Theoretical background for AI is created AI is integrated into everyday devices AI systems surpass human intelligence

Theoretical background for AI is created

Match reliable and unreliable conditions of using AI. AI assistant used for data processing task AI for autonomous vehicle navigation AI used for critical medical diagnosis AI for creative writing tasks

AI assistant used for data processing task

Identify features of a regular software system and an AI system. All processes are explicitly coded by developers Processing steps are not directly programmed by the developer System behavior is entirely predictable No learning from data occurs

Processing steps are not directly programmed by the developer

Which of the following approaches enable ethical use of AI? Federated learning approach to anonymize data Centralized data collection Ignoring data privacy concerns Unrestricted data sharing

Federated learning approach to anonymize data

Which of these are key mistakes to look for in AI development? Ignoring model interpretability Focusing solely on accuracy metrics Over-reliance on small datasets Disconnect between AI developers and their customers

Disconnect between AI developers and their customers

Match the following AI tools with their functions. Natural Language Processing: Used for image recognition Robotics: Used for data analysis Machine Learning: Used to make quantifying predictions or identify objects Expert Systems: Used for speech synthesis

Machine Learning: Used to make quantifying predictions or identify objects

Match a particular research breakthrough with its description. GAN: Neural networks utilized for data generation based on examples SVM: Used for clustering tasks RNN: Used for static image classification CNN: Used for sequential data processing

GAN: Neural networks utilized for data generation based on examples

Which types of content can generative AI produce? Only text and images Only structured data Text, images, videos, and other data types Only videos and audio

Text, images, videos, and other data types

Which Microsoft 365 subscription(s) is required for Copilot for Microsoft 365? Microsoft 365 Business Standard or Microsoft 365 Business Premium subscription Microsoft 365 Family subscription Office 365 Home subscription Microsoft 365 Personal subscription

Microsoft 365 Business Standard or Microsoft 365 Business Premium subscription

Which of the following way(s) can you access Copilot for free? Only through a paid subscription Windows 10 or 11, Bing search engine, Edge browser Using any web browser Through a mobile app

Windows 10 or 11, Bing search engine, Edge browser

Which of the following is a specific Copilot prompt? Write a novel Create a business plan Design a website Compose a concise guide on common security threats on personal computer

Compose a concise guide on common security threats on personal computer

How should an AI Specialist obtain related items for creating a Sales Email with a custom prompt template? Utilize a standard email template and manually insert the required data fields. Call a prompt initiated flow to fetch and ground the required data. Create a flex template that takes the records in question as inputs. Use a pre-defined template without modifications.

Call a prompt initiated flow to fetch and ground the required data.

What could be a possible explanation for poor prompt performance when case summaries generated by Einstein Generative AI are not returning appropriate information? The Einstein Trust Layer is incorrectly configured. The prompt template version is incompatible with the chosen LLM. The data being used for grounding is incorrect or incomplete. The user permissions are not set correctly.

The data being used for grounding is incorrect or incomplete.

Why might the preview button be greyed out when checking the response of a Flex prompt template? The records related to the prompt have not been selected. The prompt has not been saved and activated. The template is not linked to any data source. A merge field has not been inserted in the prompt.

The records related to the prompt have not been selected.

Which AI capability should Universal Containers use to offer personalized service experiences and reduce agent handling time with AI-generated email responses? Einstein Service Replies for Email Einstein Automated Responses Einstein Generative Service Replies for Email Einstein Email Replies

Einstein Service Replies for Email

How should an AI Specialist begin validating that the correct fields are being masked in Data Masking within the Einstein Trust Layer? Use a Flow-based resource in Prompt Builder to debug the fields merge values using Flow Debugger. Manually check each field for masking compliance. Request the Einstein Generative AI Audit Data from the Security section of the Setup menu. Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.

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

How should an AI Specialist gather the necessary data for a prompt template to fill a custom field named Latest Opportunities Summary on the Account object? Select the latest Opportunities related list as a merge field. Select the Account Opportunity object as a resource when creating the prompt template. Use a standard report to gather the data. Create a flow to retrieve the opportunity information.

Select the Account Opportunity object as a resource when creating the prompt template.

Which grounding technique should an AI Specialist use to configure the system for sending personalized follow-up emails to leads based on interactions and data stored in Salesforce? Ground with Record Merge Fields Ground with Apex Merge Fields Automatic grounding using Draft with Einstein feature Manual data entry

Ground with Record Merge Fields

Why should the marketing team at Universal Containers use Einstein Copilot to personalize emails based on customer behavior, preferences, and purchase history? To generate relevant content when engaging with each customer To analyze past campaign performance To send automated emails to all customers To track email open rates

To generate relevant content when engaging with each customer

As the world and business changes, organizations have to decide between embracing new technology and transforming, or keeping their technology and approaches the same. What risks might an organization face by not transforming as their market evolves? Focusing on 'how' they operate can prevent organizations from seeing transformation opportunities. Focusing on 'why' they operate can lead to inefficient use of resources and disruption. Embracing new technology can cause organizations to overspend on innovation. Organizations risk losing market leadership if they spend too much time on digital transformation.

Focusing on 'how' they operate can prevent organizations from seeing transformation opportunities.

How do data analytics and business intelligence differ from AI and ML? Data analytics and business intelligence are used only in small businesses, whereas AI and ML are used exclusively by large corporations. Data analytics and business intelligence identify trends from historical data, whereas AI and ML use data to make decisions for future business. Data analytics and business intelligence use automated decision-making processes, whereas AI and ML require human intervention and interpretation of data. Data analytics and business intelligence involve advanced algorithms for predicting future trends, whereas AI and ML focus on processing historical data.

Data analytics and business intelligence identify trends from historical data, whereas AI and ML use data to make decisions for future business.

What does the consistency dimension refer to when data quality is being measured? Whether the data is uniform and doesn't contain any contradictory information. Whether all the required information is present. Whether a dataset is free from duplicate values that could prevent an ML model from learning accurately. Whether the data is up-to-date and reflects the current state of the phenomenon that is being modeled.

Whether the data is uniform and doesn't contain any contradictory information.

Which three essential aspects of cloud security form the foundation of the CIA triad? Compliance, identity, and access management Certificates, intelligence, and authentication Containers, infrastructure, and architecture Confidentiality, integrity, and availability

Confidentiality, integrity, and availability

What are the three key components that determine the type of machine learning? Task, Performance Measure, Experience Input, Process, Output Data, Model, Evaluation Algorithm, Data, Output

Task, Performance Measure, Experience

What does Chapter 1 of the document 'Handbook of AI and Big Data in Investments' suggest as a primary reason(s) for investment professionals to gain a better understanding of AI and big data? To reduce investment risks to zero To automate all investment decisions To leverage these technologies for improving stock portfolio performance To replace human analysts with AI

To leverage these technologies for improving stock portfolio performance

A company employs a team of customer service agents to provide support. They develop a webchat bot for automated answers. Which business benefit should the company expect? improved product reliability enhanced customer satisfaction increased sales a reduced workload for the customer service agents

a reduced workload for the customer service agents

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