In a neural network, what does it mean if many pathways from one node to another have a coefficient of 0? The nodes are highly correlated The network is overfitting The first node doesn't affect the second node The nodes are redundant

The first node doesn't affect the second node

What is the danger of using generative AI for all of a website's SEO content? It will increase the website's loading time It will lead to copyright infringement issues It will require more server resources It is likely to be lower in quality than similar content elsewhere online and thus will not improve search engine rankings

It is likely to be lower in quality than similar content elsewhere online and thus will not improve search engine rankings

Why might implementing many different campaigns on the Google Ad Network be a bad idea? It will require more staff to manage It can dilute the effectiveness of each campaign It will increase the overall advertising budget It will lead to higher server costs

It can dilute the effectiveness of each campaign

Why are neural networks named as such? Their structure of nodes and connections can be considered analogous to neurons They were first developed for neuroscience research They are used exclusively in brain simulations They require neural input to function

Their structure of nodes and connections can be considered analogous to neurons

If both Google and Facebook claim credit for the same orders in an advertising campaign, what might be happening? The orders are being duplicated in the system The data is being misreported by the analytics tools The ads are not reaching the intended audience Google and Facebook are claiming credit for some of the same orders

Google and Facebook are claiming credit for some of the same orders

In what way does AI optimization increase attribution problems in digital marketing? It simplifies the attribution process It can obscure which ads are truly effective It reduces the need for human oversight It increases the cost of advertising

It can obscure which ads are truly effective

Why should the prompt for generative AI ad creation include information about the targeted customer segment? It speeds up the ad creation process It will reduce the cost of ad creation It ensures compliance with advertising standards AI responses will likely be generic and less likely to attract the targeted customer

AI responses will likely be generic and less likely to attract the targeted customer

What does Natural Language Processing (NLP) concern itself with? involves techniques that do not work for 'artificial languages' like Esperanto or programming languages, like Java NONE of the other statements are true involves the synthesis of natural compounds, such as organic materials, from their chemical language descriptions concerns the computational analysis, interpretation, and production of natural language

concerns the computational analysis, interpretation, and production of natural language

What might you do to improve the performance of a multilingual BERT based classifier performing poorly? train it for another epoch to see if the validation performance increases check whether a monolingual BERT model exists for your language and if so, test it try increasing the batch size if memory on the GPU allows ALL of the other answers are valid

ALL of the other answers are valid

In Multi-task learning, what is the aim/benefit of fine-tuning a Language model to perform many different tasks at the same time? generalise knowledge across the different tasks and thus to perform better on any particular task ALL the other answers are correct become so good at general-purpose question answering that it can generalise even to new domains learn to do many tasks contemporaneously, so we don't need to deploy and maintain many task-specific models

generalise knowledge across the different tasks and thus to perform better on any particular task

Which of the following statements about the most frequently occurring words in a corpus is true? they are the most important words in the query they should never be removed during preprocessing NONE of the other answers are correct they are the most discriminative words in any document

NONE of the other answers are correct

In a web search engine, which signals might provide useful features to the rank learner? the similarity between the text of incoming hyperlinks and the query the distance between geographic locations associated with the webpage and the location of the user the number of hyperlinks from other webpages that link to this particular page ALL of the other options are correct

ALL of the other options are correct

_____ include the people, procedures, hardware, software, data, and knowledge needed to develop computer systems and machines that can simulate human intelligence processes including learning, reasoning, and self-correction. Artificial intelligence systems Data analytics tools Robotic systems Computer networks

Artificial intelligence systems

How do recommendation algorithms work by tracking user interactions? By analyzing purchase history By evaluating search queries By tracking likes, shares, clicks, and comments By monitoring browsing history

By tracking likes, shares, clicks, and comments

How do recommendation algorithms use the data we provide them? By deleting it after use By storing it for future use By curating personalized content By selling it to third parties

By curating personalized content

What are three examples of recommendation algorithms in use today? Google search results, Facebook news feed, Instagram explore YouTube recommendations, TikTok's For You page, personalized ads Netflix suggestions, Amazon product recommendations, Spotify playlists LinkedIn job suggestions, Twitter trends, Pinterest boards

YouTube recommendations, TikTok's For You page, personalized ads

As a manager of a graphic design team tasked with creating promotional materials under a tight deadline, which approach using generative AI would be most effective for generating realistic images from textual descriptions? Use a generative adversarial network (GAN) to create a variety of realistic images based on textual descriptions provided by the marketing team. Utilize reinforcement learning to optimize image selection. Apply backpropagation to improve image quality. Employ a convolutional neural network (CNN) to enhance image resolution.

Use a generative adversarial network (GAN) to create a variety of realistic images based on textual descriptions provided by the marketing team.

As the head of a logistics company facing frequent supply chain disruptions due to unpredictable demand fluctuations, which of the following best uses generative AI to improve efficiency? Apply generative AI to enhance customer service interactions. Implement generative AI to automate warehouse operations. Use generative AI to forecast demand trends and simulate various supply chain scenarios for better planning. Use generative AI to develop new product designs.

Use generative AI to forecast demand trends and simulate various supply chain scenarios for better planning.

As the HR manager of a growing tech company implementing generative AI to streamline the recruitment process, what is a crucial step to ensure fairness and accuracy in the AI system? Using AI to automate interview scheduling. Applying AI to generate job descriptions. Implementing rigorous testing and auditing of the AI system to identify and correct biases in the resume screening process. Employing AI to conduct initial candidate interviews.

Implementing rigorous testing and auditing of the AI system to identify and correct biases in the resume screening process.

When executing the initial run of an Azure AI Search indexer, which stages are included? field mapping, skillset execution, and output field mapping only skillset execution and output field mapping only document cracking and field mapping only document cracking, field mapping, skillset execution, and output field mapping

document cracking, field mapping, skillset execution, and output field mapping

Which skill should you use in Azure AI Search to generate links to Wikipedia articles during AI enrichment? Microsoft.Skills.Text.V3.LanguageDetectionSkill Microsoft.Skills.Text.V3.KeyPhraseExtractionSkill Microsoft.Skills.Text.V3.SentimentSkill Microsoft.Skills.Text.V3.EntityLinkingSkill

Microsoft.Skills.Text.V3.EntityLinkingSkill

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