Q1: How does 24/7 availability benefit industries?
A. It allows companies to reduce costs in the long runB. It benefits customer service without fatigue or breaksC. It allows employees to work more flexible hoursD. It ensures employees never take breaksAnswer :
Correct Answer: B. It benefits customer service without fatigue or breaks
Q2: What are the two parts of generative AI model called GANs?
A. Encoder and DecoderB. Training and TestC. Generator and DiscriminatorD. None of the aboveAnswer :
Correct Answer: C. Generator and Discriminator
Q3: What is the encoder-decoder architecture of transformer models used for?
A. Sentiment analysisB. Financial text generationC. Document classificationD. Language translation and text generationAnswer :
Correct Answer: D. Language translation and text generation
Q4: Autoregressive models are useful for which of the following applications in finance?
A. Natural language processingB. Time series forecastingC. Sentiment analysisD. Image classificationAnswer :
Correct Answer: B. Time series forecasting
Q5: What is the goal of the discriminator in adversarial training of GANs?
A. An insurance policyB. A type of bank accountC. A financial documentD. An AI subset that uses neural networks and deep learning to improve systems without explicit programmingAnswer :
Correct Answer: None of the above (The discriminator’s goal is to distinguish real vs fake data)
Q6: What is the aim of the discriminator in GANs?
A. To distinguish between authentic and fake dataB. To help in risk modelingC. To produce fresh samples that closely mimic genuine financial dataD. To generate synthetic financial dataAnswer :
Correct Answer: A. To distinguish between authentic and fake data
Q7: What is the full form of GANs?
A. General Adverse NetworkB. General Artificial NetworksC. Generative Adverse NetworksD. Generative Artificial NodesAnswer :
Correct Answer: Generative Adversarial Networks
Q8: How can translation technology be used in finance?
A. To make financial content multilingual and improve consumer interactionsB. To deliver personalized financial recommendationsC. To improve customer service by converting speech to textD. To extract structured and unstructured data from documentsAnswer :
Correct Answer: A. To make financial content multilingual and improve consumer interactions
Q9: What is one area where AI has been applied to update customer experiences in insurance?
A. Call transcriptionB. Document processing and onboardingC. Risk modelingD. Compliance managementAnswer :
Correct Answer: B. Document processing and onboarding
Q10: How does the expansion of data impact the finance industry?
A. It makes it easier to analyze using conventional techniquesB. It makes it difficult to analyze using conventional techniquesC. It reduces the amount of data used in decision-makingD. None of the aboveAnswer :
Correct Answer: B. It makes it difficult to analyze using conventional techniques
Q11: What type of variables can be forecasted using autoregressive models?
A. Textual variables such as news articlesB. Numerical variables such as age and weightC. Categorical variables such as gender and occupationD. Financial variables such as interest rates and stock pricesAnswer :
Correct Answer: D. Financial variables such as interest rates and stock prices
Q12: How generative AI can be used in financial institutions?
A. To minimize the use of machine learning algorithmsB. To optimize their portfolioC. To increase the amount of manual operationsD. To reduce the amount of data collectedAnswer :
Correct Answer: B. To optimize their portfolio
Q13: What type of input does the GAN's generator use to produce synthetic financial data?
A. Transaction logsB. Genuine financial dataC. Random noiseD. Market indicatorsAnswer :
Correct Answer: C. Random noise
Q14: How does a GAN discriminator learn to distinguish between authentic and fake financial data?
A. By deceiving the generator by providing samples that are more and more like real dataB. By categorizing the generated samples as false after learning to recognize the distinctive features of authentic financial dataC. By improving their ability to discern between actual and created dataD. By producing fresh samples that closely mimic genuine financial dataAnswer :
Correct Answer: B. By categorizing the generated samples as false after learning to recognize the distinctive features of authentic financial data
Q15: What is one benefit of AI in terms of accuracy for financial services firms?
A. Personalized customer experiencesB. Accuracy in data processing and analyticsC. Time savingD. Improved decision-makingAnswer :
Correct Answer: B. Accuracy in data processing and analytics
Q16: How do AI help organizations to analyze large amounts of data in finance?
A. By making random decisionsB. By identifying patterns and trendsC. By ignoring dataD. By decreasing insightsAnswer :
Correct Answer: B. By identifying patterns and trends
Q17: How do GANs assist in financial fraud detection?
A. By identifying between honest and dishonest transactionsB. None of the aboveC. By identifying genuine transactionsD. By simulating market dataAnswer :
Correct Answer: A. By identifying between honest and dishonest transactions
Q18: What is financial text generation used for?
A. None of the aboveB. To categorize financial reports into predetermined groupsC. To decipher the tone or perspective used in social media postsD. To produce market commentary and financial reportsAnswer :
Correct Answer: D. To produce market commentary and financial reports
