AI - Tq topic answers
Q1) A global construction client approaches Accenture to help make their decision-making processes more transparent and understandable to their stakeholders. which type of artificial intelligence (AI) would be appropriate for Accenture to discuss with client?
1. Deep Learning AI
2. Cloud AI
3. Conversational AI
Q2) A major clothing retailer has requested help enhancing their online customer experience. How can Accenture apply Artificial Intelligence (Al) to help this client?
1. streamline the user interface based on the latest fashion trends
2. enable users to customize the website to meet their requirements
3. generate recommendations based on customers' purchase history and fashion trends
4. configure a user's device settings to enable modifications based on demographics
Q3) An Accenture Sales team is in conversations with a potential client who has expressed interest in Al solutions for their business. What should the Sales team emphasize to differentiate Accenture's Al capabilities in the marketplace?
1. a guarantee that we will deliver Al solutions more cheaply than any competitor
2. our ability to leverage Al solutions developed by outside companies
3. the ability of our Al to generate meaningful results regardless of the amount of data provided
4. our large amount of experience, industry knowledge, and proprietary assets in the Al space
Q4) An Accenture healthcare client is interested in implementing an Artificial Intelligence solution to improve patient care but, is still skeptical about the technology. What is the first step the Accenture team should take to address the client's concerns?
1. resolve any gaps in understanding the Al solution
2. assume control of the client's data collection process
3. walk the client through the principles of Responsible Al
4. carefully test for any bias in the Al solution
Q5) Which business case is better solved by Artificial Intelligence (Al) than conventional programming?
1. managing a calendar to schedule multiple patients in a single day
2. sending email notifications for overdue invoices
3. calculating interest rates for variable-interest rate loans
4. predicting characteristics of high-value customers
Q6) What is the fundamental purpose of sentiment analysis on social media?
1. to improve the ability of Al to generate and understand natural language
2. to support customers in conveying the desired emotion in their messages
3. to identify customers and direct them to other digital channels
4. to improve customer service by evaluating customer reactions in real-time
Q7) Once business strategy is defined for an Artificial Intelligence (Al) program, what should be the first component to consider when building the Al solution?
1. security policy
2. algorithms
3. programming
Q8) What is Machine Learning (ML)?
1. The process of making assumptions about existing customers to guide future business decisions.
2. The process of taking existing data and analyzing it to identify patterns and to make better predictions about new data.
4. The process of using specialized hardware resources to present patterns in situational data.
Q9) What is an example of Conversational Al?
1. a computer answering a medical patient's questions and providing health advice
2. an algorithm that reviews the effects of public policy on vulnerable communities
3. a video game adjusting its difficulty based on a player's past performance
4. a cloud server automatically uploading a citizen's personal data to a government server
Q10) How does Accenture work to build trust in Artificial Intelligence (Al)?
1. by assuming control of a client's data collection
2. by combining Al with analytics and business logic
3. by promoting explainable and responsible Al
4. by investing in differentiated intellectual property
Q11) What is the benefit of a self-learning model to Accenture clients' work?
1. It ensures an application generates accurate data.
2. It enables the design of an ideal learning environment for employees.
3. It ensures sensitive data generated by an application gets scrubbed.
4. It enables speed and scale unbeatable by a human.
Q12) What is an example of value created through the use of Deep Learning?
1. simplifying accountancy by using business rules to create an automated system.
2. replacing traditional cash registers at a retail shop with credit card payment terminals.
4. replacing cashiers at a fast food restaurant with a self-service kiosk system.
Q13) Courtney is a data scientist writing a Machine Learning algorithm using a large data set. What is produced when Courtney compiles the code?
1) a graph
3) a Bayesian network
4) a neural network
Q14) What is a benefit of applying Artificial Intelligence to Accenture's work?
2) It will reduce the amount of time Accenture people interact with clients.
3) It will redirect Accenture people's work toward administrative and data collection tasks.
4) It will replace many of the current jobs held by Accenture employees.
Q15) What is the result of successfully applying a Machine Learning (ML) algorithm to analyze data?
1) a classification chart
3) a representation
4) a regression path
Q16) How long has Artificial Intelligence (Al) existed?
2) 30 to 40 years
3) 10 to 20 years
4) less than 10 years
Q17) What can a human still do better and faster than any Machine Learning (ML) solution?
1) Transfer knowledge between domains
2) Judge the quality of any given data
3) Decide whether an email is spam
4) Understand what data represents
Q18) What is the most common language used for writing Artificial intelligence (AI) models?
2) Java
3) C
4) React
Q19) Which is the common applications of Deep Learning in Artificial Intelligence (AI)?
1) Image processing, speech recognition, and natural language processing.
2) Image processing and speech recognition
3) Language transiation and complex gameplay
4) Image processing, language translation, and complex game play
Q20) Accenture Applied Intelligence (AI) team is building a solution to help a global construction client better mange machine uptime on their build sites. The Accenture team notices that the client is facing a major culture adoption issue. Which approach will help in addressing the issue?
1) Enterprise data foundation
2) Data strategy and operating model
3) Investing in data literacy
4) Investing in data tools
Q21) What is a key differentiator for Accenture When delivering Artificial Intelligence (AI) solutions to clients?
1) Accenture’s large number of solutions enables delivery of impact at scale
2) Accenture provides unlimited services to clients post AI deployment
3) Accenture delivers AI solutions without the involvement of external vendors.
4) Accenture recommends clients handle an AI deployment themselves.
Q22) What is benefit of applying Artificial Intelligence (AI) to Accenture’s work?
1) It will allow employees more time to work on administrative and data collection tasks.
2) It will replace most jobs held by employees
3) It will allow A1 chat bots to handle client meetings instead Accenture employees
4) It will give employees more time to directly interact with clients
Q23) which describes the state of “weak” vs. “strong” Artificial intelligence in the marketplace?
1) The current state of AI offerings would be classified mostly as “weak” AI at this point.
2) AI models have surpassed human capabilities to evolve and change.
3) The marketplace will have “Strong” AI solutions ready for delivery within the next year.
4) Current AI models can adapt on their own across domains of data, without intervention.
Q24) Once business strategy is defined for an Artificial intelligence (AI) program, what should be the first component to consider when building the AI solution?
1) Programming
3) Algorithms
4) Security policy
Q25) Which type of Artificial intelligence (AI) can repeatedly perform tasks of limited scope?
1) Full AI
3) Strong AI
4) General AI
Q26) A healthcare start-up is using Artificial intelligence (AI) to analyze the way a person speaks in order to detect Alzheimer’s disease. The algorithm interprets pauses and differences in pronunciations as markers of the disease. The developers used datasets containing thousands of speech samples. What type of Machine Learning (ML) was NOT leveraged in this example?
1) Artificial General intelligence
2) Conversational AI
3) Basyesian Network
4) Deep Learning
Q27) Which situation is an enabler for the rise of Artificial Intelligence (AI) in recent years?
1) Limited computing power
2) Availability of cloud-based, hosted machine learning platforms
3) Decline in conventional programming
4) Customized machine learning algorithms
Q28) What is an example of value created created through the use of Deep Learning?
1) Simplifying accountancy by using business rules to create an automated systems.
2) Replacing cashiers at a fast food restaurant with a self-services kiosk system.
4) Replacing traditional cash registers at a retail shop with credit card payment terminals.
Q29) which Artificial Intelligence (AI) term is used to describe extracting information from unstructured text using algorithms?
1) Deep Learning
2) Natural Language Understanding (NLU)
3) Automatic Speech Recognition (ASR)
4) Natural Language Generation (NLG)
Q30) What is a benefit of applying Artificial Intelligence to Accenture’s work?
1) It will redirect Accenture people’s work toward administrative and data collection tasks.
2) It will reduce the amount of time Accenture people interact with clients.
4) It will replace many of the current jobs held by Accenture employees.
