Today, in this article we are going to share about Accenture's Artificial intelligence Technology Quotient Multiple Choice Questions and Answers | Artificial intelligence Technology Quotient objective type questions and answers.
1. A client has gathered a very large amount of operational data but struggles with how to apply Artificial Intelligence (AI) to address its critical business problems. What advice should the Accenture team give the client?
a) form a consistent strategy for organizing data at an enterprise-wide level
b) limit data training to employees in highly technical job roles
c) finalize Al algorithms then assess the data they have gathered
d) allow each sub-organization within the company to set its own data strategy
e) I don't know this yet.
Answer: D
2. Which statement is true regarding Artificial Intelligence (Al)?
A) Al can exist without humans supporting it.
B) Data is the fundamental reason Al succeeds or fails.
C) Strong Al and Weak Al are equally well developed at this time.
D) Al will eventually eliminate most human jobs.
E) I don't know this yet.
Answer: D
3. In which situation would Accenture apply principles of Responsible Artificial Intelligence (AI)?
A) ensuring that a new public works project does not harm vulnerable communities
B) setting credit card balance limits based on a user's past financial records
C) suggesting the next video to play on a media site based on a user's viewing history
D) predicting the failure rate of a machine used in the manufacturing of consumer electronics
E) I don't know this yet.
Answer: D
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4. Once business strategy is defined for an Artificial Intelligence (AI) program, what should be the first component to consider when building the Al solution?
A) dataset
B) security policy
C) programming
D) algorithms
E) I don't know this yet.
Answer: A
5. Which business case is better solved by Artificial Intelligence (AI) than conventional programming?
A) sending email notifications for overdue invoices
B) managing a calendar to schedule multiple patients in a single day
C) predicting characteristics of high-value customers
D) calculating interest rates for variable-interest rate loans
E) I don't know this yet.
Answer: C
6. A data scientist is writing a Machine Learning (ML) algorithm using a large data set. What is produced when the data scientist compiles the code?
A) a graph
B) a Bayesian network
C) a model
D) a neural network
E) I don't know this yet.
Answer: C
7. What is a major benefit of working with a ready-to-use cloud-based Artificial Intelligence (AI) vendor service?
A) dedicated infrastructure
B) decreased computing power
C) increased security
D) decreased barrier to entry
E) I don't know this yet.
Answer: D
8. Cloud-based services can open doors to leveraging Artificial Intelligence (AI)without dramatically increasing risk. Which client is best suited for these kind of opportunities?
A) a client that handles highly sensitive data and seeking to maximize security
B) a company with strict rules for levels of data access among its employees
C) a small or medium business that lacks substantial on-site computing resources
D) a large company with expansive on-site computing infrastructure and hosting servers
E) I don't know this yet.
Answer: C
9. What is an example of Conversational Al?
A) a computer answering a medical patient's questions and providing health advice
B) an algorithm that reviews the effects of public policy on vulnerable communities
C) a video game adjusting its difficulty based on a player's past performance
D) a cloud server automatically uploading a citizen's personal data to a government server
E) I don't know this yet.
Answer: A
10. What is one way that Accenture helps clients ensure fairness when applying Artificial Intelligence (AI) solutions?
A) by providing ready-to-use toolkits to help clients avoid bias
B) by allowing Al solutions to function independently from humans
C) by encouraging clients to collect as much data as possible
D) by helping clients to avoid monetizing their data
E) I don't know this yet.
Answer: A
11. Which case would benefit from Explainable Artificial Intelligence (AI) principles?
A) a doctor depending on an Al-based system to make a diagnosis
B) a navigation platform suggesting fastest routes
C) a social media platform identifies faces from a picture
D) a music streaming platform recommending a song
E) I don't know this yet.
Answer: A
12. What is the fundamental purpose of sentiment analysis on social media?
A) to support customers in conveying the desired emotion in their messages
B) to identify customers and direct them to other digital channels
C) to improve the ability of Artificial Intelligence (AI) to generate and understand natural language
D) to improve customer service by evaluating customer reactions in real-time
E)I don't know this yet.
Answer: D
13. An Accenture Sales team is in conversations with a potential client who has expressed interest in Artificial Intelligence (AI) solutions for their business. What should the Sales team emphasize to differentiate Accenture's Al capabilities in the marketplace?
A) our ability to leverage Al solutions developed by outside companies
B) the ability of our Al to generate meaningful results regardless of the amount of data provided
C) our large amount of experience, industry knowledge, and proprietary assets in the Al space
D) a guarantee that we will deliver Al solutions more cheaply than any competitor
E) I don't know this yet.
Answer: C
14. Accenture has partnered with a global construction company that specializes in building skyscrapers. The company wants better machine-uptime management on their build sites. They would also like to improve worksite safety. Accenture is designing an Artificial Intelligence (AI) solution to address this scenario. What type of data should be used in the solution?
A) personal demographic details of the company's employees
B) the company's accounting records from the past several fiscal years
C) data on raw materials used in building
D) past maintenance and performance records and worksite conditions
E) I don't know this yet.
Answer: D