The AI Ladder: A Framework for Deploying AI in your Enterprise Coursera Quiz Answers

All Weeks The AI Ladder: A Framework for Deploying AI in your Enterprise Coursera Quiz Answers

The AI Ladder: A Framework for Deploying AI in your Enterprise Coursera Quiz Answers

Quiz 01 : Introduction to the AI Ladder and Fundamentals of AI

Q1. Which of the following is the best definition for the business function(s) of AI?

  • AI provides businesses with enhanced means for predictions, automations, and optimizations. 
  • AI is a set of tools aimed at understanding and bringing value to an organization’s data.
  • AI improves business decisions by leveraging data.
  • AI improves customer service, business operations and IT functions.

Q2. What is the main purpose of the metaphorical “ladder” in the AI Ladder?

  • To represent that achieving AI competency is a process of several evolutionary steps
  • To represent the fact that most AI models are offered in a “ladder” format for businesses
  • To represent that achieving AI competency is like climbing to technological supremacy
  • To emphasize the fact that adopting AI is a dangerous endeavor

Q3. Which of the following is/are true about neural networks? (Select all that apply)

  • Among machine learning algorithms, they are known to perform especially well with very large amounts of data.
  • They aim to emulate how neurons function and communicate in the human brain.
  • They are most closely associated with the subfield of machine learning known as deep learning.
  • They can only be used with visual data, such as images or videos.

Quiz 02: No AI Without IA

Q1. Which of the following are advantages of holding data in a hybrid, multicloud environment? (Select all that apply)

  • Data stored in hybrid, multicloud environments can be stored and used across any cloud type (public, private, on-premises, etc.) using containers.
  • Data stored in hybrid, multicloud environments can be accessed across an organization without the need for specific hardware or on-premises connective architecture.
  • Data stored in hybrid, multicloud environments is always automatically structured such that it is ready for training in AI models with no additional processing.
  • Data stored in hybrid, multicloud environments is protected from failures, damages, or infiltration in on-premises hardware.

Q2. True or False: Only data stored with IBM platforms and software can be used to train AI models with IBM Watson.

  • True
  • False

Quiz 03: Collect Data

Q1. True or False: The Collect Data stage of the AI ladder involves only the collection of historical data (and not real-time or live-streaming data.

  • True
  • False

Q2. Which of the following are examples of data that can be collected for use in AI model building? (Select all that apply)

  • Raw text written in customers’ reviews
  • Images taken by maintenance employees
  • Website metadata pertaining to how users behave on the site
  • Audio files of recorded conversations between representatives and customers

Q3. An effective data management strategy ensures all of the following EXCEPT ___________

  • Access to a wide variety of data in AI model-building, regardless of their sources or types
  • Flexibility to support changing workloads and consumption cases
  • Access to insights across business areas and user types to drive better decision-making
  • Certainty that all of the managed data will be useful for AI model-building

Quiz 04: Organize Data

Q1. All of the following are objectives of the Organize stage of the AI Ladder EXCEPT ____________

  • To profile, cleanse, and catalog all types of data
  • To enable policy-driven visibility, detection, and reporting
  • To deploy AI models in production environments
  • To manage data with built-in protection and compliance

Q2. Which of the following statements about the Organize stage of the AI Ladder are true? (Select all that apply)

  • Data is said to be “business-ready” when it provides valuable business insights.
  • Organizing and cataloging data ensures that only permissioned users have access.
  • Data is said to be “business-ready” when it has been cleansed, processed, and meets relevant standards of compliance.

Q3. Correctly used, governance can become an enabler for businesses.

  • T​rue
  • F​alse

Quiz 05: Analyze Data

Q1. Which of the following capabilities is NOT part of the AI life cycle described in the Analyze phase?

  • To build models that can be used for prediction
  • To put AI models into production within an application or a business process
  • To manage the production environment to track who changed the mode, when the model was deployed, and the lineage on the model
  • To profile and cleanse all the available data

Q2. An AI model is generally referred to as “transparent” if _______. (Select all that apply)

  • The time it takes to train the model is known before it is built.
  • The decision that the AI model makes or recommends is a binary “Yes” or “No.”
  • The steps taken by an AI model in arriving at a decision or recommendation can be explained by human analysts.
  • All the data the model uses in making a decision or recommendation is identifiable and retrievable.

Quiz 06: Infuse AI

Q1. Which of the following would fall under the Infuse stage of the AI Ladder? (Hint: read the answer selections closely)

  • How organizations operationalize AI throughout their businesses
  • How organizations deploy their AI models across their different business lines
  • How organizations develop their employees’ skills in Data Science
  • How organizations promote the importance of AI throughout their different business areas
  • All the above

Q2. True or False: The Infuse step of the AI Ladder focuses on operationalizing AI across a company’s departments and areas, as opposed to the actual building of AI models

  • True
  • False

Q3. The Infuse step of the AI Ladder includes all of the following EXCEPT _________

  • Training workers to use AI models in conjunction with their existing workflows
  • Continuously seeking new areas where existing AI models—or new ones that could be built–can bring value to a companies
  • Replacing humans altogether in strategic decision-making
  • Operationalizing AI across multiple departments and business areas

Quiz 07: Introduction to AI and the AI Ladder

Q1. Which of these statements is True about AI?

  • The primary application for AI is replacing low skilled employees and improving overall productivity.
  • AI only focuses on improving leaders’ decisions making.
  • AI mainly focuses on improving human decisions by predicting the future evolution of the business.
  • AI is a tool for improving human decision making, at speed and scale.

Q2. What are the four rungs of the AI Ladder?

  • Collect > Organize > Visualize > Infuse
  • Collect > Analyze > Scale > Infuse
  • Collect > Organize > Analyze > Infuse
  • Organize > Visualize > Analyze > Deploy

Q3. What are some ways AI can improve business outcomes?

  • Forecast what is going to happen in the business, at both the macro and micro level
  • Automating critical, yet time-consuming, business processes that are often done manually, so employees are free to focus on higher-value, more creative work
  • Optimizing routing and logistics, marketing spends, or the configuration of the cloud installation
  • All of the above

Q4. Which of the following is/are example(s) of challenges that companies face while adopting AI?

  • Getting handle on their data.
  • Lack of relevant skills.
  • Culture and business model change.
  • All of the above.

Q5. In the phrase “No AI without IA,” IA stands for _

  • IBM Analytics
  • Information Architecture
  • Intelligent Applications
  • Information Amplification

Q6. How is the term “Modernize” defined in the context of AI adoption?

  • Investing in a state-of-the-art data center that provides flexibility and efficiency to data management
  • Modernizing IT by updating their technology to recent open source technologies
  • Building an information architecture for AI that provides choice and flexibility across the organization
  • Automating the generation of data insights

Q7. What is the main purpose of the Collect phase of the AI ladder?

  • Accessing all the available data regardless of their sources or types and giving access to insight across the entire organization
  • Reorganizing the data of the organization to prevent future information loss
  • Identifying new data sources that could be useful and incorporating them in the data lake
  • Easing the access to data for the data scientists

Q8. Which of the following represents the correct order of the data organization process described in the AI Ladder?

  • Address Data Quality > Organize and Catalog Data > Govern Data
  • Govern Data > Address Data Quality > Organize and Catalog Data
  • Govern Data > Organize and Catalog Data > Address Data Quality
  • Organize and Catalog Data > Address Data Quality > Govern Data

Q9. Which of the following are ways companies can organize their data into trusted, business-ready analytics foundations?

  • By focusing on data preparation and quality
  • By storing and governing information within a data lake
  • By ensuring data privacy and regulatory compliance
  • All of the above

Q10. True or False. The Analyze rung of the AI Ladder involves using data for analytics and insights to drive decision-making, but not AI model-building

  • True
  • False

Q11. What is the main objective of model management in the Analyze stage of the AI Ladder?

  • To ensure that a model is transparent and free of bias while monitoring its performance
  • To identify other business applications where the model could be deployed
  • To ensure that the model is being used
  • To ensure the model brings value to the business

Q12. True or False. The ultimate goal of the Infuse step in the AI Ladder is to replace a company’s existing decision-making processes with automated systems

  • True
  • False

Q13. Which of the following are ways that AI is transforming core business domains?

  • Increasing customer satisfaction and reducing agent attrition, while cutting costs and allowing agents to focus on higher value transactions
  • Keeping pace with regulatory requirements and managing risk.
  • Changing the way clients think about supply chain management and logistics.
  • All of the above.

Q14. Which of the following statements about model management are true? (Select all that apply)

  • Organizations need to manage their AI across the entire AI life cycle in order to explain either to a consumer or another business how their systems came to a decision and why.
  • Businesses need to trust their AI before they fully scale and automate across their organization.
  • Model transparency is mostly important for insurance companies and financial institutions.

Q15. Which of the following statements is/are TRUE about hybrid, multicloud platforms? (Select all that apply)

  • Hybrid, multicloud platforms will imply more “assembly required” in expanding the impact of AI across the organization.
  • Hybrid, multicloud platforms facilitate the automation of AI life cycles across an array of contributors through collaborative workflows.
  • Hybrid, multicloud platforms allow organizations to take advantage of their data and applications across any cloud (public, private, on-premises) via containers.
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