COURSE 9: GENERATIVE AI: ELEVATE YOUR SOFTWARE DEVELOPMENT CAREER

Module 3: Final Project and Final Exam

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INTRODUCTION – Final Project and Final Exam

In this module, you will undertake a final project that offers you the chance to showcase your expertise in creating personalized learning experiences for developers. This project will enable you to apply the knowledge and skills you have acquired throughout the course, demonstrating your proficiency in tailoring learning solutions to meet the unique needs of developers.

Following the completion of the project, you will face a final exam designed to test your understanding of the course content comprehensively. The exam will cover essential concepts and their practical applications, ensuring that you have a solid grasp of the material and are capable of effectively implementing what you have learned.

FINAL EXAM: GENERATIVE AI FOR SOFTWARE DEVELOPERS

1. What challenge is faced when integrating AI into an established CI toolchain?

  • None of the above 
  • Difficulty in transitioning from traditional CI to AI-driven CI 
  • Data privacy and security
  • Achieving seamless integration (CORRECT)

Correct: Correct! To achieve seamless integration, organizations need to ensure that the AI capabilities can seamlessly work alongside the existing CI components and workflows.

2. Which company utilizes machine learning for autonomous adjustments in various services?

  • Gmail (CORRECT)
  • IBM 
  • Juniper Networks 
  • Balbix Security Cloud

Correct: Correct! Gmail utilizes machine learning for autonomous adjustments in various services.

3. Which tool utilizes GPT to analyze HTTP requests and responses for detecting vulnerabilities?

  • BurpGPT (CORRECT)
  • Symantec Endpoint Security
  • Sophos Intercept X
  • Splunk User Behavior Analytics

Correct: Correct! BurpGPT is a tool that utilizes GPT (Generative Pre-trained Transformer) to analyze HTTP requests and responses to detect vulnerabilities.

4. What is one major challenge associated with using generative AI in software development?

  • The guarantee of privacy and security. 
  • The lack of creativity and exploration opportunities. 
  • The potential for bias and inaccuracy in generated outputs. (CORRECT) 
  • The absence of ethical implications.

Correct: Correct! One major challenge associated with generative AI in software development is the potential for bias and inaccuracy in the generated outputs.

5. Which of these are examples of successful AI-driven apps?

  • Netflix and Hulu 
  • Siri and Alexa (CORRECT)
  • TikTok and Instagram
  • Facebook and Twitter

Correct: Correct! Both Siri and Alexa utilize artificial intelligence technologies to understand and respond to user queries, making them examples of successful AI-driven apps.

6. What is one concern associated with generative AI models in software development?

  • The need for extensive training data 
  • The potential for spreading false information (CORRECT)
  • The ability to create synthetic vocal recordings
  • The requirement to obtain informed consent from users

Correct: Correct! Generative AI models can be programmed to generate text or content that resembles human-generated content.

7. Which of the following is a technique AI-powered code review tools used to analyze source code without executing it and identify potential issues such as coding style violations, unused variables, or memory leaks?

  • Automated log analysis
  • Predictive debugging 
  • Static analysis (CORRECT)
  • Bug detection

Correct: Correct! Static analysis is a technique AI-powered code review tools used to analyze source code without executing it.

8. What is one of the key capabilities of Large Language Models (LLMs) in software development?

  • Code generation and auto-completion (CORRECT)
  • Social media analysis 
  • Image recognition
  • Hardware optimization

Correct: Correct! LLMs assist programmers by generating code, analyzing existing codebases, and suggesting code completions, reducing manual effort in coding.

9. Which of the following AI-driven approaches involves applying AI techniques for code refactoring?

  • Code analysis 
  • Code automation
  • Anomaly detection 
  • Design pattern analysis (CORRECT)

Correct: Correct! This approach involves various AI-driven techniques, including code refactoring, design pattern analysis, architectural trade-off insights, code completion, and bug detection.

10. What feature of AI web builders helps in swiftly creating professional logos.

  • AI website generator 
  • Additional SEO measures 
  • A text generator 
  • AI logo maker (CORRECT)

Correct: Correct! The AI logo maker is a feature of AI web builders that helps swiftly craft professional logos.

11. How does AI contribute to email security, particularly in filtering spam?

  • Machine learning and AI algorithms (CORRECT)
  • Manually reviewing each email 
  • Avoiding the use of spam filters 
  • ignoring potentially harmful content

Correct: Correct! Through machine learning algorithms, AI helps recognize email patterns and filter out potentially harmful or unwanted content.

12. How can ethical concerns related to NLP technology be addressed?

  • By introducing bias intentionally
  • By avoiding transparency in algorithm
  • By ignoring privacy concern
  • By ensuring diversity in training data (CORRECT)

Correct: Correct! Ensuring diversity in training data is one of the ways to address ethical concerns related to NLP technology.

13. Which of the following statements about the use of AI in software testing is true?

  • AI techniques are limited to automating test case generation. 
  • AI algorithms only improve test data generation. 
  • AI analysis cannot help prioritize test cases based on software quality.
  • AI-based techniques enable intelligent test generation and execution of test cases along with other capabilities. (CORRECT)

Correct: Correct! AI-based techniques can generate and execute intelligent test cases, which can greatly enhance the efficiency and effectiveness of software testing.

14. Which of the following is a technique used by AI-powered code review tools?

  • Social media analysis
  • Static analysis (CORRECT)
  • Automated log analysis
  • Code pattern analysis

Correct: Correct! Static analysis is used as a technique to review AI-powered code.

15. Which of the following is a role played by AI in CI/CD?

  • Bias detection 
  • Automated Testing and Quality Assurance (CORRECT)
  • Manual Code Review
  • Predictive debugging

Correct: Correct! Generative AI is used for automated testing and quality assurance in CI/CD.

16. What are some challenges associated with using generative AI in software development?

  • Limited creativity and exploration options 
  • Lack of intellectual property protection
  • Potential for bias and inaccuracy in generated outputs (CORRECT)
  • Low computational power required for training generative AI models

Correct: Correct! Using generative AI in software development has the potential for bias and inaccuracy in the generated outputs.

17. Which of the following is mentioned as an ethical consideration for using generative AI in software development?

  • Code automation
  • Test case generation
  • Bias and Discrimination (CORRECT)
  • Speed and efficiency

Correct: Correct! Bias and discrimination are considered as ethical considerations for generative AI in software development.

18. Which of the following is an example of a generative AI model that excels in language translation tasks?

  • Variational autoencoders (VAEs) 
  • Generative adversarial networks (GANs) 
  • Transformers (CORRECT)
  • Reinforcement learning algorithms

Correct: Correct! Transformers are an example of a generative AI model that excels in language translation tasks.

19. What is one of the challenges associated with the ethical usage of Large Language Models in software development

  • Bias detection (CORRECT)
  • Code optimization 
  • Speed of code generation 
  • Hardware limitations

Correct: Correct! LLMs inherit training data biases, and detecting and mitigating these biases is crucial to prevent unfair outcomes in software development.

20. How does AI assists in implementing design patterns in software systems?

  • Automating client chat services 
  • Analyzing code for design patterns (CORRECT)
  • Analyzing code for architectural patterns 
  • Generating high-level architecture

Correct: Correct! Machine learning algorithms can analyze the code and pick patterns that match specific design patterns, ensuring consistency and high quality in software systems.

CONCLUSION – Final Project and Final Exam

In conclusion, this module provides a valuable opportunity to solidify your learning and demonstrate your proficiency in creating personalized learning experiences for developers through a final project. This hands-on project will allow you to apply the comprehensive knowledge and skills you have gained throughout the course.

Following the project, the final exam will rigorously test your understanding of key concepts and their practical applications, ensuring you are well-prepared to implement these principles in real-world scenarios. By successfully completing both the project and the exam, you will have a strong foundation in personalized learning development and a deep understanding of the course material.

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