Game Github Codpiot

In software development, what does BDD stand for?

• Business Data Development.
• Behavior-Driven Development.
• Basic Design Document.
• Binary Data Definition.

Which of the following is a challenge often faced in manual testing?

• Fast execution.
• Lack of standardization.
• High accuracy.
• Easy CI/CD integration.

One of the benefits of BDD is

• More complex test cases.
• Less communication among team members.
• Easy to communicate.
• Increased misunderstanding.

Which statement best describes the reusability of test assets in Manual Testing versus Automation testing (BDD)?

• Test cases in manual testing can be easily reused in automation.
• Both methods offer the same level of reusability.
• Test scripts in automation (BDD) can be reused and modified, while manual test cases need to be executed manually each time.
• Reusability is not a relevant factor in either testing method.

A significant drawback of manual testing in the long run is

• Infrequent errors.
• Efficient resource utilization.
• Time-consuming Execution.
• Comprehensive documentation.

Should you fully trust the code generated by GitHub Copilot?

• Yes, because Copilot always generates accurate code.
• No, you need to review and evaluate the code before using it.
• Only for simple code snippets.
• Only when using Copilot Chat.

What is an important tip when creating prompts for GitHub Copilot?

• Always write the shortest prompt possible.
• Avoid providing sample examples in the prompt.
• Break down complex tasks into smaller steps.
• Write prompts in natural language instead of code.

What is the main purpose of the RAG architecture in machine learning?

• To store large amounts of data efficiently
• To enhance the process of content generation by retrieving relevant information
• To reduce the number of parameters in a neural network
• To improve the efficiency of data sorting algorithms

What are the two main components of the RAG architecture?

• Encoder and Decoder
• Retriever and Generator
• Classifier and Retriever
• Generator and Optimizer

In RAG architecture, what role does the 'Retriever' play?

• It decodes the input data into an output format
• It generates new content based on the given input
• It selects relevant documents or passages to provide context to the Generator
• It trains the model by adjusting its weights and biases