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| ### 1. Site Reliability Engineering (SRE) | |
| - **Description**: Site Reliability Engineering (SRE) is a software engineering discipline focused on maintaining the reliability, performance, and efficiency of large-scale systems. | |
| - **Example Question**: "Explain the differences between SRE and DevOps. In which situations would the importance of SRE practices increase?" | |
| - **Real-World Example**: "How would you implement SRE practices in a large e-commerce platform? What challenges might arise during this process?" | |
| - **Application Suggestion**: "How would you integrate SRE principles into the system design of a web application?" | |
| ### 2. Machine Learning Algorithms | |
| - **Description**: Machine learning algorithms are mathematical and statistical methods used to make predictions by learning from data. | |
| - **Example Question**: "Explain the differences between logistic regression and linear regression. In which type of data would you prefer one over the other?" | |
| - **Real-World Example**: "Which machine learning algorithm would you choose for predicting credit risk in a bank? Why?" | |
| - **Application Suggestion**: "How do you prevent overfitting when training a machine learning model?" | |
| ### 3. Neural Networks | |
| - **Description**: Neural networks work by mimicking the way the human brain operates, to classify, recognize, and predict data. | |
| - **Example Question**: "How would you optimize the connections and weights between layers in a neural network model?" | |
| - **Real-World Example**: "Discuss the role of neural networks in facial recognition applications, and what challenges may arise during model training." | |
| - **Application Suggestion**: "How would you create a dataset for recognizing handwritten digits using a neural network, and how would the training process work?" | |
| ### 4. Natural Language Processing (NLP) | |
| - **Description**: Natural Language Processing is the technology and techniques used to help computers understand, interpret, and produce human language. | |
| - **Example Question**: "Explain the differences between Bag of Words and TF-IDF. In which scenario would you prefer one over the other?" | |
| - **Real-World Example**: "What NLP techniques would you use to design a customer support chatbot? Discuss the possible obstacles." | |
| - **Application Suggestion**: "What steps would you take to classify a text for sentiment analysis using NLP techniques?" | |
| ### 5. Cloud Computing | |
| - **Description**: Cloud computing is the model of delivering data storage, computing power, and software services over the internet. | |
| - **Example Question**: "Discuss the advantages and disadvantages of moving a company’s data to the cloud." | |
| - **Real-World Example**: "When selecting appropriate cloud services for a startup, what factors should you consider?" | |
| - **Application Suggestion**: "How would you design a cloud infrastructure to ensure scalability and performance monitoring?" | |
| ### 6. Data Privacy and Security | |
| - **Description**: Data privacy and security involve policies and practices to protect personal and sensitive data from unauthorized access and breaches. | |
| - **Example Question**: "Explain the differences between GDPR and CCPA, and discuss the consequences of violating either of these laws." | |
| - **Real-World Example**: "What measures would you take to ensure data security in a company? How would these measures help prevent cyberattacks?" | |
| - **Application Suggestion**: "Explain encryption methods and discuss when to use symmetric vs. asymmetric encryption." | |
| ### 7. Agile Methodology | |
| - **Description**: Agile methodology is a set of principles for software development that promotes flexibility, speed, and iterative progress. | |
| - **Example Question**: "Explain the differences between Scrum and Kanban in Agile. In which type of projects would you prefer one over the other?" | |
| - **Real-World Example**: "Describe a plan for implementing Agile practices in a software development project." | |
| - **Application Suggestion**: "How would you approach sprint planning in a software development team? What metrics would you track at the end of each sprint?" | |
| ### 8. Blockchain Technology | |
| - **Description**: Blockchain is a distributed ledger technology that allows for secure, transparent, and tamper-proof data storage and transactions. | |
| - **Example Question**: "Discuss the advantages of blockchain’s decentralized nature. In what situations would blockchain technology not be suitable?" | |
| - **Real-World Example**: "How would you integrate blockchain technology into supply chain management? What potential challenges could arise?" | |
| - **Application Suggestion**: "Discuss the advantages and potential disadvantages of using blockchain in a digital payment system." | |
| ### 9. Internet of Things (IoT) | |
| - **Description**: The Internet of Things (IoT) refers to the network of physical devices connected via the internet that can collect and exchange data. | |
| - **Example Question**: "How would you enhance security in IoT devices? Discuss the role of data encryption and authentication." | |
| - **Real-World Example**: "Explain the integration of IoT devices in a smart home system. What types of data are collected and how is it processed?" | |
| - **Application Suggestion**: "How would you ensure low power consumption when designing an IoT device?" | |
| ### 10. Big Data | |
| - **Description**: Big Data refers to vast, complex, and rapidly growing datasets. Analyzing this data is crucial for gaining meaningful insights. | |
| - **Example Question**: "Explain the differences between Big Data and data analytics. What tools would you use to process Big Data?" | |
| - **Real-World Example**: "Discuss how you would apply Big Data analytics to healthcare data for disease prediction." | |
| - **Application Suggestion**: "Plan a strategy for data storage and processing in a Big Data project." | |
| 1. Explain the importance of site reliability engineering (SRE) in the context of keeping services available, using the Gmail example provided. | |
| 2. Discuss the philosophical background of site reliability engineering, especially the emphasis on reliability and its prioritization over features. | |
| 3. Given the example of Gmail's features and reliability, how would you prioritize reliability over features in a new web service you’re developing? | |
| 4. What strategies could be employed to ensure the reliability of a service like Gmail, especially if its features were stripped down to a basic version? | |
| 5. Discuss the trade-off between offering advanced features and ensuring a system's reliability. Which one would you prioritize for a new product, and why? | |
| 6. Why is reliability in software sometimes taken for granted, and how can teams prevent that from happening in the context of SRE? | |