Software Engineer - Apple Watch

Apple

Let's explore dynamic programming with a classic problem: the knapsack problem. Imagine you have a knapsack with a limited weight capacity, and a collection of items, each with its own weight and value. Your goal is to select the items to put into the knapsack to maximize the total value, without exceeding the weight capacity. Specifically: Problem Statement: You are given a knapsack with a maximum weight capacity W. You are also given n items. Each item i has a weight wi and a value vi. Determine the maximum total value of items that can be placed in the knapsack without exceeding its weight capacity. Example: Knapsack capacity W = 10 Items: Item 1: weight = 6, value = 30 Item 2: weight = 3, value = 14 Item 3: weight = 4, value = 16 Item 4: weight = 2, value = 9 What is the maximum value you can obtain by putting items into the knapsack, and which items should you choose? Explain how you would approach this problem using dynamic programming. Be sure to define the subproblems, the recurrence relation, and the base cases. Also, discuss the time and space complexity of your dynamic programming solution.

Apple

Let's design a system for URL shortening, like TinyURL. Assume a large-scale service. Please consider the following aspects in your design: Functional Requirements: The system should generate shorter URLs (a.k.a. short links) given longer URLs. Users should be able to navigate to the original URL by entering the short link in their browser. The system should be highly available. Non-Functional Requirements: The system should have low latency for both URL shortening and redirection. Short links should be relatively short (e.g., 6-8 characters). The system should be able to handle a large number of URL shortening and redirection requests. Capacity Estimation: Assume 100 million URLs are shortened per day. Assume 1 billion URL redirections per day. Estimate storage requirements for 5 years. Design Considerations: How would you generate unique short links? What data structures and databases would you use to store the URL mappings? How would you handle collisions when generating short links? How would you optimize for low latency redirection? How would you scale the system to handle the expected traffic? Walk me through your design, explaining your choices and the trade-offs you considered. Provide diagrams where necessary to illustrate the architecture.

Apple

Let's explore the concept of feedback amplifiers in the context of software development teams. Imagine you are leading a team working on a critical feature for a new mobile application. Communication bottlenecks and misunderstandings are starting to impact the team's velocity and morale. As a senior engineer, you recognize the need to amplify feedback loops to improve team performance. Describe what a feedback amplifier is and how it works in practice.** Provide concrete examples of how you would implement feedback amplifiers within your team. Consider different types of feedback, such as code reviews, sprint retrospectives, and individual performance reviews. Explain the benefits of using feedback amplifiers.** How can they improve code quality, reduce bugs, and increase team collaboration? Quantify the potential impact using hypothetical scenarios or past experiences. For instance, how might more frequent code reviews, coupled with automated static analysis, lead to a measurable reduction in the number of bugs discovered in production? Discuss the potential challenges and pitfalls of implementing feedback amplifiers.** What steps would you take to mitigate these risks? Think about issues like information overload, negative feedback bias, and the time investment required to implement and maintain effective feedback loops. How would you ensure that the feedback process remains constructive, fair, and actionable for all team members? Elaborate on your answer by considering specific tools or techniques you have used in the past to amplify feedback, such as using dashboards to visualize key performance indicators, conducting regular pulse surveys to gauge team sentiment, or establishing a system for tracking and resolving action items from retrospective meetings. Also, discuss how you would tailor your approach based on the size and structure of the team, as well as the specific project goals and constraints.