Electrical Engineer Intern, Mixed Reality (BS/Masters)

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Implement a SnapshotArray that supports the following interface: SnapshotArray(int length) initializes an array-like data structure with the given length. Initially, each element equals 0. void set(index, val) sets the element at the given index to be equal to val. int snap() takes a snapshot of the array and returns the snap_id: the total number of times we called snap() minus 1. int get(index, snap_id) returns the value at the given index, at the time we took the snapshot with the given snap_id For example: Input: [SnapshotArray,set,snap,set,get] [[3],[0,5],[],[0,6],[0,0]] Output: [null,null,0,null,5] Explanation: SnapshotArray snapshotArr = new SnapshotArray(3); // set the length to be 3 snapshotArr.set(0,5); // Set array[0] = 5 snapshotArr.snap(); // Take a snapshot, return snap_id = 0 snapshotArr.set(0,6); snapshotArr.get(0,0); // Get the value of array[0] with snap_id = 0, return 5 What data structures and algorithms are best suited for this problem? What are the time and space complexities of each operation?

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Design a System for Real-Time Twitter Trending Topics Let's design a system to identify trending topics on Twitter in real-time. Consider the following: Data Ingestion: How would you ingest the massive stream of tweets from Twitter? Processing: How would you process the tweets to extract relevant information (e.g., hashtags, keywords)? Trending Detection: How would you identify trending topics based on the processed data? What algorithms or techniques would you use? Scalability: How would you design the system to handle a large volume of tweets and users? Storage: What storage solutions would you use to store the tweets and trending topics? Consider both short-term and long-term storage. Network Requirements: Estimate the network bandwidth required for data ingestion and processing. Performance Optimization: How would you optimize the system for low latency and high throughput? For example, assume that Twitter generates 500 million tweets per day. Design a system that can identify trending topics within a few minutes, considering the computational resources, storage, and network bandwidth needed.

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Tell me about your best project. To provide a comprehensive overview, please address the following points: Project Overview: What was the project's purpose and goals? What problem did it solve or what opportunity did it address? Who was the target audience or end-user? Your Role and Responsibilities: Describe your specific role within the project team. What were your key responsibilities and contributions? Did you lead any specific aspects of the project? If so, elaborate. Technical Details: What technologies, languages, and frameworks did you use? Describe the architecture and design of the system. Were there any interesting or challenging technical aspects? Challenges and Solutions: What were the major challenges you faced during the project? How did you overcome these challenges? Be specific about the solutions you implemented. Did you have to make any trade-offs or compromises? Explain why. Outcomes and Impact: What were the measurable outcomes of the project? How did the project impact the organization or its users? Did the project achieve its intended goals? Lessons Learned: What did you learn from this project? What would you do differently if you were to undertake a similar project again? How has this project influenced your approach to software development? For example, if you developed an e-commerce platform, you might discuss how you implemented a scalable microservices architecture to handle high traffic, or how you used machine learning to personalize product recommendations. Be prepared to discuss technical details, challenges you faced, and the impact your project had on the users or the business. Focus on projects where you played a significant role and can demonstrate your technical skills and problem-solving abilities.