Cloud Solution Engineer (m/f/d) German Speaker

Oracle

Given an unsorted array of integers, find the length of the longest increasing subsequence. For example: Input:** [10, 9, 2, 5, 3, 7, 101, 18] Output:** 4 Explanation:** The longest increasing subsequence is [2, 3, 7, 101], therefore the length is 4. Another example: Input:** [0, 1, 0, 3, 2, 3] Output:** 4 Explanation:** One longest increasing subsequence is [0, 1, 2, 3]. Constraints: The array can contain duplicate numbers. The numbers are not necessarily positive. They can be negative or zero. Your solution should be as efficient as possible. Could you describe your approach and implement the solution? Consider the time and space complexity of your solution. In the first example, [10, 9, 2, 5, 3, 7, 101, 18], a longest increasing subsequence is [2, 3, 7, 18]. Note that subsequences are not required to be contiguous. Another longest increasing subsequence is [2, 5, 7, 101]. It is important to understand what increasing means. The numbers must be strictly increasing (e.g., 2, 3, 7 is increasing, but 2, 2, 7 is not). Another important point to note is that there may be multiple longest increasing subsequences, but your function should return the length of such a subsequence, not the subsequence itself.

Oracle

Let's design a system for deleting all user data in a large-scale application. Consider the following requirements: Compliance: The system must adhere to data privacy regulations (e.g., GDPR, CCPA) regarding the right to be forgotten. This means all personal data must be permanently and irrevocably deleted. Data Scope: User data is distributed across various databases (e.g., relational, NoSQL), object storage, and potentially third-party services. Examples include: User profiles in a relational database (name, email, address). User-generated content (photos, videos) in object storage. User activity logs in a NoSQL database. User data cached in a Redis cluster. User accounts on integrated third-party services (e.g., payment processors, social media platforms). Performance: The deletion process should be efficient and not significantly impact the performance of other system operations. Consider the impact on databases and other services during peak hours. Consistency: The system must ensure data consistency. For example, if a user has dependencies on other data (e.g., a user is an administrator of a group), these dependencies must be handled correctly (e.g., reassigning ownership, deleting dependent data). Auditability: All deletion requests and actions must be logged for auditing and compliance purposes. The logs should record who requested the deletion, when it was requested, what data was deleted, and the outcome of the deletion process. Error Handling: The system should gracefully handle errors and retries. If a deletion fails in one component, it should be retried or rolled back appropriately, and alerts should be generated. Scalability: The system must be able to handle a large number of deletion requests concurrently. Data Minimization: Before initiating the deletion process, verify if data minimization techniques can be applied instead of complete deletion, such as anonymization or pseudonymization, especially for datasets needed for analytical purposes. Given these requirements, how would you design a system to handle user data deletion requests? Discuss the architecture, components, data flow, and any trade-offs you would consider.

Oracle

Okay, let's imagine we're at a career fair, and you have about two minutes to introduce yourself to a recruiter. Keeping that timeframe in mind, could you provide a concise overview of your background, skills, and career aspirations? Think of it as your elevator pitch. For example, you might highlight your key accomplishments from previous roles, discuss your proficiency in specific programming languages or technologies relevant to the target position, and briefly touch upon your career goals and what you're hoping to achieve in your next role. What makes you a great candidate?