LiveRamp interview questions and how to prepare

1. You are building a new feature for LiveRamp's Identity Resolution service that needs to handle billions of identity graphs daily. Describe the architecture for a distributed system that can process these updates efficiently, considering potential data inconsistencies and the need for low latency lookups. What trade-offs would you consider for consistency versus availability?

   Software EngineerSystem DesignTests: Evaluates the candidate's ability to design scalable, distributed systems and reason about trade-offs in a large-scale data processing context.

2. LiveRamp's Customer Data Platform (CDP) stores and activates customer data. Imagine a bug where a specific segment of users is incorrectly excluded from an activation campaign sent to Facebook. How would you approach debugging this issue, starting from the user report to pinpointing the root cause in the data pipeline?

   Software EngineerDebuggingTests: Assesses problem-solving skills and systematic debugging methodology in a complex data environment.

3. We use a probabilistic data structure to estimate the number of unique users in a dataset before a more expensive exact count. If a LiveRamp engineer suspects the estimation is off by a significant margin during a large data ingestion process, how would you debug the estimation logic and the underlying data to find the discrepancy?

   Software EngineerDebuggingTests: Tests the candidate's ability to debug probabilistic algorithms and large-scale data issues.

4. Write a SQL query to find the top 5 most frequent customer IDs that have been involved in identity resolutions with more than 100 other distinct customer IDs in the past 30 days, considering a table `identity_resolutions` with columns `resolution_id`, `customer_id_1`, `customer_id_2`, and `resolution_timestamp`.

   Data ScientistSQLTests: Evaluates SQL proficiency for data retrieval and aggregation on complex relationships.

5. LiveRamp enables brands to unify and activate their customer data. Imagine we are launching a new integration with a new ad platform. How would you design an A/B test to measure the incremental lift in campaign performance (e.g., conversions) driven by data activated through our platform via this new integration, compared to a baseline of no activation?

   Data ScientistExperimentationTests: Assesses understanding of experimental design, causal inference, and key metrics for evaluating data activation impact.

6. You are a Product Manager for LiveRamp's core Identity Resolution product. Our largest enterprise clients are requesting more granular control over how their first-party data is matched and resolved. How would you scope out a feature that addresses this need, considering the technical complexity, potential impact on existing resolution accuracy, and the diverse needs of different client segments?

   Product ManagerProduct StrategyTests: Evaluates strategic thinking, ability to balance diverse stakeholder needs, and technical product scoping.

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