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Explain the difference between Gradle build types and product flavors.
If you know build types are how an app is built—debug versus release—while flavors are what is shipped, like free versus paid. Variants are the Cartesian product.
Explain the difference between Kotlin's let, run, with, apply, and also
Group by this (apply, run, with) vs it (let, also), then by return type.
What do the safe call and Elvis operators do in Kotlin?
?. yields null if receiver is null; ?: provides the right operand when left is null; chain as val len = str?.length ?: 0.
Describe the architecture of a generic A/B testing framework
Hash-based user bucketing, config service, pre-registered metrics, and confidence intervals on dashboards.
Explain event schemas and why schema registries matter at scale
This tests schema evolution and data contracts in distributed systems. A good answer defines schemas as contracts, explains that a registry enforces compatibility to block breaks, and lists pain like pipeline failures. Never treat schemas as optional docs.
How would you instrument and query P95 API latency by region?
This tests white-box latency instrumentation and safe cardinality for percentile aggregation. Strong answer: emit histograms by region, query P95 with histogram_quantile or a log percentile, and keep trace IDs in logs only.
Which classical baseline model handles weekly seasonality and upward trend?
Tests matching model structure to data characteristics. Name Holt-Winters triple exponential smoothing; map its level, trend, and seasonal equations to weekly period. Red flag: jumping to SARIMA without explaining why ETS is the natural baseline.
How do you measure forecast accuracy and compare MAE to RMSE?
This tests out-of-sample validation and how MAE and RMSE weight errors. A strong answer demands a train-test split, defines both, and notes RMSE punishes outliers more while MAE is more robust. A red flag is citing in-sample fit instead of held-out error.
Trade-offs between pre-aggregated and raw event data for dashboards
Pre-aggregations trade freshness for speed; raw queries preserve flexibility but spike cost and latency under load.
Compare data warehouses and data lakes. How does a lakehouse merge benefits?
Tests schema tradeoffs. Warehouses enforce ACID for BI but cost more; lakes store raw cheaply but lack governance. Lakehouses add ACID metadata on object storage to unify ML and BI.
Propose a North Star Metric for a product you know
Definition; your product's metric; how value drives retention and revenue.
Swap Velocity for PBI Count in Sprints
Scrum.org's Story Points Detox Plan swaps velocity for PBI count charts using existing sprint data. Teams often find item counts more stable for forecasting than story points.
Agile transformations die from dishonesty, not ceremonies
Agile transformations fail when teams perform perfect ceremonies while hiding hard truths in hallways, not from missing certifications. Leadership must make bad news safe to send upward. No framework fixes a culture that rewards appearances over outcomes.
UK digital ID plan ends online anonymity for adults
UK plan forces adults to verify social media access with passports or credit cards, ending online anonymity. Engineers must now design age-gating and digital ID systems amid institutional child protection failures and record-low 30% trust in traditional media.
DHH Backs Danish Drone Startup as Europe Rearms
Two-thirds of European investors blacklisted defense stocks under ESG rules as recently as 2018, starving the continent's drone makers. Denmark just committed 50 billion kroner to rearm as Ukraine proves software-first drones win wars.
Atlassian Defines the Knowledge Architect Role
Atlassian defines the Knowledge Architect role to structure context for AI, shifting success metrics from deployment volume to workforce transformation. When AI tools struggle with complex docs, the bottleneck is staffing. Expect this role on job boards.
Claude Agent for Jira Automates Ticket-to-PR Pipeline
Claude Agent for Jira assigns tickets to Anthropic's agent, which reads criteria and returns draft PRs from a sandbox. This closes the plan-to-code gap that has capped AI gains at 10-15%. Delegate routine bugs and refactors straight from your backlog.
Jira makes AI agents assignable teammates
Jira now lists AI agents as teammates, closing the orchestration gap that wastes the 10-15% productivity lift from AI tools. Agents pick up tickets, update fields, and transition issues with audit trails. Pilot this if your backlog has repetitive triage.
Design a system architecture optimized for rapid product discovery and iteration
Tests architecting for uncertainty via evolutionary principles. Answer: modular granularity, continuous delivery, and automated fitness functions guarding security and data. Red flag: rigid upfront design ignoring orthogonal dimensions or cross-cutting harm.
Which Scrum event best diagnoses systemic failure to deliver a usable Increment?
Tests whether you distinguish process inspection from product inspection. Answer: Sprint Retrospective, because it plans quality and effectiveness improvements and adapts the Definition of Done. Red flag: naming Sprint Review or calling it a blame session.