Technology Selection & Deep Technical Knowledge Questions
Deep understanding of specific technologies relevant to complex system design. Master databases (PostgreSQL, Cassandra, DynamoDB, Elasticsearch), message queues (Kafka, RabbitMQ), caching systems (Redis), search engines, and frameworks. Understand their strengths, weaknesses, trade-offs, operational characteristics, scaling patterns, and common pitfalls. Be able to justify technology choices based on specific system requirements.
HardTechnical
0 practiced
A managed database service used by a sales-critical pilot has a high-severity CVE. As the Solutions Architect, create a risk assessment and mitigation plan that covers immediate containment, customer communication, short-term workarounds, and long-term remediation while minimizing impact to the pilot.
EasyTechnical
0 practiced
You are designing an e-commerce product catalog that must support 50M products, very high read throughput, occasional updates, and complex faceted search. Compare PostgreSQL, Cassandra, and DynamoDB for this use case and recommend one. Explain justification: data modeling, indexing, query patterns, operational concerns, and estimated cost drivers.
HardTechnical
0 practiced
Design Elasticsearch mapping and analyzer strategy for multilingual search (50 languages) with 50M documents requiring per-document term vectors, relevance tuning, and support for synonyms and diacritics. Discuss index-time vs query-time decisions and compute/memory sizing implications.
EasyTechnical
0 practiced
Explain eventual consistency using concrete examples. Describe a read-after-write scenario that can return stale data, how that might impact user experience, and at least two architectural techniques to reduce stale reads for end users.
MediumTechnical
0 practiced
Design an approach to deduplicate messages consumed from RabbitMQ where producers may retry and network blips cause duplicate deliveries. Discuss idempotent consumers, deduplication caches (TTL), and whether broker-side features can help.
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