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If staging has smaller data sets, fewer server instances, or a different network path than production, the observed latency\u002Fthroughput numbers may not transfer to prod, even if the test itself passed cleanly.",{"id":146,"topic":9,"difficulty":129,"body":147,"options":148,"correct_key":136,"explanation":157},"019ff6e3-961e-74e5-a18f-835db2e5d5dc","A performance test is run against a database table containing only 500 rows, while the production table has 50 million rows. What is the main risk of this setup?",[149,151,153,155],{"key":133,"text":150},"The test results will be identical either way, because row count never affects query planning or performance in any database engine",{"key":136,"text":152},"Query plans and index behavior can differ sharply at small scale, so results won't reflect production",{"key":139,"text":154},"The database will refuse to run queries on tables smaller than the production size",{"key":142,"text":156},"Small tables always cause artificially high latency compared to large tables","With only 500 rows, the query optimizer may choose a full scan that is fast regardless of missing indexes, or an index that would behave differently under 50M rows (e.g. more page reads, different join strategy). Data volume fidelity is critical for realistic performance results.",{"id":159,"topic":9,"difficulty":129,"body":160,"options":161,"correct_key":142,"explanation":170},"019ff6e3-961f-7078-a27b-425a399e5ce3","What does 'environment fidelity' mean in the context of performance test design?",[162,164,166,168],{"key":133,"text":163},"How well the test script covers all functional user flows of the application",{"key":136,"text":165},"How many virtual users a load testing tool can simulate simultaneously",{"key":139,"text":167},"Whether the test environment happens to have the exact same source code branch deployed as the current production release",{"key":142,"text":169},"How closely the test environment matches production in terms of scale, data, topology, and configuration","Environment fidelity specifically refers to how representative the test environment is of production characteristics (hardware scale, data volume, network topology, caching layers, configuration) — not code coverage or code branch matching.",{"id":172,"topic":9,"difficulty":173,"body":174,"options":175,"correct_key":133,"explanation":184},"019ff6e3-9621-70da-8cd2-a4ff5b91cc8b",2,"A team runs its load test against a single-node test environment, while production runs behind a load balancer with 6 application nodes. What is the most likely consequence?",[176,178,180,182],{"key":133,"text":177},"The single node may bottleneck at a much lower load than production could handle, underestimating capacity",{"key":136,"text":179},"The results will be exactly the same because load balancers do not affect throughput",{"key":139,"text":181},"The single-node test will always show higher throughput than the 6-node production setup",{"key":142,"text":183},"Load balancers only affect security, not performance testing accuracy","A single node has a fraction of the aggregate CPU\u002Fmemory\u002Fconnection capacity of a 6-node cluster, so it will saturate and show degraded latency\u002Ferrors at a load level production could handle comfortably — underestimating real capacity.",{"id":186,"topic":9,"difficulty":173,"body":187,"options":188,"correct_key":136,"explanation":197},"019ff6e3-9622-7507-a358-7b86a863cd96","Why does a CDN (Content Delivery Network) in front of production complicate performance test design?",[189,191,193,195],{"key":133,"text":190},"CDNs always slow down every single request regardless of caching state, so performance tests should simply ignore them entirely",{"key":136,"text":192},"The test may hit CDN cache hits, measuring edge cache latency instead of real origin\u002Fbackend performance",{"key":139,"text":194},"CDNs make it impossible to run any kind of load test against production-like environments",{"key":142,"text":196},"CDNs only affect DNS resolution time and have no impact on measured response times","When requests are served from CDN edge caches, the load test measures the CDN's cache-hit latency, not the origin server's real processing time. To test backend\u002Forigin performance, the test design must account for cache bypass or target the origin directly.",{"id":199,"topic":9,"difficulty":129,"body":200,"options":201,"correct_key":139,"explanation":210},"019ff6e3-9623-7219-b011-8672c24f4efa","What is a 'performance regression baseline' in the context of integrating performance tests into CI\u002FCD?",[202,204,206,208],{"key":133,"text":203},"The minimum number of virtual users required for a test to be considered valid",{"key":136,"text":205},"A list of all functional test cases that must pass before a performance test can run",{"key":139,"text":207},"A previously recorded set of performance metrics used as a reference point to detect measurable regressions in new builds",{"key":142,"text":209},"The default configuration file used by the load testing tool when no options are specified","A baseline is a stored reference of prior performance metrics. New test runs are compared against it to detect regressions (e.g. p95 latency increased by 20%) automatically as part of the CI\u002FCD pipeline, rather than relying on manual judgment each 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