Rapid Recall 24–45
- Archive vs purge vs retention?
- CDC vs replication?
- Active vs passive replication?
- Mirroring vs log shipping?
- Resiliency vs recovery?
- Immediate vs critical vs non-critical recovery?
- Name five usage-pattern types.
- What must capacity estimates include besides table data?
- Why test recovery?
- Four SCM procedures?
- Physical vs functional configuration audit?
- Performance = what two facets?
- Name five common performance causes.
- Transaction vs batch performance?
- What rule applies before denormalizing an OLTP database?
- How should protected Production data be handled in testing?
- Define data migration.
- Name four tool categories.
- Three techniques?
- Two readiness-risk themes?
- Four metric families?
- Data audit vs data validation?
Minimum self-check targets
- retention = duration; archive = retrievable relocation; purge = irreversible removal;
- CDC = deltas; replication = copies; sharding = chunks;
- passive replication = primary → secondaries; mirroring = near-current; log shipping = periodic logs;
- resiliency = continue; recovery = restore;
- capacity includes data + indexes + logs + redundant images + growth;
- recovery tests prove backups/procedures are usable;
- SCM = identification · change control · status accounting · audits;
- physical audit = installed as designed; functional audit = required attributes achieved;
- performance = availability + speed;
- diagnose memory, locks/deadlocks, statistics, SQL/joins, indexes, server load/capacity, volatility, runaway workload before structural redesign;
- protected Production-derived test data may require sampling/masking/protection;
- migration = transfer between storage/type/format/system with as little change as possible;
- tools = modeling, monitoring, management, developer support;
- techniques = lower environments first, physical naming standards, script changes;
- readiness themes = data-loss risk + technology/skills readiness;
- metrics = Storage / Performance / Operational / Service;
- audit = compliance/method criteria; validation = quality/usability acceptance.
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