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You designed a DynamoDB table without identifying access patterns first. Your app queries are slow. What is the likely cause?

medium🧠 Conceptual Q14 of 15
DynamoDB - Access Patterns and Query Optimization
You designed a DynamoDB table without identifying access patterns first. Your app queries are slow. What is the likely cause?
AThe table keys and indexes do not support the app's query needs.
BThe app has too many users.
CThe table has too many columns.
DThe app is using the wrong programming language.
Step-by-Step Solution
Solution:
  1. Step 1: Understand the impact of missing access pattern planning

    Without access patterns, keys and indexes may not match query needs, causing slow queries.
  2. Step 2: Eliminate unrelated causes

    User count, column number, or programming language do not directly cause slow DynamoDB queries.
  3. Final Answer:

    The table keys and indexes do not support the app's query needs. -> Option A
  4. Quick Check:

    Missing access patterns = wrong keys/indexes = slow queries [OK]
Quick Trick: Slow queries often mean keys/indexes mismatch access patterns [OK]
Common Mistakes:
MISTAKES
  • Blaming app user count for query speed
  • Thinking table columns affect query speed directly
  • Assuming programming language affects DynamoDB speed

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