Objective 3.6 · Domain 3 · 19% of the exam
Apply retrieval strategies matched to data shape and query pattern
Matching the retrieval strategy to the shape of the data and the shape of the query. Dense vector search handles paraphrase and concept. Keyword and lexical search handle identifiers, part numbers and exact terms. Hybrid retrieval with reranking handles the common case where both matter. If a stem mentions codes, SKUs, error strings or names, it is signalling that pure semantic search will miss.
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The rest of domain 3: Integration
This domain is 19% of a scored form, about 12 of the 63 questions, spread across 8 objectives. Drill the whole domain or pick another objective below.
- 3.1Evaluate tool/agent configuration for capability bloat(5)
- 3.2Analyze authentication and authorization requirements to identify security gaps(5)
- 3.3Evaluate accuracy-latency trade-offs and justify configuration decisions(5)
- 3.4Analyze observability challenges and select monitoring strategies at scale(5)
- 3.5Design a RAG pipeline with appropriate chunking and indexing strategies(5)
- 3.7Evaluate connection protocols and select the appropriate integration mechanism (MCP, API/CLI, agent-to-agent)(4)
- 3.8Evaluate progressive discovery vs. monolithic context strategy(4)
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