Question 334 of 991
LangChain and AI Application DevelopmentmediumMultiple ChoiceObjective-mapped

1Z0-1127 LangChain and AI Application Development Practice Question

This 1Z0-1127 practice question tests your understanding of langchain and ai application development. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A company is using Oracle AI Vector Search in Oracle Database 23ai for semantic search over product descriptions. They need to create an index that supports approximate nearest neighbor search with high recall and moderate indexing time. Which index type and parameters should they choose?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

HNSW index with default parameters

HNSW (Hierarchical Navigable Small World) indexes offer high recall and faster search times, but building the index takes longer. IVF (Inverted File) indexes index faster but may have lower recall unless tuned. For high recall and moderate indexing time, HNSW is preferred because it provides better accuracy at the cost of longer build time.

Key principle: OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Exact nearest neighbor search without an index

    Why it's wrong here

    Exact search is prohibitively slow for large datasets and is not an index type.

  • HNSW index with default parameters

    Why this is correct

    HNSW typically provides high recall and moderate indexing time compared to exact search, making it suitable for production semantic search.

    Related concept

    OSPF neighbours must agree on key parameters.

  • No index — rely on full table scan

    Why it's wrong here

    Full table scan is extremely slow and does not scale; an index is necessary for performance.

  • IVF index with a large number of centroids

    Why it's wrong here

    IVF indexing is faster but recall may degrade; large centroids improve recall but increase search time, and indexing time may still be moderate.

Common exam traps

Common exam trap: OSPF can fail even when IP connectivity looks correct

OSPF neighbour formation depends on matching areas, timers, network type, authentication and passive-interface behaviour. Do not choose an answer only because the devices can ping.

Detailed technical explanation

How to think about this question

OSPF questions usually test the details that control adjacency and route selection. Read the neighbour state, area, router ID and interface configuration before deciding what is wrong.

KKey Concepts to Remember

  • OSPF neighbours must agree on key parameters.
  • Router ID selection can affect neighbour relationships and LSDB output.
  • OSPF cost influences the preferred path.
  • A route can appear in OSPF information but not become the installed route.

TExam Day Tips

  • Check area mismatch first when OSPF adjacency fails.
  • Review passive interfaces when a network is advertised but no neighbour forms.
  • Use show ip ospf neighbor and show ip route clues carefully.

Key takeaway

OSPF neighbour adjacency depends on matching area, hello/dead timers, network type, and authentication — IP reachability alone is not enough.

Real-world example

How this comes up in practice

A network engineer at a university connects two campus buildings via a fibre link. Both routers run OSPF, but no adjacency forms — even though both routers can ping each other. The engineer finds one router is in area 0 and the other in area 1. OSPF adjacency requires matching area numbers, hello/dead timers, and network type. IP reachability alone is not enough.

What to study next

Got this wrong? Here's your next step.

Review OSPF neighbour requirements — matching area type, hello and dead timers, network type, stub flags, and authentication. Study show ip ospf neighbor states (INIT, 2-WAY, FULL). Then practise related 1Z0-1127 OSPF questions on adjacency and route selection.

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FAQ

Questions learners often ask

What does this 1Z0-1127 question test?

LangChain and AI Application Development — This question tests LangChain and AI Application Development — OSPF neighbours must agree on key parameters..

What is the correct answer to this question?

The correct answer is: HNSW index with default parameters — HNSW (Hierarchical Navigable Small World) indexes offer high recall and faster search times, but building the index takes longer. IVF (Inverted File) indexes index faster but may have lower recall unless tuned. For high recall and moderate indexing time, HNSW is preferred because it provides better accuracy at the cost of longer build time.

What should I do if I get this 1Z0-1127 question wrong?

Review OSPF neighbour requirements — matching area type, hello and dead timers, network type, stub flags, and authentication. Study show ip ospf neighbor states (INIT, 2-WAY, FULL). Then practise related 1Z0-1127 OSPF questions on adjacency and route selection.

What is the key concept behind this question?

OSPF neighbours must agree on key parameters.

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Last reviewed: Jul 4, 2026

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