Agentic Memory & Planning MCQ Questions with Answers (Latest 2026)

Q1. Which option best describes short-term memory in agentic AI?

A. A token cache file. B. The current context window content used within a single run. C. Model weights. D. A persistent vector store across users.

Select an answer to check.

Answer: The current context window content used within a single run.

Here, The current context window content used within a single run. is the right choice. STM is ephemeral per-run state. It aligns directly with what the question asks about which option best describes short-term memory in agentic. A quick elimination of partially true options helps confirm it.

Q2. What is the primary purpose of short-term memory?

A. A persistent vector store across users. B. The current context window content used within a single run. C. A token cache file. D. Model weights.

Select an answer to check.

Answer: The current context window content used within a single run.

In this case, The current context window content used within a single run. is correct. STM is ephemeral per-run state. It aligns directly with what the question asks about what is the primary purpose of short-term memory. A quick elimination of partially true options helps confirm it.

Q3. Which statement about short-term memory is most accurate?

A. The current context window content used within a single run. B. A persistent vector store across users. C. Model weights. D. A token cache file.

Select an answer to check.

Answer: The current context window content used within a single run.

The best option here is The current context window content used within a single run.. STM is ephemeral per-run state. It aligns directly with what the question asks about which statement about short-term memory is most accurate. A quick elimination of partially true options helps confirm it.

Q4. How is short-term memory best characterized?

A. The current context window content used within a single run. B. Model weights. C. A token cache file. D. A persistent vector store across users.

Select an answer to check.

Answer: The current context window content used within a single run.

For this question, The current context window content used within a single run. is correct. STM is ephemeral per-run state. It aligns directly with what the question asks about how is short-term memory best characterized. A quick elimination of partially true options helps confirm it.

Q5. Which option best describes long-term memory in agentic AI?

A. A scratchpad cleared every step. B. A model parameter file. C. Persistent storage of facts/episodes across sessions. D. A response cache.

Select an answer to check.

Answer: Persistent storage of facts/episodes across sessions.

Persistent storage of facts/episodes across sessions. is the correct answer here. LTM survives across runs. It aligns directly with what the question asks about which option best describes long-term memory in agentic. A quick elimination of partially true options helps confirm it.

Q6. What is the primary purpose of long-term memory?

A. Persistent storage of facts/episodes across sessions. B. A model parameter file. C. A response cache. D. A scratchpad cleared every step.

Select an answer to check.

Answer: Persistent storage of facts/episodes across sessions.

Here, Persistent storage of facts/episodes across sessions. is the right choice. LTM survives across runs. This matches the core idea being tested around what is the primary purpose of long-term memory. A quick elimination of partially true options helps confirm it.

Q7. Which statement about long-term memory is most accurate?

A. A scratchpad cleared every step. B. A response cache. C. Persistent storage of facts/episodes across sessions. D. A model parameter file.

Select an answer to check.

Answer: Persistent storage of facts/episodes across sessions.

In this case, Persistent storage of facts/episodes across sessions. is correct. LTM survives across runs. This matches the core idea being tested around which statement about long-term memory is most accurate. A quick elimination of partially true options helps confirm it.

Q8. How is long-term memory best characterized?

A. A scratchpad cleared every step. B. Persistent storage of facts/episodes across sessions. C. A response cache. D. A model parameter file.

Select an answer to check.

Answer: Persistent storage of facts/episodes across sessions.

The best option here is Persistent storage of facts/episodes across sessions.. LTM survives across runs. This matches the core idea being tested around how is long-term memory best characterized. A quick elimination of partially true options helps confirm it.

Q9. Which option best describes episodic memory in agentic AI?

A. A token frequency table. B. A record of specific past events or interactions. C. A static knowledge base only. D. A learning rate schedule.

Select an answer to check.

Answer: A record of specific past events or interactions.

For this question, A record of specific past events or interactions. is correct. Episodes anchor retrieval to events. This matches the core idea being tested around which option best describes episodic memory in agentic. A quick elimination of partially true options helps confirm it.

Q10. What is the primary purpose of episodic memory?

A. A record of specific past events or interactions. B. A token frequency table. C. A static knowledge base only. D. A learning rate schedule.

Select an answer to check.

Answer: A record of specific past events or interactions.

A record of specific past events or interactions. is the correct answer here. Episodes anchor retrieval to events. This matches the core idea being tested around what is the primary purpose of episodic memory. A quick elimination of partially true options helps confirm it.

Q11. Which statement about episodic memory is most accurate?

A. A record of specific past events or interactions. B. A learning rate schedule. C. A static knowledge base only. D. A token frequency table.

Select an answer to check.

Answer: A record of specific past events or interactions.

Here, A record of specific past events or interactions. is the right choice. Episodes anchor retrieval to events. That is exactly the concept behind which statement about episodic memory is most accurate in this context. A quick elimination of partially true options helps confirm it.

Q12. How is episodic memory best characterized?

A. A static knowledge base only. B. A record of specific past events or interactions. C. A learning rate schedule. D. A token frequency table.

Select an answer to check.

Answer: A record of specific past events or interactions.

In this case, A record of specific past events or interactions. is correct. Episodes anchor retrieval to events. That is exactly the concept behind how is episodic memory best characterized in this context. A quick elimination of partially true options helps confirm it.

Q13. Which option best describes semantic memory in agentic AI?

A. A circuit breaker. B. A queue of pending actions. C. A request log. D. Generalized knowledge stored as embeddings or facts.

Select an answer to check.

Answer: Generalized knowledge stored as embeddings or facts.

The best option here is Generalized knowledge stored as embeddings or facts.. Powers RAG-style recall. That is exactly the concept behind which option best describes semantic memory in agentic in this context. A quick elimination of partially true options helps confirm it.

Q14. What is the primary purpose of semantic memory?

A. A request log. B. Generalized knowledge stored as embeddings or facts. C. A queue of pending actions. D. A circuit breaker.

Select an answer to check.

Answer: Generalized knowledge stored as embeddings or facts.

For this question, Generalized knowledge stored as embeddings or facts. is correct. Powers RAG-style recall. That is exactly the concept behind what is the primary purpose of semantic memory in this context. A quick elimination of partially true options helps confirm it.

Q15. Which statement about semantic memory is most accurate?

A. A queue of pending actions. B. A circuit breaker. C. Generalized knowledge stored as embeddings or facts. D. A request log.

Select an answer to check.

Answer: Generalized knowledge stored as embeddings or facts.

Generalized knowledge stored as embeddings or facts. is the correct answer here. Powers RAG-style recall. That is exactly the concept behind which statement about semantic memory is most accurate in this context. A quick elimination of partially true options helps confirm it.

Q16. How is semantic memory best characterized?

A. A queue of pending actions. B. A request log. C. A circuit breaker. D. Generalized knowledge stored as embeddings or facts.

Select an answer to check.

Answer: Generalized knowledge stored as embeddings or facts.

Here, Generalized knowledge stored as embeddings or facts. is the right choice. Powers RAG-style recall. It fits the requirement in the prompt about how is semantic memory best characterized. A quick elimination of partially true options helps confirm it.

Q17. Which option best describes a vector store in agentic AI?

A. A KV cache for prompts. B. A queue of pending tool calls. C. A nearest-neighbor index over embeddings. D. A relational warehouse for analytics.

Select an answer to check.

Answer: A nearest-neighbor index over embeddings.

In this case, A nearest-neighbor index over embeddings. is correct. Backbone for semantic memory. It fits the requirement in the prompt about which option best describes a vector store in. A quick elimination of partially true options helps confirm it.

Q18. What is the primary purpose of a vector store?

A. A relational warehouse for analytics. B. A queue of pending tool calls. C. A nearest-neighbor index over embeddings. D. A KV cache for prompts.

Select an answer to check.

Answer: A nearest-neighbor index over embeddings.

The best option here is A nearest-neighbor index over embeddings.. Backbone for semantic memory. It fits the requirement in the prompt about what is the primary purpose of a vector. A quick elimination of partially true options helps confirm it.

Q19. Which statement about a vector store is most accurate?

A. A nearest-neighbor index over embeddings. B. A relational warehouse for analytics. C. A queue of pending tool calls. D. A KV cache for prompts.

Select an answer to check.

Answer: A nearest-neighbor index over embeddings.

For this question, A nearest-neighbor index over embeddings. is correct. Backbone for semantic memory. It fits the requirement in the prompt about which statement about a vector store is most. A quick elimination of partially true options helps confirm it.

Q20. How is a vector store best characterized?

A. A KV cache for prompts. B. A relational warehouse for analytics. C. A nearest-neighbor index over embeddings. D. A queue of pending tool calls.

Select an answer to check.

Answer: A nearest-neighbor index over embeddings.

A nearest-neighbor index over embeddings. is the correct answer here. Backbone for semantic memory. It fits the requirement in the prompt about how is a vector store best characterized. A quick elimination of partially true options helps confirm it.

Q21. Which option best describes memory eviction in agentic AI?

A. Sharding entries by user. B. Compressing into binary form. C. Removing old/low-value entries to control size and cost. D. Encrypting all entries.

Select an answer to check.

Answer: Removing old/low-value entries to control size and cost.

Here, Removing old/low-value entries to control size and cost. is the right choice. Keeps memory bounded and useful. This is the most accurate statement for which option best describes memory eviction in agentic. A quick elimination of partially true options helps confirm it.

Q22. What is the primary purpose of memory eviction?

A. Removing old/low-value entries to control size and cost. B. Sharding entries by user. C. Compressing into binary form. D. Encrypting all entries.

Select an answer to check.

Answer: Removing old/low-value entries to control size and cost.

In this case, Removing old/low-value entries to control size and cost. is correct. Keeps memory bounded and useful. This is the most accurate statement for what is the primary purpose of memory eviction. A quick elimination of partially true options helps confirm it.

Q23. Which statement about memory eviction is most accurate?

A. Compressing into binary form. B. Removing old/low-value entries to control size and cost. C. Encrypting all entries. D. Sharding entries by user.

Select an answer to check.

Answer: Removing old/low-value entries to control size and cost.

The best option here is Removing old/low-value entries to control size and cost.. Keeps memory bounded and useful. This is the most accurate statement for which statement about memory eviction is most accurate. A quick elimination of partially true options helps confirm it.

Q24. How is memory eviction best characterized?

A. Encrypting all entries. B. Sharding entries by user. C. Compressing into binary form. D. Removing old/low-value entries to control size and cost.

Select an answer to check.

Answer: Removing old/low-value entries to control size and cost.

For this question, Removing old/low-value entries to control size and cost. is correct. Keeps memory bounded and useful. This is the most accurate statement for how is memory eviction best characterized. A quick elimination of partially true options helps confirm it.

Q25. Which option best describes hierarchical memory in agentic AI?

A. Layered memories (working/STM/LTM) with different retention. B. A blockchain ledger. C. A queue of events. D. A single flat KV store.

Select an answer to check.

Answer: Layered memories (working/STM/LTM) with different retention.

Layered memories (working/STM/LTM) with different retention. is the correct answer here. Trades cost vs recall fidelity. This is the most accurate statement for which option best describes hierarchical memory in agentic. A quick elimination of partially true options helps confirm it.

Q26. What is the primary purpose of hierarchical memory?

A. A single flat KV store. B. Layered memories (working/STM/LTM) with different retention. C. A blockchain ledger. D. A queue of events.

Select an answer to check.

Answer: Layered memories (working/STM/LTM) with different retention.

Here, Layered memories (working/STM/LTM) with different retention. is the right choice. Trades cost vs recall fidelity. It aligns directly with what the question asks about what is the primary purpose of hierarchical memory. The other options are either incomplete or contextually incorrect.

Q27. Which statement about hierarchical memory is most accurate?

A. A blockchain ledger. B. A single flat KV store. C. Layered memories (working/STM/LTM) with different retention. D. A queue of events.

Select an answer to check.

Answer: Layered memories (working/STM/LTM) with different retention.

In this case, Layered memories (working/STM/LTM) with different retention. is correct. Trades cost vs recall fidelity. It aligns directly with what the question asks about which statement about hierarchical memory is most accurate. The other options are either incomplete or contextually incorrect.

Q28. How is hierarchical memory best characterized?

A. A single flat KV store. B. A blockchain ledger. C. Layered memories (working/STM/LTM) with different retention. D. A queue of events.

Select an answer to check.

Answer: Layered memories (working/STM/LTM) with different retention.

The best option here is Layered memories (working/STM/LTM) with different retention.. Trades cost vs recall fidelity. It aligns directly with what the question asks about how is hierarchical memory best characterized. The other options are either incomplete or contextually incorrect.

Q29. Which option best describes summary memory in agentic AI?

A. Raw transcripts only. B. Encrypted blobs only. C. A vector index over weights. D. Condensed summaries of past interactions held in context.

Select an answer to check.

Answer: Condensed summaries of past interactions held in context.

For this question, Condensed summaries of past interactions held in context. is correct. Compresses context to save tokens. It aligns directly with what the question asks about which option best describes summary memory in agentic. The other options are either incomplete or contextually incorrect.

Q30. What is the primary purpose of summary memory?

A. Condensed summaries of past interactions held in context. B. A vector index over weights. C. Encrypted blobs only. D. Raw transcripts only.

Select an answer to check.

Answer: Condensed summaries of past interactions held in context.

Condensed summaries of past interactions held in context. is the correct answer here. Compresses context to save tokens. It aligns directly with what the question asks about what is the primary purpose of summary memory. The other options are either incomplete or contextually incorrect.

Q31. Which statement about summary memory is most accurate?

A. A vector index over weights. B. Condensed summaries of past interactions held in context. C. Raw transcripts only. D. Encrypted blobs only.

Select an answer to check.

Answer: Condensed summaries of past interactions held in context.

Here, Condensed summaries of past interactions held in context. is the right choice. Compresses context to save tokens. This matches the core idea being tested around which statement about summary memory is most accurate. The other options are either incomplete or contextually incorrect.

Q32. How is summary memory best characterized?

A. Condensed summaries of past interactions held in context. B. A vector index over weights. C. Raw transcripts only. D. Encrypted blobs only.

Select an answer to check.

Answer: Condensed summaries of past interactions held in context.

In this case, Condensed summaries of past interactions held in context. is correct. Compresses context to save tokens. This matches the core idea being tested around how is summary memory best characterized. The other options are either incomplete or contextually incorrect.

Q33. Which option best describes retrieval over memory in agentic AI?

A. Pruning memory at random. B. Pulling relevant memories based on the current query. C. Discarding tool outputs only. D. Always pasting all memory into prompt.

Select an answer to check.

Answer: Pulling relevant memories based on the current query.

The best option here is Pulling relevant memories based on the current query.. Targets context to what's needed. This matches the core idea being tested around which option best describes retrieval over memory in. The other options are either incomplete or contextually incorrect.

Q34. What is the primary purpose of retrieval over memory?

A. Always pasting all memory into prompt. B. Pulling relevant memories based on the current query. C. Discarding tool outputs only. D. Pruning memory at random.

Select an answer to check.

Answer: Pulling relevant memories based on the current query.

For this question, Pulling relevant memories based on the current query. is correct. Targets context to what's needed. This matches the core idea being tested around what is the primary purpose of retrieval over. The other options are either incomplete or contextually incorrect.

Q35. Which statement about retrieval over memory is most accurate?

A. Pulling relevant memories based on the current query. B. Discarding tool outputs only. C. Pruning memory at random. D. Always pasting all memory into prompt.

Select an answer to check.

Answer: Pulling relevant memories based on the current query.

Pulling relevant memories based on the current query. is the correct answer here. Targets context to what's needed. This matches the core idea being tested around which statement about retrieval over memory is most. The other options are either incomplete or contextually incorrect.

Q36. How is retrieval over memory best characterized?

A. Pruning memory at random. B. Pulling relevant memories based on the current query. C. Always pasting all memory into prompt. D. Discarding tool outputs only.

Select an answer to check.

Answer: Pulling relevant memories based on the current query.

Here, Pulling relevant memories based on the current query. is the right choice. Targets context to what's needed. That is exactly the concept behind how is retrieval over memory best characterized in this context. The other options are either incomplete or contextually incorrect.

Q37. Which option best describes planner in agentic AI?

A. A vector reranker. B. A logger of tool calls. C. Component that produces a step list before execution. D. A retry middleware.

Select an answer to check.

Answer: Component that produces a step list before execution.

In this case, Component that produces a step list before execution. is correct. Decomposes goals into steps. That is exactly the concept behind which option best describes planner in agentic ai in this context. The other options are either incomplete or contextually incorrect.

Q38. What is the primary purpose of planner?

A. A logger of tool calls. B. Component that produces a step list before execution. C. A vector reranker. D. A retry middleware.

Select an answer to check.

Answer: Component that produces a step list before execution.

The best option here is Component that produces a step list before execution.. Decomposes goals into steps. That is exactly the concept behind what is the primary purpose of planner in this context. The other options are either incomplete or contextually incorrect.

Q39. Which statement about planner is most accurate?

A. Component that produces a step list before execution. B. A vector reranker. C. A logger of tool calls. D. A retry middleware.

Select an answer to check.

Answer: Component that produces a step list before execution.

For this question, Component that produces a step list before execution. is correct. Decomposes goals into steps. That is exactly the concept behind which statement about planner is most accurate in this context. The other options are either incomplete or contextually incorrect.

Q40. How is planner best characterized?

A. Component that produces a step list before execution. B. A logger of tool calls. C. A retry middleware. D. A vector reranker.

Select an answer to check.

Answer: Component that produces a step list before execution.

Component that produces a step list before execution. is the correct answer here. Decomposes goals into steps. That is exactly the concept behind how is planner best characterized in this context. The other options are either incomplete or contextually incorrect.

Q41. Which option best describes HTN planning in agentic AI?

A. A pure RL value function. B. Random tool sampling. C. Greedy decoding only. D. Hierarchical task network decomposition into sub-tasks.

Select an answer to check.

Answer: Hierarchical task network decomposition into sub-tasks.

Here, Hierarchical task network decomposition into sub-tasks. is the right choice. Useful when tasks decompose hierarchically. It fits the requirement in the prompt about which option best describes htn planning in agentic. The other options are either incomplete or contextually incorrect.

Q42. What is the primary purpose of HTN planning?

A. A pure RL value function. B. Random tool sampling. C. Greedy decoding only. D. Hierarchical task network decomposition into sub-tasks.

Select an answer to check.

Answer: Hierarchical task network decomposition into sub-tasks.

In this case, Hierarchical task network decomposition into sub-tasks. is correct. Useful when tasks decompose hierarchically. It fits the requirement in the prompt about what is the primary purpose of htn planning. The other options are either incomplete or contextually incorrect.

Q43. Which statement about HTN planning is most accurate?

A. A pure RL value function. B. Greedy decoding only. C. Random tool sampling. D. Hierarchical task network decomposition into sub-tasks.

Select an answer to check.

Answer: Hierarchical task network decomposition into sub-tasks.

The best option here is Hierarchical task network decomposition into sub-tasks.. Useful when tasks decompose hierarchically. It fits the requirement in the prompt about which statement about htn planning is most accurate. The other options are either incomplete or contextually incorrect.

Q44. How is HTN planning best characterized?

A. Random tool sampling. B. Greedy decoding only. C. A pure RL value function. D. Hierarchical task network decomposition into sub-tasks.

Select an answer to check.

Answer: Hierarchical task network decomposition into sub-tasks.

For this question, Hierarchical task network decomposition into sub-tasks. is correct. Useful when tasks decompose hierarchically. It fits the requirement in the prompt about how is htn planning best characterized. The other options are either incomplete or contextually incorrect.

Q45. Which option best describes ReAct planning in agentic AI?

A. Interleaving reasoning and acting in a single loop. B. Plan-then-execute strict separation. C. Open-loop planning only. D. Static workflow with no LLM.

Select an answer to check.

Answer: Interleaving reasoning and acting in a single loop.

Interleaving reasoning and acting in a single loop. is the correct answer here. Adaptive but can be costly. It fits the requirement in the prompt about which option best describes react planning in agentic. The other options are either incomplete or contextually incorrect.

Q46. What is the primary purpose of ReAct planning?

A. Static workflow with no LLM. B. Interleaving reasoning and acting in a single loop. C. Open-loop planning only. D. Plan-then-execute strict separation.

Select an answer to check.

Answer: Interleaving reasoning and acting in a single loop.

Here, Interleaving reasoning and acting in a single loop. is the right choice. Adaptive but can be costly. This is the most accurate statement for what is the primary purpose of react planning. The other options are either incomplete or contextually incorrect.

Q47. Which statement about ReAct planning is most accurate?

A. Plan-then-execute strict separation. B. Interleaving reasoning and acting in a single loop. C. Static workflow with no LLM. D. Open-loop planning only.

Select an answer to check.

Answer: Interleaving reasoning and acting in a single loop.

In this case, Interleaving reasoning and acting in a single loop. is correct. Adaptive but can be costly. This is the most accurate statement for which statement about react planning is most accurate. The other options are either incomplete or contextually incorrect.

Q48. How is ReAct planning best characterized?

A. Open-loop planning only. B. Interleaving reasoning and acting in a single loop. C. Static workflow with no LLM. D. Plan-then-execute strict separation.

Select an answer to check.

Answer: Interleaving reasoning and acting in a single loop.

The best option here is Interleaving reasoning and acting in a single loop.. Adaptive but can be costly. This is the most accurate statement for how is react planning best characterized. The other options are either incomplete or contextually incorrect.

Q49. Which option best describes plan-and-execute in agentic AI?

A. A single-prompt one-shot answer. B. Two-phase: full plan first, then execute via worker(s). C. A pure retrieval pipeline. D. A streaming-only generation.

Select an answer to check.

Answer: Two-phase: full plan first, then execute via worker(s).

For this question, Two-phase: full plan first, then execute via worker(s). is correct. Lower per-step cost vs ReAct. This is the most accurate statement for which option best describes plan-and-execute in agentic ai. The other options are either incomplete or contextually incorrect.

Q50. What is the primary purpose of plan-and-execute?

A. A pure retrieval pipeline. B. A single-prompt one-shot answer. C. Two-phase: full plan first, then execute via worker(s). D. A streaming-only generation.

Select an answer to check.

Answer: Two-phase: full plan first, then execute via worker(s).

Two-phase: full plan first, then execute via worker(s). is the correct answer here. Lower per-step cost vs ReAct. This is the most accurate statement for what is the primary purpose of plan-and-execute. The other options are either incomplete or contextually incorrect.