Agentic AI Basics MCQ Questions with Answers – Page 2 (Latest 2026)

Q51. Which statement about an embedding is most accurate?

A. A compressed form of the model weights. B. An auth token for an API. C. A cached prompt. D. A vector representation of text used for semantic similarity.

Select an answer to check.

Answer: A vector representation of text used for semantic similarity.

Here, A vector representation of text used for semantic similarity. is the right choice. Embeddings power semantic retrieval and memory. It aligns directly with what the question asks about which statement about an embedding is most accurate. Competing choices sound plausible, but they miss the key condition.

Q52. How is an embedding best characterized?

A. A vector representation of text used for semantic similarity. B. An auth token for an API. C. A compressed form of the model weights. D. A cached prompt.

Select an answer to check.

Answer: A vector representation of text used for semantic similarity.

In this case, A vector representation of text used for semantic similarity. is correct. Embeddings power semantic retrieval and memory. It aligns directly with what the question asks about how is an embedding best characterized. Competing choices sound plausible, but they miss the key condition.

Q53. Which option best describes a vector store in agentic AI?

A. A queue for asynchronous tasks. B. A database optimized for nearest-neighbor search over embeddings. C. A registry of model versions. D. A relational store for tool logs.

Select an answer to check.

Answer: A database optimized for nearest-neighbor search over embeddings.

The best option here is A database optimized for nearest-neighbor search over embeddings.. Vector stores back semantic memory and RAG. It aligns directly with what the question asks about which option best describes a vector store in. Competing choices sound plausible, but they miss the key condition.

Q54. What is the primary purpose of a vector store?

A. A relational store for tool logs. B. A database optimized for nearest-neighbor search over embeddings. C. A registry of model versions. D. A queue for asynchronous tasks.

Select an answer to check.

Answer: A database optimized for nearest-neighbor search over embeddings.

For this question, A database optimized for nearest-neighbor search over embeddings. is correct. Vector stores back semantic memory and RAG. It aligns directly with what the question asks about what is the primary purpose of a vector. Competing choices sound plausible, but they miss the key condition.

Q55. Which statement about a vector store is most accurate?

A. A database optimized for nearest-neighbor search over embeddings. B. A queue for asynchronous tasks. C. A relational store for tool logs. D. A registry of model versions.

Select an answer to check.

Answer: A database optimized for nearest-neighbor search over embeddings.

A database optimized for nearest-neighbor search over embeddings. is the correct answer here. Vector stores back semantic memory and RAG. It aligns directly with what the question asks about which statement about a vector store is most. Competing choices sound plausible, but they miss the key condition.

Q56. How is a vector store best characterized?

A. A registry of model versions. B. A relational store for tool logs. C. A queue for asynchronous tasks. D. A database optimized for nearest-neighbor search over embeddings.

Select an answer to check.

Answer: A database optimized for nearest-neighbor search over embeddings.

Here, A database optimized for nearest-neighbor search over embeddings. is the right choice. Vector stores back semantic memory and RAG. This matches the core idea being tested around how is a vector store best characterized. Competing choices sound plausible, but they miss the key condition.

Q57. Which option best describes an agent's goal in agentic AI?

A. The cheapest possible response. B. A target outcome the agent attempts to achieve through reasoning and tools. C. The model's training objective. D. The next predicted token.

Select an answer to check.

Answer: A target outcome the agent attempts to achieve through reasoning and tools.

In this case, A target outcome the agent attempts to achieve through reasoning and tools. is correct. Goals drive planning and action selection. This matches the core idea being tested around which option best describes an agent's goal in. Competing choices sound plausible, but they miss the key condition.

Q58. What is the primary purpose of an agent's goal?

A. The model's training objective. B. The next predicted token. C. The cheapest possible response. D. A target outcome the agent attempts to achieve through reasoning and tools.

Select an answer to check.

Answer: A target outcome the agent attempts to achieve through reasoning and tools.

The best option here is A target outcome the agent attempts to achieve through reasoning and tools.. Goals drive planning and action selection. This matches the core idea being tested around what is the primary purpose of an agent's. Competing choices sound plausible, but they miss the key condition.

Q59. Which statement about an agent's goal is most accurate?

A. The next predicted token. B. The cheapest possible response. C. The model's training objective. D. A target outcome the agent attempts to achieve through reasoning and tools.

Select an answer to check.

Answer: A target outcome the agent attempts to achieve through reasoning and tools.

For this question, A target outcome the agent attempts to achieve through reasoning and tools. is correct. Goals drive planning and action selection. This matches the core idea being tested around which statement about an agent's goal is most. Competing choices sound plausible, but they miss the key condition.

Q60. How is an agent's goal best characterized?

A. The next predicted token. B. The cheapest possible response. C. The model's training objective. D. A target outcome the agent attempts to achieve through reasoning and tools.

Select an answer to check.

Answer: A target outcome the agent attempts to achieve through reasoning and tools.

A target outcome the agent attempts to achieve through reasoning and tools. is the correct answer here. Goals drive planning and action selection. This matches the core idea being tested around how is an agent's goal best characterized. Competing choices sound plausible, but they miss the key condition.

Q61. Which option best describes structured output in agentic AI?

A. Free-form prose with markdown. B. A streaming token sequence. C. Model responses constrained to a JSON schema or grammar. D. Audio output from the model.

Select an answer to check.

Answer: Model responses constrained to a JSON schema or grammar.

Here, Model responses constrained to a JSON schema or grammar. is the right choice. Structured output is critical for reliable tool integration. That is exactly the concept behind which option best describes structured output in agentic in this context. Competing choices sound plausible, but they miss the key condition.

Q62. What is the primary purpose of structured output?

A. A streaming token sequence. B. Free-form prose with markdown. C. Audio output from the model. D. Model responses constrained to a JSON schema or grammar.

Select an answer to check.

Answer: Model responses constrained to a JSON schema or grammar.

In this case, Model responses constrained to a JSON schema or grammar. is correct. Structured output is critical for reliable tool integration. That is exactly the concept behind what is the primary purpose of structured output in this context. Competing choices sound plausible, but they miss the key condition.

Q63. Which statement about structured output is most accurate?

A. A streaming token sequence. B. Model responses constrained to a JSON schema or grammar. C. Free-form prose with markdown. D. Audio output from the model.

Select an answer to check.

Answer: Model responses constrained to a JSON schema or grammar.

The best option here is Model responses constrained to a JSON schema or grammar.. Structured output is critical for reliable tool integration. That is exactly the concept behind which statement about structured output is most accurate in this context. Competing choices sound plausible, but they miss the key condition.

Q64. How is structured output best characterized?

A. Audio output from the model. B. Free-form prose with markdown. C. Model responses constrained to a JSON schema or grammar. D. A streaming token sequence.

Select an answer to check.

Answer: Model responses constrained to a JSON schema or grammar.

For this question, Model responses constrained to a JSON schema or grammar. is correct. Structured output is critical for reliable tool integration. That is exactly the concept behind how is structured output best characterized in this context. Competing choices sound plausible, but they miss the key condition.

Q65. Which option best describes a planner in agentic AI?

A. A retry mechanism for failed calls. B. A logging sink for tool calls. C. A component that produces a sequence of steps before execution. D. A token counter.

Select an answer to check.

Answer: A component that produces a sequence of steps before execution.

A component that produces a sequence of steps before execution. is the correct answer here. Planners decompose goals into actionable steps. That is exactly the concept behind which option best describes a planner in agentic in this context. Competing choices sound plausible, but they miss the key condition.

Q66. What is the primary purpose of a planner?

A. A component that produces a sequence of steps before execution. B. A retry mechanism for failed calls. C. A token counter. D. A logging sink for tool calls.

Select an answer to check.

Answer: A component that produces a sequence of steps before execution.

Here, A component that produces a sequence of steps before execution. is the right choice. Planners decompose goals into actionable steps. It fits the requirement in the prompt about what is the primary purpose of a planner. Competing choices sound plausible, but they miss the key condition.

Q67. Which statement about a planner is most accurate?

A. A retry mechanism for failed calls. B. A token counter. C. A component that produces a sequence of steps before execution. D. A logging sink for tool calls.

Select an answer to check.

Answer: A component that produces a sequence of steps before execution.

In this case, A component that produces a sequence of steps before execution. is correct. Planners decompose goals into actionable steps. It fits the requirement in the prompt about which statement about a planner is most accurate. Competing choices sound plausible, but they miss the key condition.

Q68. How is a planner best characterized?

A. A component that produces a sequence of steps before execution. B. A logging sink for tool calls. C. A retry mechanism for failed calls. D. A token counter.

Select an answer to check.

Answer: A component that produces a sequence of steps before execution.

The best option here is A component that produces a sequence of steps before execution.. Planners decompose goals into actionable steps. It fits the requirement in the prompt about how is a planner best characterized. Competing choices sound plausible, but they miss the key condition.

Q69. Which option best describes an executor in agentic AI?

A. A tokenizer. B. A prompt template engine. C. A component that runs planned steps and handles results/errors. D. A pre-training optimizer.

Select an answer to check.

Answer: A component that runs planned steps and handles results/errors.

For this question, A component that runs planned steps and handles results/errors. is correct. Executors enact plans against tools and the environment. It fits the requirement in the prompt about which option best describes an executor in agentic. Competing choices sound plausible, but they miss the key condition.

Q70. What is the primary purpose of an executor?

A. A component that runs planned steps and handles results/errors. B. A prompt template engine. C. A tokenizer. D. A pre-training optimizer.

Select an answer to check.

Answer: A component that runs planned steps and handles results/errors.

A component that runs planned steps and handles results/errors. is the correct answer here. Executors enact plans against tools and the environment. It fits the requirement in the prompt about what is the primary purpose of an executor. Competing choices sound plausible, but they miss the key condition.

Q71. Which statement about an executor is most accurate?

A. A prompt template engine. B. A component that runs planned steps and handles results/errors. C. A tokenizer. D. A pre-training optimizer.

Select an answer to check.

Answer: A component that runs planned steps and handles results/errors.

Here, A component that runs planned steps and handles results/errors. is the right choice. Executors enact plans against tools and the environment. This is the most accurate statement for which statement about an executor is most accurate. Competing choices sound plausible, but they miss the key condition.

Q72. How is an executor best characterized?

A. A pre-training optimizer. B. A prompt template engine. C. A tokenizer. D. A component that runs planned steps and handles results/errors.

Select an answer to check.

Answer: A component that runs planned steps and handles results/errors.

In this case, A component that runs planned steps and handles results/errors. is correct. Executors enact plans against tools and the environment. This is the most accurate statement for how is an executor best characterized. Competing choices sound plausible, but they miss the key condition.

Q73. Which option best describes autonomy in agents in agentic AI?

A. The number of GPUs available. B. The degree to which an agent acts without human intervention. C. The model's parameter count. D. The bandwidth of the API.

Select an answer to check.

Answer: The degree to which an agent acts without human intervention.

The best option here is The degree to which an agent acts without human intervention.. Autonomy ranges from suggestion-only to fully autonomous. This is the most accurate statement for which option best describes autonomy in agents in. Competing choices sound plausible, but they miss the key condition.

Q74. What is the primary purpose of autonomy in agents?

A. The degree to which an agent acts without human intervention. B. The bandwidth of the API. C. The model's parameter count. D. The number of GPUs available.

Select an answer to check.

Answer: The degree to which an agent acts without human intervention.

For this question, The degree to which an agent acts without human intervention. is correct. Autonomy ranges from suggestion-only to fully autonomous. This is the most accurate statement for what is the primary purpose of autonomy in. Competing choices sound plausible, but they miss the key condition.

Q75. Which statement about autonomy in agents is most accurate?

A. The bandwidth of the API. B. The model's parameter count. C. The number of GPUs available. D. The degree to which an agent acts without human intervention.

Select an answer to check.

Answer: The degree to which an agent acts without human intervention.

The degree to which an agent acts without human intervention. is the correct answer here. Autonomy ranges from suggestion-only to fully autonomous. This is the most accurate statement for which statement about autonomy in agents is most. Competing choices sound plausible, but they miss the key condition.

Q76. How is autonomy in agents best characterized?

A. The model's parameter count. B. The degree to which an agent acts without human intervention. C. The bandwidth of the API. D. The number of GPUs available.

Select an answer to check.

Answer: The degree to which an agent acts without human intervention.

Here, The degree to which an agent acts without human intervention. is the right choice. Autonomy ranges from suggestion-only to fully autonomous. It aligns directly with what the question asks about how is autonomy in agents best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q77. Which option best describes hallucination in agentic AI?

A. Model output that is fluent but factually unsupported by evidence. B. A correctly grounded answer with citations. C. A network timeout error. D. A model crash due to OOM.

Select an answer to check.

Answer: Model output that is fluent but factually unsupported by evidence.

In this case, Model output that is fluent but factually unsupported by evidence. is correct. Mitigated via grounding, retrieval, and verification. It aligns directly with what the question asks about which option best describes hallucination in agentic ai. The remaining choices fail because they don’t satisfy the full definition.

Q78. What is the primary purpose of hallucination?

A. Model output that is fluent but factually unsupported by evidence. B. A model crash due to OOM. C. A network timeout error. D. A correctly grounded answer with citations.

Select an answer to check.

Answer: Model output that is fluent but factually unsupported by evidence.

The best option here is Model output that is fluent but factually unsupported by evidence.. Mitigated via grounding, retrieval, and verification. It aligns directly with what the question asks about what is the primary purpose of hallucination. The remaining choices fail because they don’t satisfy the full definition.

Q79. Which statement about hallucination is most accurate?

A. Model output that is fluent but factually unsupported by evidence. B. A model crash due to OOM. C. A correctly grounded answer with citations. D. A network timeout error.

Select an answer to check.

Answer: Model output that is fluent but factually unsupported by evidence.

For this question, Model output that is fluent but factually unsupported by evidence. is correct. Mitigated via grounding, retrieval, and verification. It aligns directly with what the question asks about which statement about hallucination is most accurate. The remaining choices fail because they don’t satisfy the full definition.

Q80. How is hallucination best characterized?

A. A correctly grounded answer with citations. B. Model output that is fluent but factually unsupported by evidence. C. A network timeout error. D. A model crash due to OOM.

Select an answer to check.

Answer: Model output that is fluent but factually unsupported by evidence.

Model output that is fluent but factually unsupported by evidence. is the correct answer here. Mitigated via grounding, retrieval, and verification. It aligns directly with what the question asks about how is hallucination best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q81. Which option best describes guardrails in agentic AI?

A. Policies and validators that constrain agent inputs/outputs. B. Compression of long contexts. C. An autoscaling rule for replicas. D. A retry queue.

Select an answer to check.

Answer: Policies and validators that constrain agent inputs/outputs.

Here, Policies and validators that constrain agent inputs/outputs. is the right choice. Guardrails reduce risky or non-compliant behavior. This matches the core idea being tested around which option best describes guardrails in agentic ai. The remaining choices fail because they don’t satisfy the full definition.

Q82. What is the primary purpose of guardrails?

A. A retry queue. B. Policies and validators that constrain agent inputs/outputs. C. An autoscaling rule for replicas. D. Compression of long contexts.

Select an answer to check.

Answer: Policies and validators that constrain agent inputs/outputs.

In this case, Policies and validators that constrain agent inputs/outputs. is correct. Guardrails reduce risky or non-compliant behavior. This matches the core idea being tested around what is the primary purpose of guardrails. The remaining choices fail because they don’t satisfy the full definition.

Q83. Which statement about guardrails is most accurate?

A. Policies and validators that constrain agent inputs/outputs. B. A retry queue. C. Compression of long contexts. D. An autoscaling rule for replicas.

Select an answer to check.

Answer: Policies and validators that constrain agent inputs/outputs.

The best option here is Policies and validators that constrain agent inputs/outputs.. Guardrails reduce risky or non-compliant behavior. This matches the core idea being tested around which statement about guardrails is most accurate. The remaining choices fail because they don’t satisfy the full definition.

Q84. How is guardrails best characterized?

A. Policies and validators that constrain agent inputs/outputs. B. An autoscaling rule for replicas. C. Compression of long contexts. D. A retry queue.

Select an answer to check.

Answer: Policies and validators that constrain agent inputs/outputs.

For this question, Policies and validators that constrain agent inputs/outputs. is correct. Guardrails reduce risky or non-compliant behavior. This matches the core idea being tested around how is guardrails best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q85. Which option best describes tool selection in agentic AI?

A. Setting the temperature. B. Choosing the cheapest model. C. Sharding the vector store. D. Choosing the right tool for the current sub-task.

Select an answer to check.

Answer: Choosing the right tool for the current sub-task.

Choosing the right tool for the current sub-task. is the correct answer here. Good selection improves accuracy and reduces cost. This matches the core idea being tested around which option best describes tool selection in agentic. The remaining choices fail because they don’t satisfy the full definition.

Q86. What is the primary purpose of tool selection?

A. Setting the temperature. B. Sharding the vector store. C. Choosing the cheapest model. D. Choosing the right tool for the current sub-task.

Select an answer to check.

Answer: Choosing the right tool for the current sub-task.

Here, Choosing the right tool for the current sub-task. is the right choice. Good selection improves accuracy and reduces cost. That is exactly the concept behind what is the primary purpose of tool selection in this context. The remaining choices fail because they don’t satisfy the full definition.

Q87. Which statement about tool selection is most accurate?

A. Choosing the right tool for the current sub-task. B. Choosing the cheapest model. C. Setting the temperature. D. Sharding the vector store.

Select an answer to check.

Answer: Choosing the right tool for the current sub-task.

In this case, Choosing the right tool for the current sub-task. is correct. Good selection improves accuracy and reduces cost. That is exactly the concept behind which statement about tool selection is most accurate in this context. The remaining choices fail because they don’t satisfy the full definition.

Q88. How is tool selection best characterized?

A. Choosing the cheapest model. B. Setting the temperature. C. Sharding the vector store. D. Choosing the right tool for the current sub-task.

Select an answer to check.

Answer: Choosing the right tool for the current sub-task.

The best option here is Choosing the right tool for the current sub-task.. Good selection improves accuracy and reduces cost. That is exactly the concept behind how is tool selection best characterized in this context. The remaining choices fail because they don’t satisfy the full definition.

Q89. Which option best describes an agent trajectory in agentic AI?

A. A model's training curve. B. An A/B test result. C. A schema migration history. D. The full sequence of thoughts, actions, and observations during a run.

Select an answer to check.

Answer: The full sequence of thoughts, actions, and observations during a run.

For this question, The full sequence of thoughts, actions, and observations during a run. is correct. Trajectories are key telemetry for debugging and eval. That is exactly the concept behind which option best describes an agent trajectory in in this context. The remaining choices fail because they don’t satisfy the full definition.

Q90. What is the primary purpose of an agent trajectory?

A. An A/B test result. B. A schema migration history. C. A model's training curve. D. The full sequence of thoughts, actions, and observations during a run.

Select an answer to check.

Answer: The full sequence of thoughts, actions, and observations during a run.

The full sequence of thoughts, actions, and observations during a run. is the correct answer here. Trajectories are key telemetry for debugging and eval. That is exactly the concept behind what is the primary purpose of an agent in this context. The remaining choices fail because they don’t satisfy the full definition.

Q91. Which statement about an agent trajectory is most accurate?

A. The full sequence of thoughts, actions, and observations during a run. B. A schema migration history. C. A model's training curve. D. An A/B test result.

Select an answer to check.

Answer: The full sequence of thoughts, actions, and observations during a run.

Here, The full sequence of thoughts, actions, and observations during a run. is the right choice. Trajectories are key telemetry for debugging and eval. It fits the requirement in the prompt about which statement about an agent trajectory is most. The remaining choices fail because they don’t satisfy the full definition.

Q92. How is an agent trajectory best characterized?

A. A model's training curve. B. The full sequence of thoughts, actions, and observations during a run. C. An A/B test result. D. A schema migration history.

Select an answer to check.

Answer: The full sequence of thoughts, actions, and observations during a run.

In this case, The full sequence of thoughts, actions, and observations during a run. is correct. Trajectories are key telemetry for debugging and eval. It fits the requirement in the prompt about how is an agent trajectory best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q93. Which option best describes a deterministic seed in agentic AI?

A. An auth token. B. A value that makes sampling reproducible across runs. C. A unique session identifier. D. A user-id hash.

Select an answer to check.

Answer: A value that makes sampling reproducible across runs.

The best option here is A value that makes sampling reproducible across runs.. Seeds aid reproducible testing of stochastic models. It fits the requirement in the prompt about which option best describes a deterministic seed in. The remaining choices fail because they don’t satisfy the full definition.

Q94. What is the primary purpose of a deterministic seed?

A. A user-id hash. B. A unique session identifier. C. A value that makes sampling reproducible across runs. D. An auth token.

Select an answer to check.

Answer: A value that makes sampling reproducible across runs.

For this question, A value that makes sampling reproducible across runs. is correct. Seeds aid reproducible testing of stochastic models. It fits the requirement in the prompt about what is the primary purpose of a deterministic. The remaining choices fail because they don’t satisfy the full definition.

Q95. Which statement about a deterministic seed is most accurate?

A. A user-id hash. B. A unique session identifier. C. An auth token. D. A value that makes sampling reproducible across runs.

Select an answer to check.

Answer: A value that makes sampling reproducible across runs.

A value that makes sampling reproducible across runs. is the correct answer here. Seeds aid reproducible testing of stochastic models. It fits the requirement in the prompt about which statement about a deterministic seed is most. The remaining choices fail because they don’t satisfy the full definition.

Q96. How is a deterministic seed best characterized?

A. A user-id hash. B. A unique session identifier. C. A value that makes sampling reproducible across runs. D. An auth token.

Select an answer to check.

Answer: A value that makes sampling reproducible across runs.

Here, A value that makes sampling reproducible across runs. is the right choice. Seeds aid reproducible testing of stochastic models. This is the most accurate statement for how is a deterministic seed best characterized. The remaining choices fail because they don’t satisfy the full definition.

Q97. Which option best describes max-iterations in agentic AI?

A. A timeout on each tool call. B. An upper bound on the number of agent loop steps. C. A cap on tokens per response. D. A retry count for HTTP calls.

Select an answer to check.

Answer: An upper bound on the number of agent loop steps.

In this case, An upper bound on the number of agent loop steps. is correct. Bounds the loop to prevent runaway costs/loops. This is the most accurate statement for which option best describes max-iterations in agentic ai. The remaining choices fail because they don’t satisfy the full definition.

Q98. What is the primary purpose of max-iterations?

A. A timeout on each tool call. B. A cap on tokens per response. C. A retry count for HTTP calls. D. An upper bound on the number of agent loop steps.

Select an answer to check.

Answer: An upper bound on the number of agent loop steps.

The best option here is An upper bound on the number of agent loop steps.. Bounds the loop to prevent runaway costs/loops. This is the most accurate statement for what is the primary purpose of max-iterations. The remaining choices fail because they don’t satisfy the full definition.

Q99. Which statement about max-iterations is most accurate?

A. A timeout on each tool call. B. A cap on tokens per response. C. A retry count for HTTP calls. D. An upper bound on the number of agent loop steps.

Select an answer to check.

Answer: An upper bound on the number of agent loop steps.

For this question, An upper bound on the number of agent loop steps. is correct. Bounds the loop to prevent runaway costs/loops. This is the most accurate statement for which statement about max-iterations is most accurate. The remaining choices fail because they don’t satisfy the full definition.

Q100. How is max-iterations best characterized?

A. An upper bound on the number of agent loop steps. B. A timeout on each tool call. C. A retry count for HTTP calls. D. A cap on tokens per response.

Select an answer to check.

Answer: An upper bound on the number of agent loop steps.

An upper bound on the number of agent loop steps. is the correct answer here. Bounds the loop to prevent runaway costs/loops. This is the most accurate statement for how is max-iterations best characterized. The remaining choices fail because they don’t satisfy the full definition.