In the context of AI agents, what does a data mapping definition typically specify?

The relationship between a source field (e.g., 'customer_id') and a target field (e.g., 'custID').

The order in which the agent should execute its internal functions.

The maximum number of records the agent can process in a single run.

The encryption algorithm used to secure the data in transit.

A telecom AI agent predicts customer churn. The dataset has a 'contract_type' field with values 'Month-to-month', 'One year', 'Two year', and also contains some blank entries. The model requires a categorical input with no missing values. The pipeline must handle the blanks without introducing bias. Which approach is most appropriate?

Impute blanks with the mode (most frequent value)

Treat blanks as a new category 'Unknown'

Drop all rows with blank 'contract_type'

CiscoAI Technical Practitioner

Domain 6Objective 5

6.5 Describe Data Transformation and Mapping Within AI Agents AI-TECHNICAL-PRACTITIONER Practice Questions (Page 3)

Part of the Agentic AI domain, which accounts for 20% of the AI-TECHNICAL-PRACTITIONER exam. Cisco does not publish an official question count, but from its 60-minute exam (~25–40 total, ~5–8 in this domain), expect 1–2 from this objective — we provide 25 practice questions to prepare you well beyond it. (estimate)

25questions here

5free pages

6concepts

20%of the exam

Questions 11–15

11foundation · easy
In the context of AI agents, what does a data mapping definition typically specify?
Select an answer first
12application · medium
A marketing AI agent analyzes customer feedback. The 'feedback_text' field contains free-form comments, and the agent needs to categorize each comment as 'positive', 'neutral', or 'negative' for sentiment analysis. Which transformation technique should be applied to the text data before the agent's classification model processes it?
Select an answer first
13foundation · easy
Which mapping strategy involves copying a source field directly to a target field without any modification?
Select an answer first
14expert · hard
A telecom AI agent predicts customer churn. The dataset has a 'contract_type' field with values 'Month-to-month', 'One year', 'Two year', and also contains some blank entries. The model requires a categorical input with no missing values. The pipeline must handle the blanks without introducing bias. Which approach is most appropriate?
Select an answer first
15application · medium
A logistics AI agent ingests shipment data from a partner API. The API uses 'recipient_address' as a single string, but the agent's internal schema requires separate 'street', 'city', 'state', and 'zip' fields. The field names otherwise match exactly. Which mapping strategy should the agent use?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to AI-TECHNICAL-PRACTITIONER

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by Cisco. “AI-TECHNICAL-PRACTITIONER” is a trademark of its owner, used for identification only.

6.5 Describe Data Transformation and Mapping Within AI Agents AI-TECHNICAL-PRACTITIONER Practice Questions (Page 3)

Questions 11–15

In the context of AI agents, what does a data mapping definition typically specify?

Which mapping strategy involves copying a source field directly to a target field without any modification?

A logistics AI agent ingests shipment data from a partner API. The API uses 'recipient_address' as a single string, but the agent's internal schema requires separate 'street', 'city', 'state', and 'zip' fields. The field names otherwise match exactly. Which mapping strategy should the agent use?

Keep studying — Agentic AI