Free AIF-C01 Exam Braindumps
AWS Certified AI Practitioner Questions 166–170 (page: 35)

Updated On: 1-Oct-2026

A company wants to use generative AI to increase developer productivity and software development. The company wants to use Amazon Q Developer.
What can Amazon Q Developer do to help the company meet these requirements?

  1. Create software snippets, reference tracking, and open source license tracking.
  2. Run an application without provisioning or managing servers.
  3. Enable voice commands for coding and providing natural language search.
  4. Convert audio files to text documents by using ML models.

Answer(s): A

Explanation:

Amazon Q Developer is designed to assist developers by generating software snippets, tracking references,
and managing open source licenses, which aligns with the company's goal of increasing productivity in software development. The other options do not match the intended use of Amazon Q Developer.



A company acquires International Organization for Standardization (ISO) accreditation to manage AI risks and to use AI responsibly.
What does this accreditation reflect about the company?

  1. All members of the company are ISO certified.
  2. All AI systems that the company uses are ISO certified.
  3. All AI application team members are ISO certified.
  4. The company’s development framework is ISO certified.

Answer(s): D

Explanation:

ISO accreditation for managing AI risks means that the company’s development processes, controls, and frameworks for AI are certified to meet ISO standards. It does not certify individual employees or AI systems,
but rather the organizational framework and practices.



An ecommerce company wants to group customers based on their purchase history and preferences to personalize the user experience of the company's application.
Which ML technique should the company use?

  1. Classification
  2. Clustering
  3. Regression
  4. Content generation

Answer(s): B

Explanation:

Clustering is an unsupervised learning technique that automatically groups data points - in this case, customers with similar purchase histories and preferences - into segments without needing predefined labels, enabling personalized experiences.



A company wants to use a large language model (LLM) to develop a conversational agent. The company needs to prevent the LLM from being manipulated with common prompt engineering techniques to perform undesirable actions or expose sensitive information.
Which action will reduce these risks?

  1. Create a prompt template that teaches the LLM to detect attack patterns.
  2. Increase the temperature parameter on invocation requests to the LLM.
  3. Avoid using LLMs that are not listed in Amazon SageMaker.
  4. Decrease the number of input tokens on invocations of the LLM.

Answer(s): A

Explanation:

Creating a prompt template that helps the LLM detect common attack patterns can reduce the risk of prompt injection and other undesirable manipulations. The other options do not effectively address the risk of prompt manipulation or unauthorized use.



A generative AI application is generating incorrect information.
Which term describes this issue?

  1. Model drift
  2. Concept drift
  3. Data leakage
  4. Hallucination

Answer(s): D

Explanation:

Hallucination occurs when a generative AI model produces information that is incorrect, fabricated, or unsupported while presenting it as plausible or factual.



Viewing page 35 of 108
Viewing questions 273 - 280 out of 571 questions


Post your Comments and Discuss Amazon AIF-C01 exam prep with other Community members:

AI Tutor AI Tutor 👋 I’m here to help!