AIP-C01 Quick Quiz — 10 Questions

Question 1

Which TWO steps are required to properly secure Bedrock Knowledge Bases?

Accepted Answer

Use IAM roles for the Knowledge Base to access data. Enabling encryption and managing IAM access are the primary security configurations.

Answer

Disable all encryption to increase performance

Answer

Place the Knowledge Base in a public subnet

Answer

Grant public read access to the S3 bucket

Question 2

Which AWS service is used to monitor and log the prompts sent to an Amazon Bedrock model for auditing purposes?

Accepted Answer

AWS CloudTrail. AWS CloudTrail logs all API calls made to Amazon Bedrock, providing the necessary audit trail for prompt usage.

Answer

AWS Config

Answer

Amazon Macie

Answer

Amazon CloudWatch Logs

Question 3

What is the role of an AWS Service Control Policy (SCP) in an AI governance framework?

Accepted Answer

To enforce organizational compliance and restrict service access. SCPs provide centralized guardrails to define the maximum permissions that can be granted to IAM roles across all accounts in an organization.

Answer

To store model weights securely

Answer

To automatically optimize model latency

Answer

To monitor user chat history

Question 4

You are designing a secure Generative AI architecture on AWS. Which TWO of the following are recommended practices for securing the data ingestion pipeline for RAG?

Accepted Answer

Enforce TLS 1.2+ for all data movement. Encrypting data in transit (TLS) and at rest (KMS) are fundamental for data pipeline security.

Answer

Disable all logging in the pipeline to prevent data exposure

Answer

Store API keys in plain text within the Lambda code

Answer

Store all documents in a public S3 bucket for ease of access

Question 5

When using the Amazon Bedrock Converse API, which parameter enables the model to perform tool use by providing a definition of available functions?

Accepted Answer

toolConfig. The tools parameter in the Converse API allows you to define a list of tools for the model to use.

Answer

inferenceConfig

Answer

system

Answer

additionalModelRequestFields

Question 6

When troubleshooting a SageMaker endpoint that consistently returns 503 Service Unavailable errors, which THREE areas should you investigate?

Accepted Answer

Instance memory usage. 503s typically point to capacity limits, health check failures, or resource exhaustion (memory/GPU).

Answer

IAM role permissions

Answer

Input JSON schema validation

Question 7

Which AWS tool is used to monitor the performance and latency of an application calling Bedrock?

Accepted Answer

Amazon CloudWatch. Amazon CloudWatch provides metrics for request latency, invocation count, and errors for Bedrock models.

Answer

Amazon Inspector

Answer

AWS CloudTrail

Answer

AWS Config

Question 8

An organization wants to use a model that supports both text and image input. Which family of foundation models should they select in Amazon Bedrock?

Accepted Answer

Claude 3 Sonnet. Amazon Bedrock supports multi-modal models like Claude 3 Sonnet and Claude 3 Opus which handle both text and images.

Answer

Amazon Titan Text Express

Answer

Jurassic-2 Mid

Answer

Cohere Command R

Question 9

A developer is optimizing a RAG solution for a legal firm. The documents are highly dense and technical. Which chunking strategy in Amazon Bedrock Knowledge Bases provides the best balance of retrieval accuracy?

Accepted Answer

Hierarchical chunking.. Hierarchical chunking is designed for complex documents by creating parent and child chunks, which helps maintain context during retrieval.

Answer

Semantic chunking based on paragraph breaks.

Answer

Fixed-size chunking with 100 token overlap.

Answer

Default chunking strategy.

Question 10

A developer wants to choose a foundation model in Amazon Bedrock that offers the best balance of reasoning capability and latency for a customer support chatbot. Which tool should the developer use to evaluate models?

Accepted Answer

Bedrock Model Evaluation jobs.. The Bedrock Model Evaluation service allows developers to compare model performance using automated and human-in-the-loop metrics.

Answer

Amazon CloudWatch Metrics for Bedrock.

Answer

AWS Glue DataBrew.

Answer

Amazon SageMaker Model Monitor.