AIP-C01 Implementation And Integration — 30 Questions

Question 1

You are optimizing a prompt for a Large Language Model to improve reasoning capabilities. Which TWO techniques are most effective for improving zero-shot performance?

Accepted Answer

Persona adoption. Chain-of-thought and persona adoption are industry-standard techniques for improving zero-shot reasoning.

Answer

Embedding the prompt in a Knowledge Base

Answer

Few-shot prompting

Answer

Increasing temperature to 1.0

Question 2

Which Bedrock API operation is the recommended unified interface to stream responses from multiple foundation models?

Accepted Answer

Converse. The Converse API is designed as a unified, consistent API for interacting with various models in Bedrock.

Answer

GetFoundationModel

Answer

ListFoundationModels

Answer

InvokeModel

Question 3

You are using SageMaker JumpStart to deploy a text-generation model. Which THREE deployment configurations are mandatory when setting up the Endpoint Configuration?

Accepted Answer

Instance Type. Instance type, variant name, and model name are essential to define the endpoint configuration.

Answer

Spot Instance Configuration

Answer

Auto-scaling policy

Question 4

Which THREE of the following are valid ways to configure inference parameters in Bedrock?

Accepted Answer

Passing parameters in the InvokeModel request body. Parameters can be passed directly in InvokeModel, managed via Prompt Management, or set as default configurations.

Answer

Directly editing the Bedrock service binary

Answer

Configuring them inside the model's training script

Question 5

You are deploying a custom model via SageMaker. Which THREE items must be present in the model package (.tar.gz) for successful deployment?

Accepted Answer

requirements.txt. Custom models require the model artifacts, inference code, and the requirements.txt file.

Answer

SSH private key

Answer

Training dataset

Question 6

You want to automate the ingestion of new PDF files added to an S3 bucket into a Bedrock Knowledge Base. What is the most efficient design?

Accepted Answer

Use an S3 Event Notification to trigger a Lambda function that calls StartIngestionJob. Using an EventBridge rule to trigger a Lambda function that calls the Bedrock Knowledge Base sync API is the standard event-driven approach.

Answer

Schedule a daily batch cron job

Answer

Use AWS Glue to ETL the data directly to the vector store

Answer

Manually update the Knowledge Base via the console

Question 7

Which THREE configuration parameters are standard in a SageMaker JumpStart inference request?

Accepted Answer

inputs. Standard inference payloads typically require inputs, temperature, and max_tokens.

Answer

model_owner

Answer

S3_output_path

Question 8

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 9

You are deploying a model from SageMaker JumpStart. You need to ensure that the model inference container has access to private VPC resources. What must you configure?

Accepted Answer

Configure Subnets and Security Groups in the Model creation. You must configure the VPC settings (Subnets and Security Groups) in the SageMaker Model configuration to allow network access.

Answer

Set the IAM role to 'AdministratorAccess'

Answer

Update the JumpStart model Dockerfile

Answer

Enable AWS PrivateLink on the S3 bucket

Question 10

You are designing an Agentic AI solution using Bedrock Agents. Which THREE components must you configure to enable the agent to interact with an external API?

Accepted Answer

Action Group. Agents require an action group, an OpenAPI schema, and an associated Lambda function to execute the logic.

Answer

Knowledge Base

Answer

Guardrail

Question 11

When using Bedrock Knowledge Bases, which vector database is integrated natively to support managed RAG workflows?

Accepted Answer

Amazon OpenSearch Serverless. Amazon OpenSearch Serverless is the native vector store integration for Bedrock Knowledge Bases.

Answer

Amazon DynamoDB

Answer

Amazon ElastiCache

Answer

Amazon RDS for PostgreSQL

Question 12

You are integrating a SageMaker JumpStart model via the InvokeEndpoint API. The model is failing to process images due to a schema mismatch. Which format does the JumpStart image input expect by default for standard vision models?

Accepted Answer

Base64 encoded string in the JSON input field. JumpStart vision models typically expect the image to be base64 encoded within the JSON payload.

Answer

A URL pointing to an S3 object

Answer

Multi-part form data

Answer

Raw binary stream in the request body

Question 13

An application uses Amazon Bedrock InvokeModel to generate text. You notice that the output length is consistently truncated. Which parameter should you adjust to ensure the full response is captured?

Accepted Answer

Increase the max_tokens parameter. The max_tokens (or max_gen_len) parameter limits the number of tokens in the generated output. Increasing this allows for longer responses.

Answer

Increase the temperature parameter

Answer

Increase the top_p parameter

Answer

Decrease the stop_sequences parameter

Question 14

You are implementing a Bedrock Guardrail. You need to ensure the model filters out specific PII (Personally Identifiable Information). Which capability should be configured?

Accepted Answer

Sensitive Information Filter. Sensitive Information Filters within Guardrails allow the blocking of PII such as emails and social security numbers.

Answer

Content Filter

Answer

Denied Topics

Answer

Word Policy

Question 15

Which TWO metrics are natively available in Amazon CloudWatch for monitoring Bedrock model invocation performance?

Accepted Answer

InvocationLatency. InvocationLatency and InvocationClientErrors are standard metrics provided for Bedrock in CloudWatch.

Answer

VectorEmbeddingAccuracy

Answer

GPUUtilization

Answer

ModelTrainingLoss

Question 16

When using the Bedrock Converse API, which object allows you to maintain context across multiple turns of a conversation?

Accepted Answer

messages. The messages array contains the chat history (user and assistant turns) needed to maintain state.

Answer

inferenceConfig

Answer

additionalModelRequestFields

Answer

system

Question 17

In the context of Bedrock Agents, what is the purpose of the 'Instruction' field in the agent configuration?

Accepted Answer

It serves as the system prompt to define the agent's behavior. The instruction field serves as the system prompt that defines the agent's persona and objective.

Answer

It defines the Knowledge Base search parameters

Answer

It stores user credentials for the API

Answer

It contains the list of API definitions

Question 18

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 19

You are designing a RAG pipeline. Which step in the ingestion process is responsible for converting unstructured text into a numerical representation?

Accepted Answer

Embedding. Embedding is the process of converting text into numerical vectors that can be searched for semantic similarity.

Answer

Chunking

Answer

Indexing

Answer

Parsing

Question 20

You are building an agentic application. Which THREE of the following are valid ways for an agent to perform an action?

Accepted Answer

Invoking a Lambda function. Agents can execute Lambda functions, interact with Knowledge Bases, and return direct responses to users.

Answer

Directly modifying a database table without an API

Answer

Running a local Docker container