AIP-C01 Practice Test 2 — 30 Questions

Question 1

A company is building a RAG application using Amazon Bedrock and needs to ensure that sensitive PII is filtered out before it reaches the foundation model. Which feature should be used to achieve this?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Amazon Bedrock Guardrails. Amazon Bedrock Guardrails allows users to configure content filters, including PII redaction, to prevent sensitive information from being processed by or returned from foundation models.

Answer

AWS WAF on the Bedrock API endpoint

Answer

Amazon Macie on the S3 bucket housing the source data

Answer

AWS Glue DataBrew

Question 2

Which THREE items must be configured when setting up a new Knowledge Base in Amazon Bedrock?

Accepted Answer

Embedding model selection.. Embedding model, data source, and vector database are the three mandatory components for a Knowledge Base.

Answer

Model evaluation dataset.

Answer

External firewall rules.

Question 3

You are deploying a foundation model on Amazon SageMaker. To optimize inference costs for an application with unpredictable traffic patterns and significant idle periods, which deployment option should you select?

Accepted Answer

SageMaker Serverless Inference. Serverless Inference is the most cost-effective solution for unpredictable traffic as it eliminates the cost of idle instances by automatically scaling resources based on request volume.

Answer

Batch Transform

Answer

Real-time inference with provisioned Auto Scaling instances

Answer

Asynchronous Inference

Question 4

Which TWO types of models are generally available in Amazon Bedrock?

Accepted Answer

Embedding models.. Text generation models and embedding models are the two most common types available in Bedrock.

Answer

Network load balancer configurations.

Answer

Hardware drivers.

Answer

OS kernel images.

Question 5

What is the primary function of the Bedrock 'Model Invocation Logs'?

Accepted Answer

To capture and store prompt/response payloads for auditing.. These logs are used for auditing and debugging by capturing the request and response payloads.

Answer

To throttle incoming requests.

Answer

To perform real-time model retraining.

Answer

To reduce inference costs.

Question 6

Which service should be used to manage user access to Amazon Bedrock models?

Accepted Answer

AWS IAM.. AWS IAM (Identity and Access Management) is the service used to control access to AWS resources, including Bedrock APIs.

Answer

Amazon Route 53.

Answer

Amazon SageMaker.

Answer

AWS Glue.

Question 7

A company is designing a RAG architecture. Which TWO of the following steps are required to successfully link an Amazon S3 source to an Amazon Bedrock Knowledge Base?

Accepted Answer

Configure an IAM role with S3 read access for Bedrock. The process requires selecting the data source (S3) and specifying the embedding model to convert text to vectors.

Answer

Create a Glue Data Catalog for the S3 bucket

Answer

Enable AWS WAF on the S3 bucket

Answer

Create a Lambda function to split PDFs manually

Question 8

What is the primary role of an Embedding Model in a RAG pipeline?

Accepted Answer

To convert text into numerical vectors for semantic similarity search.. Embedding models convert text into numerical vectors that represent the semantic meaning of the content for vector search.

Answer

To act as a firewall for the RAG system.

Answer

To compress large files for storage.

Answer

To generate human-readable summaries.

Question 9

When should a developer choose to fine-tune a model versus using RAG?

Accepted Answer

When you need the model to learn a specific, consistent corporate tone.. RAG is best for grounding in changing data, while fine-tuning is better for changing the model's style, tone, or highly specialized domain language.

Answer

When you have very little data.

Answer

When you need to ensure the model does not hallucinate.

Answer

When the data changes daily.

Question 10

A security auditor requests a report on Bedrock usage. Which TWO of the following AWS services can be used to generate this report?

Accepted Answer

Amazon CloudWatch.. CloudTrail and CloudWatch are the primary services for auditing API usage and logging application events.

Answer

AWS CodePipeline.

Answer

AWS AppConfig.

Answer

AWS Trusted Advisor.

Question 11

When preparing data for a Knowledge Base, why is it recommended to remove PII?

Accepted Answer

To comply with data privacy policies and reduce risk.. Removing PII ensures that the vector index does not store sensitive information, minimizing the risk of data leakage.

Answer

To improve model inference speed.

Answer

Because the models cannot process numbers.

Answer

To reduce the file size.

Question 12

A developer is evaluating model performance for a specific task. Which THREE metrics are commonly used in the Bedrock Model Evaluation console?

Accepted Answer

Inference latency (time to first token).. Accuracy, latency, and toxicity are standard metrics provided in model evaluation frameworks.

Answer

S3 bucket storage size.

Answer

Number of active IAM roles.

Question 13

A company requires their AI to be available even if a regional outage occurs. How do they handle Bedrock model availability?

Accepted Answer

Implement application-level logic to switch regions for inference.. Cross-region inference is not supported by all models, so the application logic must handle failover between regions where the model is available.

Answer

Use an S3 bucket in every region.

Answer

Request a cross-region Bedrock endpoint from AWS Support.

Answer

Enable global AWS region auto-scaling.

Question 14

Which TWO of the following are valid ways to improve the relevance of retrieved documents in a RAG system?

Accepted Answer

Implement metadata filtering to narrow the search space.. Metadata filtering and choosing an optimal chunking strategy are key levers to improve retrieval accuracy.

Answer

Use a larger, more generic embedding model.

Answer

Increase the number of retrieved chunks to 1000.

Answer

Delete all indices and recreate them every hour.

Question 15

Which component in Amazon Bedrock is used to define the structure of the retrieved documents before they are fed into the model?

Accepted Answer

Chunking Strategy.. The 'Chunking Strategy' determines how documents are broken down and structured before being embedded and indexed.

Answer

Prompt Template.

Answer

Vector Database index settings.

Answer

IAM Policy.

Question 16

A developer is building a RAG system and wants to include document metadata in the search retrieval. How is this done?

Accepted Answer

By adding metadata files alongside the documents in S3 and using custom ingestion logic.. Metadata is attached to the chunks in the vector index. During query, the system can use the `filter` parameter to limit results.

Answer

By prepending the metadata to the prompt.

Answer

It is done automatically by the model.

Answer

It is not possible to use metadata in Bedrock RAG.

Question 17

A developer is configuring a RAG system and wants to ensure the model has access to the most recent data. How should they handle updates?

Accepted Answer

Perform a 'Sync' operation on the Knowledge Base.. The 'Sync' operation in Knowledge Bases should be triggered whenever the source data changes in S3 to update the index.

Answer

Wait for the Bedrock service to automatically detect changes.

Answer

Use a cron job to restart the inference engine.

Answer

Delete and recreate the knowledge base daily.

Question 18

Which of the following is NOT a benefit of using Amazon Bedrock?

Accepted Answer

Full control over the model's source code.. Bedrock is a managed service, so it does not require managing the infrastructure of the underlying foundation models.

Answer

Serverless architecture.

Answer

Access to multiple FM providers via a single API.

Answer

Data privacy and security controls.

Question 19

Which TWO of the following are supported as source data for Amazon Bedrock Knowledge Bases?

Accepted Answer

Atlassian Confluence.. S3 is the primary supported source, and Confluence is also natively supported as a data source.

Answer

Email server logs.

Answer

Social media live streams.

Answer

Local hard drive files.

Question 20

What is the primary benefit of using a 'System Prompt' in Bedrock?

Accepted Answer

To provide instructions that guide the model's behavior.. The system prompt sets the behavior and constraints for the model, ensuring consistent and safe interactions.

Answer

To bypass authentication.

Answer

To increase the model's speed.

Answer

To compress the input tokens.