AIF-C01 Fundamentals of Generative AI — All Questions With Answers

Refer to the exhibit.

```
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": "bedrock:InvokeModel",
      "Resource": "arn:aws:bedrock:us-east-1:123456789012:model/anthropic.claude-v2"
    },
    {
      "Effect": "Deny",
      "Action": "bedrock:InvokeModel",
      "Resource": "arn:aws:bedrock:us-east-1:123456789012:model/anthropic.claude-v2",
      "Condition": {
        "StringNotEquals": {
          "aws:RequestedRegion": "us-east-1"
        }
      }
    }
  ]
}
```

Refer to the exhibit.

```
{
  "modelId": "amazon.titan-text-lite-v1",
  "contentType": "application/json",
  "accept": "application/json",
  "body": {
    "inputText": "Summarize the following meeting notes: ...",
    "textGenerationConfig": {
      "maxTokenCount": 100,
      "stopSequences": [],
      "temperature": 0,
      "topP": 0.9
    }
  }
}
```

Refer to the exhibit.
```json
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": "bedrock:InvokeModel",
      "Resource": "arn:aws:bedrock:us-east-1::foundation-model/anthropic.claude-v2"
    }
  ]
}
```

Refer to the exhibit.
```yaml
Resources:
  MyGuardrail:
    Type: AWS::Bedrock::Guardrail
    Properties:
      Name: my-guardrail
      TopicPolicy:
        Topics:
          - Name: sensitive-topic
            Definition: "Do not discuss sensitive topics."
            Type: DENY
      ContentPolicy:
        Filters:
          - Type: SEXUAL
            InputStrength: HIGH
            OutputStrength: HIGH
```

aws bedrock-runtime invoke-model \
  --model-id anthropic.claude-v2 \
  --body '{"prompt":"\n\nHuman: Summarize the following text: ...\n\nAssistant:","max_tokens_to_sample":200}' \
  --cli-binary-format raw-in-base64-out \
  --region us-east-1 \
  output.json

The output.json file contains:
{"completion": " The summary is...", "stop_reason": "stop_sequence"}

AWS CloudFormation template snippet:
Resources:
  BedrockKnowledgeBase:
    Type: AWS::Bedrock::KnowledgeBase
    Properties:
      Name: support-kb
      RoleArn: arn:aws:iam::123456789012:role/BedrockKnowledgeBaseRole
      KnowledgeBaseConfiguration:
        Type: VECTOR
        VectorKnowledgeBaseConfiguration:
          EmbeddingModelArn: arn:aws:bedrock:us-east-1::foundation-model/amazon.titan-embed-text-v1
      StorageConfiguration:
        Type: OPENSEARCH_SERVERLESS
        OpensearchServerlessConfiguration:
          CollectionArn: arn:aws:aoss:us-east-1:123456789012:collection/abc123
          FieldMapping:
            MetadataField: metadata
            TextField: text
  DataSource:
    Type: AWS::Bedrock::DataSource
    Properties:
      KnowledgeBaseId: !Ref BedrockKnowledgeBase
      Name: s3-source
      DataSourceConfiguration:
        Type: S3
        S3Configuration:
          BucketArn: arn:aws:s3:::my-docs-bucket
      VectorIngestionConfiguration:
        ChunkingConfiguration:
          ChunkingStrategy: FIXED_SIZE

Error log from Amazon Bedrock:
{
  "error": "AccessDeniedException",
  "message": "User: arn:aws:iam::123456789012:role/MyAppRole is not authorized to perform: bedrock:InvokeModel on resource: arn:aws:bedrock:us-east-1::foundation-model/anthropic.claude-instant-v1"
}

Refer to the exhibit.

Exhibit:
```
{
  "outputText": "The quick brown fox...",
  "stopReason": "max_tokens"
}
```

Refer to the exhibit.

Exhibit:
```json
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": "bedrock:InvokeModel",
      "Resource": "arn:aws:bedrock:us-east-1:123456789012:model/anthropic.claude-v2",
      "Condition": {
        "IpAddress": {"aws:SourceIp": "10.0.0.0/8"}
      }
    }
  ]
}
```

Refer to the exhibit.

Exhibit:
```json
"KnowledgeBaseConfiguration": {
  "type": "SEMANTIC",
  "vectorKnowledgeBaseConfiguration": {
    "embeddingModelArn": "arn:aws:bedrock:us-east-1::foundation-model/amazon.titan-embed-text-v1"
  }
}
```

{
  "eventTime": "2024-03-15T12:00:00Z",
  "eventSource": "bedrock.amazonaws.com",
  "eventName": "InvokeModel",
  "requestParameters": {
    "modelId": "anthropic.claude-v2",
    "body": "{\"prompt\":\"Human: ...\",\"max_tokens\":500}",
    "inferenceType": "PROVISIONED"
  },
  "responseElements": {},
  "errorCode": "ThrottlingException",
  "errorMessage": "Rate exceeded"
}

A SageMaker notebook cell output:
"Model size: 7B parameters\nInference time on ml.g5.2xlarge: 250ms per token\nBatch size: 1\nMemory utilization: 90%"

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": "bedrock:InvokeModel",
            "Resource": "arn:aws:bedrock:us-east-1::foundation-model/amazon.titan-text-lite-v1"
        }
    ]
}