AI Associate AI Fundamentals — All Questions With Answers

Refer to the exhibit.

```json
{
  "aiModel": {
    "type": "EinsteinPredictionService",
    "object": "Opportunity",
    "field": "Amount",
    "predictionField": "WinProbability",
    "trainingData": {
      "records": 5000,
      "features": ["Stage", "CloseDate", "Amount", "LeadSource"],
      "outcomeField": "IsWon"
    },
    "status": "TrainingComplete",
    "accuracy": 0.85
  }
}
```

Refer to the exhibit.

```
User: What is my order status?
Bot: I can help with order status. Please provide your order number.
User: I don't have it.
Bot: Sorry, I cannot proceed without an order number.
User: Can you look up by my email?
Bot: I cannot look up by email. Please contact support.
```

Refer to the exhibit.

{
  "type": "EinsteinNextBestAction",
  "recommendationStrategy": "Most Likely to Convert",
  "filters": {
    "object": "Lead",
    "field": "Status",
    "operator": "equals",
    "value": "Open"
  },
  "maxRecommendations": 5,
  "scoreThreshold": 70
}

{
  "predictionField": "Churn__c",
  "recordCount": 1500,
  "modelStatus": "Trained",
  "accuracy": 0.85,
  "auc": 0.72,
  "featuresUsed": ["UsageRate", "SupportTickets", "ContractLength", "Region"],
  "dataDrift": {
    "detected": true,
    "magnitude": 0.23
  }
}

# Salesforce CLI command output
$ sfdx force:data:record:get -s Object -i 001XX000003GJYp -u myOrg
{
  "attributes": {"type": "Account", "url": "/services/data/v55.0/sobjects/Account/001XX000003GJYp"},
  "Id": "001XX000003GJYp",
  "Name": "Acme Corp",
  "Einstein_Score__c": 78,
  "Einstein_Score_Confidence__c": 0.65,
  "Last_Scored_Date__c": "2024-10-15"
}

Error log from Einstein Activity Capture:
[2024-10-20 14:23:45] ERROR: Failed to capture email for contactId=003B0000007v4ZW.
Reason: 'Email address domain not associated with any connected email service.'
[2024-10-20 14:23:46] INFO: Skipping email from noreply@acme.org (domain acme.org not configured).
[2024-10-20 14:23:47] WARN: Email capture quota at 85% for user admin@mycompany.com.

{
  "groundingPolicy": {
    "dataSources": [
      {"type": "knowledgeArticle", "maxResults": 5},
      {"type": "productCatalog", "maxResults": 3}
    ],
    "fallbackBehavior": "USE_MODEL_KNOWLEDGE",
    "relevanceThreshold": 0.7
  }
}

Custom Model Configuration:
- Name: LeadScorer_v2
- Algorithm: XGBoost
- Training Data: 100,000 records (80% won, 20% lost)
- Evaluation Metric: Accuracy

{
  "predictions": [
    {
      "probability": 0.85,
      "label": "High Value",
      "features": [
        {"name": "AnnualRevenue", "value": 500000},
        {"name": "Industry", "value": "Technology"}
      ]
    }
  ],
  "modelId": "0M6xxxxxxxxxx"
}

Error: Intent 'OrderStatus' has fewer than 5 training phrases. Minimum required is 5.
Action: Add more training phrases to intent 'OrderStatus'.

{
  "policy": {
    "dataMask": {
      "enabled": true,
      "fields": ["Email", "Phone", "SSN"]
    },
    "insights": {
      "featureImportance": true
    }
  }
}

{
  "status": 0,
  "result": [
    {
      "id": "0XK...",
      "label": "Lead Score Model",
      "type": "LeadConversion",
      "status": "Deployed",
      "accuracy": 0.92,
      "lastTrainedDate": "2024-03-15T10:00:00Z"
    },
    {
      "id": "0XK...",
      "label": "Opportunity Win Rate",
      "type": "OpportunityWinRate",
      "status": "Training",
      "accuracy": null,
      "lastTrainedDate": null
    },
    {
      "id": "0XK...",
      "label": "Case Deflection",
      "type": "CaseDeflection",
      "status": "Error",
      "accuracy": null,
      "lastTrainedDate": "2024-03-10T08:00:00Z",
      "errorMessage": "Insufficient training data. At least 500 records required."
    }
  ]
}