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Implement natural language processing solutions →hardMultiple ChoiceObjective-mapped

AI-102 Practice Question: Implement natural language processing solutions

This AI-102 practice question tests your understanding of implement natural language processing solutions. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

Exhibit

Refer to the exhibit.
```json
{
  "customModels": {
    "entities": [
      {
        "category": "Product",
        "subcategory": "Electronics",
        "name": "Laptop"
      },
      {
        "category": "Product",
        "subcategory": "Electronics",
        "name": "Smartphone"
      }
    ],
    "relations": [
      {
        "relationType": "InstanceOf",
        "source": "Laptop",
        "target": "Electronics"
      },
      {
        "relationType": "InstanceOf",
        "source": "Smartphone",
        "target": "Electronics"
      }
    ]
  }
}
```

Refer to the exhibit. You are defining a custom entity recognition model in Azure AI Language. The exhibit shows a partial configuration. What is the relationship between 'Laptop' and 'Electronics'?

Exhibit

Refer to the exhibit.
```json
{
  "customModels": {
    "entities": [
      {
        "category": "Product",
        "subcategory": "Electronics",
        "name": "Laptop"
      },
      {
        "category": "Product",
        "subcategory": "Electronics",
        "name": "Smartphone"
      }
    ],
    "relations": [
      {
        "relationType": "InstanceOf",
        "source": "Laptop",
        "target": "Electronics"
      },
      {
        "relationType": "InstanceOf",
        "source": "Smartphone",
        "target": "Electronics"
      }
    ]
  }
}
```

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Laptop is a type of Electronics.

In Azure AI Language custom entity recognition, you define entity types and subtypes using a hierarchical structure. The exhibit shows 'Laptop' as a child of 'Electronics', meaning Laptop is a subtype or specific type of the broader Electronics category. This allows the model to recognize that any Laptop entity is also an instance of Electronics, enabling more granular classification and downstream processing.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✓

    Laptop is a type of Electronics.

    Why this is correct

    The relations show InstanceOf, meaning Laptop is an instance of Electronics.

    Related concept

    Read the scenario before looking for a memorised answer.

  • ✗

    There is no defined relationship.

    Why it's wrong here

    A relationship is explicitly defined as InstanceOf.

  • ✗

    Electronics is a type of Laptop.

    Why it's wrong here

    The relation is from Laptop to Electronics, so Laptop is the instance.

  • ✗

    Laptop is a part of Electronics.

    Why it's wrong here

    The relation is InstanceOf, not HasPart.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse hierarchical 'type-of' relationships with 'part-of' relationships, leading them to incorrectly select Option D, or they assume no relationship exists (Option B) because they overlook the visual hierarchy in the exhibit.

Detailed technical explanation

How to think about this question

Under the hood, Azure AI Language custom NER uses a flat or hierarchical entity schema where subtypes inherit properties from their parent. When you define 'Laptop' as a child of 'Electronics', the model learns to tag entities with both labels, improving recall for ambiguous terms. In a real-world scenario, this hierarchy helps in e-commerce cataloging: extracting 'Laptop' as a type of 'Electronics' allows for automatic product categorization and taxonomical filtering.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this AI-102 question test?

Implement natural language processing solutions — This question tests Implement natural language processing solutions — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Laptop is a type of Electronics. — In Azure AI Language custom entity recognition, you define entity types and subtypes using a hierarchical structure. The exhibit shows 'Laptop' as a child of 'Electronics', meaning Laptop is a subtype or specific type of the broader Electronics category. This allows the model to recognize that any Laptop entity is also an instance of Electronics, enabling more granular classification and downstream processing.

What should I do if I get this AI-102 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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