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Data Concepts and EnvironmentseasyMultiple ChoiceObjective-mapped

DA0-002 Data Concepts and Environments Practice Question

Exhibit

{
  "schema": {
    "type": "struct",
    "fields": [
      { "name": "id", "type": "int", "nullable": false },
      { "name": "name", "type": "string", "nullable": true },
      { "name": "email", "type": "string", "nullable": true }
    ]
  }
}

Refer to the exhibit. An Avro schema is defined as shown. Which data design concept does this represent?

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

Schema-on-write

Avro requires defining the schema before writing data, imposing structure at write time (schema-on-write). Schema-on-read would apply structure when reading, and schema-less design has no predefined schema.

Answer analysis

Option-by-option breakdown

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

  • Schema-on-read

    Why it's wrong here

    Schema-on-read applies structure when reading, not when writing.

  • Schema-less design

    Why it's wrong here

    Schema-less means no schema enforced; Avro enforces a schema.

  • Dynamic schema

    Why it's wrong here

    Dynamic schema evolves over time; Avro schema is static once defined.

  • Schema-on-write

    Why this is correct

    Avro uses a predefined schema that is applied when data is written, typical of schema-on-write.

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