AI-900 Practice Question: Describe features of Natural Language Processing workloads on Azure

Answer analysis

Option-by-option breakdown

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

• ✗

  Checking whether a document's references (citations) are correctly formatted

  Why it's wrong here

  This is a document-level formatting task that verifies whether citations comply with a bibliographic style guide (e.g., APA, IEEE, MLA), using regular expressions or metadata matching rather than natural language understanding. Coreference resolution, by contrast, is a linguistic analysis that identifies whether two textual mentions—such as "she" and "Dr. Emily Carter"—point to the same real-world entity. Since citation checking does not involve resolving anaphoric references, this option is incorrect.

• ✓

  Identifying which words or phrases in a text refer to the same real-world entity

  Why this is correct

  This is the foundational definition of coreference resolution. The model detects spans of text that mention an entity—including pronouns like "he," proper names like "Satya Nadella," and descriptions like "the CEO"—and groups them into clusters referring to the same real-world entity. This deep understanding enables downstream tasks such as question answering, document summarization, and entity linking to treat scattered mentions as one coherent object.

• ✗

  Resolving conflicts when multiple languages are mixed in the same document

  Why it's wrong here

  Mixing languages in a document is a code-switching phenomenon, which involves language identification, language segmentation, and cross-lingual token alignment. Coreference resolution, in contrast, focuses on whether two expressions share the same referent regardless of surface form, and it does not resolve conflicts that arise from alternating grammatical systems. Code-switching is therefore an orthogonal NLP problem, making this option incorrect.

• ✗

  Matching database foreign keys to their referenced primary keys

  Why it's wrong here

  Matching foreign keys to primary keys is a relational database referential-integrity constraint that ensures every foreign key value points to an existing primary key in another table. Coreference resolution, however, is a natural language processing technique applied to unstructured text, not to structured table columns. It resolves linguistic mentions like "it" to "server," rather than establishing key relationships, so this option is incorrect.