A company wants to provide services to help other businesses label images. The company wants its labeling specialists to complete human labeling tasks on AWS. How should the company register the…

Question

Options

• AUse AWS Data Exchange.
• BCreate and use an internal workforce in Amazon SageMaker Ground Truth.
• CCreate and use Amazon Mechanical Turk entities in an Amazon SageMaker human loop.
• DUse the Amazon Mechanical Turk website.

• A
  18% (7)
• B
  70% (28)
• C
  10% (4)
• D
  3% (1)

Explanation

Option B is correct because Amazon SageMaker Ground Truth supports the creation of an internal workforce - a private pool of workers you register and manage yourself. This is the right fit when a company wants its own dedicated labeling specialists (not the general public) to handle sensitive or specialized tasks for paying clients.

Why the distractors are wrong:

• A (AWS Data Exchange) is a marketplace for sharing and selling data products, not for managing human labeling workflows.
• C (Amazon Mechanical Turk entities in a human loop) - while Amazon A2I (Augment AI) human loops can use Mechanical Turk, this option describes using a public crowdsourced workforce, not registering the company's own specialists.
• D (Amazon Mechanical Turk website) is for recruiting anonymous public workers; it has no integration path for registering specialists to receive tasks managed through AWS/SageMaker.

Memory tip: Think of it this way - "internal workforce" = your people, under your control, inside SageMaker Ground Truth. Whenever a question mentions a company's own labeling team or specialists, "internal workforce" is almost always the answer. Mechanical Turk = public crowd; internal workforce = private team.

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