micro1's current public guidance describes a conversational AI interview with Zara that is tailored to the candidate's selected area of expertise. It also says interviews can include open-ended technical questions, scenario-based questions, coding challenges for technical roles, and human-data exercises for annotator roles.
1. Expect a role-specific interview, not one universal script
micro1 states that no two candidates receive the same questions and that the difficulty and scope can vary by field and experience. That makes question-bank memorization a weak primary strategy. Prepare the underlying concepts, decisions, and evidence instead.
2. Prepare for more than definition questions
3. Know what happens after the interview
micro1 says candidates receive a real-time certification result and may request feedback when certification is not achieved. Treat that feedback as diagnostic information: identify the specific technical or communication gap and turn it into a focused practice loop.
Try a role-specific question before the real interview.
Use one spoken question to see how clearly you can explain a decision, evidence, and trade-off without relying on memorized wording.
Knowing the format should reduce uncertainty, not replace practice.
Use the published format as your preparation map, then test whether your role knowledge survives a live spoken response.