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Applying AI to the RTE Role Questions

Practice questions for Applying AI to the RTE Role topic in SAFe Release Train Engineer. 30 questions covering this domain.

30 questions8 easy10 medium12 hard
Q1
hard

An RTE wants to use a public AI tool to summarize sensitive customer-impacting risks. Which response best fits SAFe responsible AI use?

Q2
medium

Which is true about responsible AI use in SAFe?

Q3
medium

Which is a sound RTE use of AI to summarize cross-team status?

Q4
easy

What does 'hallucination' mean in generative AI?

Q5
hard

A leader proposes letting AI directly approve PI Objectives' business value to save time. Which response best fits SAFe?

Q6
easy

What is a 'prompt' for a generative AI assistant?

Q7
hard

An RTE wants AI to auto-generate risk lists at PI Planning. Which approach best fits SAFe?

Q8
easy

What is grounding in the context of generative AI?

Q9
hard

An ART wants AI to fully automate PI Planning facilitation. Which best fits SAFe?

Q10
medium

Which is true about RTE oversight of AI-generated coaching plans?

Q11
easy

What is a Large Language Model (LLM)?

Q12
medium

Which is responsible AI use for dependency mapping suggestions at PI Planning?

Q13
medium

Which is a hallmark of an effective AI prompt for an RTE drafting an ART status note?

Q14
hard

An RTE proposes to use AI to monitor ART chat for sentiment and flag at-risk teams. Which best fits SAFe responsible AI?

Q15
hard

An AI assistant suggests removing key NFRs to ship a Feature faster. Which best fits SAFe?

Q16
medium

Which is responsible AI use during the I&A problem-solving workshop?

Q17
medium

Which is the right RTE approach to AI policy for the ART?

Q18
hard

An RTE wants to use AI to detect risks across many team plans before PI Planning Day 2. Which best fits SAFe?

Q19
hard

An AI generates content with a confidently incorrect statement about SAFe. Which best fits SAFe?

Q20
easy

Which is a primary risk of using public AI tools with confidential ART data?

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