Knowledge Check

The following questions will help you check what you've learned.

1. Question 1 of 3. Select three.A company is developing several artificial intelligence (AI) solutions that will be for both internal use and customer facing. The IT security team needs to investigate security threats that are commonly aimed at AI systems. Which security and privacy considerations will they need to address? (Select THREE.)

   APhishing attacksBMalicious actors generating fake contentCDistributed denial-of-service (DDoS) attacksDPrompt injection by adversariesERansomware attacksFAI model weaknesses that make the AI systems vulnerable
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2. Question 2 of 3AWS provides several services and features for securing artificial intelligence (AI) systems. How should a security administrator best approach the planning of a security strategy for new and future AI solutions?

   ABegin by understanding the AWS Shared Responsibility Model and consider which security services they will need for their solutions.BStart with Amazon SageMaker Role Manager to determine which preconfigured role personas they will require for their solutions.CFirst use Amazon Macie to discover sensitive data and identify data security risks.DReview the Generative AI Security Scoping Matrix to identify the scope of each application in the AI solution.
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3. Question 3 of 3. Select two.A development team needs to train their model with a large collection of data that includes text and images. Which best practices are recommended to secure their data? (Select TWO.)

   AControl access to the data.BEnsure the integrity of the data.CClean the data to remove errors and duplicates.DPrepare the data using reduction and splitting.EIdentify inconsistencies in the data.
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