Observations on AIF-C01 Timed Mode Set 1

[Benjamin Creitz]

Timed Mode Set 1 Observations

5. Question

A financial organization is planning to integrate generative artificial intelligence (generative AI) services into its workflow to improve customer support with natural language processing capabilities. The company is keen on ensuring that its AI models are transparent, fair, and accountable. They are looking for resources to understand the ethical implications and responsible use of AI services.

Which machine-learning technique would be appropriate for this task?

> The options are not ML techniques. They are AWS services.

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22. Question

A fintech company is developing an AI-based system for detecting fraudulent activities. The company must implement security measures to ensure data integrity, safeguard user privacy, and comply with regulations. The goal is to align security strategies with relevant foundational security capabilities.

Match each foundational security capability with its relevant strategy for securing the AI-powered fraud detection system. Each capability should be selected one or more times. (Select THREE.)

> There are four options and three responses. It is not possible to use each options one or more times.

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51. Question

A company wants to customize a foundational model using Amazon Bedrock.

Select and order the prerequisites for customizing a foundational model. Each step should be selected one time. (Select and order THREE.)…

> After the question we see five options, but we can only select from three of those.

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20. Question

A technology firm is implementing a new generative AI model for customer interactions and needs to ensure the system’s security against various vulnerabilities. The ML security team is tasked with identifying the most critical security vulnerabilities that could impact the AI model’s performance and integrity.

Which vulnerabilities should they prioritize? (Select THREE.)

> Model theft has no effect on performance or integrity of the model. DoS would seem to be more appropriate, since it does affect performance.

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29. Question

A financial company has collected 2 years of daily transaction data stored in an Amazon S3 bucket. To enhance liquidity management, financial planning, and resource allocation, they plan to develop a machine-learning model to forecast transaction volumes for the next 90 days.

Which type of algorithm should the company use?

> Amazon Forecast, showed in the explanation, is deprecated, and is not listed as in-scope for the exam.

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33. Question

Select the correct Amazon SageMaker inference options from the following list for each job. Each inference options may be selected one or more times. (Select TWO)

> Amazon Q for Business offers a chat interface, contrary to your explanation. The better reason that Lex is more appropriate choice is that Q is targeted internally more than toward external customers.

[Nikee-TutorialsDojo]

Hello Benjamin,

Thank you for posting! We appreciate your attention to detail. We’ll look into this on our end and get back to you soon.

Regards,

Nikee @ Tutorials Dojo

[Nikee-TutorialsDojo]

Hello Benjamin,

We are currently addressing the question you mentioned earlier, and updates will be provided as soon as possible.

It appears there was some confusion regarding question 33. Question 33 is focused on Amazon SageMaker inference options and does not involve services like Amazon Q for Business or Amazon Lex.

Furthermore, regarding question 20, while I see your point about DoS (Denial of Service) attacks affecting the availability of the model, model theft indeed compromises the integrity of the AI model.

Model theft has serious consequences for the integrity and overall security of the AI system. Attackers can reverse-engineer a model, analyze the internal decision-making process, and discover vulnerabilities when a model is stolen. This can lead to unauthorized modifications or model misuse, affecting its intended behavior. Furthermore, a stolen model can be repurposed for malicious actions, which ultimately impacts its integrity as it can no longer be trusted to function as designed.
Although DoS affects availability, it is more of a secondary concern in terms of performance or the fundamental integrity of the model. The focus here is on ensuring the model continues to perform reliably and securely without being compromised or stolen.

If you need further assistance, please don’t hesitate to message us. Thank you

Regards,

Nikee @ Tutorials Dojo