AIF-C01.pdf
Q: 1
A social media company wants to use a large language model (LLM) for content moderation. The
company wants to evaluate the LLM outputs for bias and potential discrimination against specific
groups or individuals.
Which data source should the company use to evaluate the LLM outputs with the LEAST
administrative effort?
Options
Q: 2
A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM
needs to access encrypted data that is stored in an Amazon S3 bucket.
The data is encrypted with Amazon S3 managed keys (SSE-S3).
The FM encounters a failure when attempting to access the S3 bucket data.
Which solution will meet these requirements?
Options
Q: 3
A company is building an ML model. The company collected new data and analyzed the data by
creating a correlation matrix, calculating statistics, and visualizing the data.
Which stage of the ML pipeline is the company currently in?
Options
Q: 4
A company has petabytes of unlabeled customer data to use for an advertisement campaign. The
company wants to classify its customers into tiers to advertise and promote the company's products.
Which methodology should the company use to meet these requirements?
Options
Q: 5
Which technique breaks a complex task into smaller subtasks that are sent sequentially to a large
language model (LLM)?
Options
Q: 6
Which option describes embeddings in the context of AI?
Options
Q: 7
An AI company periodically evaluates its systems and processes with the help of independent
software vendors (ISVs). The company needs to receive email message notifications when an ISV's
compliance reports become available.
Which AWS service can the company use to meet this requirement?
Options
Q: 8
A customer service team is developing an application to analyze customer feedback and
automatically classify the feedback into different categories. The categories include product quality,
customer service, and delivery experience.
Which AI concept does this scenario present?
Options
Q: 9
A company manually reviews all submitted resumes in PDF format. As the company grows, the
company expects the volume of resumes to exceed the company's review capacity. The company
needs an automated system to convert the PDF resumes into plain text format for additional
processing.
Which AWS service meets this requirement?
Options
Q: 10
A company trained an ML model on Amazon SageMaker to predict customer credit risk. The model
shows 90% recall on training data and 40% recall on unseen testing data.
Which conclusion can the company draw from these results?
Options
Question 1 of 10
