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| Section | Objectives |
|---|---|
| Topic 1: Responsible AI and Security | - AI ethics and responsible use - Bias, fairness, and explainability - Security, privacy, and governance in AI systems |
| Topic 2: Fundamentals of Generative AI | - Foundation models and prompt engineering basics - Large language models (LLMs) concepts - AWS generative AI services overview (e.g., Amazon Bedrock) |
| Topic 3: Applications of Foundation Models | - Content generation and summarization - AI-powered assistants and automation - Use cases for generative AI in business |
| Topic 4: Fundamentals of Artificial Intelligence and Machine Learning | - Common ML workflows and lifecycle - Data fundamentals for AI/ML - Core AI and ML concepts |
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NEW QUESTION # 408
A company needs to scan its Amazon EC2-based ML infrastructure for security vulnerabilities before deploying generative AI (GenAI) models.
Which AWS service provides automated vulnerability assessment?
Answer: D
Explanation:
The verified answer is C. Amazon Inspector. The company needs automated vulnerability assessment for Amazon EC2-based infrastructure. AWS documentation states that Amazon Inspector scans EC2 instances for package vulnerabilities and network reachability issues and produces findings. It compares instance metadata against vulnerability intelligence and security advisory rules. This is exactly the service used to assess EC2 infrastructure before deploying sensitive workloads such as generative AI models.
AWS also documents that Amazon Inspector scans EC2 instances for common vulnerabilities and exposures, operating system package vulnerabilities, programming language package vulnerabilities, network exposure issues, and network reachability issues. This confirms that Inspector is the correct service for automated vulnerability assessment of EC2-based ML infrastructure.
AWS CloudFormation is incorrect because it provisions infrastructure as code. It can create EC2 instances, security groups, and related resources, but it does not perform vulnerability assessment. Amazon Comprehend is incorrect because it is a natural language processing service used to extract insights from text. It does not scan infrastructure. AWS Trusted Advisor is incorrect because it provides best-practice recommendations across categories such as cost optimization, security, performance, and service limits, but it is not the dedicated automated vulnerability assessment service for EC2 instances.
The requirement is specific: scan EC2-based ML infrastructure for vulnerabilities before deployment. The AWS-native service that performs this function is Amazon Inspector.
NEW QUESTION # 409
A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.
Which evaluation metric should the company use to measure the model's performance?
Answer: D
NEW QUESTION # 410
A research company needs to analyze legal documents. The documents are up to 1 million tokens long and include embedded high-resolution charts. The company also needs to ingest video summaries to generate compliance reports.
Which Amazon Nova model meets these requirements?
Answer: D
Explanation:
The verified answer is D. Amazon Nova Premier . The decisive requirement is the combination of a 1 million-token context window , multimodal document understanding, chart analysis, and video input. AWS documentation identifies Amazon Nova Premier as the most capable multimodal Amazon Nova understanding model. It supports text, image, and video inputs and generates text output. AWS also lists Amazon Nova Premier with a 1M context window , while Amazon Nova Pro and Amazon Nova Lite support
300k , and Amazon Nova Micro supports 128k and is text-only. Because the company's legal documents are up to 1 million tokens long, Nova Premier is the only listed option that satisfies the context-length requirement.
AWS documentation also states that Amazon Nova Premier has a supported context length of 1 million tokens , which AWS equates to 1 million tokens of text, 500 images, or 90 minutes of video. The same documentation explains that Nova Premier excels at question answering on long documents. This directly matches the research company's need to analyze very long legal documents and ingest video summaries for compliance reporting.
Amazon Nova Micro is incorrect because it is a text-only model and has a smaller context window. It cannot process embedded high-resolution charts or video inputs. Amazon Nova Lite is incorrect because it is multimodal, but its context window is 300k, which is below the 1 million-token requirement. Amazon Nova Pro is also incorrect for the same reason: it is highly capable and multimodal, but its context window is 300k rather than 1M. The requirement is not simply "multimodal"; it is long-context multimodal analysis at the 1 million-token scale. Therefore, the only model that fully meets the requirements is Amazon Nova Premier .
NEW QUESTION # 411
A company has installed a security camer
a. The company uses an ML model to evaluate the security camera footage for potential thefts. The company has discovered that the model disproportionately flags people who are members of a specific ethnic group.
Which type of bias is affecting the model output?
Answer: A
NEW QUESTION # 412
A financial company is training a generative AI model to predict outcomes of loan applications. The training dataset is small. The dataset categorizes loan applicants as " younger-aged, " " middle-aged, " or " older-aged.
" Most individuals in the dataset are characterized as " middle-aged. " The company removes the age range feature from the training dataset.
Which model behavior will likely happen as a result of this change to the dataset?
Answer: D
NEW QUESTION # 413
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