AWS Certified AI Practitioner AIF-C01 Real Mock 5
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Explore the first 5 questions. Answers and detailed results are available after login.
1. A financial institution wants to replace its rigid, linear rule-based fraud engine with an AI architecture composed of multiple interconnected layers of artificial neurons capable of learning complex, non-linear relationships across millions of credit card transactions. Which core AI paradigm are they adopting?
A. Robotic Process Automation
B. Decision Tree Pruning
C. Neural Networks
2. A content creation platform implements a new feature. Instead of merely recommending existing songs based on user listening history, the system accepts a text prompt like 'upbeat jazz with a fast tempo' and synthesizes an entirely original, never-before-heard audio track. Which AI concept is primarily involved?
A. Generative AI
B. Predictive Machine Learning
C. Agentic AI
3. A social media platform deploys an image moderation model to flag inappropriate content. The engineering team wants an inference endpoint that automatically scales to handle sudden viral traffic spikes but completely scales to zero to save costs when traffic drops in the middle of the night. They do not want to manage underlying EC2 instances or scaling policies manually. Which strategy should they use?
A. Serverless inferencing
B. Real-time inferencing
C. Batch inferencing
4. A marketing team ingests customer survey results into an AWS data lake. Part 1 of the survey contains 1-to-5 star rating dropdowns, which are mapped directly to a relational database. Part 2 contains a blank text box where customers write open-ended feedback paragraphs. How should these two data inputs be classified respectively?
A. Unstructured data and Time-series data
B. Labeled data and Unlabeled data
C. Structured data and Unstructured data
5. A telecommunications company has collected petabytes of network telemetry data. The network architects want to identify discrete usage patterns to optimize bandwidth allocation, but they do not know what those patterns look like in advance and have no labeled examples of optimal vs. suboptimal states. Which machine learning paradigm is necessary for this discovery phase?
A. Supervised Learning
B. Unsupervised Learning
C. Reinforcement Learning