AWS Certified AI Practitioner AIF-C01 Dumps
AWS Certified AI Practitioner
AWS Certified AI Practitioner validates in-demand knowledge of artificial intelligence (AI), machine learning (ML), and generative AI concepts and use cases. Sharpen your competitive edge and position yourself for career growth and higher earnings. Register now and be among the first to earn this certification.
How is AWS Certified AI Practitioner different from AWS Certified Cloud Practitioner?
AWS Certified Cloud Practitioner focuses on overall knowledge of AWS Cloud and gives a foundational-level overview of all AWS services. AWS Certified AI Practitioner covers the breadth of AI frameworks, concepts, and associated AWS technologies, with an emphasis on generative AI. The exam content outline for Cloud Practitioner contains only one task statement related to AI. In contrast, the entire exam content outline for AWS Certified AI Practitioner focuses on AI, ML, and generative AI. You should take the exam that best aligns with your interests and needs. You also have the option to earn both certifications if you want to demonstrate a strong grasp of both AWS cloud and AI/ML.
A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to classify the sentiment of text passages as positive or negative. Which prompt engineering strategy meets these requirements? A.Provide examples of text passages with corresponding positive or negative labels in the prompt followed by the new text passage to be classified. B.Provide a detailed explanation of sentiment analysis and how LLMs work in the prompt. C.Provide the new text passage to be classified without any additional context or examples. D.Provide the new text passage with a few examples of unrelated tasks, such as text summarization or question answering.
Answer: A
An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images. Which type of FM should the AI practitioner use to power the search application? A.Multi-modal embedding model B.Text embedding model C.Multi-modal generation model D.Image generation model
Answer: A
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? A.Measurement bias B.Sampling bias C.Observer bias D.Confirmation bias
Answer: B
A company has thousands of customer support interactions per day and wants to analyze these interactions to identify frequently asked questions and develop insights. Which AWS service can the company use to meet this requirement? A.Amazon Lex B.Amazon Comprehend C.Amazon Transcribe D.Amazon Translate
Answer: B
Which option is a benefit of ongoing pre-training when fine-tuning a foundation model (FM)? A.Helps decrease the model's complexity B.Improves model performance over time C.Decreases the training time requirement D.Optimizes model inference time
Answer: B
A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention. The company chose a foundation model (FM) for the chatbot. The chatbot needs to produce responses that adhere to company tone. Which solution meets these requirements? A.Set a low limit on the number of tokens the FM can produce. B.Use batch inferencing to process detailed responses. C.Experiment and refine the prompt until the FM produces the desired responses. D.Define a higher number for the temperature parameter.
Answer: C
A student at a university is copying content from generative AI to write essays. Which challenge of responsible generative AI does this scenario represent? A.Toxicity B.Hallucinations C.Plagiarism D.Privacy
Answer: C
Which metric measures the runtime efficiency of operating AI models? A.Customer satisfaction score (CSAT) B.Training time for each epoch C.Average response time D.Number of training instances
Answer: C
A company has a database of petabytes of unstructured data from internal sources. The company wants to transform this data into a structured format so that its data scientists can perform machine learning (ML) tasks. Which service will meet these requirements? A.Amazon Lex B.Amazon Rekognition C.Amazon Kinesis Data Streams D.AWS Glue
Answer: D
Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team's VPC? A.Amazon Personalize B.Amazon SageMaker JumpStart C.PartyRock, an Amazon Bedrock Playground D.Amazon SageMaker endpoints
Answer: D
Exam Overview
CategoryFoundational Exam duration120 minutes Exam format85 questions Cost75 USD/10,000 JPY Intended candidateIndividuals who are familiar with, but do not necessarily build, solutions using AI/ML technologies on AWSCandidate role examplesBusiness analyst, IT support, marketing professional, product or project manager, line-of-business or IT manager, sales professional Testing optionsPearson VUE testing center or online proctored exam Languages offeredEnglish, Japanese
Exam Domains
Domain 1: Fundamentals of AI and ML (20% of scored content) Domain 2: Fundamentals of Generative AI (24% of scored content) Domain 3: Applications of Foundation Models (28% of scored content) Domain 4: Guidelines for Responsible AI (14% of scored content) Domain 5: Security, Compliance, and Governance for AI Solutions (14% ofscored content)
What certification(s) should I earn next after AWS Certified AI Practitioner?
For individuals transitioning to cloud careers, we recommend AWS Certified Solutions Architect - Associate. For those pursuing careers in data, AI, and machine learning, we recommend AWS Certified Data Engineer - Associate and/or AWS Certified Machine Learning Engineer - Associate.
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