AWS Certified AI Practitioner AIF-C01
Access The Exact Questions for AWS Certified AI Practitioner AIF-C01
💯 100% Pass Rate guaranteed
🗓️ Unlock for 1 Month
Rated 4.8/5 from over 1000+ reviews
- Unlimited Exact Practice Test Questions
- Trusted By 200 Million Students and Professors
What’s Included:
- Unlock 200 + Actual Exam Questions and Answers for AWS Certified AI Practitioner AIF-C01 on monthly basis
- Well-structured questions covering all topics, accompanied by organized images.
- Learn from mistakes with detailed answer explanations.
- Easy To understand explanations for all students.
Master your AWS Certified AI Practitioner AIF-C01: AWS Certified AI Practitioner AIF-C01 certification journey with proven study materials and pass on your first try!
Free AWS Certified AI Practitioner AIF-C01 Questions
Which factor will drive the inference costs when using a large language model (LLM) on Amazon Bedrock?
- A. Number of tokens consumed
- B. Temperature value
- C. Amount of data used to train the LLM
- D. Total training time
Explanation
Inference costs in generative AI are primarily determined by the number of tokens processed during each request. More tokens consumed mean the model has to compute more data, increasing the usage cost. Other factors, such as temperature or training data size, do not directly affect inference costs.
Correct Answer Is:
A
What capabilities does Amazon OpenSearch Service provide for organizations?
- A. A relational database for transaction processing
- B. Real-time search, monitoring, and analytics for various datasets
- C. A graph database for connected data
- D. A repository for ML features
Explanation
Amazon OpenSearch Service is a fully managed platform for indexing, searching, and analyzing data in real time. It supports large-scale search applications, monitoring, and analytics. This service is ideal for scenarios that require fast retrieval of structured or unstructured data.
Correct Answer Is:
B
Which Amazon Bedrock pricing model provides flexibility for companies with limited budgets and no long-term commitment?
- A. On-Demand
- B. Model customization
- C. Provisioned Throughput
- D. Spot Instance
Explanation
On-Demand pricing allows users to pay only for the resources consumed, offering flexibility without upfront commitments. It is ideal for limited budgets and varying workloads. Provisioned or customized models involve longer-term commitments and higher costs.
Correct Answer Is:
A
How does Amazon SageMaker Model Monitor help maintain ML model performance in production?
- A. By fine-tuning models on new datasets
- B. By hosting foundation models securely
- C. By detecting drift and alerting when quality concerns arise
- D. By providing a knowledge base for retrieval augmented generation
Explanation
Amazon SageMaker Model Monitor continuously observes deployed ML models to detect deviations in input data or model predictions, known as drift. It automatically triggers alerts when performance or quality metrics fall outside expected thresholds. This ensures models remain reliable and accurate in production without manual monitoring.
Correct Answer Is:
C
Which technique reduces the number of features in a dataset while retaining relevant information?
- A. Regression
- B. Dimensionality Reduction
- C. Clustering
- D. Classification
Explanation
Dimensionality reduction minimizes dataset features while preserving important information. It simplifies analysis and improves computational efficiency. Common methods include PCA and t-SNE.
Correct Answer Is:
B. Dimensionality Reduction
An AI practitioner wants to use a foundation model (FM) to design a search application that handles queries containing text and images. Which type of FM should the practitioner use?
- A. Multi-modal embedding model
- B. Text embedding model
- C. Multi-modal generation model
- D. Image generation model
Explanation
Multi-modal embedding models can process and represent multiple types of data, such as text and images, enabling search across different modalities. Text embedding models handle only text, while image generation or multi-modal generation models are for content creation rather than cross-modal search. Multi-modal embeddings allow the application to understand relationships between images and text effectively.
Correct Answer Is:
A
Which factor most affects the computational cost of training a deep learning model?
- A) Number of output labels
- B) Number of model parameters
- C) Amount of log data generated
- D) Frequency of API calls
Explanation
More parameters require more compute to update during training. Larger models therefore demand more GPU memory and processing power. Parameter size directly impacts training cost.
Correct Answer Is:
B
What is deep learning in the context of machine learning?
- A. A type of machine learning using layered structures of interconnected nodes or neurons, similar to the human brain
- B. A method for data storage and retrieval
- C. A type of database indexing
- D. A networking protocol for AI models
Explanation
Deep learning is a subset of machine learning that uses neural networks with multiple layers to process data. This layered structure allows the model to learn hierarchical representations, improving accuracy over time. Deep learning is particularly effective for tasks like image recognition, natural language processing, and speech recognition.
Correct Answer Is:
A
How does Amazon SageMaker JumpStart help AI practitioners evaluate foundation models (FMs)?
- A. By monitoring deployed models for drift
- B. By providing pre-trained models and a rapid evaluation environment
- C. By hosting models in a private VPC
- D. By generating text using negative prompts
Explanation
Amazon SageMaker JumpStart provides access to pre-trained foundation models and enables users to quickly evaluate, compare, and deploy them for tasks like summarization or image generation. It includes predefined quality and responsibility metrics to guide model selection. This accelerates the development process without requiring extensive setup.
Correct Answer Is:
B
What problems does cloud computing solve for organizations?
- A. Hardware limitations, slow deployment, scalability challenges, and high IT maintenance costs
- B. Lack of office space, employee training, and software bugs
- C. Network cabling issues, electricity management, and printer maintenance
- D. Manual coding errors, limited internet connectivity, and data entry
Explanation
Cloud computing addresses problems such as limited hardware resources, slow deployment of applications, difficulty in scaling infrastructure, and high costs associated with IT maintenance. By moving workloads to the cloud, organizations gain flexibility, reduce capital expenditure, and benefit from managed services. This enables faster innovation and improved business continuity.
Correct Answer Is:
A
How to Order
Select Your Exam
Click on your desired exam to open its dedicated page with resources like practice questions, flashcards, and study guides.Choose what to focus on, Your selected exam is saved for quick access Once you log in.
Subscribe
Hit the Subscribe button on the platform. With your subscription, you will enjoy unlimited access to all practice questions and resources for a full 1-month period. After the month has elapsed, you can choose to resubscribe to continue benefiting from our comprehensive exam preparation tools and resources.
Pay and unlock the practice Questions
Once your payment is processed, you’ll immediately unlock access to all practice questions tailored to your selected exam for 1 month .