Amazon AIF-C01 Exam Dumps

Correct Answer: C

Amazon OpenSearch Service (formerly Amazon Elasticsearch Service) has introduced capabilities to support vector search, which allows companies to build vector database applications. This is particularly useful in machine learning, where

vector representations (embeddings) of data are often used to capture semantic meaning. Scalable index management and nearest neighbor search capabilityare the core features enabling vector database functionalities in OpenSearch. The

service allows users to index high-dimensional vectors and perform efficient nearest neighbor searches, which are crucial for tasks such as recommendation systems, anomaly detection, and semantic search.

Here is why option C is the correct answer:

Scalable Index Management:OpenSearch Service supports scalable indexing of vector data. This means you can index a large volume of high-dimensional vectors and manage these indexes in a cost-effective and performance-optimized

way. The service leverages underlying AWS infrastructure to ensure that indexing scales seamlessly with data size.

Nearest Neighbor Search Capability:OpenSearch Service's nearest neighbor search capability allows for fast and efficient searches over vector data. This is essential for applicationslike product recommendation engines, where the system

needs to quickly find the most similar items based on a user's query or behavior.

AWS AI Practitioner References:

The other options do not directly relate to building vector database applications:

A. Integration with Amazon S3 for object storageis about storing data objects, not vector-based searching or indexing.

B. Support for geospatial indexing and queriesis related to location-based data, not vectors used in machine learning.

D. Ability to perform real-time analysis on streaming datarelates to analyzing incoming data streams, which is different from the vector search capabilities.

Correct Answer: B

Measuring the model's accuracy against a predefined benchmark dataset is the correct strategy to evaluate the accuracy of a foundation model (FM) used in image classification tasks.

Correct Answer: A

Providing examples of text passages with corresponding positive or negative labels in the prompt followed by the new text passage to be classified is the correct prompt engineering strategy for using a large language model (LLM) on Amazon Bedrock for sentiment analysis.