1Z0-184-25 Question 148
Select 2An online retailer wants to create an automated pipeline that analyzes customer feedback to categorize reviews according to sentiment and product tags. They plan to store raw feedback in an OCI Object Storage bucket, automatically process the text to extract sentiment and relevant tags, and then load the results into an Autonomous Data Warehouse for advanced analytics, all with minimal custom code. Which two services or features in Oracle Cloud Infrastructure best meet this requirement?
- A
OCI Language for text analysis
- B
OCI Data Integration for orchestrating data flows
- C
OCI Vision for processing textual metadata in images
- D
OCI Logging for collecting classification logs
Show answer and explanation
Correct answers: A, B
Explanation
OCI Language offers out-of-the-box sentiment analysis and text classification, making it well-suited for automatically categorizing real-world review data. OCI Data Integration then provides a drag-and-drop experience for extracting, transforming, and loading that data into downstream targets like Autonomous Data Warehouse. Refer to the Oracle Cloud Infrastructure documentation on AI Services (Language) and Data Integration for guidance on setting up end-to-end automation for text analysis and data pipeline orchestration.
- A. Correct.
Correct. OCI Language is specifically designed for natural language processing, sentiment analysis, and text classification tasks. It can readily process the retail feedback to extract sentiment and determine relevant product tags without requiring extensive custom code.
- B. Correct.
Correct. OCI Data Integration can orchestrate data ingestion and transform the classified output before loading it into an Autonomous Data Warehouse. It is ideal for setting up ETL (extract-transform-load) or ELT pipelines in a low-code environment.
- C. Incorrect.
Incorrect. OCI Vision focuses on analyzing and classifying images and video, such as detecting objects or performing OCR. It is not intended for text analysis use cases that do not involve image-based content.
- D. Incorrect.
Incorrect. OCI Logging is designed for collecting and analyzing logs from OCI resources and applications. While this might help in troubleshooting the classification process, it does not provide AI-driven classification or data flow orchestration capabilities.