You need to build a service to extract text from millions of images stored in Google Cloud Storage. The extracted text will be analyzed for sentiment and stored in BigQuery for further analysis. What combination of GCP services would accomplish this in the most efficient manner?

*Explanation:* The most efficient combination for extracting text from images, analyzing sentiment, and storing the results in BigQuery is to use **Cloud Vision API** for text extraction, **Cloud Natural Language API** for sentiment analysis, and **BigQuery** for storage and further analysis. This combination leverages specialized APIs for image processing and NLP tasks, ensuring efficiency and accuracy. Other options like Cloud Functions (requires custom text extraction logiC. , Cloud Run (less efficient for OCR), App Engine with third-party libraries (less efficient and scalable), and Dataflow (better for batch/stream processing) are not as suitable for this specific task.