Cloud-Digital-Leader Exam Dumps - Google Cloud Digital Leader exam

Recommendations AI enables you to build an end-to-end personalized recommendation system based on state-of-the-art deep learning ML models, without a need for expertise in ML or recommendation systems. With Vertex AI, both AutoML training and custom training are available options. Whichever option you choose for training, you can save models, deploy models, and request predictions with Vertex AI.

https://cloud.google.com/vertex-ai

The correct answer is D. AutoML. Here's why:

Context of the Question: The organization wants to build a solution to detect faulty parts on a production line using a large collection of labeled images (intact or defective parts). They do not have data science expertise, so they need a tool that simplifies the machine learning process.

Google Cloud Product Relevance:

AutoML is a suite of machine learning products that allows users to build custom models easily without needing deep expertise in machine learning or data science. It is designed to simplify the process of training, evaluating, and deploying models, especially in cases like image recognition where labeled datasets are already available.

AutoML Vision, a part of AutoML, would be ideal for this use case as it specifically handles image classification and can easily differentiate between intact and defective parts.

Why Not Other Options:

A. Discovery AI for Retail: This is a solution tailored for retail use cases like product discovery and search optimization, not for manufacturing defect detection.

B. Pre-trained APIs: While pre-trained APIs (like Vision API) can recognize general image patterns, they may not be specific enough for a custom use case like detecting defective parts.

C. Document AI: This service is designed for understanding and processing documents, not for analyzing images.

Google Cloud Digital Leader References:

For more information on AutoML, refer to the AutoML Vision documentation.

The Premium customer care service level in Google Cloud provides the fastest response times and includes a dedicated Technical Account Manager (TAM) to assist with managing critical workloads and ensuring smooth operations.

Option A: Premium is correct because it provides the required support features, including fast response times and a dedicated TAM.

The correct answer is B. Machine learning. Here’s why:

Context of the Question: The question describes an application that can diagnose medical conditions based on images submitted by users. This is a task typically handled by machine learning (ML) models, specifically those focused on image recognition and classification.

Google Cloud Product Relevance:

Machine learning (ML) is the correct service because it refers to the use of Google Cloud's AI/ML capabilities, which include services such as AutoML Vision and Vertex AI. These tools can build and deploy machine learning models specifically for image recognition tasks, such as identifying medical conditions from images.

AutoML Vision is designed to create custom ML models with minimal ML expertise, making it suitable for diagnosing medical conditions from images.

Vertex AI allows for training, evaluating, and deploying ML models, including complex models for medical image diagnostics.

Why Not Other Options:

A. App Engine: App Engine is a platform-as-a-service (PaaS) used for building and deploying web applications, not specifically for ML or image recognition tasks.

C. Cloud Logging: Cloud Logging is used to store, search, analyze, and monitor log data and events. It does not have any capabilities related to diagnosing medical conditions or image recognition.

D. Cloud Profiler: Cloud Profiler is a performance analysis tool for applications running in production. It helps identify bottlenecks and optimize resource usage but has no relevance to image diagnosis or machine learning.

Google Cloud Digital Leader References:

For more information on Machine Learning with Google Cloud, refer to the Google Cloud documentation on AutoML Vision and Vertex AI.

Understanding the basic principles and applications of Google Cloud’s ML services is crucial for the Google Cloud Digital Leader exam, which emphasizes knowing how different services solve business challenges.

Per Google docs, App Engine, allows for "freeing up your developers with zero server management and zero configuration deployments". https://cloud.google.com/appengine