You have deployed a new public web application that allows users to register and login with email ids, phone numbers, or user ids. You are seeing some unusual activity with user registrations and logins from a few IPs. A large number of accounts were created very quickly. Logins are also hap-pening quickly thereafter from these new accounts. Different parts of the application are being ex-plored, all of which are putting a heavy load on the application. What could be a problem and how can you solve it?
Answer : B
Bots attacking the application is the most likely scenario in this case. Using WAAP is the right protection plan: Anti-DDoS, anti-bot, WAF, and API protection help you protect against new and existing threats while helping you keep your apps and APIs compliant and continuously available.
https://cloud.google.com/solutions/web-app-and-api-protection
Your team is publishing research results and needs to make large amounts of data available to other researchers within the professional community and the public at minimum cost.
How should you host the data?
Answer : A
Enabling Requester Pays is useful, for example, if you have a lot of data you want to make available to users, but you don't want to be charged for their access to that data.
Reference link-https://cloud.google.com/storage/docs/requester-pays
A manufacturing organization has a large collection of images labeled as intact or defective parts. They want to use this data to build a simple solution to detect faulty parts on their production line. They have no data science expertise. Which solution should they use?
Answer : D
The correct answer is D. AutoML. Here's why:
Context of the Questio n : 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 Reference:
For more information on AutoML, refer to the AutoML Vision documentation.
When you update the function in firebase by deploying updated code, instances for older versions are cleaned up along with build artifacts in __________________ and replaced by new instances.
Answer : B
Container Registry is a single place for your team to manage Docker images, perform vulnerability analysis, and decide who can access what with fine-grained access control
An organization relies on online seasonal sales for the majority of their annual revenue.
Why should the organization use App Engine for their customer app?
Answer : B
Your company's development team is building an application that will be deployed on Cloud Run. You are designing a CI/CD pipeline so that any new version of the application can be deployed in the fewest number of steps possible using the CI/CD pipeline you are designing. You need to select a storage location for the images of the application after the CI part of your pipeline has built them.
What should you do?
Answer : B
An organization is using three cloud vendors to maximize their available deployment locations worldwide They are using GKE Enterprise to deploy Kubernetes applications across different clouds What type is this deployment?
Answer : C