Questions about the category: Innovating with data and Google Cloud

Your organization needs to analyze data in order to gather insights into its daily operations. You only want to pay for the data you store and the queries you perform.

Your organization is developing an application that will manage payments and online bank accounts located around the world. The most critical requirement for your database is that each transaction is handled consistently. Your organization anticipates almost unlimited growth in the amount of data stored.

Your organization wants an economical solution to store data such as files, graphical images, and videos and to access and share them securely.

Your organization wants to predict the behavior of visitors to its public website. To do that, you have decided to build a machine learning model. Your team has database-related skills but only basic machine learning skills, and would like to use those database skills.

What is the difference between Standard and Coldline storage?

You are a program manager for a team of developers who are building an event-driven application to allow users to follow one another's activities in the app. Each time a user adds himself as a follower of another user, a write occurs in the real-time database.
The developers will develop a lightweight piece of code that can respond to database writes and generate a notification to let the appropriate users know that they have gained new followers. The code should integrate with other cloud services such as Pub/Sub, Firebase, and Cloud APIs to streamline the orchestration process. The application requires a platform that automatically manages underlying infrastructure and scales to zero when there is no activity.

Your organization is developing an application that will capture a large amount of data from millions of different sensor devices spread all around the world. Your organization needs a database that is suitable for worldwide, high-speed data storage of a large amount of unstructured data.

Your organization needs to build streaming data pipelines. You don't want to manage the individual servers that do the data processing in the pipelines. Instead, you want a managed service that will automatically scale with the amount of data to be processed.

Your organization wants to migrate its data management solutions to Google Cloud because it needs to dynamically scale up or down and to run transactional SQL queries against historical data at scale.

Your organization needs to categorize objects in a large group of static images using machine learning.

Which Google Cloud service or feature lets you build machine learning models using Standard SQL and data in a data warehouse?

Your organization needs to process large amounts of data from an online application that operates continuously.
You do not want to be required to provision infrastructure or create server clusters.

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.

An organization needs to categorize text-based customer reviews on their website using a pre-trained machine learning model.

An organization is searching for an open-source machine learning platform to build and deploy their own custom machine learning applications using TPUs.

An organization is using machine learning to make predictions. One of their datasets mistakenly includes mislabeled data.

A global organization is developing an application to manage payments and online bank accounts in multiple regions.
Each transaction must be handled consistently in their database, and they anticipate almost unlimited growth in the amount of data stored.

An e-commerce organization is reviewing their cloud data storage.

An organization is training a machine learning model to predict extreme weather events in their country.

An organization wants to transform multiple types of structured and unstructured data in the cloud from various sources. The data must be readily accessible for analysis and insights.

An organization wants to use all available data to offer predictive suggestions on their website that improve over time.

An organization wants to use BigQuery data analytics to understand their website performance, but wants to move only some data into the cloud.

An organization recently launched a virtual customer support agent, generating vast amounts of text and speech data.

An organization wants to add a new function to their application.
They want to write the code and let the public cloud provider handle the infrastructure.

An organization delivers a proactive healthcare service. They want to efficiently and automatically collect patient data.

How would a global organization benefit from managing their data with Cloud Spanner?

An organization wants to use multiple marketing datasets to forecast user acquisition.

An organization needs to categorize a large group of photographs using pre-trained machine learning.

How do out-of-the-box APIs make artificial intelligence and machine learning more accessible for all Google Cloud customers?

An organization finds that the amount of cash in their vending machines doesn't match the value of items sold.
They have decided to upgrade their vending machines with cloud-based mobile payment systems.

A food delivery service needs access to real-time menu information from all partner restaurants.
They also need to share customer order information with the restaurants in real time.

How does Google Cloud enable customers to leverage the power of artificial intelligence and machine learning?

An online retail organization wants to optimize their service.

An organization needs to train a machine learning model to categorize photographs.

An organization wants a cost-effective relational database.

An organization wants to write and run small pieces of code in a serverless way that respond to events like huge discounts.

An organization wants to search hundreds of scanned documents for key information like dates, names, and other specific words.

An organization needs a platform to create custom end-to-end artificial intelligence models.

An organization is training a machine learning model to make predictions.

What is an example of structured data that a healthcare facility stores in their system?

An organization wants to ensure that their developers can easily use application programming interfaces (APIs) in future projects.

An organization needs frequent access to only a subset of their data. They want to reduce costs by depositing the rest of their data across Nearline, Coldline, and Archive repositories.

A customer service department wants to increase their operational efficiency while maintaining personalized dialog with their customers.

An organization wants to build autoscaling web applications without having to manage application infrastructure.

An organization needs to train a custom machine learning model to categorize customer responses from their website's contact form.