Cloud Computing Fundamentals Quiz

Which of the following database systems is NOT typically included in a relational database category?

What aspect of Cloud Spanner allows it to achieve global distribution?

What type of data model is utilized by Cloud Bigtable?

How does Google Cloud Datastore’s consistency compare to relational databases?

When using a RESTful API, which HTTP status code confirms resource creation?

What best describes the functionality of Google Cloud Endpoints?

Which task is primarily supported by managed messaging services?

What is a true statement regarding Cloud Pub/Sub?

In big-data processing, Cloud Pub/Sub is primarily used while __________ data.

Which statement best describes Google App Engine (GAE)?

CloudSQL can scale up to how many processor cores and how much storage capacity?

Which mapping accurately associates the cloud services with their types?

What is the difference between a bucket and an object in cloud storage?

Which of the following is considered structured data?

Which of the following is NOT a type of NoSQL database?

Which requirement is best suited for nearline storage?

What types of SQL databases can you manage with Google Cloud SQL?

Google App Engine (GAE)

Functionality: Automatically scales an application based on incoming traffic.

Cloud SQL

Scalability: Can scale up to 64 processor cores and 10TB of storage capacity.

Cloud Database Mapping

Cloud Bigtable: Non-relational database
Cloud SQL: Relational database
Bigquery: Data warehousing
Cloud Storage: Object datastore

Cloud Storage: Buckets and Objects

Bucket: A logical container for objects (data).
Object: A physical location for data within a bucket.

Structured Data

Example: Customer names and addresses stored in a database.

NoSQL Databases

Types:
- Key-value stores.
- Document databases.
- Graph databases.
Not a type: Relational databases.

Nearline Storage

Ideal for: Data that is rarely accessed but needs to be retrieved within milliseconds.

Cloud SQL Database Management

Supports: PostgreSQL, SQL Server, and MySQL.

Cloud Spanner

Unique Feature: Globally distributed data with horizontal scalability.

Cloud Bigtable Data Model

Model: Wide-column.

Data Consistency: Cloud Datastore and Relational Databases

Consistency models: Depend solely on the application's configuration.

RESTful API: HTTP Status Codes

Successful creation: HTTP status code 201.

Google Cloud Endpoints

Functionality: Fully managed service for creating, deploying, and managing APIs.

Managed Messaging Services

Functionality: Process and route real-time events.

Cloud Pub/Sub

Functionality: A fully managed real-time messaging service that enables applications to exchange data directly between publisher and subscriber.
Used for: Ingesting data in a big-data processing model.

Test your knowledge on key concepts surrounding cloud computing technologies, including Google App Engine, Cloud SQL, and database types. This quiz covers various functionalities and storage options available in cloud services. Perfect for beginners and professionals looking to refresh their understanding.