Final Exam: Working with Azure Cosmos Database
Intermediate
- 1 video | 32s
- Earns a Badge
Final Exam: Working with Azure Cosmos DB will test your knowledge and application of the topics presented throughout the Working with Azure Cosmos DB journey.
WHAT YOU WILL LEARN
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Recognize the properties of cloud databases and what makes them different from on-premises systems
recall the benefits of cloud-hosted databases and the features which make them powerful storage solutions
delineate the factors to consider when picking the best database for a particular use case
compare and contrast relational and nosql databases, including the benefits and drawbacks of each type of system
identify the key features and use cases of azure cosmos db
recognize the different application programming interfaces (apis) for cosmos db and choose the appropriate api for a given situation
calculate the capacity and costs for a cosmos db database and container
use the different cosmos db apis
set up a cosmos db account with the nosql api
use the cosmos db web console to add items to a container and apply different schemas to the items
execute basic queries on data in a cosmos db container -
create an azure data factory instance to set up a migration into cosmos db
set up an azure sql relational database to serve as the source for a migration to cosmos db
use the sql server import extension in azure data studio to load data from a csv file into an azure sql database
view the default container for a cosmos db index policy
recall the influence of a container index policy on the request units consumed by queries
recognize the need for composite indexes in cosmos db and how these can be defined in the index policy
enable various order by queries on a container by defining multiple composite indexes
disable indexes for a container and recognize the effect that has on queries
install the required libraries to build a python app that can interact with a cosmos db instance
use the cosmos db client to query for items in a container
set up a cosmos db account with the mongodb api and provision a database and collection within that
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