Final Exam: Working with MongoDB Atlas

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
  

  list the different categories of nosql databases and outline how these differ from relational systems
  

  recognize the flexibility offered by document data structures and how these can enhance query performance
  

  outline the features of mongodb and how these may apply to a wide variety of use cases
  

  recognize the components of a mongodb system and what purpose each of them serves
  

  identify the types of causal consistency guarantees and the levels of read and write consistency required to achieve them
  

  identify the components of a mongodb atlas account and how these can be applied in the real world
  

  download and install the mongodb compass graphical client
  

  connect to a mongodb atlas cluster and browse documents with the compass client
  

  set up the atlas command line tool to interact with your atlas cluster from your own shell
  

  execute cluster creation and administration commands using the atlas command line interface (cli)
  

  run simple queries against collections from the built-in mongodb shell in the compass client
  

  provision a database and collection from the graphical interface of mongodb compass
  

  apply filters on the documents in a collection using the compass user interface (ui)
  

  use operators such as skip, sort and limit when querying documents in a collection
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  invoke mongodb shell functions to perform skip, sort, and limit operations
  

  perform basic crud operations from the compass client
  

  modify a single document based on a filter condition
  

  substitute a new document for an existing one and remove unwanted documents from a collection
  

  filter documents based on the existence of an attribute
  

  search for a document based on a pattern in one of its string fields
  

  implement operations such as addition, subtraction, and multiplication in a mongodb query
  

  transform double values to integers when querying a mongodb collection
  

  define a simple aggregation pipeline in mongodb
  

  execute a script from the mongodb shell
  

  filter documents based on the contents of nested document fields and arrays
  

  recognize how query execution statistics can be obtained for a mongodb query
  

  create an index containing a single field from the documents of a mongodb collection
  

  download and install visual studio code and use it to connect to an atlas cluster
  

  define a transaction that updates two different documents based on an action performed by an end-user
  

  simulate an error and roll back a transaction when even a single modification operation does not occur correctly